How do I connect an AI agent to NoiseFloor — market attention and evidence checks?

Use the MCP streamable HTTP endpoint https://api.seiche.info/noisefloor/mcp.

Catalog › io.github.beepboop2025/noisefloor

Is NoiseFloor — market attention and evidence checks reliable?

Reliable (measured) Yes. Faceabot measured NoiseFloor — market attention and evidence checks 38 times: 100% of checks succeeded, including the last 38 in a row (last check 2026-10-19 15:25 UTC). It also does the job: its real read-only task worked 38 of 38 times.

Last check: 2026-10-19 15:25 UTC · answered in 9448 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

Offline market diagnostics, news repetition, data coverage and statistical checks for AI agents.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.4.3 · publisher website

Connect your agent

{
  "mcpServers": {
    "noisefloor": {
      "url": "https://api.seiche.info/noisefloor/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.beepboop2025/noisefloor"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked ab_test to do a small read-only task 38 time(s): 38 returned a real result, the last 38 in a row. Last result: ok in 3465 ms.

Sample input: {"a_successes":0,"a_total":0,"b_successes":0,"b_total":0}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 15:25 UTC	✅ ok	✅ done	9448 ms
2026-10-19 00:20 UTC	✅ ok	✅ done	6190 ms
2026-10-18 09:10 UTC	✅ ok	✅ done	8120 ms
2026-10-18 01:25 UTC	✅ ok	✅ done	6233 ms
2026-10-17 17:15 UTC	✅ ok	✅ done	5742 ms
2026-10-17 09:10 UTC	✅ ok	✅ done	4824 ms
2026-10-17 01:10 UTC	✅ ok	✅ done	5683 ms
2026-10-16 18:00 UTC	✅ ok	✅ done	7187 ms
2026-10-16 10:55 UTC	✅ ok	✅ done	5529 ms
2026-10-16 04:01 UTC	✅ ok	✅ done	6734 ms
2026-10-15 21:10 UTC	✅ ok	✅ done	5032 ms
2026-10-15 14:16 UTC	✅ ok	✅ done	5726 ms
2026-10-15 07:40 UTC	✅ ok	✅ done	3475 ms
2026-10-15 01:05 UTC	✅ ok	✅ done	3421 ms
2026-10-14 18:40 UTC	✅ ok	✅ done	6241 ms
2026-10-14 12:10 UTC	✅ ok	✅ done	5346 ms
2026-10-14 05:46 UTC	✅ ok	✅ done	7008 ms
2026-10-13 22:55 UTC	✅ ok	✅ done	9814 ms
2026-10-13 16:50 UTC	✅ ok	✅ done	9058 ms
2026-10-13 10:41 UTC	✅ ok	✅ done	8322 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 NoiseFloor — market attention and evidence checks?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.beepboop2025/noisefloor.svg)](https://faceabot.com/tools/io.github.beepboop2025/noisefloor)

Data in JSON: /api/catalog?id=io.github.beepboop2025/noisefloor · 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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