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Camera Coverage IQR Outlier Flags + Keyed Dataset Comparison
x402
Camera Coverage IQR Outlier Flags + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs IQR-based outlier detection and keyed dataset comparison on up to 200 camera coverage records (shot_count or coverage_seconds) in a single paid call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison for supplied camera coverage records (shot_count, coverage_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) IQR outlier flags identifying which rows have shot_count or coverage_seconds values outside the interquartile range fence, and (2) a keyed dataset comparison showing row-level differences between the primary and secondary supplied datasets. No external data is fetched; all analysis runs on the supplied rows only.
Example use cases
Spot anomalous shot counts across camera groups
“I have 150 rows of daily camera coverage data with shot_count and coverage_seconds per asset_group — can you flag which rows are IQR outliers in shot_count and also compare them against last month's records to see what changed?”
Audit coverage seconds drift between two production runs
“I need to compare two camera coverage datasets from different production runs — both have up to 200 rows with row_id, date, asset_group, and coverage_seconds — can you run IQR outlier flags on coverage_seconds and do a keyed comparison to surface the differences?”
Daily QA check on multi-group camera feeds
“Every morning I want to check yesterday's camera coverage records against the previous day's baseline — can you flag any shot_count outliers using IQR and highlight rows where the two datasets don't match, using row_id as the key?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-179?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have camera coverage records (shot_count or coverage_seconds) and need both IQR-based outlier detection and a structured keyed comparison between two datasets in a single low-cost call. Ideal for media production QA pipelines, daily coverage audits, or batch anomaly checks where no live data lookup or external enrichment is needed and all data is supplied by the caller.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected
- Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema rejection
- field enum not recognized — defaults or error depending on implementation
- Insufficient data spread for IQR calculation (e.g. all identical values) — may yield no outliers flagged
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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