{
  "x402Version": 2,
  "site": "tensorfeed.ai",
  "publisher": {
    "name": "TensorFeed.ai",
    "url": "https://tensorfeed.ai",
    "description": "Real-time AI news, model pricing, service status, and machine-payable premium intelligence for AI agents.",
    "agent_fair_trade": "TensorFeed.ai is agent fair-trade certified: open pricing, automatic no-charge on 5xx, breaker, schema fail, and stale data, Ed25519-signed receipts on every paid call, inference-only license. Built with Claude (Anthropic). Standard at /.well-known/agent-fair-trade.json.",
    "method_support": {
      "live": [
        {
          "method": "exact",
          "network": "eip155:8453",
          "asset_symbol": "USDC",
          "note": "USDC on Base mainnet, verified via Base RPC"
        }
      ],
      "evaluating": [
        {
          "method": "stripe",
          "credential_type": "shared_payment_token",
          "spec": "https://link.com/agents",
          "note": "Stripe Link Shared Payment Tokens via x402 with method=stripe in www-authenticate. Under evaluation; not yet accepted."
        }
      ]
    },
    "contact": "contact@tensorfeed.ai",
    "docs": "https://tensorfeed.ai/developers/agent-payments",
    "llmsTxt": "https://tensorfeed.ai/llms.txt",
    "operator": {
      "legalEntity": "Pizza Robot Studios LLC",
      "jurisdiction": "California, USA",
      "terms": "https://tensorfeed.ai/terms",
      "privacy": "https://tensorfeed.ai/privacy",
      "note": "Pizza Robot Studios LLC is the legal entity behind the payment wallet. Premium credits are non-refundable per Section 17.5 of the Terms of Service."
    },
    "validation": {
      "method": "TLS + multi-publication",
      "publishedAt": [
        "https://tensorfeed.ai/llms.txt",
        "https://tensorfeed.ai/api/payment/info",
        "https://github.com/RipperMercs/tensorfeed",
        "https://x.com/tensorfeed"
      ],
      "note": "Cross-check the wallet address across all four published locations before sending funds. If any disagree, do not send."
    }
  },
  "payment": {
    "wallet": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "assetSymbol": "USDC",
    "assetDecimals": 6,
    "network": "eip155:8453",
    "networkName": "Base mainnet",
    "creditsPerUsd": 50,
    "centsPerCredit": 2,
    "volumeDiscounts": [
      {
        "minUsd": 5,
        "creditsPerUsd": 55,
        "label": "10% off"
      },
      {
        "minUsd": 30,
        "creditsPerUsd": 65,
        "label": "25% off"
      },
      {
        "minUsd": 200,
        "creditsPerUsd": 80,
        "label": "40% off"
      }
    ],
    "welcomeBonus": {
      "credits": 50,
      "usdValue": "1.00",
      "trigger": "first successful USDC payment from a new sender wallet",
      "appliesTo": [
        "credits flow (/api/payment/confirm)",
        "x402 fallback"
      ],
      "stackableWithVolumeDiscounts": true,
      "responseFields": [
        "welcome_bonus_credits",
        "is_first_payment"
      ]
    },
    "freeTrialAllowance": {
      "calls": 100,
      "windowHours": 24,
      "windowKind": "rolling per IP",
      "authRequired": false,
      "walletRequired": false,
      "appliesTo": "every /api/premium/* endpoint",
      "selfServiceStatusEndpoint": "https://tensorfeed.ai/api/free-tier/status",
      "exhaustedBehavior": "Returns the canonical x402 V2 PaymentRequired (402) challenge with the trial state surfaced under free_trial.status='exhausted'. Agent can wait for the rolling 24h reset OR pay via X-PAYMENT (EIP-3009) OR buy credits via /api/payment/buy-credits.",
      "stackableWith": "welcomeBonus + volumeDiscounts (independent: trial gives evaluation; bonus + discounts apply to first paid purchase)",
      "responseFields": [
        "billing.tier='free_trial'",
        "billing.free_trial_used_today",
        "billing.free_trial_remaining",
        "billing.free_trial_resets_at",
        "X-TF-Free-Trial header set on every trial-served response"
      ],
      "rationale": "Removes wallet-setup friction for first-time agent evaluation. Lets an agent prototype against any premium endpoint with zero authentication, zero on-chain settlement, and zero per-call cost until the daily cap is hit. Conversion path remains unchanged: agents that want production access buy credits or pay per call via x402."
    },
    "flows": {
      "credits": {
        "description": "Recommended for repeat use. Buy a bearer token once, decrement credits per call.",
        "endpoints": {
          "info": "https://tensorfeed.ai/api/payment/info",
          "quote": "https://tensorfeed.ai/api/payment/buy-credits",
          "confirm": "https://tensorfeed.ai/api/payment/confirm",
          "balance": "https://tensorfeed.ai/api/payment/balance",
          "usage": "https://tensorfeed.ai/api/payment/usage"
        }
      },
      "x402": {
        "description": "Canonical Coinbase x402 V2 exact scheme on Base mainnet. Call any /api/premium/* endpoint without auth to receive a 402 with PaymentRequired body. Sign an EIP-3009 transferWithAuthorization for the exact amount, base64-encode the PaymentPayload, retry with the X-PAYMENT header. The TensorFeed facilitator broadcasts on-chain and returns 200 with PAYMENT-RESPONSE settlement receipt and a credits token. Compatible with Amazon Bedrock AgentCore Payments and the @coinbase/x402 SDK out of the box.",
        "header": "X-PAYMENT",
        "scheme": "exact",
        "spec": "https://github.com/coinbase/x402/blob/main/specs/x402-specification-v2.md",
        "verification": "Facilitator verifies EIP-712 signature against USDC v2 domain on Base mainnet (chainId 8453, contract 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913), checks parameter alignment with PaymentRequirements, time window, and EIP-3009 nonce state, then broadcasts via USDC.transferWithAuthorization. Replay protection: USDC enforces (from, nonce) uniqueness on-chain; facilitator also stakes a KV claim before broadcast."
      },
      "x402_legacy": {
        "description": "TensorFeed-specific legacy fallback. The agent pre-broadcasts USDC on Base, then submits the tx hash plus a quote nonce. Kept for back-compat with TensorFeed SDK clients shipped before the standards-compliant facilitator. Vanilla Coinbase x402 clients including AgentCore Payments should use the X-PAYMENT path above.",
        "header": "X-Payment-Tx",
        "auxiliary_header": "X-Payment-Quote",
        "verification": "Worker reads the USDC Transfer event from eth_getTransactionReceipt on the Base mainnet RPC. Replay protection: every used tx hash is permanently recorded. AFTA Tx-Sniper guard binds the on-chain sender to the X-Payment-Quote nonce."
      }
    },
    "terms": {
      "noTraining": "Premium data is licensed for inference use only. Use of TensorFeed premium endpoint responses for training, fine-tuning, evaluation, or distillation of machine learning models is prohibited.",
      "refund": "All credit purchases are final and non-refundable per Section 17.5 of the Terms. Credits do not expire and remain redeemable across tensorfeed.ai and terminalfeed.io. Recommended pattern: buy small (for example, $1 USDC for 50 credits), calibrate, top up as needed.",
      "sla": "No SLA in MVP phase. Credits do not expire.",
      "sanctions": "Premium API access is unavailable to persons or entities subject to OFAC, EU, UK, or UN sanctions, and to residents of comprehensively sanctioned jurisdictions (Cuba, Iran, North Korea, Syria, Crimea, Donetsk, Luhansk). Inbound credit-purchase transactions are screened against the Chainalysis public sanctions API. See https://tensorfeed.ai/terms#premium Section 17.9.",
      "acceptableUse": "No reselling of bearer tokens or proxy APIs that materially reproduce the Premium API surface. No use of premium responses to train or evaluate competing models. See Section 17.12.",
      "governingLaw": "California law. Exclusive venue: Los Angeles County, California. See Section 15 Governing Law and Venue."
    }
  },
  "items": [
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/routing",
        "description": "Top-N AI model recommendation for a task. Joins live pricing, benchmarks, provider status, and latency into a single composite score so an agent gets a ranked answer in one call instead of stitching three free endpoints together.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-24T00:00:00Z",
      "metadata": {
        "name": "Premium routing recommendations",
        "description": "Top-N AI model recommendation for a task. Joins live pricing, benchmarks, provider status, and latency into a single composite score so an agent gets a ranked answer in one call instead of stitching three free endpoints together.",
        "tier": 2,
        "credits": 1,
        "category": "ai-model-routing",
        "input": {
          "task": "code|reasoning|creative|general",
          "budget": 5,
          "min_quality": 0.7,
          "top_n": 3
        },
        "inputSchema": {
          "type": "object",
          "properties": {
            "task": {
              "type": "string",
              "enum": [
                "code",
                "reasoning",
                "creative",
                "general"
              ],
              "description": "Task family the model needs to be good at"
            },
            "budget": {
              "type": "number",
              "description": "Max blended USD per 1M tokens"
            },
            "min_quality": {
              "type": "number",
              "minimum": 0,
              "maximum": 1
            },
            "top_n": {
              "type": "integer",
              "minimum": 1,
              "maximum": 10
            }
          }
        },
        "output": {
          "example": {
            "task": "code",
            "recommendations": [
              {
                "rank": 1,
                "model": {
                  "name": "Claude Opus 4.7",
                  "provider": "anthropic"
                },
                "pricing": {
                  "input": 15,
                  "output": 75,
                  "currency": "USD",
                  "unit": "per 1M tokens"
                },
                "status": "operational",
                "composite_score": 0.87,
                "components": {
                  "quality": 0.94,
                  "availability": 1,
                  "cost": 0.65,
                  "latency": 0.5
                }
              }
            ],
            "billing": {
              "credits_charged": 1,
              "credits_remaining": 49
            }
          }
        }
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "queryParams": {
                "task": "code",
                "budget": 5,
                "min_quality": 0.7,
                "top_n": 3
              }
            },
            "output": {
              "type": "json",
              "example": {
                "task": "code",
                "recommendations": [
                  {
                    "rank": 1,
                    "model": {
                      "name": "Claude Opus 4.7",
                      "provider": "anthropic"
                    },
                    "pricing": {
                      "input": 15,
                      "output": 75,
                      "currency": "USD",
                      "unit": "per 1M tokens"
                    },
                    "status": "operational",
                    "composite_score": 0.87,
                    "components": {
                      "quality": 0.94,
                      "availability": 1,
                      "cost": 0.65,
                      "latency": 0.5
                    }
                  }
                ],
                "billing": {
                  "credits_charged": 1,
                  "credits_remaining": 49
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "queryParams": {
                    "type": "object",
                    "properties": {
                      "task": {
                        "type": "string",
                        "enum": [
                          "code",
                          "reasoning",
                          "creative",
                          "general"
                        ],
                        "description": "Task family the model needs to be good at."
                      },
                      "budget": {
                        "type": "number",
                        "description": "Max blended USD per 1M tokens."
                      },
                      "min_quality": {
                        "type": "number",
                        "minimum": 0,
                        "maximum": 1,
                        "description": "Minimum acceptable quality score (0 to 1)."
                      },
                      "top_n": {
                        "type": "integer",
                        "minimum": 1,
                        "maximum": 10,
                        "description": "How many models to return ranked, default 3."
                      }
                    }
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          }
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/history/pricing/series",
        "description": "Daily input/output/blended price points for one model with min/max/delta summary. Default 30-day window, max 90 days.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-04-27T00:00:00Z",
      "metadata": {
        "name": "Pricing series",
        "description": "Daily input/output/blended price points for one model with min/max/delta summary. Default 30-day window, max 90 days.",
        "tier": 1,
        "credits": 1,
        "category": "ai-pricing-history"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/history/benchmarks/series",
        "description": "Score evolution for a single benchmark on one model with delta in percentage points. Supported keys: swe_bench, mmlu_pro, gpqa_diamond, math, human_eval.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-04-27T00:00:00Z",
      "metadata": {
        "name": "Benchmark score series",
        "description": "Score evolution for a single benchmark on one model with delta in percentage points. Supported keys: swe_bench, mmlu_pro, gpqa_diamond, math, human_eval.",
        "tier": 1,
        "credits": 1,
        "category": "ai-benchmark-history"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/history/status/uptime",
        "description": "Daily uptime rollup for one provider with operational, degraded, and down day counts. Uptime % treats degraded as half-credit. Missing-data days excluded from denominator.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-04-27T00:00:00Z",
      "metadata": {
        "name": "Uptime rollup",
        "description": "Daily uptime rollup for one provider with operational, degraded, and down day counts. Uptime % treats degraded as half-credit. Missing-data days excluded from denominator.",
        "tier": 1,
        "credits": 1,
        "category": "ai-status-history"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/history/news/full",
        "description": "Untruncated TensorFeed daily news archive. Pass ?date=YYYY-MM-DD for one day, or ?from=&to= for a range up to 30 days. Each day returns up to 200 deduped articles captured from the most recent hourly RSS poll.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-08T00:00:00Z",
      "metadata": {
        "name": "Full news history snapshot",
        "description": "Untruncated TensorFeed daily news archive. Pass ?date=YYYY-MM-DD for one day, or ?from=&to= for a range up to 30 days. Each day returns up to 200 deduped articles captured from the most recent hourly RSS poll.",
        "tier": 1,
        "credits": 1,
        "category": "ai-news-history"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/history/news/source-health",
        "description": "Multi-day per-source RSS poll reliability series across all TensorFeed news sources. Daily polls/poll_ok/poll_empty/poll_error/articles_total per source, plus reliability_pct and last_status. Range capped at 90 days.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-08T00:00:00Z",
      "metadata": {
        "name": "RSS source-health series",
        "description": "Multi-day per-source RSS poll reliability series across all TensorFeed news sources. Daily polls/poll_ok/poll_empty/poll_error/articles_total per source, plus reliability_pct and last_status. Range capped at 90 days.",
        "tier": 1,
        "credits": 1,
        "category": "ai-news-history"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/security/cve/range",
        "description": "MITRE CVE List range query: CVE IDs added or modified across a UTC date range, capped at 30 days. Each day in the response carries the full CVE-ID set indexed by the daily cvelistV5 commit-history scan. Pair with /api/security/cve/{id} for the per-CVE Record v5.2 lookup. License: MITRE CVE Terms of Use, commercial redistribution permitted; attribution block included on every response.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-08T00:00:00Z",
      "metadata": {
        "name": "CVE range query",
        "description": "MITRE CVE List range query: CVE IDs added or modified across a UTC date range, capped at 30 days. Each day in the response carries the full CVE-ID set indexed by the daily cvelistV5 commit-history scan. Pair with /api/security/cve/{id} for the per-CVE Record v5.2 lookup. License: MITRE CVE Terms of Use, commercial redistribution permitted; attribution block included on every response.",
        "tier": 1,
        "credits": 1,
        "category": "ai-security-cve"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/security/kev/full",
        "description": "Full untruncated CISA Known Exploited Vulnerabilities catalog. Free tier returns top-50 most recent entries; this endpoint returns the entire current catalog (~1500+ entries) with full entry detail. License: US Government public domain (17 USC 105), commercial redistribution explicitly permitted; attribution block on every response.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-08T00:00:00Z",
      "metadata": {
        "name": "CISA KEV full catalog",
        "description": "Full untruncated CISA Known Exploited Vulnerabilities catalog. Free tier returns top-50 most recent entries; this endpoint returns the entire current catalog (~1500+ entries) with full entry detail. License: US Government public domain (17 USC 105), commercial redistribution explicitly permitted; attribution block on every response.",
        "tier": 1,
        "credits": 1,
        "category": "ai-security-kev"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/security/kev/series",
        "description": "Multi-day series of CISA KEV catalog additions across a UTC date range, capped at 90 days. Each day returns the full entry list whose dateAdded fell on that day. License: US Government public domain (17 USC 105), commercial redistribution explicitly permitted.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-08T00:00:00Z",
      "metadata": {
        "name": "CISA KEV added series",
        "description": "Multi-day series of CISA KEV catalog additions across a UTC date range, capped at 90 days. Each day returns the full entry list whose dateAdded fell on that day. License: US Government public domain (17 USC 105), commercial redistribution explicitly permitted.",
        "tier": 1,
        "credits": 1,
        "category": "ai-security-kev"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/security/epss/series",
        "description": "Full historical EPSS (Exploit Prediction Scoring System) time-series for one CVE, sourced from FIRST.org. EPSS estimates the daily probability of exploitation in the next 30 days. License: free for any use per FIRST.org policy; commercial redistribution permitted.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-08T00:00:00Z",
      "metadata": {
        "name": "EPSS time series",
        "description": "Full historical EPSS (Exploit Prediction Scoring System) time-series for one CVE, sourced from FIRST.org. EPSS estimates the daily probability of exploitation in the next 30 days. License: free for any use per FIRST.org policy; commercial redistribution permitted.",
        "tier": 1,
        "credits": 1,
        "category": "ai-security-epss"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/security/epss/top",
        "description": "Top-N CVEs ranked by current or historical EPSS exploitation-likelihood score. Optional ?date=YYYY-MM-DD returns the leaderboard as of any past date. License: FIRST.org free-for-any-use policy.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-08T00:00:00Z",
      "metadata": {
        "name": "EPSS top-N",
        "description": "Top-N CVEs ranked by current or historical EPSS exploitation-likelihood score. Optional ?date=YYYY-MM-DD returns the leaderboard as of any past date. License: FIRST.org free-for-any-use policy.",
        "tier": 1,
        "credits": 1,
        "category": "ai-security-epss"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/clean/cve/{CVE-id}",
        "description": "MITRE CVE Record v5.2 transformed into a flat token-efficient payload optimized for LLM context windows. Drops typical record from ~3KB nested JSON to ~500 bytes flat JSON (~80% token reduction) with no information loss for agent decision-making. Adds derived severity_band, deduped CWEs, flat affected_products, top references. Versioned via schema_version + cleaning_version for stability. License: MITRE CVE Terms of Use; commercial redistribution permitted.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-09T00:00:00Z",
      "metadata": {
        "name": "LLM-ready CVE record",
        "description": "MITRE CVE Record v5.2 transformed into a flat token-efficient payload optimized for LLM context windows. Drops typical record from ~3KB nested JSON to ~500 bytes flat JSON (~80% token reduction) with no information loss for agent decision-making. Adds derived severity_band, deduped CWEs, flat affected_products, top references. Versioned via schema_version + cleaning_version for stability. License: MITRE CVE Terms of Use; commercial redistribution permitted.",
        "tier": 1,
        "credits": 1,
        "category": "ai-security-cve-clean"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/clean/kev/{CVE-id}",
        "description": "CISA Known Exploited Vulnerabilities entry transformed into LLM-ready format with normalized ransomware_use enum (yes / unknown / no) and extracted notes_urls. Versioned for stability. License: US Government public domain.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-09T00:00:00Z",
      "metadata": {
        "name": "LLM-ready KEV entry",
        "description": "CISA Known Exploited Vulnerabilities entry transformed into LLM-ready format with normalized ransomware_use enum (yes / unknown / no) and extracted notes_urls. Versioned for stability. License: US Government public domain.",
        "tier": 1,
        "credits": 1,
        "category": "ai-security-kev-clean"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/clean/epss/{CVE-id}",
        "description": "FIRST.org EPSS score transformed into LLM-ready format with numeric probability (not stringified), derived risk_band (low/medium/high/critical), and optional series summary (first/min/max points instead of full daily series). Optional ?series=true returns the summary; default returns the current point only. License: FIRST.org free-for-any-use policy.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-09T00:00:00Z",
      "metadata": {
        "name": "LLM-ready EPSS score",
        "description": "FIRST.org EPSS score transformed into LLM-ready format with numeric probability (not stringified), derived risk_band (low/medium/high/critical), and optional series summary (first/min/max points instead of full daily series). Optional ?series=true returns the summary; default returns the current point only. License: FIRST.org free-for-any-use policy.",
        "tier": 1,
        "credits": 1,
        "category": "ai-security-epss-clean"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/security/verified/{CVE-id}",
        "description": "Single-call cross-database CVE verification. Composes MITRE CVE Record + CISA Known Exploited Vulnerabilities + FIRST.org EPSS + OSV.dev advisory + CISA Vulnrichment SSVC into one LLM-ready fact card with confirmed_by array and corroboration_count. Reduces 5 fan-out calls and 5 different parsing schemas to one. The anti-hallucination lookup for security agents: corroboration_count is auditable per call. Sources missing the CVE just don't appear in confirmed_by; the call still returns whatever sources do have it. License terms inherited from each upstream source; attribution block per source included on every response.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-09T00:00:00Z",
      "metadata": {
        "name": "Verified CVE (cross-database)",
        "description": "Single-call cross-database CVE verification. Composes MITRE CVE Record + CISA Known Exploited Vulnerabilities + FIRST.org EPSS + OSV.dev advisory + CISA Vulnrichment SSVC into one LLM-ready fact card with confirmed_by array and corroboration_count. Reduces 5 fan-out calls and 5 different parsing schemas to one. The anti-hallucination lookup for security agents: corroboration_count is auditable per call. Sources missing the CVE just don't appear in confirmed_by; the call still returns whatever sources do have it. License terms inherited from each upstream source; attribution block per source included on every response.",
        "tier": 1,
        "credits": 1,
        "category": "ai-security-verified-cve"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/clean/openrouter/{model_id}",
        "description": "One model from the OpenRouter catalog (367+ entries) returned as an LLM-ready fact card. Pricing normalized to USD per million tokens with derived blended_5_to_1 input:output mix. Capability flags (tools, vision, structured_outputs, reasoning, response_format) extracted from supported_parameters + modality so agents can boolean-filter without parsing the raw parameter array. Free-tier detection (is_free_tier) and creation-date ISO normalization included. Compression typically 99%+ (270KB catalog -> ~500B card) since OpenRouter has no per-id filter on its public catalog endpoint. License: Public catalog data; pricing and capabilities owned by OpenRouter and the underlying inference providers.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-09T00:00:00Z",
      "metadata": {
        "name": "LLM-ready OpenRouter model card",
        "description": "One model from the OpenRouter catalog (367+ entries) returned as an LLM-ready fact card. Pricing normalized to USD per million tokens with derived blended_5_to_1 input:output mix. Capability flags (tools, vision, structured_outputs, reasoning, response_format) extracted from supported_parameters + modality so agents can boolean-filter without parsing the raw parameter array. Free-tier detection (is_free_tier) and creation-date ISO normalization included. Compression typically 99%+ (270KB catalog -> ~500B card) since OpenRouter has no per-id filter on its public catalog endpoint. License: Public catalog data; pricing and capabilities owned by OpenRouter and the underlying inference providers.",
        "tier": 1,
        "credits": 1,
        "category": "ai-models-openrouter-clean"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/history/news/clusters/full",
        "description": "Full untruncated story-level cross-source corroboration clusters per UTC date or range up to 30 days. Each cluster groups TensorFeed news articles about the same story via embedding-based similarity (Workers AI bge-base-en-v1.5 at threshold 0.82) and reports source_count, sources_list, hero article (earliest publishedAt), corroboration_band (single/limited/broad), and contributing article_ids. The free /api/history/news/clusters caps at 25 clusters/day; this endpoint returns all clusters with no cap.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-09T00:00:00Z",
      "metadata": {
        "name": "News story clusters (full)",
        "description": "Full untruncated story-level cross-source corroboration clusters per UTC date or range up to 30 days. Each cluster groups TensorFeed news articles about the same story via embedding-based similarity (Workers AI bge-base-en-v1.5 at threshold 0.82) and reports source_count, sources_list, hero article (earliest publishedAt), corroboration_band (single/limited/broad), and contributing article_ids. The free /api/history/news/clusters caps at 25 clusters/day; this endpoint returns all clusters with no cap.",
        "tier": 1,
        "credits": 1,
        "category": "news-verification"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/history/news/verified",
        "description": "Story-level news feed filtered to clusters with N or more independent sources corroborating. Default min_sources=4 (broad corroboration). Agents asking 'do not act on a single source' get a clean stream of stories that cleared the trust threshold. The trust play Gemini named: only TF can ship this because only TF has the cross-source view at scale. Single-date or 30-day range. Computed nightly via Workers AI bge-base-en-v1.5 embedding clustering.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-09T00:00:00Z",
      "metadata": {
        "name": "Verified news feed",
        "description": "Story-level news feed filtered to clusters with N or more independent sources corroborating. Default min_sources=4 (broad corroboration). Agents asking 'do not act on a single source' get a clean stream of stories that cleared the trust threshold. The trust play Gemini named: only TF can ship this because only TF has the cross-source view at scale. Single-date or 30-day range. Computed nightly via Workers AI bge-base-en-v1.5 embedding clustering.",
        "tier": 1,
        "credits": 1,
        "category": "news-verification"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/clean/fda/{category}",
        "description": "OpenFDA query results transformed into LLM-ready format with per-category flat schemas. drug/events flattens FAERS adverse-event reports with patient demo + drugs + reactions + outcomes + seriousness flags. drug/labels surfaces brand/generic/manufacturer + section text. drug/recalls + food/recalls expose enforcement reports with classification + reason + voluntary flag. device/events extracts primary device + outcomes + truncated narrative from MAUDE. License: CC0 1.0 Universal Dedication.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-09T00:00:00Z",
      "metadata": {
        "name": "LLM-ready OpenFDA query",
        "description": "OpenFDA query results transformed into LLM-ready format with per-category flat schemas. drug/events flattens FAERS adverse-event reports with patient demo + drugs + reactions + outcomes + seriousness flags. drug/labels surfaces brand/generic/manufacturer + section text. drug/recalls + food/recalls expose enforcement reports with classification + reason + voluntary flag. device/events extracts primary device + outcomes + truncated narrative from MAUDE. License: CC0 1.0 Universal Dedication.",
        "tier": 1,
        "credits": 1,
        "category": "health-regulatory-clean"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/agents/directory",
        "description": "Enriched AI agents directory. One paid call returns the catalog joined with live provider status, recent news mentions, 24h agent traffic, and sample model pricing, ranked by a derived trending score. The agent-discovers-agent feed.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-24T00:00:00Z",
      "metadata": {
        "name": "Enriched agents directory",
        "description": "Enriched AI agents directory. One paid call returns the catalog joined with live provider status, recent news mentions, 24h agent traffic, and sample model pricing, ranked by a derived trending score. The agent-discovers-agent feed.",
        "tier": 1,
        "credits": 1,
        "category": "ai-agents-directory"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "queryParams": {
                "category": "coding",
                "status": "operational",
                "open_source": false,
                "sort": "trending",
                "limit": 25
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "count": 25,
                "agents": [
                  {
                    "id": "claude-code",
                    "name": "Claude Code",
                    "provider": "anthropic",
                    "category": "coding",
                    "live_status": "operational",
                    "trending_score": 87,
                    "recent_news_count": 4,
                    "agent_traffic_24h": 312,
                    "sample_pricing": {
                      "model": "Claude Opus 4.7",
                      "blended_per_1m": 25
                    },
                    "url": "https://claude.com/code"
                  }
                ],
                "billing": {
                  "credits_charged": 1,
                  "credits_remaining": 49
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "queryParams": {
                    "type": "object",
                    "properties": {
                      "category": {
                        "type": "string",
                        "description": "Filter by category id (coding, search, voice, etc)."
                      },
                      "status": {
                        "type": "string",
                        "enum": [
                          "operational",
                          "degraded",
                          "down",
                          "unknown"
                        ]
                      },
                      "open_source": {
                        "type": "boolean"
                      },
                      "capability": {
                        "type": "string",
                        "description": "Filter to agents declaring this capability."
                      },
                      "sort": {
                        "type": "string",
                        "enum": [
                          "trending",
                          "name",
                          "recent_news",
                          "agent_traffic"
                        ]
                      },
                      "limit": {
                        "type": "integer",
                        "minimum": 1,
                        "maximum": 100
                      }
                    }
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          }
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/news/search",
        "description": "Full-text search over the AI news corpus with relevance scoring (term hits weighted 3 in title, 1 in snippet, plus recency boost) and date/provider/category filters.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-04-27T00:00:00Z",
      "metadata": {
        "name": "News search",
        "description": "Full-text search over the AI news corpus with relevance scoring (term hits weighted 3 in title, 1 in snippet, plus recency boost) and date/provider/category filters.",
        "tier": 1,
        "credits": 1,
        "category": "ai-news-search"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/whats-new",
        "description": "Agent morning brief. One paid call returns the last 24 hours of AI pricing changes, new and removed models, service-status incidents, and top news headlines. The endpoint an agent calls on boot.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-24T00:00:00Z",
      "metadata": {
        "name": "What's new",
        "description": "Agent morning brief. One paid call returns the last 24 hours of AI pricing changes, new and removed models, service-status incidents, and top news headlines. The endpoint an agent calls on boot.",
        "tier": 1,
        "credits": 1,
        "category": "ai-agent-brief"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "queryParams": {
                "days": 1,
                "news_limit": 10
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "window": {
                  "from": "2026-05-13",
                  "to": "2026-05-14",
                  "days": 1
                },
                "computed_at": "2026-05-14T08:00:00Z",
                "summary": {
                  "total_pricing_changes": 3,
                  "new_models": 1,
                  "removed_models": 0,
                  "incidents": 2,
                  "news_articles": 10
                },
                "pricing": {
                  "changes": [
                    {
                      "model": "Claude Opus 4.7",
                      "provider": "anthropic",
                      "field": "inputPrice",
                      "from": 15,
                      "to": 14,
                      "delta_pct": -6.6667
                    }
                  ],
                  "new_models": [
                    {
                      "model": "Sonnet 4.7",
                      "provider": "anthropic",
                      "input_per_1m": 3,
                      "output_per_1m": 15,
                      "tier": "mid"
                    }
                  ],
                  "removed_models": []
                },
                "status": {
                  "incidents": [
                    {
                      "service": "API",
                      "provider": "openai",
                      "severity": "minor",
                      "title": "Elevated latency for ChatGPT",
                      "started_at": "2026-05-13T18:00:00Z",
                      "resolved_at": "2026-05-13T19:30:00Z",
                      "duration_minutes": 90
                    }
                  ],
                  "currently_operational": 12,
                  "currently_degraded": 1,
                  "currently_down": 0,
                  "currently_unknown": 0
                },
                "news": [
                  {
                    "title": "Anthropic announces Claude Opus 4.8",
                    "url": "https://anthropic.com/news/opus-4-8",
                    "source": "Anthropic",
                    "published_at": "2026-05-13T15:00:00Z"
                  }
                ]
              }
            }
          },
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        "description": "Daily OpenRouter cross-provider catalog series over a 90-day window: per-day model count, cheapest paid input and output USD-per-million floor, free-tier count, namespace breadth, plus day-over-day model add and remove churn and per-model price-change counts. OpenRouter serves only current state, so this history is TensorFeed-captured and cannot be backfilled. Default 30-day window, max 90.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-16T00:00:00Z",
      "metadata": {
        "name": "OpenRouter catalog drift series",
        "description": "Daily OpenRouter cross-provider catalog series over a 90-day window: per-day model count, cheapest paid input and output USD-per-million floor, free-tier count, namespace breadth, plus day-over-day model add and remove churn and per-model price-change counts. OpenRouter serves only current state, so this history is TensorFeed-captured and cannot be backfilled. Default 30-day window, max 90.",
        "tier": 1,
        "credits": 1,
        "category": "ai-models-openrouter-series"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/x402-registry/series",
        "description": "Daily x402 publisher-registry series over a 90-day window: reachable vs erroring publisher counts, federation count, network breadth, paid and free endpoint totals, agent-fair-trade declarations, plus day-over-day domains added and removed, status flips, and payment-wallet changes versus the prior captured day. A registry is current-state only, so this history is TensorFeed-captured and cannot be backfilled. Default 30-day window, max 90.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-16T00:00:00Z",
      "metadata": {
        "name": "x402 publisher registry drift series",
        "description": "Daily x402 publisher-registry series over a 90-day window: reachable vs erroring publisher counts, federation count, network breadth, paid and free endpoint totals, agent-fair-trade declarations, plus day-over-day domains added and removed, status flips, and payment-wallet changes versus the prior captured day. A registry is current-state only, so this history is TensorFeed-captured and cannot be backfilled. Default 30-day window, max 90.",
        "tier": 1,
        "credits": 1,
        "category": "ai-x402-registry-series"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/hf/velocity",
        "description": "Daily Hugging Face download-velocity over a 90-day window: per-day top models and datasets by download delta and top Spaces by likes delta among the daily top-30, top-set entered and exited churn, plus window gainers (last minus first captured day). HF exposes only cumulative totals and a live top list, so this velocity is TensorFeed-computed and cannot be backfilled. Default 30-day window, max 90.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-16T00:00:00Z",
      "metadata": {
        "name": "Hugging Face download-velocity series",
        "description": "Daily Hugging Face download-velocity over a 90-day window: per-day top models and datasets by download delta and top Spaces by likes delta among the daily top-30, top-set entered and exited churn, plus window gainers (last minus first captured day). HF exposes only cumulative totals and a live top list, so this velocity is TensorFeed-computed and cannot be backfilled. Default 30-day window, max 90.",
        "tier": 1,
        "credits": 1,
        "category": "ai-hf-velocity-series"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/compare/models",
        "description": "Side-by-side comparison of 2-5 AI models. Returns pricing, benchmarks normalized to union-of-keys with explicit nulls, live provider status, recent news mentions, and per-benchmark rankings in one ready-to-rank payload.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-24T00:00:00Z",
      "metadata": {
        "name": "Compare models",
        "description": "Side-by-side comparison of 2-5 AI models. Returns pricing, benchmarks normalized to union-of-keys with explicit nulls, live provider status, recent news mentions, and per-benchmark rankings in one ready-to-rank payload.",
        "tier": 1,
        "credits": 1,
        "category": "ai-model-comparison"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "queryParams": {
                "ids": "opus-4-7,gpt-5-5,gemini-3"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "models": [
                  {
                    "id": "opus-4-7",
                    "name": "Claude Opus 4.7",
                    "provider": "anthropic",
                    "pricing": {
                      "input": 15,
                      "output": 75,
                      "blended": 25
                    },
                    "benchmarks": {
                      "swe_bench": 0.74,
                      "mmlu_pro": 0.83,
                      "gpqa_diamond": 0.68,
                      "math": null,
                      "human_eval": 0.94
                    },
                    "status": "operational",
                    "news_count_30d": 12,
                    "context_window": 200000
                  }
                ],
                "rankings": {
                  "cheapest_blended": [
                    "gpt-5-5",
                    "gemini-3",
                    "opus-4-7"
                  ],
                  "widest_context": [
                    "gemini-3",
                    "opus-4-7",
                    "gpt-5-5"
                  ],
                  "per_benchmark": {
                    "swe_bench": [
                      "opus-4-7",
                      "gpt-5-5",
                      "gemini-3"
                    ]
                  }
                },
                "billing": {
                  "credits_charged": 1,
                  "credits_remaining": 49
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "queryParams": {
                    "type": "object",
                    "properties": {
                      "ids": {
                        "type": "string",
                        "description": "Comma-separated list of 2 to 5 model ids or display names (e.g. \"opus-4-7,gpt-5-5,gemini-3\")."
                      }
                    },
                    "required": [
                      "ids"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          }
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/providers/{name}",
        "description": "Everything about one AI provider in one paid call: live status, all models with pricing + tier + benchmark scores joined, recent news, agent traffic. Aggregation over 4 free endpoints.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-04-27T00:00:00Z",
      "metadata": {
        "name": "Provider deep-dive",
        "description": "Everything about one AI provider in one paid call: live status, all models with pricing + tier + benchmark scores joined, recent news, agent traffic. Aggregation over 4 free endpoints.",
        "tier": 1,
        "credits": 1,
        "category": "ai-provider-deepdive"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/cost/projection",
        "description": "Project the cost of a token-usage workload across 1-10 AI models. Returns daily, weekly, monthly, and yearly totals per model plus a ranking by cheapest monthly. The canonical \"given my workload, what would each model cost me\" call.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-24T00:00:00Z",
      "metadata": {
        "name": "Cost projection",
        "description": "Project the cost of a token-usage workload across 1-10 AI models. Returns daily, weekly, monthly, and yearly totals per model plus a ranking by cheapest monthly. The canonical \"given my workload, what would each model cost me\" call.",
        "tier": 1,
        "credits": 1,
        "category": "ai-cost-projection"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "queryParams": {
                "model": "opus-4-7,gpt-5-5",
                "input_tokens_per_day": 1000000,
                "output_tokens_per_day": 200000,
                "horizon": "monthly"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "workload": {
                  "input_tokens_per_day": 1000000,
                  "output_tokens_per_day": 200000
                },
                "primary_horizon": "monthly",
                "projections": [
                  {
                    "model": "Claude Opus 4.7",
                    "provider": "anthropic",
                    "matched": true,
                    "rates": {
                      "input_per_1m": 15,
                      "output_per_1m": 75,
                      "blended_per_1m": 25
                    },
                    "daily": {
                      "input_cost": 15,
                      "output_cost": 15,
                      "total": 30
                    },
                    "weekly_total": 210,
                    "monthly_total": 900,
                    "yearly_total": 10950
                  }
                ],
                "ranking_by_monthly_cheapest": [
                  "gpt-5-5",
                  "opus-4-7"
                ],
                "billing": {
                  "credits_charged": 1,
                  "credits_remaining": 49
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "queryParams": {
                    "type": "object",
                    "properties": {
                      "model": {
                        "type": "string",
                        "description": "Comma-separated list of 1 to 10 model ids or display names."
                      },
                      "input_tokens_per_day": {
                        "type": "integer",
                        "minimum": 0,
                        "description": "Input tokens per day for the workload."
                      },
                      "output_tokens_per_day": {
                        "type": "integer",
                        "minimum": 0,
                        "description": "Output tokens per day for the workload."
                      },
                      "horizon": {
                        "type": "string",
                        "enum": [
                          "daily",
                          "weekly",
                          "monthly",
                          "yearly"
                        ],
                        "description": "Primary horizon for the ranking (other horizons are still returned). Default monthly."
                      }
                    },
                    "required": [
                      "model",
                      "input_tokens_per_day",
                      "output_tokens_per_day"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          }
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/watches",
        "description": "Register a webhook watch on a price change or service status transition. HMAC-SHA256 signed POST deliveries. 90-day TTL, default fire cap 100, per-token cap 25.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "POST",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-04-27T00:00:00Z",
      "metadata": {
        "name": "Webhook watches",
        "description": "Register a webhook watch on a price change or service status transition. HMAC-SHA256 signed POST deliveries. 90-day TTL, default fire cap 100, per-token cap 25.",
        "tier": 1,
        "credits": 1,
        "category": "ai-webhooks",
        "input": {
          "spec": {
            "type": "price",
            "model": "Claude Opus 4.7",
            "field": "blended",
            "op": "lt",
            "threshold": 30
          },
          "callback_url": "https://your-agent.example.com/hook",
          "secret": "optional shared secret"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/funding/exposure",
        "description": "Derived structural metrics over the AI funding portfolio. Silicon-vendor concentration shares per investor, circular-loop classification (fully-circular / partial-loop / agnostic), co-investor pairs holding the same recipient, top recipients by inbound capital. The \"who is funding whose silicon\" call.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "60000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-24T00:00:00Z",
      "metadata": {
        "name": "AI funding exposure metrics",
        "description": "Derived structural metrics over the AI funding portfolio. Silicon-vendor concentration shares per investor, circular-loop classification (fully-circular / partial-loop / agnostic), co-investor pairs holding the same recipient, top recipients by inbound capital. The \"who is funding whose silicon\" call.",
        "tier": 1,
        "credits": 3,
        "category": "ai-funding-exposure"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "queryParams": {}
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "capturedAt": "2026-05-23T05:00:00Z",
                "silicon_concentration": [
                  {
                    "vendor": "Nvidia",
                    "total_usd": 12500000000,
                    "recipient_count": 18
                  },
                  {
                    "vendor": "AMD",
                    "total_usd": 3100000000,
                    "recipient_count": 6
                  }
                ],
                "investor_loops": [
                  {
                    "investor": "Microsoft",
                    "classification": "fully-circular",
                    "silicon_exposure_pct": 78
                  },
                  {
                    "investor": "Andreessen Horowitz",
                    "classification": "agnostic",
                    "silicon_exposure_pct": 0
                  }
                ],
                "top_recipients": [
                  {
                    "name": "OpenAI",
                    "inbound_usd": 13000000000,
                    "investor_count": 4
                  }
                ],
                "co_investor_pairs": [
                  {
                    "a": "Microsoft",
                    "b": "Nvidia",
                    "shared_recipients": [
                      "OpenAI",
                      "Mistral"
                    ]
                  }
                ],
                "billing": {
                  "credits_charged": 3,
                  "credits_remaining": 47
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "queryParams": {
                    "type": "object"
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          }
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/research/authors",
        "description": "Top 100 AI researchers ranked by AI publication volume in the trailing 365 days, enriched with h-index, i10-index, total citation count, primary affiliation (institution + country), ORCID, and derived AI-share-of-total. OpenAlex CC0. Daily refresh.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-24T00:00:00Z",
      "metadata": {
        "name": "Top AI authors",
        "description": "Top 100 AI researchers ranked by AI publication volume in the trailing 365 days, enriched with h-index, i10-index, total citation count, primary affiliation (institution + country), ORCID, and derived AI-share-of-total. OpenAlex CC0. Daily refresh.",
        "tier": 1,
        "credits": 1,
        "category": "research-authors"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "queryParams": {}
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "capturedAt": "2026-05-23T06:00:00Z",
                "window_days": 365,
                "concept": {
                  "id": "C154945302",
                  "name": "Artificial intelligence"
                },
                "authors": [
                  {
                    "rank": 1,
                    "openalex_id": "A5023888391",
                    "display_name": "Yoshua Bengio",
                    "orcid": "https://orcid.org/0000-0002-9322-3515",
                    "primary_affiliation": {
                      "openalex_id": "I70931966",
                      "display_name": "Université de Montréal",
                      "country_code": "CA"
                    },
                    "ai_works_last_year": 87,
                    "total_works_count": 821,
                    "cited_by_count": 412000,
                    "h_index": 168,
                    "i10_index": 632,
                    "ai_share_pct": 0.74
                  }
                ],
                "billing": {
                  "credits_charged": 1,
                  "credits_remaining": 49
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "queryParams": {
                    "type": "object"
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          }
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/research/citation-velocity",
        "description": "Top 100 recent AI papers ranked by the share of their total citations earned in the most recent calendar year. Papers published in the last 2 years with 3+ citations. Surfaces papers that are still gaining traction now. OpenAlex CC0.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
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        }
      ],
      "lastUpdated": "2026-05-24T00:00:00Z",
      "metadata": {
        "name": "AI safety incidents exposure",
        "description": "AI safety incident exposure analytics. Per-developer and per-deployer incident counts with recency-weighted exposure_score (1.0 last 30d, 0.5 days 31-90, 0.25 older), risk_domain and SEP-view (Security/Ethics/Performance) distributions, top affected artifacts. Derived over the AVID (avidml/avid-db, MIT) snapshot refreshed daily. The \"which AI vendors have the most recent reported safety incidents\" call.",
        "tier": 1,
        "credits": 1,
        "category": "ai-safety-exposure"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
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              "queryParams": {
                "vendor": "OpenAI",
                "risk_domain": "Security",
                "within_days": 90
              }
            },
            "output": {
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                  "cutoff_date": "2026-02-23"
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                "developers": [
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                    "exposure_score": 5.5,
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                "sep_view": [
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        "description": "AI-package security radar. Per-package risk_score (0-100) over the daily OSV snapshot of curated AI/ML PyPI + npm packages: critical_count_30d * 25 + high_30d * 12 + critical_90d * 6 + high_90d * 3 + min(open_count, 20) + 5 if any advisory in last 7d, saturated to 100. Risk_band classifications (calm <10 / watch 10-25 / hot 25-50 / critical 50+) plus notable_movers (top-5 by_critical_30d, by_risk_score, new_in_last_7d). The \"which AI deps should I be worried about right now\" call.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
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          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
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      ],
      "lastUpdated": "2026-05-24T00:00:00Z",
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        "name": "AI-package security radar",
        "description": "AI-package security radar. Per-package risk_score (0-100) over the daily OSV snapshot of curated AI/ML PyPI + npm packages: critical_count_30d * 25 + high_30d * 12 + critical_90d * 6 + high_90d * 3 + min(open_count, 20) + 5 if any advisory in last 7d, saturated to 100. Risk_band classifications (calm <10 / watch 10-25 / hot 25-50 / critical 50+) plus notable_movers (top-5 by_critical_30d, by_risk_score, new_in_last_7d). The \"which AI deps should I be worried about right now\" call.",
        "tier": 1,
        "credits": 1,
        "category": "ai-package-security"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "queryParams": {
                "ecosystem": "PyPI",
                "category": "agent-framework",
                "min_risk_score": 10
              }
            },
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                "filter": {
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                "rows": [
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                    "critical_count_90d": 1,
                    "high_count_90d": 2,
                    "latest_advisory_id": "GHSA-xxxx-xxxx-2026",
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                    "risk_score": 39,
                    "risk_band": "hot",
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                      "category": {
                        "type": "string",
                        "description": "Case-insensitive substring match against curated category (llm-sdk, agent-framework, rag, ...)."
                      },
                      "package": {
                        "type": "string",
                        "description": "Case-insensitive substring match against package name."
                      },
                      "min_risk_score": {
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                        "minimum": 0,
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    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/packages/releases/velocity",
        "description": "AI-package release velocity. Per-package releases_24h / releases_7d / releases_30d, latest bump classification (major/minor/patch/prerelease, pre-1.0 minor counts as major per semver), is_breaking_recent flag (major bump within 30 days). Notable movers: recent_major_bumps, most_releases_7d, fastest_cadence_30d. Filter by ecosystem (PyPI/npm), category (llm-sdk, agent-framework, etc), or package substring. The \"what AI deps just changed and is it breaking\" call.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
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          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
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          "maxTimeoutSeconds": 60,
          "extra": {
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          }
        }
      ],
      "lastUpdated": "2026-05-24T00:00:00Z",
      "metadata": {
        "name": "AI-package release velocity",
        "description": "AI-package release velocity. Per-package releases_24h / releases_7d / releases_30d, latest bump classification (major/minor/patch/prerelease, pre-1.0 minor counts as major per semver), is_breaking_recent flag (major bump within 30 days). Notable movers: recent_major_bumps, most_releases_7d, fastest_cadence_30d. Filter by ecosystem (PyPI/npm), category (llm-sdk, agent-framework, etc), or package substring. The \"what AI deps just changed and is it breaking\" call.",
        "tier": 1,
        "credits": 1,
        "category": "package-release-velocity"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
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              "method": "GET",
              "queryParams": {
                "ecosystem": "PyPI",
                "category": "agent-framework",
                "min_releases_7d": 1
              }
            },
            "output": {
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                  "category": "agent-framework",
                  "package": null,
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                      },
                      "package": {
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                        "description": "Case-insensitive substring match against package name."
                      },
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      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/ai-velocity",
        "description": "AI velocity cross-surface signal. First AFTA federation cross-call: TensorFeed derives an AI cohort from TerminalFeed's HF + GitHub trending leaderboards with per-entry traction_score, cross-pollination (names appearing on BOTH leaderboards = higher confidence), and rollups by HF pipeline + GitHub language. Filters: pipeline, language, min_traction, cross_only.",
        "mimeType": "application/json"
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      "accepts": [
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          "amount": "20000",
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          }
        }
      ],
      "lastUpdated": "2026-05-24T00:00:00Z",
      "metadata": {
        "name": "AI velocity (federation cross-call)",
        "description": "AI velocity cross-surface signal. First AFTA federation cross-call: TensorFeed derives an AI cohort from TerminalFeed's HF + GitHub trending leaderboards with per-entry traction_score, cross-pollination (names appearing on BOTH leaderboards = higher confidence), and rollups by HF pipeline + GitHub language. Filters: pipeline, language, min_traction, cross_only.",
        "tier": 1,
        "credits": 1,
        "category": "ai-velocity-cross-surface"
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      "extensions": {
        "bazaar": {
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              "method": "GET",
              "queryParams": {
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                "language": "Python",
                "min_traction": 50,
                "cross_only": false
              }
            },
            "output": {
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                "filter": {
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                  "language": "Python",
                  "min_traction": 50,
                  "cross_only": false
                },
                "cohort_size": {
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                  "github": 15,
                  "cross_pollinated": 3
                },
                "hf_top": [
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                    "author": "meta-llama",
                    "name": "Llama-4-8B",
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                    "downloads": 2840000,
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                ],
                "github_top": [
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                    "description": "LLM inference in C/C++",
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                    "matched_markers": [
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                "cross_pollinated": [
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                      "url": "https://huggingface.co/meta-llama/Llama-4-8B"
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                      },
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                        "description": "Case-insensitive substring match against GitHub repo primary language."
                      },
                      "min_traction": {
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                        "minimum": 0,
                        "maximum": 10000,
                        "description": "Minimum traction_score to include in headline arrays. Default 0."
                      },
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      "resource": {
        "url": "https://tensorfeed.ai/api/premium/ai-crypto-pulse",
        "description": "AI-thesis token pulse: joins price moves with venue-weighted perp funding-rate skew. Per-token setup classification (squeeze_up = rising + negative funding = shorts trapped; chase_up = rising + positive funding = leverage mean-reversion risk; squeeze_down; chase_down; coiled = flat + extreme funding). Notable movers cohort + breadth + median change summary. Filters: token substring, setup kind, min_abs_change_pct.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
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      ],
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      "metadata": {
        "name": "AI-thesis crypto pulse",
        "description": "AI-thesis token pulse: joins price moves with venue-weighted perp funding-rate skew. Per-token setup classification (squeeze_up = rising + negative funding = shorts trapped; chase_up = rising + positive funding = leverage mean-reversion risk; squeeze_down; chase_down; coiled = flat + extreme funding). Notable movers cohort + breadth + median change summary. Filters: token substring, setup kind, min_abs_change_pct.",
        "tier": 1,
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        "category": "ai-crypto-funding"
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      "extensions": {
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                "filter": {
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                        "period_rate": -0.000232,
                        "mark_price": 412.4
                      },
                      {
                        "venue": "bybit",
                        "annualized_pct": -28.5,
                        "period_rate": -0.000261,
                        "mark_price": 412.5
                      },
                      {
                        "venue": "hyperliquid",
                        "annualized_pct": -31.6,
                        "period_rate": -0.000289,
                        "mark_price": 412.6
                      }
                    ],
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                "notable_movers": {
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                        "minimum": 0,
                        "maximum": 1000,
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    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/coding-harnesses/weekly-deltas",
        "description": "Agentic-coding harness weekly deltas. Compares current TerminalFeed harness leaderboard snapshot (SWE-bench Verified, Terminal-Bench, Aider Polyglot, etc) to a prior snapshot. Per-(benchmark, harness, model) score + rank deltas with change_kind classification (gained / regressed / entered / exited / unchanged). Notable movers (biggest_gainers, biggest_regressions, entered, exited), per-benchmark leader_cards with leader_changed flag, summary rollups. Filters: days_back (1-90, default 7), harness, benchmark, model, min_abs_delta.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
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          "network": "eip155:8453",
          "amount": "20000",
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          "extra": {
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      "lastUpdated": "2026-05-24T00:00:00Z",
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        "name": "Coding-harness weekly deltas",
        "description": "Agentic-coding harness weekly deltas. Compares current TerminalFeed harness leaderboard snapshot (SWE-bench Verified, Terminal-Bench, Aider Polyglot, etc) to a prior snapshot. Per-(benchmark, harness, model) score + rank deltas with change_kind classification (gained / regressed / entered / exited / unchanged). Notable movers (biggest_gainers, biggest_regressions, entered, exited), per-benchmark leader_cards with leader_changed flag, summary rollups. Filters: days_back (1-90, default 7), harness, benchmark, model, min_abs_delta.",
        "tier": 1,
        "credits": 1,
        "category": "coding-harness-deltas"
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      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "queryParams": {
                "days_back": 7,
                "harness": "Claude Code",
                "benchmark": "swe-bench-verified",
                "min_abs_delta": 1
              }
            },
            "output": {
              "type": "json",
              "example": {
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                "capturedAt": "2026-05-24T18:00:00Z",
                "current_captured_at": "2026-05-24T05:25:00Z",
                "prior_captured_at": "2026-05-17T05:25:00Z",
                "days_between_snapshots": 7,
                "source": "terminalfeed.io federation cross-call",
                "filter": {
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                  "harness": "Claude Code",
                  "benchmark": "swe-bench-verified",
                  "model": null,
                  "min_abs_delta": 1
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                  "rows_filtered": 6,
                  "benchmarks_in_window": 4
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                "rows": [
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                    "current_rank": 1,
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                    "rank_delta": 0,
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                        "description": "Case-insensitive substring match against harness name."
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                      "benchmark": {
                        "type": "string",
                        "description": "Case-insensitive substring match against benchmark id."
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                      "model": {
                        "type": "string",
                        "description": "Case-insensitive substring match against model name."
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                        "type": "number",
                        "minimum": 0,
                        "maximum": 100,
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    {
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        "url": "https://tensorfeed.ai/api/premium/news/action-cards",
        "description": "AI news action cards. For each article in the daily TF news feed, Haiku 4.5 produces a structured agent action card answering \"what should an AI agent or operator DO in response to this.\" Per card: action_summary (1-2 sentences), migration_recommendation (string or null), affected_capability (model / pricing / safety / framework / infrastructure / tooling / policy / ecosystem), cost_impact, security_impact, urgency. Filters: capability + urgency exact-match, min_cost_impact + min_security_impact threshold, title/source query. Sort priority: urgency > security > cost > recency.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
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          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
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          }
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      ],
      "lastUpdated": "2026-05-24T00:00:00Z",
      "metadata": {
        "name": "News action cards (Haiku-derived)",
        "description": "AI news action cards. For each article in the daily TF news feed, Haiku 4.5 produces a structured agent action card answering \"what should an AI agent or operator DO in response to this.\" Per card: action_summary (1-2 sentences), migration_recommendation (string or null), affected_capability (model / pricing / safety / framework / infrastructure / tooling / policy / ecosystem), cost_impact, security_impact, urgency. Filters: capability + urgency exact-match, min_cost_impact + min_security_impact threshold, title/source query. Sort priority: urgency > security > cost > recency.",
        "tier": 1,
        "credits": 1,
        "category": "news-action-cards"
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      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "queryParams": {
                "capability": "model",
                "urgency": "immediate",
                "min_cost_impact": "medium"
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                "snapshot_captured_at": "2026-05-24T08:00:00Z",
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                "filter": {
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                  "min_cost_impact": "medium",
                  "min_security_impact": "none",
                  "urgency": "immediate",
                  "query": null
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                  "cards_in_snapshot": 47,
                  "cards_filtered": 3
                },
                "cards": [
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                    "article_title": "Anthropic deprecates Claude 3 Sonnet effective July 21",
                    "article_url": "https://example.com/claude-3-sonnet-deprecated",
                    "article_source": "Anthropic",
                    "article_published_at": "2026-05-23T15:00:00Z",
                    "action_summary": "Migrate any agent still on claude-3-sonnet-20240229 to claude-haiku-4-5 or claude-opus-4-7 before July 21 to avoid silent 410 responses.",
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                    "affected_capability": "model",
                    "cost_impact": "high",
                    "security_impact": "low",
                    "urgency": "immediate",
                    "generated_at": "2026-05-24T08:00:00Z"
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        "description": "AI provider incident triage. For each open or recently-resolved incident across Anthropic, OpenAI, Google, Mistral, Cohere, etc., Haiku 4.5 produces a structured triage card. Per card: triage_summary (1-2 sentences), impact_classification (informational / minor / major / critical), affected_capabilities (inference / training / embeddings / console / billing / fine-tuning / api-keys / tooling), recommended_action (no_action / monitor / retry_later / failover_now / escalate). Filters: provider substring, impact + recommended_action + capability exact-match, ongoing_only.",
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      "lastUpdated": "2026-05-24T00:00:00Z",
      "metadata": {
        "name": "Status incident triage (Haiku-derived)",
        "description": "AI provider incident triage. For each open or recently-resolved incident across Anthropic, OpenAI, Google, Mistral, Cohere, etc., Haiku 4.5 produces a structured triage card. Per card: triage_summary (1-2 sentences), impact_classification (informational / minor / major / critical), affected_capabilities (inference / training / embeddings / console / billing / fine-tuning / api-keys / tooling), recommended_action (no_action / monitor / retry_later / failover_now / escalate). Filters: provider substring, impact + recommended_action + capability exact-match, ongoing_only.",
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        "credits": 1,
        "category": "status-incident-triage"
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      "extensions": {
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          "info": {
            "input": {
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              "method": "GET",
              "queryParams": {
                "provider": "OpenAI",
                "ongoing_only": true,
                "impact": "major"
              }
            },
            "output": {
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              "example": {
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                "capturedAt": "2026-05-24T18:15:00Z",
                "snapshot_captured_at": "2026-05-24T18:15:00Z",
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                "filter": {
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                  "recommended_action": null,
                  "capability": null,
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        "mimeType": "application/json"
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      "x402Version": 2,
      "accepts": [
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          "network": "eip155:8453",
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      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
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        "tier": 1,
        "credits": 1,
        "category": "ai-cve-cleaner-mitre"
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      "extensions": {
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          "info": {
            "input": {
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              "pathParams": {
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        "credits": 1,
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          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "Provider digest: Anthropic",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "tier": 1,
        "credits": 1,
        "category": "ai-provider-digest"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "name": "anthropic"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "provider": "anthropic",
                "models": [
                  {
                    "id": "claude-opus-4-7",
                    "input_price": 14,
                    "output_price": 70
                  }
                ],
                "status": {
                  "operational": true,
                  "incidents_24h": 0
                },
                "reliability_30d": {
                  "uptime_pct": 99.94,
                  "p95_latency_ms": 820
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "name": {
                        "type": "string",
                        "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive."
                      }
                    },
                    "required": [
                      "name"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/providers/:name"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/providers/openai",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "Provider digest: OpenAI",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "tier": 1,
        "credits": 1,
        "category": "ai-provider-digest"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "name": "anthropic"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "provider": "anthropic",
                "models": [
                  {
                    "id": "claude-opus-4-7",
                    "input_price": 14,
                    "output_price": 70
                  }
                ],
                "status": {
                  "operational": true,
                  "incidents_24h": 0
                },
                "reliability_30d": {
                  "uptime_pct": 99.94,
                  "p95_latency_ms": 820
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "name": {
                        "type": "string",
                        "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive."
                      }
                    },
                    "required": [
                      "name"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/providers/:name"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/providers/google",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "Provider digest: Google",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "tier": 1,
        "credits": 1,
        "category": "ai-provider-digest"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "name": "anthropic"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "provider": "anthropic",
                "models": [
                  {
                    "id": "claude-opus-4-7",
                    "input_price": 14,
                    "output_price": 70
                  }
                ],
                "status": {
                  "operational": true,
                  "incidents_24h": 0
                },
                "reliability_30d": {
                  "uptime_pct": 99.94,
                  "p95_latency_ms": 820
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "name": {
                        "type": "string",
                        "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive."
                      }
                    },
                    "required": [
                      "name"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/providers/:name"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/providers/meta",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "Provider digest: Meta",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "tier": 1,
        "credits": 1,
        "category": "ai-provider-digest"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "name": "anthropic"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "provider": "anthropic",
                "models": [
                  {
                    "id": "claude-opus-4-7",
                    "input_price": 14,
                    "output_price": 70
                  }
                ],
                "status": {
                  "operational": true,
                  "incidents_24h": 0
                },
                "reliability_30d": {
                  "uptime_pct": 99.94,
                  "p95_latency_ms": 820
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "name": {
                        "type": "string",
                        "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive."
                      }
                    },
                    "required": [
                      "name"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/providers/:name"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/providers/mistral",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "Provider digest: Mistral",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "tier": 1,
        "credits": 1,
        "category": "ai-provider-digest"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "name": "anthropic"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "provider": "anthropic",
                "models": [
                  {
                    "id": "claude-opus-4-7",
                    "input_price": 14,
                    "output_price": 70
                  }
                ],
                "status": {
                  "operational": true,
                  "incidents_24h": 0
                },
                "reliability_30d": {
                  "uptime_pct": 99.94,
                  "p95_latency_ms": 820
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "name": {
                        "type": "string",
                        "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive."
                      }
                    },
                    "required": [
                      "name"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/providers/:name"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/providers/cohere",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "Provider digest: Cohere",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "tier": 1,
        "credits": 1,
        "category": "ai-provider-digest"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "name": "anthropic"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "provider": "anthropic",
                "models": [
                  {
                    "id": "claude-opus-4-7",
                    "input_price": 14,
                    "output_price": 70
                  }
                ],
                "status": {
                  "operational": true,
                  "incidents_24h": 0
                },
                "reliability_30d": {
                  "uptime_pct": 99.94,
                  "p95_latency_ms": 820
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "name": {
                        "type": "string",
                        "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive."
                      }
                    },
                    "required": [
                      "name"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/providers/:name"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/providers/deepseek",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "Provider digest: DeepSeek",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "tier": 1,
        "credits": 1,
        "category": "ai-provider-digest"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "name": "anthropic"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "provider": "anthropic",
                "models": [
                  {
                    "id": "claude-opus-4-7",
                    "input_price": 14,
                    "output_price": 70
                  }
                ],
                "status": {
                  "operational": true,
                  "incidents_24h": 0
                },
                "reliability_30d": {
                  "uptime_pct": 99.94,
                  "p95_latency_ms": 820
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "name": {
                        "type": "string",
                        "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive."
                      }
                    },
                    "required": [
                      "name"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/providers/:name"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/providers/xai",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "Provider digest: xAI",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "tier": 1,
        "credits": 1,
        "category": "ai-provider-digest"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "name": "anthropic"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "provider": "anthropic",
                "models": [
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                    "input_price": 14,
                    "output_price": 70
                  }
                ],
                "status": {
                  "operational": true,
                  "incidents_24h": 0
                },
                "reliability_30d": {
                  "uptime_pct": 99.94,
                  "p95_latency_ms": 820
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "name": {
                        "type": "string",
                        "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive."
                      }
                    },
                    "required": [
                      "name"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/providers/:name"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/providers/microsoft",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "Provider digest: Microsoft",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "tier": 1,
        "credits": 1,
        "category": "ai-provider-digest"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "name": "anthropic"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "provider": "anthropic",
                "models": [
                  {
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                    "input_price": 14,
                    "output_price": 70
                  }
                ],
                "status": {
                  "operational": true,
                  "incidents_24h": 0
                },
                "reliability_30d": {
                  "uptime_pct": 99.94,
                  "p95_latency_ms": 820
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "name": {
                        "type": "string",
                        "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive."
                      }
                    },
                    "required": [
                      "name"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/providers/:name"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/providers/amazon",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "Provider digest: Amazon Bedrock",
        "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.",
        "tier": 1,
        "credits": 1,
        "category": "ai-provider-digest"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "name": "anthropic"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "provider": "anthropic",
                "models": [
                  {
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                    "input_price": 14,
                    "output_price": 70
                  }
                ],
                "status": {
                  "operational": true,
                  "incidents_24h": 0
                },
                "reliability_30d": {
                  "uptime_pct": 99.94,
                  "p95_latency_ms": 820
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "name": {
                        "type": "string",
                        "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive."
                      }
                    },
                    "required": [
                      "name"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/providers/:name"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/clean/openrouter/anthropic%2Fclaude-opus-4-7",
        "description": "One model from the daily 367-entry OpenRouter catalog as an LLM-ready fact card. Pricing normalized to USD per million tokens with a derived blended_5_to_1 mix. Capability flags (tools, vision, structured_outputs, reasoning) extracted from supported_parameters plus modality. Pass the model id (URL-encoded if it contains a slash) as the URL path segment.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "OpenRouter model card: Claude Opus 4.7",
        "description": "One model from the daily 367-entry OpenRouter catalog as an LLM-ready fact card. Pricing normalized to USD per million tokens with a derived blended_5_to_1 mix. Capability flags (tools, vision, structured_outputs, reasoning) extracted from supported_parameters plus modality. Pass the model id (URL-encoded if it contains a slash) as the URL path segment.",
        "tier": 1,
        "credits": 1,
        "category": "ai-openrouter-model-card"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "model_id": "anthropic/claude-haiku-4.5"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "source_format": "openrouter_models_v1",
                "target_format": "tensorfeed_llm_ready_v1",
                "model_id": "anthropic/claude-haiku-4.5",
                "provider": "anthropic",
                "input_usd_per_million": 1,
                "output_usd_per_million": 5,
                "blended_5_to_1": 1.67,
                "context_length": 200000,
                "capabilities": {
                  "tools": true,
                  "vision": true,
                  "structured_outputs": true,
                  "reasoning": false
                },
                "modality": [
                  "text",
                  "image"
                ],
                "attribution": {
                  "source": "OpenRouter model catalog",
                  "license": "OpenRouter Terms of Service"
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "model_id": {
                        "type": "string",
                        "description": "OpenRouter model id, URL-encoded. Format: provider/model-slug."
                      }
                    },
                    "required": [
                      "model_id"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/clean/openrouter/:model_id"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/clean/openrouter/anthropic%2Fclaude-haiku-4.5",
        "description": "One model from the daily 367-entry OpenRouter catalog as an LLM-ready fact card. Pricing normalized to USD per million tokens with a derived blended_5_to_1 mix. Capability flags (tools, vision, structured_outputs, reasoning) extracted from supported_parameters plus modality. Pass the model id (URL-encoded if it contains a slash) as the URL path segment.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
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            "version": "2"
          }
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      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "OpenRouter model card: Claude Haiku 4.5",
        "description": "One model from the daily 367-entry OpenRouter catalog as an LLM-ready fact card. Pricing normalized to USD per million tokens with a derived blended_5_to_1 mix. Capability flags (tools, vision, structured_outputs, reasoning) extracted from supported_parameters plus modality. Pass the model id (URL-encoded if it contains a slash) as the URL path segment.",
        "tier": 1,
        "credits": 1,
        "category": "ai-openrouter-model-card"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "model_id": "anthropic/claude-haiku-4.5"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "source_format": "openrouter_models_v1",
                "target_format": "tensorfeed_llm_ready_v1",
                "model_id": "anthropic/claude-haiku-4.5",
                "provider": "anthropic",
                "input_usd_per_million": 1,
                "output_usd_per_million": 5,
                "blended_5_to_1": 1.67,
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                "capabilities": {
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                  "vision": true,
                  "structured_outputs": true,
                  "reasoning": false
                },
                "modality": [
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                  "image"
                ],
                "attribution": {
                  "source": "OpenRouter model catalog",
                  "license": "OpenRouter Terms of Service"
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
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                    "enum": [
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                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "model_id": {
                        "type": "string",
                        "description": "OpenRouter model id, URL-encoded. Format: provider/model-slug."
                      }
                    },
                    "required": [
                      "model_id"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/clean/openrouter/:model_id"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/clean/openrouter/openai%2Fgpt-5-5",
        "description": "One model from the daily 367-entry OpenRouter catalog as an LLM-ready fact card. Pricing normalized to USD per million tokens with a derived blended_5_to_1 mix. Capability flags (tools, vision, structured_outputs, reasoning) extracted from supported_parameters plus modality. Pass the model id (URL-encoded if it contains a slash) as the URL path segment.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "OpenRouter model card: GPT-5.5",
        "description": "One model from the daily 367-entry OpenRouter catalog as an LLM-ready fact card. Pricing normalized to USD per million tokens with a derived blended_5_to_1 mix. Capability flags (tools, vision, structured_outputs, reasoning) extracted from supported_parameters plus modality. Pass the model id (URL-encoded if it contains a slash) as the URL path segment.",
        "tier": 1,
        "credits": 1,
        "category": "ai-openrouter-model-card"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "model_id": "anthropic/claude-haiku-4.5"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "source_format": "openrouter_models_v1",
                "target_format": "tensorfeed_llm_ready_v1",
                "model_id": "anthropic/claude-haiku-4.5",
                "provider": "anthropic",
                "input_usd_per_million": 1,
                "output_usd_per_million": 5,
                "blended_5_to_1": 1.67,
                "context_length": 200000,
                "capabilities": {
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                  "vision": true,
                  "structured_outputs": true,
                  "reasoning": false
                },
                "modality": [
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                  "image"
                ],
                "attribution": {
                  "source": "OpenRouter model catalog",
                  "license": "OpenRouter Terms of Service"
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
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                    "enum": [
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                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "model_id": {
                        "type": "string",
                        "description": "OpenRouter model id, URL-encoded. Format: provider/model-slug."
                      }
                    },
                    "required": [
                      "model_id"
                    ]
                  }
                },
                "required": [
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                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
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                  }
                },
                "required": [
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                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/clean/openrouter/:model_id"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/clean/openrouter/openai%2Fgpt-5-5-mini",
        "description": "One model from the daily 367-entry OpenRouter catalog as an LLM-ready fact card. Pricing normalized to USD per million tokens with a derived blended_5_to_1 mix. Capability flags (tools, vision, structured_outputs, reasoning) extracted from supported_parameters plus modality. Pass the model id (URL-encoded if it contains a slash) as the URL path segment.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
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          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-25T00:00:00Z",
      "metadata": {
        "name": "OpenRouter model card: GPT-5.5 Mini",
        "description": "One model from the daily 367-entry OpenRouter catalog as an LLM-ready fact card. Pricing normalized to USD per million tokens with a derived blended_5_to_1 mix. Capability flags (tools, vision, structured_outputs, reasoning) extracted from supported_parameters plus modality. Pass the model id (URL-encoded if it contains a slash) as the URL path segment.",
        "tier": 1,
        "credits": 1,
        "category": "ai-openrouter-model-card"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "model_id": "anthropic/claude-haiku-4.5"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "source_format": "openrouter_models_v1",
                "target_format": "tensorfeed_llm_ready_v1",
                "model_id": "anthropic/claude-haiku-4.5",
                "provider": "anthropic",
                "input_usd_per_million": 1,
                "output_usd_per_million": 5,
                "blended_5_to_1": 1.67,
                "context_length": 200000,
                "capabilities": {
                  "tools": true,
                  "vision": true,
                  "structured_outputs": true,
                  "reasoning": false
                },
                "modality": [
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                  "image"
                ],
                "attribution": {
                  "source": "OpenRouter model catalog",
                  "license": "OpenRouter Terms of Service"
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "model_id": {
                        "type": "string",
                        "description": "OpenRouter model id, URL-encoded. Format: provider/model-slug."
                      }
                    },
                    "required": [
                      "model_id"
                    ]
                  }
                },
                "required": [
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                  "method"
                ],
                "additionalProperties": false
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      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-27T00:00:00Z",
      "metadata": {
        "name": "AI Companies: per-ticker intelligence envelope",
        "description": "Per-ticker AI intelligence envelope for the 14 AI bellwethers. One paid call returns latest 10 SEC filings, 10 alias-filtered news mentions, funding rounds where the company is a lead or notable investor, and cohort metadata. Shipped the same day Robinhood Agentic Trading + Agentic Credit Card launched.",
        "tier": 1,
        "credits": 1,
        "category": "ai-public-equity-intelligence"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "ticker": "NVDA"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "capturedAt": "2026-05-27T18:00:00Z",
                "ticker": "NVDA",
                "cohort_size": 14,
                "company": {
                  "ticker": "NVDA",
                  "cik": "0001045810",
                  "display_name": "NVIDIA",
                  "category": "silicon",
                  "ai_angle": "The dominant supplier of AI training and inference GPUs.",
                  "exchange": "NASDAQ"
                },
                "filings": {
                  "count": 10,
                  "source": "data.sec.gov/submissions",
                  "license": "Public domain (17 USC 105). SEC EDGAR."
                },
                "news": {
                  "count": 4,
                  "aliases_used": [
                    "NVIDIA",
                    "Nvidia"
                  ],
                  "sanitization": "enabled"
                },
                "funding_as_investor": {
                  "count": 0,
                  "description": "Strategic and equity rounds where this company is listed as a lead or notable investor in TensorFeed funding registry."
                },
                "attribution": {
                  "sources": [
                    "SEC EDGAR (data.sec.gov/submissions). Public domain (17 USC 105).",
                    "TensorFeed.ai news aggregator (sanitized for agents).",
                    "TensorFeed.ai funding registry (editorial)."
                  ]
                }
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "ticker": {
                        "type": "string",
                        "description": "AI bellwether ticker (NVDA, AMD, AVGO, TSM, ARM, MSFT, GOOGL, AMZN, ORCL, PLTR, SMCI, AAPL, META, TSLA). Case-insensitive."
                      }
                    },
                    "required": [
                      "ticker"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/ai-companies/:ticker"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/x402-index/publisher/{domain}",
        "description": "Per-publisher receipt feed for one x402-compliant domain across an inclusive from/to date range. Returns publisher meta (domain, pay_to_wallets, first_seen), window rollup (volume_usdc, count, avg_amount, daily_series of per-day rows), attribution, and CC BY 4.0 license. Forensic and compliance lane for callers building dashboards over x402 settlement data on Base mainnet.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-27T00:00:00Z",
      "metadata": {
        "name": "x402 Index: per-publisher receipt feed",
        "description": "Per-publisher x402 USDC settlement receipt feed on Base mainnet. One paid call returns publisher meta, the windowed rollup (volume_usdc, count, avg_amount), and a per-day daily_series across the inclusive from/to range. Built for forensic and compliance dashboards over x402 settlement data.",
        "tier": 1,
        "credits": 1,
        "category": "ai-x402-index-publisher"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "pathParams": {
                "domain": "tensorfeed.ai"
              },
              "queryParams": {
                "from": "2026-05-21",
                "to": "2026-05-27"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "publisher": {
                  "domain": "tensorfeed.ai",
                  "pay_to_wallets": [
                    "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1"
                  ],
                  "first_seen": "2026-05-28T00:00:00Z"
                },
                "window": {
                  "from": "2026-05-21",
                  "to": "2026-05-27",
                  "days": 7
                },
                "rollup": {
                  "volume_usdc": "287.420000",
                  "count": 1342,
                  "avg_amount": "0.214172",
                  "daily_series": [
                    {
                      "date": "2026-05-21",
                      "volume_usdc": "32.180000",
                      "count": 156
                    }
                  ]
                },
                "attribution": "TensorFeed x402 settlement index over public Base mainnet on-chain data",
                "license": "CC BY 4.0"
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "pathParams": {
                    "type": "object",
                    "properties": {
                      "domain": {
                        "type": "string",
                        "description": "x402-compliant publisher domain present in the TensorFeed publisher registry. See /api/x402-index/publishers for the indexed set."
                      }
                    },
                    "required": [
                      "domain"
                    ]
                  },
                  "queryParams": {
                    "type": "object",
                    "properties": {
                      "from": {
                        "type": "string",
                        "description": "Range start, YYYY-MM-DD. Required."
                      },
                      "to": {
                        "type": "string",
                        "description": "Range end, YYYY-MM-DD inclusive. Required."
                      }
                    },
                    "required": [
                      "from",
                      "to"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/x402-index/publisher/:domain"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/x402-index/series",
        "description": "Time-series of ecosystem-level or per-publisher x402 USDC settlement volume or count across a from/to date range. Required: metric (volume|count), granularity (day|hour), from, to (YYYY-MM-DD). Optional domain filter (omit for ecosystem). MVP supports granularity=day; granularity=hour returns an empty series with an attribution note.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-27T00:00:00Z",
      "metadata": {
        "name": "x402 Index: time-series",
        "description": "Time-series of x402 USDC settlement volume or count across a date range, ecosystem-level or filtered to one publisher. Chart-feeding shape. metric=volume|count, granularity=day|hour, from + to in YYYY-MM-DD. domain optional. MVP day-granularity.",
        "tier": 1,
        "credits": 1,
        "category": "ai-x402-index-series"
      },
      "extensions": {
        "bazaar": {
          "info": {
            "input": {
              "type": "http",
              "method": "GET",
              "queryParams": {
                "metric": "volume",
                "granularity": "day",
                "from": "2026-05-23",
                "to": "2026-05-27"
              }
            },
            "output": {
              "type": "json",
              "example": {
                "ok": true,
                "metric": "volume",
                "granularity": "day",
                "window": {
                  "from": "2026-05-23",
                  "to": "2026-05-27"
                },
                "series": [
                  {
                    "ts": "2026-05-23",
                    "value": "38.940000"
                  },
                  {
                    "ts": "2026-05-24",
                    "value": "52.180000"
                  },
                  {
                    "ts": "2026-05-25",
                    "value": "47.620000"
                  },
                  {
                    "ts": "2026-05-26",
                    "value": "58.860000"
                  },
                  {
                    "ts": "2026-05-27",
                    "value": "54.380000"
                  }
                ],
                "attribution": "TensorFeed x402 settlement index over public Base mainnet on-chain data"
              }
            }
          },
          "schema": {
            "$schema": "https://json-schema.org/draft/2020-12/schema",
            "type": "object",
            "properties": {
              "input": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string",
                    "const": "http"
                  },
                  "method": {
                    "type": "string",
                    "enum": [
                      "GET"
                    ]
                  },
                  "queryParams": {
                    "type": "object",
                    "properties": {
                      "metric": {
                        "type": "string",
                        "enum": [
                          "volume",
                          "count"
                        ],
                        "description": "What to plot: volume (USDC decimal string) or count (integer event count)."
                      },
                      "granularity": {
                        "type": "string",
                        "enum": [
                          "day",
                          "hour"
                        ],
                        "description": "Series bucket size. MVP supports day; hour returns an empty series with an attribution note."
                      },
                      "from": {
                        "type": "string",
                        "description": "Range start, YYYY-MM-DD. Required."
                      },
                      "to": {
                        "type": "string",
                        "description": "Range end, YYYY-MM-DD inclusive. Required."
                      },
                      "domain": {
                        "type": "string",
                        "description": "Optional. Restrict the series to one x402-compliant publisher domain. Omit for ecosystem-level."
                      }
                    },
                    "required": [
                      "metric",
                      "granularity",
                      "from",
                      "to"
                    ]
                  }
                },
                "required": [
                  "type",
                  "method"
                ],
                "additionalProperties": false
              },
              "output": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "example": {
                    "type": "object"
                  }
                },
                "required": [
                  "type"
                ]
              }
            },
            "required": [
              "input"
            ]
          },
          "routeTemplate": "/api/premium/x402-index/series"
        }
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/route-verdict",
        "description": "The signed model-routing decision. For ?task=code|reasoning|creative|general or ?model=<id-or-name>, returns the single best model to use right now, fusing pricing, contamination-discounted benchmark capability, real production usage, measured p95 latency probes, and live incident-triage operational state, plus runners-up and an AFTA-signed receipt over the inputs. 30-minute operational freshness SLA, no-charge when the live layer is stale.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-28T00:00:00Z",
      "metadata": {
        "name": "Route Verdict",
        "description": "The signed model-routing decision: the single best model to use right now, fusing pricing, contamination-discounted capability, real usage, measured p95 latency, and live incident state, plus runners-up and an AFTA-signed receipt. A free top-verdict-only taste lives at /api/preview/route-verdict.",
        "tier": 2,
        "credits": 1,
        "category": "ai-model-routing"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/provider-reliability-verdict",
        "description": "Which frontier AI provider is the most dependable to build on right now, and which is the riskiest? Ranks the providers TensorFeed actively probes by measured operational reliability, fusing availability and tail consistency (p50 over p95) from its own latency probes into one dependability score, names the most dependable and the riskiest, and returns the full per-provider ranking with an AFTA-signed receipt. 30-minute freshness SLA, no-charge when stale.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-29T00:00:00Z",
      "metadata": {
        "name": "Provider Reliability Verdict",
        "description": "Ranks the frontier providers TensorFeed probes by measured operational reliability (availability plus tail consistency, p50 over p95), names the most dependable and the riskiest, and ships the full per-provider ranking with an AFTA-signed receipt. A free picks-only taste lives at /api/preview/provider-reliability-verdict.",
        "tier": 1,
        "credits": 1,
        "category": "ai-provider-reliability"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/x402-settlement-verdict",
        "description": "Is the Base x402 USDC settlement market growing, is it concentrated or a real market, and who leads? Rules over TensorFeed's own on-chain settlement index: momentum versus the prior window of equal length, concentration by the Herfindahl index, and the leading publisher, plus the full per-publisher volume ranking. Optional window=24h|7d|30d (default 7d). Coverage is the Base settlements TensorFeed indexes, forward-only from launch. 10-minute freshness SLA, no-charge when stale.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-29T00:00:00Z",
      "metadata": {
        "name": "x402 Settlement Verdict",
        "description": "Rules on the Base x402 USDC settlement market over TensorFeed's own on-chain settlement index: momentum versus the prior window, concentration by the Herfindahl index, and the leading publisher, plus the full per-publisher ranking. Coverage is the Base settlements TensorFeed indexes, forward-only from launch. A free classifications-only taste lives at /api/preview/x402-settlement-verdict.",
        "tier": 1,
        "credits": 1,
        "category": "ai-x402-settlement"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/stack-safety-verdict",
        "description": "GO / HOLD / BLOCK deploy gate for your AI stack, fusing the ingested AI-CVE batch with CISA KEV. Pass packages=name@version (up to 10).",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-28T00:00:00Z",
      "metadata": {
        "name": "Stack Safety Verdict",
        "description": "A GO / HOLD / BLOCK deploy gate for your AI stack, fusing the ingested AI-CVE batch (GHSA plus vendor advisories) with the CISA KEV catalog. Pass packages=name@version (up to 10). Never-false-confirm: BLOCK only on exploited with no fix, HOLD when the version must be verified, PASS on no match, UNKNOWN outside the cohort. A free gate-only preview lives at /api/preview/stack-safety-verdict.",
        "tier": 1,
        "credits": 1,
        "category": "ai-stack-security"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/benchmark-trust-verdict",
        "description": "Is an AI benchmark a trustworthy capability signal, or saturated/contaminated/near-ceiling so a high score should be down-weighted? Trust band + 0-100 score per benchmark.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-28T00:00:00Z",
      "metadata": {
        "name": "Benchmark Trust Verdict",
        "description": "Trust band + 0-100 score per AI benchmark, fusing contamination and saturation flags with live frontier compression. A free band-only preview lives at /api/preview/benchmark-trust-verdict.",
        "tier": 1,
        "credits": 1,
        "category": "ai-benchmark-trust"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/failover-verdict",
        "description": "Provider A is degraded, which operational provider do I fail over to for this task right now? Confirms A against live incident triage, then recommends the best operational alternative. Pass ?from=<provider>.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-28T00:00:00Z",
      "metadata": {
        "name": "Failover Verdict",
        "description": "Best operational failover target when a provider degrades: confirms the incident, then recommends the alternative by the capability-first route verdict. Free destination-only preview at /api/preview/failover-verdict.",
        "tier": 1,
        "credits": 1,
        "category": "ai-failover-routing"
      }
    },
    {
      "resource": {
        "url": "https://tensorfeed.ai/api/premium/sec/filings/guidance-delta",
        "description": "Did this periodic SEC filing (10-K or 10-Q) materially change guidance, segment outlook, or risk language versus the prior same-form filing, with the exact changed sentences quoted? Pass ?ticker=NVDA&form=10-Q or ?accession=.",
        "mimeType": "application/json"
      },
      "type": "http",
      "method": "GET",
      "x402Version": 2,
      "accepts": [
        {
          "scheme": "exact",
          "network": "eip155:8453",
          "amount": "20000",
          "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
          "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
          "maxTimeoutSeconds": 60,
          "extra": {
            "name": "USD Coin",
            "version": "2"
          }
        }
      ],
      "lastUpdated": "2026-05-28T00:00:00Z",
      "metadata": {
        "name": "Guidance Delta",
        "description": "Signed periodic-filing guidance diff: what materially changed in a 10-K or 10-Q versus the prior same-form filing, with verbatim quotes. Free summary-only preview at /api/preview/sec/filings/guidance-delta.",
        "tier": 1,
        "credits": 1,
        "category": "sec-filings-intelligence"
      }
    }
  ],
  "freeEndpoints": [
    {
      "resource": "https://tensorfeed.ai/api/news",
      "description": "Latest AI news articles aggregated from 15+ sources. Free, no auth."
    },
    {
      "resource": "https://tensorfeed.ai/api/status",
      "description": "Real-time AI service status (Claude, OpenAI, Gemini, Mistral, Cohere, Replicate, Hugging Face). Free, no auth."
    },
    {
      "resource": "https://tensorfeed.ai/api/models",
      "description": "AI model pricing, context windows, capabilities. Free, no auth."
    },
    {
      "resource": "https://tensorfeed.ai/api/benchmarks",
      "description": "AI model benchmark scores. Free, no auth."
    },
    {
      "resource": "https://tensorfeed.ai/api/history",
      "description": "Daily historical snapshots of pricing, models, benchmarks, status, and agent activity. Free, no auth. Single-day raw payload; aggregated views are premium.",
      "perDate": "https://tensorfeed.ai/api/history/{YYYY-MM-DD}/{type}"
    },
    {
      "resource": "https://tensorfeed.ai/api/preview/routing",
      "description": "Free top-1 routing recommendation. Rate-limited to 5 calls per UTC day per IP. Premium /api/premium/routing has no rate limit and returns top-N with full breakdown."
    },
    {
      "resource": "https://tensorfeed.ai/api/free-tier/status",
      "description": "Self-service quota check for the free premium-trial allowance. No auth required. Returns caller IP's used/remaining/resets_at for the 24h rolling 100-call window. Lets agents budget without burning a quota slot."
    },
    {
      "resource": "https://tensorfeed.ai/api/agents/activity",
      "description": "Real-time AI agent traffic metrics on tensorfeed.ai. Free, no auth."
    },
    {
      "resource": "https://tensorfeed.ai/api/gpu/pricing",
      "description": "Aggregated GPU rental pricing across cloud GPU marketplaces (Vast.ai + RunPod). Cheapest on-demand and spot per canonical GPU. Refreshed every 4 hours. Free, no auth."
    },
    {
      "resource": "https://tensorfeed.ai/api/gpu/pricing/cheapest",
      "description": "Top 3 cheapest current GPU offers for one canonical GPU class. Params: ?gpu=H100&type=on_demand|spot. Agent-friendly entry point. Free, no auth."
    }
  ],
  "sdks": [
    {
      "language": "python",
      "package": "tensorfeed",
      "registry": "pypi",
      "install": "pip install tensorfeed",
      "withWeb3": "pip install 'tensorfeed[web3]'",
      "url": "https://pypi.org/project/tensorfeed/"
    },
    {
      "language": "typescript",
      "package": "tensorfeed",
      "registry": "npm",
      "install": "npm install tensorfeed",
      "url": "https://www.npmjs.com/package/tensorfeed"
    },
    {
      "language": "mcp",
      "package": "@tensorfeed/mcp-server",
      "registry": "npm",
      "install": "npx -y @tensorfeed/mcp-server",
      "envVar": "TENSORFEED_TOKEN",
      "url": "https://www.npmjs.com/package/@tensorfeed/mcp-server",
      "manifest": "https://github.com/RipperMercs/tensorfeed/blob/main/mcp-server/server.json"
    }
  ],
  "lastUpdated": "2026-05-25T00:00:00Z"
}
