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Camera Coverage Analytics: Adjacent Row Changes + Date-by-Category Pivot
x402
Camera Coverage Analytics: Adjacent Row Changes + Date-by-Category Pivot 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 two analytical reports on camera coverage data — adjacent row change detection and a date-by-category pivot — for up to 200 rows of shot_count or coverage_seconds data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot 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 derived entirely from the supplied data: (1) an adjacent row changes report showing how shot_count or coverage_seconds values differ between consecutive rows, and (2) a date-by-category pivot table aggregating the selected metric by date and asset_group. No external lookups or predictions are made; all computation is local to the engine.
Example use cases
Row-over-row shot count shifts
“I've got 50 camera coverage records across two asset groups over the past month — can you show me how shot_count changes from one row to the next and also give me a pivot of shot counts by date and asset group?”
Coverage seconds trend by asset group
“Analyze my 120 camera coverage records using coverage_seconds as the metric — I want adjacent row differences to spot sudden drops, and a date-by-category pivot so I can see which asset groups had the most coverage on each day.”
Multi-group daily coverage summary
“Here are 80 rows of camera coverage data across group-a and group-b from October — run the adjacent row changes report and the date-by-category pivot on shot_count so I can see daily patterns and sequential shifts.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-160?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have camera coverage tabular data (shot_count or coverage_seconds) with row IDs, dates, and asset groups, and you need both a sequential row-difference analysis and a date-by-category pivot in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where no live data lookup, external enrichment, or prediction is needed — just fast local analytical computation on supplied records.
Side effects
- Fewer than 1 row supplied — returns a validation error
- More than 200 rows supplied — rejected with a row limit error
- Invalid date format (not YYYY-MM-DD) in any row — schema validation failure
- Invalid field value (not 'shot_count' or 'coverage_seconds') — enum validation error
- Missing required fields (row_id, asset_group, date) in any row — schema error
- Null numeric values handled gracefully but may produce null deltas in adjacent row report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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