LIVE
ANTHROPICOpus 4.7 benchmarks published2m ago
CLAUDEOK142ms
OPUS 4.7$15 / $75per Mtok
CHATGPTOK89ms
HACKERNEWSWhy has not AI improved design quality the way it improved dev speed?14m ago
MMLU-PROleader Opus 4.788.4
GEMINIDEGRADED312ms
MISTRALMistral Medium 3 released6m ago
GPT-4o$5 / $15per Mtok
ARXIVCompositional reasoning in LRMs22m ago
BEDROCKOK178ms
GEMINI 2.5$3.50 / $10.50per Mtok
THE VERGEFrontier Model Forum expansion announced38m ago
SWE-BENCHleader Claude Opus 4.772.1%
MISTRALOK104ms
ANTHROPICOpus 4.7 benchmarks published2m ago
CLAUDEOK142ms
OPUS 4.7$15 / $75per Mtok
CHATGPTOK89ms
HACKERNEWSWhy has not AI improved design quality the way it improved dev speed?14m ago
MMLU-PROleader Opus 4.788.4
GEMINIDEGRADED312ms
MISTRALMistral Medium 3 released6m ago
GPT-4o$5 / $15per Mtok
ARXIVCompositional reasoning in LRMs22m ago
BEDROCKOK178ms
GEMINI 2.5$3.50 / $10.50per Mtok
THE VERGEFrontier Model Forum expansion announced38m ago
SWE-BENCHleader Claude Opus 4.772.1%
MISTRALOK104ms

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

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: [email protected]. TensorFeed.ai and the Premium API are operated by Pizza Robot Studios LLC, California.