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Is Grandet reliable?

Reliable (measured) Yes. Faceabot measured Grandet 7 times: 100% of checks succeeded, including the last 7 in a row (last check 2026-10-19 19:01 UTC). It answers, but its real task has not worked yet (0/7 real results): see "Does it actually do the job?" below.

Last check: 2026-10-19 19:01 UTC · answered in 7449 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

Cheapest API for any model across official, inference and relay providers; find free credits

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.3.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "grandet": {
      "url": "https://grandet.ai/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.hanzohanzhe/grandet"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Fails real tasks — Faceabot asked grandet_find_cheapest_api to do a small read-only task 7 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 2384 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

InferIndex Reliable (measured) · 100%
LLM API prices across 70+ providers: cheapest offer, comparisons, history and cost estimates. · https://mcp.inferindex.dev/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 19:01 UTC✅ ok❌ tool_error7449 ms
2026-10-19 05:20 UTC✅ ok❌ tool_error6025 ms
2026-10-18 13:10 UTC✅ ok❌ tool_error4428 ms
2026-10-18 03:30 UTC✅ ok❌ tool_error4386 ms
2026-10-17 19:30 UTC✅ ok❌ tool_error6961 ms
2026-10-17 11:10 UTC✅ ok❌ tool_error7695 ms
2026-10-17 03:30 UTC✅ ok❌ tool_error6590 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 Grandet?

Show your measured reliability on your README or website:

Faceabot reliability badge for Grandet

[![Measured by Faceabot](https://faceabot.com/badge/io.github.hanzohanzhe/grandet.svg)](https://faceabot.com/tools/io.github.hanzohanzhe/grandet)
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