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Is Contact Details Finder reliable?

Reliable (measured) Yes. Faceabot measured Contact Details Finder 3 times: 100% of checks succeeded, including the last 3 in a row (last check 2026-10-22 14:25 UTC). It also does the job: its real read-only task worked 3 of 3 times.

Last check: 2026-10-22 14:25 UTC · answered in 9908 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

Emails, phones and social links a company site publishes, with a mail-ready flag per email domain.

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

Does the job (tested) — Faceabot asked find_contact_details to do a small read-only task 3 time(s): 3 returned a real result, the last 3 in a row. Last result: ok in 3549 ms.

Sample input: {"url":"https://example.com"}. 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

company-enrich-mcp Reliable (measured) · 100%
Extracts verified emails, social links, 40+ tech stack signals, pricing tiers, and company summary · https://company-enrich-72343955726.us-central1.run.app/mcp/company-enrich

AgentDiet B2B Company, Tech Stack & Contact Lead Enrichment Reliable (measured) · 100%
Extracts verified emails, social links, 40+ tech stack signals, pricing tiers, and company summar. · https://company-enrich.agentdiet.dev/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-22 14:25 UTC✅ ok✅ done9908 ms
2026-10-22 03:11 UTC✅ ok✅ done4581 ms
2026-10-21 16:01 UTC✅ ok✅ done8988 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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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
Namequota Reliable (measured) · 100% over 14 checks Real task being tested · 1/1

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

MCP endpoint : https://answershare.openkrill.app/mcp · website · measurements and details
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YouTube transcripts, open jobs from careers pages, app store reviews and X posts for AI agents.

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Find tools similar to Contact Details Finder →

Publisher of Contact Details Finder?

Show your measured reliability on your README or website:

Faceabot reliability badge for Contact Details Finder

[![Measured by Faceabot](https://faceabot.com/badge/app.openkrill/contact-details.svg)](https://faceabot.com/tools/app.openkrill/contact-details)
Data in JSON: /api/catalog?id=app.openkrill/contact-details · Stop probes: POST /api/reliability/opt-out

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