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Is Namequota reliable?

Reliable (measured) Yes. Faceabot measured Namequota 8 times: 100% of checks succeeded, including the last 8 in a row (last check 2026-10-19 14:25 UTC).

Last check: 2026-10-19 14:25 UTC · answered in 7702 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

See how often AI answers name and link your brand, which rivals they name and which sites they cite.

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

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Other proven tools for the same job

Vaeo AI Discovery Reports Reliable (measured) · 100%
How often AI assistants name a local Australian business, and which pages they read. · https://vaeo.com.au/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 14:25 UTC✅ ok—7702 ms
2026-10-18 22:55 UTC✅ ok—7469 ms
2026-10-18 08:30 UTC✅ ok—7699 ms
2026-10-18 00:45 UTC✅ ok—5580 ms
2026-10-17 16:35 UTC✅ ok—7826 ms
2026-10-17 08:35 UTC✅ ok—7054 ms
2026-10-17 00:40 UTC✅ ok—4939 ms
2026-10-16 17:31 UTC✅ ok—7255 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

Ad Angle Map Reliable (measured) · 100% over 43 checks Does the job (tested) · 12/12

See how competitors position a product before you write ads.

MCP endpoint : https://adangle.openkrill.app/mcp · website · measurements and details
Agent Trace Check Reliable (measured) · 100% over 8 checks

Read a tool-call log from an AI agent run and see which calls failed, looped or were slow.

MCP endpoint : https://agenttrace.openkrill.app/mcp · website · measurements and details
AI Text Check Flaky · 96% over 28 checks Does the job (tested) · 14/14

Paste a draft and see the habits that make writing read like it came from an AI model.

MCP endpoint : https://aitext.openkrill.app/mcp · website · measurements and details
Agent Tools API Flaky · 95% over 21 checks Does the job (tested) · 19/19

YouTube transcripts, open jobs from careers pages, app store reviews and X posts for AI agents.

MCP endpoint : https://api.openkrill.app/mcp · website · measurements and details
Belief Poll Reliable (measured) · 100% over 8 checks Does the job (tested) · 8/8

Ask one question and get the share of people on X and Reddit who hold each answer, tied to posts.

MCP endpoint : https://belief.openkrill.app/mcp · website · measurements and details

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Publisher of Namequota?

Show your measured reliability on your README or website:

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Data in JSON: /api/catalog?id=app.openkrill/answer-share · Stop probes: POST /api/reliability/opt-out

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