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Camera Coverage Data Quality Audit + String Normalisation + Secondary-Measure Weighted Mean
x402
Camera Coverage Data Quality Audit + String Normalisation + Secondary-Measure Weighted Mean 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 three local analytical reports on camera coverage records: a record quality audit, string normalisation, and a secondary-measure weighted mean — all offline, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied camera coverage records (shot_count, coverage_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, and malformed dates across all rows; (2) normalised string representations of text fields like asset_group; and (3) a secondary-measure weighted mean of the selected numeric field (shot_count or coverage_seconds) across the supplied rows — all computed locally with no external data sources.
Example use cases
Quality audit for video production batch
“I've got a batch of camera coverage records from our shoot last week — rows with asset_group, date, shot_count, and coverage_seconds. Can you audit them for quality issues, normalise the asset group strings, and give me a weighted mean of coverage_seconds weighted by shot_count?”
Detecting bad data in coverage logs
“We have up to 150 rows of camera shot data with row IDs, groups, dates, shot counts, and coverage seconds. Please run the record quality audit and string normalisation on them and also calculate the secondary-measure weighted mean using coverage_seconds as the field.”
Weighted average coverage seconds by shot count
“Can you take these 80 camera coverage records — each with a row_id, asset_group, date, shot_count, and coverage_seconds — and produce three reports: a quality audit, normalised strings, and a weighted mean of coverage_seconds using shot_count as the weight?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical operations — data quality auditing, string normalisation, and weighted mean computation — on camera coverage records (shot_count, coverage_seconds) in a single low-cost call. It is ideal for offline, local-only analysis of up to 200 rows with no need for live data, predictions, or external enrichment. The bundled pricing ($0.01 USDC for all three reports) makes it cost-efficient compared to calling separate analytics endpoints.
Side effects
- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, date, shot_count, coverage_seconds) cause validation errors
- Invalid date format (not YYYY-MM-DD) results in audit flagging or rejection
- Null or out-of-range numeric values may affect weighted mean calculation
- Payment not completed via x402 protocol results in 402 response and no reports returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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