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Is LLM API Pricing and Automation Tools by shurco.ai reliable?

Reliable (measured) Yes. Faceabot measured LLM API Pricing and Automation Tools by shurco.ai 24 times: 100% of checks succeeded, including the last 24 in a row (last check 2026-10-19 16:55 UTC). It also does the job: its real read-only task worked 24 of 24 times.

Last check: 2026-10-19 16:55 UTC · answered in 7436 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

Daily LLM API prices, cost estimates and automation ROI tools from shurco.ai

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

Does the job (tested) — Faceabot asked about_alexey_shurov to do a small read-only task 24 time(s): 24 returned a real result, the last 24 in a row. Last result: ok in 3418 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 16:55 UTC✅ ok✅ done7436 ms
2026-10-19 02:25 UTC✅ ok✅ done9494 ms
2026-10-18 10:50 UTC✅ ok✅ done6911 ms
2026-10-18 02:15 UTC✅ ok✅ done8936 ms
2026-10-17 18:10 UTC✅ ok✅ done8251 ms
2026-10-17 10:00 UTC✅ ok✅ done8365 ms
2026-10-17 02:10 UTC✅ ok✅ done6718 ms
2026-10-16 18:45 UTC✅ ok✅ done6036 ms
2026-10-16 11:41 UTC✅ ok✅ done6943 ms
2026-10-16 04:45 UTC✅ ok✅ done6263 ms
2026-10-15 21:50 UTC✅ ok✅ done6724 ms
2026-10-15 15:01 UTC✅ ok✅ done4481 ms
2026-10-15 08:16 UTC✅ ok✅ done3424 ms
2026-10-15 01:45 UTC✅ ok✅ done3582 ms
2026-10-14 19:20 UTC✅ ok✅ done7812 ms
2026-10-14 12:50 UTC✅ ok✅ done5791 ms
2026-10-14 06:26 UTC✅ ok✅ done10175 ms
2026-10-13 23:41 UTC✅ ok✅ done9322 ms
2026-10-13 17:35 UTC✅ ok✅ done8845 ms
2026-10-13 11:25 UTC✅ ok✅ done6384 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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Data in JSON: /api/catalog?id=ai.shurco/llm-pricing · Stop probes: POST /api/reliability/opt-out

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