semantic-search
shallowio.github.moralito311-andr/andreax · Verify this server
Rank a list of documents by MEANING closeness to a query (cosine similarity over embeddings). Ready-to-use RAG, no need for the agent to run its own vector DB. input='query || doc 1 || doc 2 || ...' (|| separated). [x402: 0.003 USDC on Base, pay-per-use]
1 trials · measured 1 day ago
semantic-search scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.moralito311-andr/andreax, measured 18 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 |
|---|---|---|---|
| 2026-10-18 | 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/3add9b88-f49d-43b6-aaf5-8a39a6c04f22)