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Is TensorFeed reliable?

Being measured Measurement in progress: 2 check(s) so far. A verdict needs at least 3 checks.

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

AI news, model pricing, service status, and machine-payable premium tools. AFTA-certified.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 2.0.1 · publisher website
Connect your agent
{
  "mcpServers": {
    "mcp-server": {
      "url": "https://mcp.tensorfeed.ai/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"ai.tensorfeed/mcp-server"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements
WhenAnswersReal taskLatency
2026-10-06 19:16 UTC✅ ok—8025 ms
2026-10-06 09:40 UTC✅ ok4045 ms
Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

More from the same publisher

TensorFeed x402 Base Reader Not measured yet

Read-only Base mainnet reader. Verifies x402 payment settlements + AFTA federation status.

Package npm : @tensorfeed/x402-base-mcp · website · measurements and details

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Publisher of TensorFeed?

Show your measured reliability on your README or website:

Faceabot reliability badge for TensorFeed

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Data in JSON: /api/catalog?id=ai.tensorfeed/mcp-server · Stop probes: POST /api/reliability/opt-out

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