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Camera Coverage Record Quality Audit + IQR Outlier Flags
x402
Camera Coverage Record Quality Audit + IQR Outlier Flags 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 two analytical reports on supplied camera coverage records: a record quality audit and IQR-based outlier detection for shot_count or coverage_seconds fields, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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 two independent analytical reports for the submitted rows: (1) a record quality audit identifying missing, malformed, or suspicious values across the dataset, and (2) IQR outlier flags identifying rows where the selected numeric field (shot_count or coverage_seconds) falls outside the interquartile range bounds. Results are computed locally with no external lookups.
Example use cases
Daily camera shoot data QC
“I just pulled 120 rows of daily camera shoot records with shot counts and coverage seconds by asset group — can you run a quality audit and flag any IQR outliers in the shot_count field so I can catch bad data before reporting?”
Outlier detection for coverage seconds
“We have 80 camera coverage records from last month across several asset groups. Can you check them for data quality issues and identify any IQR outliers specifically in the coverage_seconds field?”
Pre-analysis data validation for camera assets
“Before I run my analysis, I need to validate these 200 camera coverage rows for record quality problems and flag statistical outliers in the shot_count field — can you do both audits at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-014?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, low-cost, offline statistical quality auditing of camera coverage tabular data — specifically when you want both a general record quality audit and IQR-based outlier detection in a single call for up to 200 rows. Ideal for pre-analysis data validation pipelines, media production data QC workflows, or any scenario where you need to catch bad or anomalous camera coverage records without relying on external lookups or live data sources.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- All-null values in the selected field may prevent IQR computation
- Malformed JSON input returns error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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