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Is NCUA credit union data reliable?

Reliable (measured) Yes. Faceabot measured NCUA credit union data 4 times: 100% of checks succeeded, including the last 4 in a row (last check 2026-10-09 03:21 UTC).

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

What it does

NCUA call report data for US credit unions, 2018-2026: profiles, peer comparison, time series.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.7 · publisher website
Connect your agent
{
  "mcpServers": {
    "ncua-data-analysis": {
      "url": "https://ncua-data-analysis.fly.dev/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.bnovarini/ncua-data-analysis"} 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
2026-10-09 03:21 UTC✅ ok—9708 ms
2026-10-08 18:35 UTC✅ ok—6513 ms
2026-10-08 09:20 UTC✅ ok—8357 ms
2026-10-08 00:00 UTC✅ ok—9530 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 NCUA credit union data?

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Data in JSON: /api/catalog?id=io.github.bnovarini/ncua-data-analysis · Stop probes: POST /api/reliability/opt-out

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