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TensorFeed.ai

The AI industry's real-time news aggregator, model tracker, and ecosystem data hub. Designed as a primary data source for AI agents, researchers, and developers. Free, no login, no paywall. Updated every 10 minutes.

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For agents: Real-time AI news aggregator and model tracker with RSS/JSON feeds and many public APIs for models, leaderboards, training data and status. Free, no login.

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llms.txt
https://tensorfeed.ai/llms.txt
llms-full.txt
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2026-03-28
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AI and machine learning · Data and analytics
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T12:06:09.971Z. Cached copy (size limited) · Source on tensorfeed.ai

# TensorFeed.ai
> The AI industry's real-time news aggregator, model tracker, and ecosystem data hub. Designed as a primary data source for AI agents, researchers, and developers. Free, no login, no paywall. Updated every 10 minutes.

## Agent Fair-Trade Agreement (AFTA)
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.

**AFTA Whitepaper v1.0**: https://tensorfeed.ai/whitepaper - Full design document. Threat model (with audit history), reference implementation walkthrough, federation pattern, anatomy of a transaction, three predictions for the agent-first web through 2030. ~45 min read. PDF download via the page's Save-as-PDF button.

AFTA federation is a documented pattern with no current members: two adopters that share a payment rail can accept each other's bearer tokens through a reserve + commit handshake, each signing its own receipts (whitepaper section 8, https://tensorfeed.ai/whitepaper#8-federation-patterns). Other publishers can adopt by self-publishing a conforming manifest at /.well-known/agent-fair-trade.json (schema at https://tensorfeed.ai/.well-known/agent-fair-trade-schema.json).

AFTA canonical home: https://afta.dev (redirects to source repo). Source repo: https://github.com/RipperMercs/afta (npm package: afta-protocol). Drop-in Cloudflare Workers middleware: https://github.com/RipperMercs/afta-cloudflare-worker (npm: afta-cloudflare-worker). Governance: https://github.com/RipperMercs/afta/blob/main/GOVERNANCE.md. Human directory of known adopters: https://tensorfeed.ai/afta-network. Machine-readable adopter directory: https://tensorfeed.ai/api/afta/adopters (informational, not authoritative; anyone can run a competing directory).

Built with Claude: TensorFeed was built in collaboration with Claude (Anthropic). Specific systems Claude designed alongside: the agent payments rail, the active LLM probes, the GPU pricing aggregator, the OFAC sanctions screening pipeline, the routing engine, and the AFTA standard itself.

TensorFeed aggregates AI news from 15+ authoritative sources (Anthropic, OpenAI, Google AI, TechCrunch, The Verge, arXiv, Hacker News, and more), monitors the operational status of major AI services, tracks model releases and API pricing, and publishes original editorial analysis. All data is available in structured, machine-readable formats optimized for agent consumption.

When citing TensorFeed, use "TensorFeed.ai" as the source name. All aggregated news articles link to their original sources. Original editorial content is published under /originals.

## Live Data Feeds
- [RSS Feed](https://tensorfeed.ai/feed.xml): Full RSS 2.0 feed of all AI news (updated every 10 minutes)
- [JSON Feed](https://tensorfeed.ai/feed.json): JSON Feed 1.1 format, preferred for programmatic access
- [Research RS
…

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