Catalog › app.dataclue/catalog
Being measured Measurement in progress: 1 check(s) so far. A verdict needs at least 3 checks.
Last check: 2026-10-24 02:00 UTC · answered in 4392 ms · remote (no install)
En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.
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Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website{
"mcpServers": {
"catalog": {
"url": "https://dataclue.app/mcp"
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"app.dataclue/catalog"} on https://faceabot.com/api/mcp.Real task being tested — Faceabot asked get_pricing_and_terms to do a small read-only task 1 time(s): 1 returned a real result, the last 1 in a row. Last result: ok in 1597 ms.
{}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.| When | Answers | Real task | Latency |
|---|---|---|---|
| 2026-10-24 02:00 UTC | ✅ ok | ✅ done | 4392 ms |
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.Find tools similar to DataClue — AI training data →
Show your measured reliability on your README or website:
[](https://faceabot.com/tools/app.dataclue/catalog)Data in JSON: /api/catalog?id=app.dataclue/catalog · Stop probes:
POST /api/reliability/opt-outAI 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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