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Camera Coverage Data Quality Suite: Record Audit + String Normalisation + Adjacent Row Changes
x402
Camera Coverage Data Quality Suite: Record Audit + String Normalisation + Adjacent Row Changes 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 three local analytical reports on camera coverage records — record quality audit, string normalisation, and adjacent row changes — for up to 200 rows of shot_count or coverage_seconds data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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 independent analytical reports returned in one response: (1) a record quality audit flagging missing values, out-of-range entries, or structural issues; (2) a string normalisation report highlighting inconsistent or non-standard text values in fields like asset_group; (3) an adjacent row changes report showing value differences between consecutive rows for the selected field (shot_count or coverage_seconds). All computed locally with no external lookups.
Example use cases
Daily shoot log quality check
“I've got this week's camera shoot logs — 50 rows with shot counts and coverage seconds per asset group — can you audit them for record quality issues, normalise the asset group strings, and flag any big jumps between adjacent rows on the shot_count field?”
Post-production coverage anomaly detection
“We just wrapped a multi-day shoot and I need to check our coverage_seconds data across 120 rows for data quality problems, string inconsistencies in asset group names, and day-over-day coverage changes — can you run all three reports?”
Camera asset group string cleanup
“My camera coverage spreadsheet for group-a and group-b has messy asset group labels and I suspect some data quality issues in the shot_count column — can you run the record quality audit and string normalisation reports on these 30 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical passes — quality audit, string normalisation, and sequential change detection — on camera coverage records in a single low-cost call. It is ideal for media production pipelines, post-production data validation, or any workflow where shot_count and coverage_seconds data needs to be cleaned and checked for continuity without any external data lookups or predictions.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) causes row rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Numeric values outside the allowed range cause field-level errors
- Empty rows array rejected by minItems constraint
- Invalid field enum value (anything other than shot_count or coverage_seconds) causes a request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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