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Camera Coverage String Normalisation and IQR Outlier Flags
x402
Camera Coverage String Normalisation and 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).
Normalises string fields and flags IQR-based outliers in camera coverage records (shot_count, coverage_seconds) for up to 200 rows with 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — String normalisation + IQR outlier flags: String normalisation + 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
Two independent analytical reports per call: one covering string normalisation of the supplied camera coverage fields (asset_group, date, row_id), and one flagging IQR-based outliers in the selected numeric field (shot_count or coverage_seconds), applied across up to 200 submitted rows. No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
Outlier detection in daily shot counts
“I have 50 rows of daily camera coverage data with shot_count and coverage_seconds across several asset groups — can you run string normalisation and IQR outlier flagging on the shot_count field so I can spot any anomalous shooting days?”
Coverage seconds anomaly check for post-production
“We're reviewing camera footage allocation and I need to check our coverage_seconds records for statistical outliers — can you normalise the strings and flag IQR anomalies across these 120 rows of camera asset data?”
QA audit of multi-group camera records
“Before we archive these camera records, can you run IQR outlier detection and string normalisation on both shot_count and coverage_seconds across our 80-row dataset spanning group-a and group-b assets from last quarter?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-032?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline statistical quality checks on camera coverage tabular data — specifically IQR-based outlier detection combined with string normalisation — without any external API calls, predictions, or professional assessments. It is well-suited for pre-archive QA, production data audits, or pipeline data cleaning steps where up to 200 rows of camera shot and coverage records need to be validated cheaply ($0.01 USDC for 2 reports).
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Invalid field enum value (anything other than shot_count or coverage_seconds) causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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