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Camera Coverage Analytics: Base-100 Series + Date-by-Category Pivot
x402
Camera Coverage Analytics: Base-100 Series + 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 2026-10-22).
Runs two analytical reports on camera coverage data — a Base-100 indexed time series and a date-by-category pivot table — for up to 200 supplied rows of shot_count or coverage_seconds data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — Base-100 series + Date by category pivot: Base-100 series + 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
Returns two analytical reports: (1) a Base-100 indexed time series for the chosen field (shot_count or coverage_seconds), normalizing each value relative to the specified base row index; and (2) a date-by-category pivot table grouping the same field by date and asset_group. Both reports are computed locally from the supplied rows with no external data lookups.
Example use cases
Tracking relative coverage growth over time
“I have daily camera shot counts across three asset groups for the past month — can you normalize them to a Base-100 series starting from the first date and also give me a pivot table breaking coverage_seconds down by date and group?”
Comparing camera group performance in post-production
“We finished a shoot and I have shot_count and coverage_seconds for 50 camera sessions split across five asset groups. Can you index the shot_count data to Base-100 starting at position 0 and pivot it by date and asset group so I can compare performance?”
Benchmarking security camera coverage by zone
“I have 150 rows of security camera data with daily shot counts and coverage seconds for zones A through D — please run the Base-100 series on coverage_seconds with base index 0 and also generate the date-by-category pivot table for those zones.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have camera coverage data (shot counts or coverage seconds) organized by asset group and date, and need both a Base-100 normalized trend series and a date-by-category pivot in a single low-cost call. It is ideal for post-production analysis, security camera audits, or any scenario where you want to benchmark relative changes over time alongside a grouped breakdown, all from your own supplied data without any external lookup.
Side effects
- Missing required row fields (row_id, asset_group, date, shot_count, coverage_seconds) cause validation errors
- Submitting more than 200 rows exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- base_index pointing to a row with a null or zero value may cause normalization issues
- Empty rows array (minItems: 1 not met) returns a validation error
- Invalid field enum value (anything other than shot_count or coverage_seconds) is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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