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Camera Coverage Record Quality Audit, String Normalisation & Numeric Interval Filter
x402
Camera Coverage Record Quality Audit, String Normalisation & Numeric Interval Filter 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).
Audits quality, normalises strings, and filters by numeric interval for up to 200 camera coverage records containing shot_count and coverage_seconds fields, returning 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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 3 independent reports for the supplied rows: (1) a record quality audit highlighting missing, null, or malformed values; (2) a string normalisation report for fields like asset_group and date; and (3) a numeric interval filter report identifying rows where the selected numeric field (shot_count or coverage_seconds) falls outside the specified minimum/maximum range. All processing is local and analytical with no external lookups.
Example use cases
Pre-import data quality check
“Before I load these 150 camera coverage records into our database, can you run a quality audit on them, normalise the asset_group strings, and flag any rows where coverage_seconds is outside 0 to 3600? The rows have row_id, asset_group, date, shot_count, and coverage_seconds fields.”
Filtering anomalous shot counts
“I have a batch of 80 camera coverage log entries and I want to filter out any rows where shot_count is outside the range 10 to 5000 — can you also clean up the string fields and give me a quality report while you're at it?”
Coverage data normalisation for reporting
“We're preparing a weekly coverage report from 200 raw camera records. Can you normalise the asset_group names, audit the overall data quality, and filter coverage_seconds to only keep rows between 60 and 7200 so we can use clean data in our summary?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data quality audit, string normalisation, and numeric range filter for camera coverage records (shot_count, coverage_seconds) in a single low-cost call. It is ideal for pre-processing batches of up to 200 camera log rows before import or reporting, where no live data lookup or external prediction is needed. Prefer alternatives if you need real-time camera feeds, predictive analytics, or processing more than 200 rows at once.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Invalid field enum value (not shot_count or coverage_seconds) — request error
- Empty rows array — minimum items constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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