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Is Prospect Intelligence reliable?

Reliable (measured) Yes. Faceabot measured Prospect Intelligence 23 times: 100% of checks succeeded, including the last 23 in a row (last check 2026-10-19 19:25 UTC). It also does the job: its real read-only task worked 23 of 23 times.

Last check: 2026-10-19 19:25 UTC · answered in 6545 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

B2B company research and work-email lookup for AI agents. Pay per call in USDC on Base via x402.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.9.1 · publisher website
Connect your agent
{
  "mcpServers": {
    "prospect-intelligence": {
      "url": "https://prospect-intelligence.prospectintel.workers.dev/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.truepointmarketingpartners-dotcom/prospect-intelligence"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Does the job (tested) — Faceabot asked basic_lookup to do a small read-only task 23 time(s): 23 returned a real result, the last 23 in a row. Last result: ok in 2426 ms.

Sample input: {"company":"Stripe"}. 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

Apollo.io B2B Person Enrichment & Verified Email Finder (x402) Reliable (measured) · 100%
Apollo.io B2B Person Enrichment & Verified Work Email Finder via x402 on Base ($0.10 USDC/call). · https://agent-distribution-gateway.vercel.app/api/mcp

ApiOne B2B Enrichment (GCC and MENA) Reliable (measured) · 100%
B2B company, people and email enrichment with cited sources, built for GCC and MENA companies. · https://apione.store/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 19:25 UTC✅ ok✅ done6545 ms
2026-10-19 06:01 UTC✅ ok✅ done6762 ms
2026-10-18 13:40 UTC✅ ok✅ done6516 ms
2026-10-18 03:45 UTC✅ ok✅ done4505 ms
2026-10-17 19:45 UTC✅ ok✅ done4091 ms
2026-10-17 11:20 UTC✅ ok✅ done6393 ms
2026-10-17 03:40 UTC✅ ok✅ done5360 ms
2026-10-16 20:00 UTC✅ ok✅ done6203 ms
2026-10-16 12:55 UTC✅ ok✅ done7582 ms
2026-10-16 06:01 UTC✅ ok✅ done5727 ms
2026-10-15 23:05 UTC✅ ok✅ done5202 ms
2026-10-15 16:06 UTC✅ ok✅ done8220 ms
2026-10-15 09:31 UTC✅ ok✅ done3728 ms
2026-10-15 03:00 UTC✅ ok✅ done4357 ms
2026-10-14 20:35 UTC✅ ok✅ done5921 ms
2026-10-14 14:05 UTC✅ ok✅ done6159 ms
2026-10-14 07:40 UTC✅ ok✅ done3977 ms
2026-10-14 00:56 UTC✅ ok✅ done7538 ms
2026-10-13 18:50 UTC✅ ok✅ done6892 ms
2026-10-13 12:45 UTC✅ ok✅ done5029 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

Claim Grounding Reliable (measured) · 100% over 23 checks Does the job (tested) · 23/23

Fact-check AI answers with cited sources. Pay per call in USDC on Base via x402.

MCP endpoint : https://claim-grounding.prospectintel.workers.dev/mcp · website · measurements and details

Find tools similar to Prospect Intelligence →

Publisher of Prospect Intelligence?

Show your measured reliability on your README or website:

Faceabot reliability badge for Prospect Intelligence

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Data in JSON: /api/catalog?id=io.github.truepointmarketingpartners-dotcom/prospect-intelligence · Stop probes: POST /api/reliability/opt-out

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