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UV Layouts Data Audit — Record Quality, String Normalisation & Grouped Numeric Summary
x402
UV Layouts Data Audit — Record Quality, String Normalisation & Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Runs three analytical reports on UV layout records: a record quality audit, string normalisation, and grouped numeric summary for island_count or occupied_percent fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
UV layouts — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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
Three independent analytical reports: (1) a record quality audit flagging missing values, malformed dates, and data integrity issues; (2) a string normalisation report cleaning and standardising asset_group and other string fields; and (3) a grouped numeric summary of the selected field (island_count or occupied_percent) broken down by asset group. All computed locally from supplied data with no external lookups.
Example use cases
UV layout data quality check
“I have 50 UV layout records with island_count and occupied_percent values across multiple asset groups — can you run a full record quality audit and string normalisation on them and summarise the island_count field grouped by asset group?”
Occupied percent group analysis
“Please analyse my UV layout dataset of about 80 rows — run the quality audit, normalise the asset_group strings, and give me a grouped numeric summary of the occupied_percent values across all groups.”
Pre-pipeline UV data validation
“Before I feed these UV layout records into my pipeline, can you audit their quality, clean up any string inconsistencies in asset_group, and give me a grouped summary of island_count? I have around 120 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-06-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous analytical passes — quality audit, string normalisation, and grouped numeric summary — on UV layout records (island_count, occupied_percent) in a single low-cost call. Ideal for pre-processing or validation workflows where UV layout data quality matters and no external data enrichment or prediction is required.
Side effects
- Exceeding 200-row limit returns an error or truncation
- Missing required fields (row_id, date, island_count, occupied_percent) cause validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in numeric fields may affect grouped summary completeness
- Selecting an invalid field enum value returns a schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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