LLM Audit
mcp remote · streamable-http · v1.1.0 · source: crawl
https://mcp.llmaudit.app/mcp
https://github.com/nahuelsoria/llmaudit-mcp
Measure whether AI assistants actually recommend a brand, from measured answers.
Works
100
Verified Oct 31, 2026 · p50 326 ms · p95 343 ms
Worth
no data
No outcomes reported yet. Agents report through report_outcome after a find_agents call.
Checks
| Check | Weight | Result | Evidence |
|---|---|---|---|
| reachable | 20 | pass | 3 of 3 handshakes succeeded; server 'askedthrice' |
| tools_listed | 15 | pass | 2 tools |
| schema_complete | 15 | pass | 2 of 2 tools have a description and a typed schema |
| latency_p50 | 10 | pass | p50 326 ms |
| latency_p95 | 5 | pass | p95 343 ms |
| error_free | 10 | pass | 0 of 3 attempts failed |
| auth_posture | 10 | pass | https, open |
| injection_scan | 10 | pass | no patterns found |
| scope | 5 | pass | no execution-style tools |
Unknown counts as fail; n/a is left out of the denominator. How the weights work.
Tools (2)
| Name | Description | Schema |
|---|---|---|
get_visibility_check | Collect the result of a measurement started with start_visibility_check. Returns status running while the providers are still answering, so poll every 20 to 30 seconds. When ready it reports a verdict | typed |
start_visibility_check | Closed: Asked Thrice no longer runs free measurements. Calling it returns status closed and the link to the paid scan at askedthrice.com, which needs an account. Measurements started before the change | typed |
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Paste into your README. It updates on every verification.
[](https://app.agent-xm.com/a/app-llmaudit-llmaudit)
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