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Is agiscorecard-web3-permit reliable?

Reliable (measured) Yes. Faceabot measured agiscorecard-web3-permit 31 times: 100% of checks succeeded, including the last 31 in a row (last check 2026-10-19 16:45 UTC). It also does the job: its real read-only task worked 31 of 31 times.

Last check: 2026-10-19 16:45 UTC · answered in 8904 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

Review declared AI data permissions, expiry and regions; model revenue splits without moving funds.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.7.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "agiscorecard-web3-permit": {
      "url": "https://permit.agiscorecard.com/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.f-tiger/agiscorecard-web3-permit"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Does the job (tested) — Faceabot asked fetch to do a small read-only task 31 time(s): 31 returned a real result, the last 31 in a row. Last result: ok in 2634 ms.

Sample input: {"id":"permit"}. 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 16:45 UTC✅ ok✅ done8904 ms
2026-10-19 02:10 UTC✅ ok✅ done9202 ms
2026-10-18 10:40 UTC✅ ok✅ done5660 ms
2026-10-18 02:10 UTC✅ ok✅ done6478 ms
2026-10-17 18:05 UTC✅ ok✅ done5956 ms
2026-10-17 09:55 UTC✅ ok✅ done7027 ms
2026-10-17 02:05 UTC✅ ok✅ done5674 ms
2026-10-16 18:45 UTC✅ ok✅ done5393 ms
2026-10-16 11:41 UTC✅ ok✅ done7046 ms
2026-10-16 04:45 UTC✅ ok✅ done7418 ms
2026-10-15 21:55 UTC✅ ok✅ done4635 ms
2026-10-15 15:01 UTC✅ ok✅ done5663 ms
2026-10-15 08:21 UTC✅ ok✅ done3438 ms
2026-10-15 01:50 UTC✅ ok✅ done3418 ms
2026-10-14 19:25 UTC✅ ok✅ done5215 ms
2026-10-14 12:55 UTC✅ ok✅ done5288 ms
2026-10-14 06:31 UTC✅ ok✅ done9355 ms
2026-10-13 23:46 UTC✅ ok✅ done7537 ms
2026-10-13 17:40 UTC✅ ok✅ done10091 ms
2026-10-13 11:35 UTC✅ ok✅ done9670 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.

More from the same publisher

Agentic Commerce Tools Flaky · 80% over 5 checks

7 free tools: MCP health scans, AI-readiness scores, llms.txt generator, glossary, indexes.

MCP endpoint : https://mcppulse.agiscorecard.com/mcp · website · measurements and details
agiscorecard-web3-calls Reliable (measured) · 100% over 31 checks Does the job (tested) · 31/31

Decode supported token calls and flag recipient or amount mismatches; no wallet or safety verdict.

MCP endpoint : https://calls.agiscorecard.com/mcp · website · measurements and details
agiscorecard-web3-compute Reliable (measured) · 100% over 31 checks Does the job (tested) · 31/31

Compare GPU workload costs per accepted output, including setup, storage, egress and failed work.

MCP endpoint : https://compute.agiscorecard.com/mcp · website · measurements and details
agiscorecard-web3-disclosures Reliable (measured) · 100% over 31 checks Does the job (tested) · 31/31

Compare supplied RWA disclosures with units, dates and source references; flag missing information.

MCP endpoint : https://disclosures.agiscorecard.com/mcp · website · measurements and details
agiscorecard-web3-evidence Reliable (measured) · 100% over 31 checks Does the job (tested) · 31/31

Review agent task evidence with sample deduplication, version filters and uncertainty intervals.

MCP endpoint : https://evidence.agiscorecard.com/mcp · website · measurements and details

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Publisher of agiscorecard-web3-permit?

Show your measured reliability on your README or website:

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Data in JSON: /api/catalog?id=io.github.f-tiger/agiscorecard-web3-permit · Stop probes: POST /api/reliability/opt-out

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