get_attribution_timeseries
shallowio.github.snehdhruv/trillboards-dooh · Verify this server
Get daily attribution timeseries for a campaign. WHEN TO USE: - Tracking attribution trends over time - Identifying which days had the strongest lift - Building attribution dashboards with daily granularity RETURNS: Array of daily data points, each with: - date, uniqueDevices, totalExposures, avgFrequency - exposedVisitors, controlVisitors, liftPct, incrementalVisits - costPerVisit, totalMediaCost, isSignificant EXAMPLE: get_attribution_timeseries({ campaign_id: "camp_abc123", start_date: "2026-03-01", end_date: "2026-03-10" })
1 trials · measured 8 days ago
get_attribution_timeseries 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.
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