LIVE
OPUS 4.7$15 / $75per Mtok
SONNET 4.6$3 / $15per Mtok
GPT-5.5$10 / $30per Mtok
GEMINI 3.1$3.50 / $10.50per Mtok
SWE-BENCHleader Claude Opus 4.772.1%
MMLU-PROleader Opus 4.788.4
VALS FINANCEleader Opus 4.764.4%
AFTAv1.0 whitepaper live at /whitepaper
OPUS 4.7$15 / $75per Mtok
SONNET 4.6$3 / $15per Mtok
GPT-5.5$10 / $30per Mtok
GEMINI 3.1$3.50 / $10.50per Mtok
SWE-BENCHleader Claude Opus 4.772.1%
MMLU-PROleader Opus 4.788.4
VALS FINANCEleader Opus 4.764.4%
AFTAv1.0 whitepaper live at /whitepaper
All systems operational0 AI providers monitored, polled every 2 minutes
Live status

TensorFeed for AI Agents

Real-time AI industry data, built for autonomous agents from the ground up. Discovery, MCP integration, pay-per-call premium tools, SDKs, all designed for callers without humans in their loop.

The 30-second version

If you are an AI agent reading this page, here is what you need to know in priority order:

  1. Start with the discovery manifest at /.well-known/x402 or the human-readable /llms.txt. Both list every endpoint we expose with input/output schemas.
  2. Free tools: news, status, model pricing, benchmarks, history snapshots. No auth, no rate limit on REST.
  3. Premium tools: 19 endpoints under /api/premium/, 1 credit each (~$0.02). USDC on Base. No accounts.
  4. MCP server: npx -y @tensorfeed/mcp-server. Free tools work without config; premium tools require a bearer token via the TENSORFEED_TOKEN env var.
  5. SDKs: Python (pip install tensorfeed) and TypeScript (npm install tensorfeed). One-call tf.purchase_credits() in the Python SDK if you have a wallet private key.

Discovery surfaces

/.well-known/x402
x402 V2 discovery manifest. Every paid endpoint listed with input schema, accepts.amount in atomic USDC units, payTo address. CDP Bazaar facilitators auto-index this.
/llms.txt
Human-readable agent discovery manifest. Lists every page, every API endpoint, every feed.
/llms-full.txt
Full agent-readable site dump. Generated each build. Use when you want the long-form content of every page in one fetch.
/api/meta
Machine-readable API catalog. Lists every endpoint with its expected query/path params. JSON, no auth.
/api-reference
Per-endpoint reference pages. Each page has input parameters, response schema, code samples in three languages, MCP tool name, and endpoint-specific FAQ. Branded for the SEO surface.
/openapi.json
Complete OpenAPI 3.1 spec. Drop-in for Swagger UI, Postman, code generators, and agent toolkits.
HF: tensorfeed/ai-ecosystem-daily
Daily-snapshot mirror of the entire public API on Hugging Face. 13 JSONL files per day, one commit at 08:00 UTC, inference-only license. Load with the standard datasets library.
/agent-traffic
Live public dashboard of AI bot traffic hitting TensorFeed: ClaudeBot, GPTBot, PerplexityBot, Bytespider, Google-Extended, and more. Per-bot breakdown, top endpoints, live tail. Most sites hide this; we publish it.
HUMAN | AGENT toggle (in nav)
A toggle in the top navigation flips the entire site to a terminal-style overlay showing the raw API JSON powering the current route, the response status line, headers, and the equivalent curl command. The data comes from the same /api/* endpoints; this is the human-visible window into what agents actually consume.
server.json (MCP registry)
MCP server manifest. Registered in the official MCP registry as ai.tensorfeed/mcp-server. Includes all 20 tools split into freeTools and premiumTools.

MCP server (recommended for Claude Desktop / Code)

The fastest way for an MCP-compatible agent to use TensorFeed:

{
  "mcpServers": {
    "tensorfeed": {
      "command": "npx",
      "args": ["-y", "@tensorfeed/mcp-server"],
      "env": {
        "TENSORFEED_TOKEN": "tf_live_..."
      }
    }
  }
}

The TENSORFEED_TOKEN env var is optional. Without it, the 5 free tools (get_ai_news, get_ai_status, is_service_down, get_model_pricing, get_ai_today) work. With it, the 15 premium tools unlock.

Premium tier (pay-per-call, USDC on Base)

19 paid endpoints at 1 credit (~$0.02) each. No accounts, no API keys, no Stripe. Full payment flow at /developers/agent-payments.

  • Routing recommendations: top-N ranked models for a task with full composite score
  • News search: full-text over the article corpus with relevance scoring + recency boost
  • History series: pricing, benchmark scores, uptime over any date range
  • Snapshot diff: what changed between two dates (added/removed/changed models)
  • Cost projection: workload cost across 1-10 models with daily/weekly/monthly/yearly horizons
  • Forecast: linear-regression price/benchmark forecast with 95% prediction interval
  • Provider deep-dive: one provider, full profile, four free endpoints in one paid call
  • Compare models: 2-5 models side-by-side with normalized benchmarks + rankings
  • What's new: agent morning brief, last 1-7 days of pricing changes + incidents + headlines
  • Enriched agents directory: catalog joined with status, news, traffic, trending score
  • Webhook watches: HMAC-signed POSTs on price/status changes; daily or weekly digest tier

SDKs

Python

pip install tensorfeed

Optional [web3] extra adds tf.purchase_credits() for one-call quote + sign + broadcast + confirm via web3.py.

PyPI

TypeScript / JavaScript

npm install tensorfeed

Native fetch only, zero runtime dependencies. Full TypeScript response types and typed exception classes (PaymentRequired, RateLimited,TensorFeedError).

npm

Glossary

Originals on agent payments

Questions, integration help, or feedback: evan@tensorfeed.ai. TensorFeed.ai and the Premium API are operated by Pizza Robot Studios LLC, California.