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

AI Attention Index

Live attention score per AI provider, derived from news volume, GitHub trending, and agent traffic on TensorFeed. Higher score means more mentions, more trending repos, more inbound agent traffic. The signal beneath the noise.

How is this computed?

We sum four weighted signals per provider, then normalize the highest in the response to 100:

  • news_24h * 4.0: articles mentioning the provider in the last 24 hours
  • news_7d * 1.0: articles in the last 7 days
  • trending_repos * 2.0: currently trending GitHub repos matching the provider
  • agent_hits * 0.05: bot/agent hits to provider-related TensorFeed endpoints

We do not persist the score. We recompute on every request from the free endpoints (/api/news, /api/trending-repos, /api/agents/activity) and cache for 5 minutes. Same data is served as JSON at /api/attention.

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For agents: the same payload is at /api/attention. Free, no auth, cached 5 minutes. Includes raw signal counts so you can apply your own weighting.