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UV Layouts Data Quality Audit, String Normalisation & Numeric Interval Filter
x402
UV Layouts Data 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 2026-10-27).
Audits record quality, normalises strings, and filters by numeric interval for UV layout records containing island_count and occupied_percent fields — up to 200 rows, 3 bundled reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
UV layouts — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied uv layouts records (island_count, occupied_percent). 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 analytical reports for the supplied UV layout rows: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalisation report for text fields such as asset_group; and (3) a numeric interval filter report identifying rows where the chosen field (island_count or occupied_percent) falls within the specified minimum–maximum range. All analysis is performed locally on the submitted data with no external lookups.
Example use cases
UV layout pipeline data validation
“I've got 120 UV layout records from our last export with island_count and occupied_percent fields. Can you audit them for quality issues, normalise the string fields like asset_group, and filter to only rows where island_count is between 5 and 500?”
Occupied percent range quality check
“Run a quality audit and numeric filter on these 80 UV layout rows — I want to flag any records where occupied_percent falls outside 0 to 100, and also clean up the string fields.”
Asset group string cleanup before import
“Before I import these 200 UV layout rows into our system, can you audit record quality, normalise the asset_group and row_id strings, and filter out any entries where island_count is below 1?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-06-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and numeric range filtering — on UV layout tabular data with island_count and occupied_percent metrics, in a single low-cost call. It is best suited for offline/batch validation of exported or pipeline data rather than real-time or predictive analytics. Prefer this over separate single-purpose endpoints when you want all three reports in one round-trip for up to 200 rows.
Side effects
- Empty rows array — minimum 1 row required
- More than 200 rows submitted — exceeds maximum batch size
- Invalid date format — must match YYYY-MM-DD pattern
- row_id missing or empty — required field
- minimum greater than maximum — invalid interval configuration
- Numeric values outside allowed range (-1e12 to 1e12)
- field enum value not one of island_count or occupied_percent
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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