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Is AI Catalog by Crescendo Lab reliable?

Reliable (measured) Yes. Faceabot measured AI Catalog by Crescendo Lab 40 times: 100% of checks succeeded, including the last 40 in a row (last check 2026-10-19 11:05 UTC). It also does the job: its real read-only task worked 40 of 40 times.

Last check: 2026-10-19 11:05 UTC · answered in 5724 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

Check if a product feed is ready for AI shopping (ChatGPT, Gemini, AI Mode): score, gaps, fixes.

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

Does the job (tested) — Faceabot asked get_feed_fix_guide to do a small read-only task 40 time(s): 40 returned a real result, the last 40 in a row. Last result: ok in 2734 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 11:05 UTC✅ ok✅ done5724 ms
2026-10-18 18:30 UTC✅ ok✅ done4363 ms
2026-10-18 06:15 UTC✅ ok✅ done8749 ms
2026-10-17 22:25 UTC✅ ok✅ done4111 ms
2026-10-17 14:05 UTC✅ ok✅ done7524 ms
2026-10-17 06:10 UTC✅ ok✅ done5985 ms
2026-10-16 22:25 UTC✅ ok✅ done4202 ms
2026-10-16 15:15 UTC✅ ok✅ done4912 ms
2026-10-16 08:15 UTC✅ ok✅ done4956 ms
2026-10-16 01:20 UTC✅ ok✅ done8296 ms
2026-10-15 18:25 UTC✅ ok✅ done8631 ms
2026-10-15 11:41 UTC✅ ok✅ done4814 ms
2026-10-15 05:05 UTC✅ ok✅ done3893 ms
2026-10-14 22:40 UTC✅ ok✅ done5666 ms
2026-10-14 16:10 UTC✅ ok✅ done6075 ms
2026-10-14 09:40 UTC✅ ok✅ done3754 ms
2026-10-14 03:01 UTC✅ ok✅ done7029 ms
2026-10-13 20:41 UTC✅ ok✅ done7219 ms
2026-10-13 14:31 UTC✅ ok✅ done7460 ms
2026-10-13 08:25 UTC✅ ok✅ done6980 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 AI Catalog by Crescendo Lab?

Show your measured reliability on your README or website:

Faceabot reliability badge for AI Catalog by Crescendo Lab

[![Measured by Faceabot](https://faceabot.com/badge/com.cresclab.catalog/ai-catalog.svg)](https://faceabot.com/tools/com.cresclab.catalog/ai-catalog)
Data in JSON: /api/catalog?id=com.cresclab.catalog/ai-catalog · 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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