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Camera Coverage Daily Sum Series with IQR Outlier Flags
x402
Camera Coverage Daily Sum Series with IQR Outlier Flags 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).
Computes daily sum time series and IQR-based outlier flags for camera coverage records (shot_count or coverage_seconds) across asset groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags 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 analytical reports: (1) a daily sum time series aggregating the selected metric (shot_count or coverage_seconds) by date, and (2) IQR-based outlier flags identifying which dates fall outside the interquartile range bounds — all computed locally from the supplied rows without any external lookup.
Example use cases
Spot anomalous filming days in production
“Here are 150 rows of daily camera coverage logs across our production asset groups — run a daily sum and IQR outlier analysis on the coverage_seconds field so I can see which days had statistically unusual coverage.”
Audit shot count spikes across camera groups
“I've got camera coverage records for October with shot_count and coverage_seconds per group. Can you compute the daily totals for shot_count and flag any outlier days using IQR?”
Quality check surveillance camera activity
“I need to QA our surveillance camera data — here are 80 rows of daily shot counts across multiple asset groups. Give me the daily sum series and mark which days are outliers based on interquartile range.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-140?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular camera coverage records (up to 200 rows) and need both a daily aggregated time series and IQR-based outlier detection in a single low-cost call ($0.01 USDC for 2 reports). It is ideal for offline/batch analytical passes on pre-collected data rather than live monitoring or prediction tasks.
Side effects
- Empty rows array returns an error (minItems: 1)
- More than 200 rows provided triggers a validation error (maxItems: 200)
- Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Invalid field enum value (not shot_count or coverage_seconds) causes request failure
- Null values for both numeric fields may reduce outlier detection reliability
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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