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Is Agent Data Co reliable?

Reliable (measured) Yes. Faceabot measured Agent Data Co 15 times: 100% of checks succeeded, including the last 15 in a row (last check 2026-10-19 13:30 UTC). It answers, but its real task has not worked yet (0/15 real results): see "Does it actually do the job?" below.

Last check: 2026-10-19 13:30 UTC · answered in 7573 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Daily AI-ecosystem data: GitHub AI/MCP repos, MCP registry, HF trending, LLM pricing, with history.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "api": {
      "url": "https://agentdataco.com/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"com.agentdataco/api"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Fails real tasks — Faceabot asked get_ai_pricing to do a small read-only task 15 time(s): 0 returned a real result. Last result: tool_error (its schema declares no required input, so Faceabot sent {}; the tool answered with an error, so it probably needs inputs its schema does not declare) in 4703 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Other proven tools for the same job

Trending Repository Tracker — new GitHub repo discovery ($0.01/query) Flaky · 88%
Trending GitHub repos: new & rising daily. $0.01/query. Register in-session — free testnet funds. · https://a2awire.com/mcp/data/ghtrend-fast-growing-new-github-repositories-01390c/http

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 13:30 UTC✅ ok❌ tool_error7573 ms
2026-10-18 21:40 UTC✅ ok❌ tool_error7350 ms
2026-10-18 07:50 UTC✅ ok❌ tool_error5006 ms
2026-10-18 00:00 UTC✅ ok❌ tool_error6518 ms
2026-10-17 15:50 UTC✅ ok❌ tool_error6356 ms
2026-10-17 07:45 UTC✅ ok❌ tool_error6134 ms
2026-10-16 23:50 UTC✅ ok❌ tool_error6188 ms
2026-10-16 16:40 UTC✅ ok❌ tool_error7452 ms
2026-10-16 09:40 UTC✅ ok❌ tool_error7868 ms
2026-10-16 02:45 UTC✅ ok❌ tool_error7896 ms
2026-10-15 19:50 UTC✅ ok❌ tool_error7705 ms
2026-10-15 13:06 UTC✅ ok❌ tool_error5595 ms
2026-10-15 06:30 UTC✅ ok❌ tool_error3745 ms
2026-10-14 23:55 UTC✅ ok❌ tool_error4288 ms
2026-10-14 17:30 UTC✅ ok❌ tool_error8188 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.

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Publisher of Agent Data Co?

Show your measured reliability on your README or website:

Faceabot reliability badge for Agent Data Co

[![Measured by Faceabot](https://faceabot.com/badge/com.agentdataco/api.svg)](https://faceabot.com/tools/com.agentdataco/api)
Data in JSON: /api/catalog?id=com.agentdataco/api · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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