docs-find
shallowio.github.faisal-maverick/aayat-ai · Verify this server
Find the AI-ready docs for any library or API: checks the project's docs site (from its npm, PyPI, crates or Go metadata) or any company domain (docs., developers., /docs) for llms.txt and llms-full.txt files, with titles, sizes and page counts, plus homepage and repository. Use to locate where a project's AI-ready docs (llms.txt) live. Instead, use `docs-lib` ($0.005) for the docs content itself. Answers may be cached for up to 24 hours. Price: $0.003 USDC per call (x402 or prepaid credits); failed calls are free. In the free trial.
1 trials · measured 2 days ago
docs-find scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.faisal-maverick/aayat-ai, measured 6 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-06 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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[](https://vouch.tools/tools/45e939d4-a05e-4a1b-b238-da483a9d1f7a)