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Camera Coverage Base-100 Series + Missing Value Fill
x402
Camera Coverage Base-100 Series + Missing Value Fill 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 a base-100 index series and fills missing values for camera coverage records (shot_count or coverage_seconds) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill 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 reports: (1) a base-100 indexed series for the selected field (shot_count or coverage_seconds) relative to the specified base row, and (2) an explicit missing-value fill report showing imputed values using the chosen method (zero, mean, or median). Both reports are computed locally on the supplied rows (up to 200).
Example use cases
Normalize daily shot counts to baseline
“I have daily shot count records for camera groups A and B across 30 days, some with nulls — please index the shot_count field to base-100 starting from row 0 and fill missing values with the median.”
Coverage seconds imputation for missing days
“My coverage_seconds data for three asset groups has gaps over the past week; can you fill those missing values using zero-fill and also give me the base-100 indexed series starting from row index 0?”
Multi-group camera coverage audit
“Here are 50 rows of camera coverage data across multiple asset groups with both shot_count and coverage_seconds — run the base-100 indexing and median missing-value fill on the coverage_seconds field so I can compare groups fairly.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-169?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to both normalize camera coverage time series data to a base-100 index AND impute missing values in a single call, without any external data lookups or live predictions. It is ideal for media production analytics workflows where shot_count or coverage_seconds records have gaps and need to be made comparable across asset groups via indexing.
Side effects
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- base_index out of range for supplied rows — error
- All values for selected field are null — imputation may fail or return degenerate results
- Missing required fields (row_id, asset_group, date) on any row — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| base_index | integer |
Tags
x402
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