TensorFeed.ai

Real-time AI industry intelligence for humans and AI agents. News from 15+ sources, live service status for every major LLM provider, model pricing and benchmark history, an AI agents directory, and a pay-per-call premium API settled in USDC on Base mainnet (no accounts, no API keys).

Site: https://tensorfeed.ai

What this repo contains

• Web dashboard (src/): Next.js 14 App Router, static export, deployed to Cloudflare Pages

• API backend (worker/): Cloudflare Worker tensorfeed-api, attached to tensorfeed.ai/api/*. Cron-driven RSS polling, status scraping, model catalog updates, daily history snapshots, daily MCP server registry telemetry

• MCP server (mcp-server/): Model Context Protocol server published as @tensorfeed/mcp-server on npm. Exposes 19 tools (6 free, 13 paid) for use in Claude Desktop, Claude Code, Cursor, Cline, and any other MCP client. See mcp-server/README.md for the full tool list and setup

• Python SDK (sdk/python/): pip install tensorfeed. Full coverage of free + premium endpoints, optional [web3] extra for one-call USDC sign-and-send

• JavaScript SDK (sdk/javascript/): npm install tensorfeed. Same surface as the Python client

Related MCP server: TensorFeed MCP Server

MCP server quick start

The TensorFeed MCP server is the fastest way to plug an AI agent into the TensorFeed API.

npx -y @tensorfeed/mcp-server

Or in your Claude Desktop / Claude Code config:

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

Free tools work without auth. To enable the 13 paid tools (routing recommendations, news search, history series, cost projection, provider deep-dive, model comparison, MCP registry series, webhook watches, and more), add a TENSORFEED_TOKEN env var. Buy credits at tensorfeed.ai/developers/agent-payments using USDC on Base. New wallets get a 50-credit welcome bonus on first payment.

Listed in the official MCP server registry as ai.tensorfeed/mcp-server. See mcp-server/README.md for the full tool catalog, example agent queries, and pricing.

API

All endpoints live at https://tensorfeed.ai/api/*.

Free, no auth:

• /api/news, /api/status, /api/models, /api/benchmarks, /api/incidents

• /api/agents/activity, /api/agents/news, /api/agents/status, /api/agents/pricing, /api/agents/directory

• /api/podcasts, /api/trending-repos

• /api/history, /api/history/{YYYY-MM-DD}/{type} (daily snapshots)

• /api/mcp/registry/snapshot (daily telemetry of the official MCP server registry)

• /api/health, /api/ping, /api/meta, /api/cron-status

Paid (1 credit each, USDC on Base):

• /api/premium/routing, /api/premium/news/search, /api/premium/cost/projection

• /api/premium/history/pricing/series, /api/premium/history/benchmarks/series, /api/premium/history/status/uptime

• /api/premium/agents/directory, /api/premium/providers/{name}, /api/premium/compare/models

• /api/premium/whats-new (agent morning brief), /api/premium/mcp/registry/series

• /api/premium/watches (webhook watches with daily/weekly digest tier)

Full documentation: tensorfeed.ai/developers and tensorfeed.ai/developers/agent-payments. Machine-readable: /llms.txt, /openapi.json, /.well-known/x402.json.

Discovery surfaces for AI agents

• Official MCP server registry: ai.tensorfeed/mcp-server

• llms.txt: https://tensorfeed.ai/llms.txt

• OpenAPI 3.1 spec: https://tensorfeed.ai/openapi.json

• x402 V2 manifest: https://tensorfeed.ai/.well-known/x402.json

• Agent-first landing: https://tensorfeed.ai/for-ai-agents

• View as Agent toggle: every page on the site exposes the underlying API JSON via a navbar toggle, so agents can introspect what powers any view

Stack

Next.js 14 (static export), Cloudflare Pages + Workers + KV, Tailwind CSS, JetBrains Mono + Inter, Resend for email alerts, Cloudflare Web Analytics. The MCP server is plain TypeScript on top of the official @modelcontextprotocol/sdk.

Development

npm install
npm run dev      # Next.js dev server at localhost:3000
npm run build    # Static export
npm run lint

Worker:

cd worker
npm install
npm test         # 214 vitest cases, all green
wrangler deploy

MCP server:

cd mcp-server
npm install
npm run build
npm start

License

MIT. See LICENSE.

Contact

• support@tensorfeed.ai

• press@tensorfeed.ai

• feedback@tensorfeed.ai

A Pizza Robot Studios project.