semantic_audience_search
shallowio.github.snehdhruv/trillboards-dooh · Verify this server
Search screens by natural language scene description using pgvector. Uses 768-dimensional Gemini embeddings on scene descriptions from FEIN edge AI to find screens matching a natural language query. WHEN TO USE: - Finding screens by audience context ("families eating lunch in a food court") - Contextual ad placement based on real-time scene understanding - Discovering inventory matching a specific audience scenario RETURNS: Array of matching screens ranked by semantic similarity, each with: - screen_id, mongo_screen_id, scene_description, contextual_relevance, similarity, created_at EXAMPLE: semantic_audience_search({ query: "young professionals in a coffee shop looking at phones", limit: 10 })
1 trials · measured 8 days ago
semantic_audience_search scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.snehdhruv/trillboards-dooh, measured 25 Aug 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 |
|---|---|---|---|
| 2026-08-25 | 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.
Embed this score
Available for every tool, scored or not — not a verification perk. Always links back to this page.
[](https://vouch.tools/tools/dd3f79e9-e567-45b1-b14d-33fe1a1deafa)