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Camera Coverage Record Quality Audit & Numeric Row Ordering
x402
Camera Coverage Record Quality Audit & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Audits record quality and applies numeric row ordering to camera coverage data (shot_count, coverage_seconds) for up to 200 rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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 2 independent reports: (1) a record quality audit identifying issues such as missing values, nulls, or anomalies in the shot_count and coverage_seconds fields across submitted rows, and (2) a numeric row ordering ranking the submitted rows by the selected field (shot_count or coverage_seconds). Covers up to 200 rows processed locally with no external lookups.
Example use cases
Daily shoot quality check
“I have today's camera coverage log with 80 rows — each row has a row_id, asset_group, date, shot_count, and coverage_seconds. Can you run a record quality audit and rank all the rows numerically by coverage_seconds so I can see which assets got the most coverage?”
Multi-group asset coverage ranking
“We finished a 3-day shoot with footage split across group-a and group-b. I have 150 rows of camera coverage data. Please audit the data quality and give me a numeric row ordering by shot_count so I can identify our best-performing camera setups.”
Sparse data detection in coverage logs
“Some of our camera coverage records might have missing or zero values for shot_count and coverage_seconds. Can you run a quality audit on my 60 rows of coverage data and produce a numeric ordering by coverage_seconds to help me spot the sparse entries?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular camera coverage records (with shot_count and coverage_seconds fields) and need both a data quality audit and a numeric ordering of those rows in a single low-cost call. It is ideal for post-shoot data validation workflows where you want to catch null or anomalous values and rank records by a coverage metric without any external lookup or live data dependency. Best suited for batches of up to 200 rows at a time.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Field selector value outside allowed enum (shot_count, coverage_seconds) causes rejection
- Empty rows array (minItems:1 violated) returns error
- Extremely large numeric values near limits may cause processing edge cases
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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