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Camera Coverage Data Quality Suite: Record Audit, Deduplication & Change Detection
x402
Camera Coverage Data Quality Suite: Record Audit, Deduplication & Change Detection 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 analytical reports on camera coverage records (shot_count, coverage_seconds): record quality audit, exact row deduplication, and adjacent row change detection — all offline, up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + 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
Returns three independent reports: (1) a record quality audit identifying missing, null, or out-of-range values in the supplied camera coverage rows; (2) an exact row deduplication report listing duplicate row sets; (3) an adjacent row change report showing where consecutive rows differ in the selected field (shot_count or coverage_seconds). All analysis is performed locally with no external data lookup.
Example use cases
Pre-ingestion camera data validation
“I have 120 rows of camera coverage records with shot_count and coverage_seconds for various asset groups. Before I load them into our database, can you audit the record quality, remove exact duplicates, and show me where consecutive rows changed? Run the analysis on shot_count.”
Detecting duplicate shots in daily footage log
“Our daily footage log has 80 rows including shot_count and coverage_seconds per camera group. Can you check if any rows are exact duplicates and also tell me where shot_count values change between adjacent rows?”
Coverage data integrity check for post-production
“I'm reviewing coverage_seconds data across 150 camera records grouped by asset_group and date. Can you run a quality audit on the records, find any exact duplicates, and flag adjacent-row changes in coverage_seconds so I can spot inconsistencies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-217?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) offline triple-report on camera coverage tabular data — specifically when you want record quality auditing, exact deduplication, and adjacent-row change detection in a single call without any live data lookups or external integrations. Ideal for pre-ingestion validation pipelines, post-production data hygiene, or routine dataset audits of up to 200 rows.
Side effects
- Submitting more than 200 rows returns an error or truncation
- Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) causes validation rejection
- Invalid date format (non-YYYY-MM-DD) triggers a schema error
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems: 1 not met) returns an error
- Invalid field enum value (anything other than shot_count or coverage_seconds) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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