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Is NanoParse reliable?

Reliable (measured) Yes. Faceabot measured NanoParse 17 times: 100% of checks succeeded, including the last 17 in a row (last check 2026-10-19 10:10 UTC). It answers, but its real task has not worked yet (0/4 real results): see "Does it actually do the job?" below.

Last check: 2026-10-19 10:10 UTC · answered in 6924 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

Clean Markdown from any URL with Litmus trust signals. $0.005 per page via x402, no account.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 2.0.1 · publisher website
Connect your agent
{
  "mcpServers": {
    "nanoparse-mcp": {
      "url": "https://nanoparse.app/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.nanoparse-dev/nanoparse-mcp"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Fails real tasks — Faceabot asked nanoparse_status to do a small read-only task 4 time(s): 0 returned a real result. Last result: rpc_error in 2121 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

read_url Reliable (measured) · 100%
One public web page as clean markdown, with title, language and a SHA-256. Obeys robots.txt. · https://mm-read-url.pradooskee.workers.dev/mcp

agent-web — URL to LLM-ready markdown: a polite, robots-respecting web page reader (free) Reliable (measured) · 100%
URL to clean markdown for LLMs: a polite, robots.txt-respecting web reader. Free, no API key · https://agent-web.foomworks.workers.dev/mcp

Scrapiq Reliable (measured) · 100%
Any URL to clean text, markdown, or JSON for LLM/RAG pipelines. · https://scrapiq.io/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 10:10 UTC✅ ok❌ rpc_error6924 ms
2026-10-18 17:20 UTC✅ ok❌ rpc_error8034 ms
2026-10-18 05:40 UTC✅ ok❌ rpc_error5925 ms
2026-10-17 21:45 UTC✅ ok❌ rpc_error4905 ms
2026-10-17 13:15 UTC✅ ok—5848 ms
2026-10-17 05:35 UTC✅ ok—4741 ms
2026-10-16 21:50 UTC✅ ok—5806 ms
2026-10-16 14:45 UTC✅ ok—9189 ms
2026-10-16 07:50 UTC✅ ok—7563 ms
2026-10-16 01:01 UTC✅ ok—6869 ms
2026-10-15 18:06 UTC✅ ok—7041 ms
2026-10-15 11:20 UTC✅ ok—4245 ms
2026-10-15 04:50 UTC✅ ok—3620 ms
2026-10-14 22:25 UTC✅ ok—4951 ms
2026-10-14 15:55 UTC✅ ok—5953 ms
2026-10-14 09:30 UTC✅ ok—3186 ms
2026-10-14 02:51 UTC✅ ok—7772 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 NanoParse?

Show your measured reliability on your README or website:

Faceabot reliability badge for NanoParse

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