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Is Model ID Cheatsheet reliable?

Not measured yet Not measured yet. Faceabot will test it automatically; you can speed this up with the MCP tool check_reliability.

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

What it does

Accurate API model IDs, pricing, and specs for 46 models across 7 AI providers.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "model-id-cheatsheet": {
      "url": "https://universal-model-registry-production.up.railway.app/sse"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.aezizhu/model-id-cheatsheet"} on https://faceabot.com/api/mcp.
Does it actually do the job?

— Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Faceabot measurements

No measurement yet.

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 Model ID Cheatsheet?

Show your measured reliability on your README or website:

Faceabot reliability badge for Model ID Cheatsheet

[![Measured by Faceabot](https://faceabot.com/badge/io.github.aezizhu/model-id-cheatsheet.svg)](https://faceabot.com/tools/io.github.aezizhu/model-id-cheatsheet)
Data in JSON: /api/catalog?id=io.github.aezizhu/model-id-cheatsheet · 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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