What are reliable alternatives to Vaeo AI Discovery Reports?

Measured by Faceabot as working: Namequota.

How do I connect an AI agent to Vaeo AI Discovery Reports?

Use the MCP streamable HTTP endpoint https://vaeo.com.au/mcp.

Catalog › au.com.vaeo/reports

Is Vaeo AI Discovery Reports reliable?

Reliable (measured) Yes. Faceabot measured Vaeo AI Discovery Reports 17 times: 100% of checks succeeded, including the last 17 in a row (last check 2026-10-19 14:00 UTC). It also does the job: its real read-only task worked 17 of 17 times.

Last check: 2026-10-19 14:00 UTC · answered in 7705 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

How often AI assistants name a local Australian business, and which pages they read.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "reports": {
      "url": "https://vaeo.com.au/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"au.com.vaeo/reports"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked list_trades to do a small read-only task 17 time(s): 17 returned a real result, the last 17 in a row. Last result: ok in 5300 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

Namequota Reliable (measured) · 100%
See how often AI answers name and link your brand, which rivals they name and which sites they cite. · https://answershare.openkrill.app/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 14:00 UTC	✅ ok	✅ done	7705 ms
2026-10-18 22:20 UTC	✅ ok	✅ done	4919 ms
2026-10-18 08:10 UTC	✅ ok	✅ done	8017 ms
2026-10-18 00:25 UTC	✅ ok	✅ done	3765 ms
2026-10-17 16:15 UTC	✅ ok	✅ done	4535 ms
2026-10-17 08:10 UTC	✅ ok	✅ done	7276 ms
2026-10-17 00:15 UTC	✅ ok	✅ done	7447 ms
2026-10-16 17:10 UTC	✅ ok	✅ done	4861 ms
2026-10-16 10:10 UTC	✅ ok	✅ done	5327 ms
2026-10-16 03:15 UTC	✅ ok	✅ done	5712 ms
2026-10-15 20:25 UTC	✅ ok	✅ done	3983 ms
2026-10-15 13:36 UTC	✅ ok	✅ done	5697 ms
2026-10-15 06:55 UTC	✅ ok	✅ done	4237 ms
2026-10-15 00:25 UTC	✅ ok	✅ done	4812 ms
2026-10-14 18:00 UTC	✅ ok	✅ done	8184 ms
2026-10-14 11:30 UTC	✅ ok	✅ done	4560 ms
2026-10-14 05:01 UTC	✅ ok	✅ done	8942 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.

Publisher of Vaeo AI Discovery Reports?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/au.com.vaeo/reports.svg)](https://faceabot.com/tools/au.com.vaeo/reports)

Data in JSON: /api/catalog?id=au.com.vaeo/reports · 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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