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Camera Coverage Numeric Distribution & IQR Outlier Flags
x402
Camera Coverage Numeric Distribution & 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 numeric distribution statistics and IQR-based outlier flags for camera coverage records (shot_count and coverage_seconds) on up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — Numeric distribution + IQR outlier flags: Numeric distribution + 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
Two analytical reports: (1) a numeric distribution summary (min, max, mean, median, quartiles, IQR) and (2) IQR-based outlier flags per row for the selected field (shot_count or coverage_seconds), covering up to 200 input records.
Example use cases
Detecting anomalous shot counts in production
“Here are 150 camera coverage records from last month's shoot — can you analyze the distribution of shot_count and flag any rows that are IQR outliers so I know which cameras behaved unusually?”
Coverage seconds quality check for asset groups
“I want to check if any of my asset groups have outlier coverage_seconds values — can you run the IQR outlier detection on these 80 coverage records using the coverage_seconds field?”
Daily camera audit statistical summary
“Run a numeric distribution report on these camera records for 2026-10-01 through 2026-10-04 — I need IQR outlier flags on shot_count to catch any cameras that fired way more or fewer times than normal.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-080?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need fast, local statistical analysis (IQR outlier detection + numeric distribution) on camera coverage records without any external lookup or live data dependency. It is ideal for data quality checks on batch camera logs where you already have the data and need to identify anomalous shot_count or coverage_seconds values cheaply ($0.01 USDC for two reports on up to 200 rows).
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, shot_count, coverage_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- Null values in numeric fields may affect distribution accuracy
- Invalid field selector value (not shot_count or coverage_seconds) — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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