get_audience_lookalike

shallow

io.github.snehdhruv/trillboards-dooh · Verify this server

Find screens with similar audience profiles using pgvector similarity. Uses 64-dimensional audience vectors with HNSW cosine similarity index to find screens whose audience demographics, attention, and behavioral patterns match a target screen. WHEN TO USE: - Expanding campaign reach to screens with similar audiences - Finding new inventory that matches a high-performing screen - Building lookalike audience segments for targeting RETURNS: Array of similar screens ranked by cosine similarity, each with: - screen_id, similarity (0-1), metadata (face_count, attention, income, lifestyle), last_seen EXAMPLE: get_audience_lookalike({ screen_id: "scr_abc123", limit: 10, min_similarity: 0.8 })

100.0/100

1 trials · measured 8 days ago

get_audience_lookalike 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

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: get_audience_lookalike
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get_audience_lookalike — Vouch