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UV Layouts Data Quality Suite — Record Audit, String Normalisation & Deduplication
x402
UV Layouts Data Quality Suite — Record Audit, String Normalisation & Deduplication 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).
Runs three analytical reports on UV layout records: a record quality audit, string normalisation, and exact row deduplication, against fields island_count and occupied_percent.
Price / call$0.01
Success—
StatusUnknown
How this service works
UV layouts — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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 three independent reports: (1) a record quality audit flagging missing, null, or out-of-range values across all fields; (2) a string normalisation report showing transformed text fields such as asset_group; and (3) an exact row deduplication report identifying and listing duplicate rows. All reports are generated locally without external lookups.
Example use cases
Pre-pipeline UV layout data cleanup
“I have a batch of 80 UV layout records with island_count and occupied_percent values and I'm seeing some messy strings and possible duplicates — can you run a full quality audit, normalise all the text fields, and flag any exact duplicate rows before I load them into the database?”
Validating UV layout export before reporting
“Before I send this UV layout export to the client, can you check these 120 rows for data quality issues, make sure all the string fields are normalised, and confirm there are no duplicate entries across island_count and occupied_percent?”
Debugging bad UV layout ingestion
“Something went wrong in our UV layout ingestion pipeline and I think we have dirty data — can you audit these 35 records for quality problems, normalise the asset_group strings, and tell me if any rows are exact duplicates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-06-191?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, cost-effective data quality pass on UV layout records — specifically when you need all three operations (quality audit, string normalisation, and exact deduplication) run together in a single call for up to 200 rows. Ideal for pre-ingestion data cleaning or pre-reporting validation of UV layout datasets with island_count and occupied_percent metrics.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, island_count, occupied_percent) causes row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- Empty rows array returns an error
- Numeric values outside the allowed range trigger schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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