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UV Layouts Data Quality Audit, String Normalisation & Daily Sum Series
x402
UV Layouts Data Quality Audit, String Normalisation & Daily Sum Series 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 offline analytical reports on UV layout records — record quality audit, string normalisation, and daily sum series — for up to 200 rows of island_count and occupied_percent data.
Price / call$0.01
Success—
StatusUnknown
How this service works
UV layouts — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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 analytical reports for the supplied UV layout rows: (1) a record quality audit flagging anomalies or missing values, (2) a string normalisation report standardising text fields like asset_group, and (3) a daily sum series aggregating the chosen numeric field (island_count or occupied_percent) by date. All reports are computed locally with no external lookups.
Example use cases
Occupancy data quality check
“I have a batch of UV layout records with island_count and occupied_percent values across several asset groups — can you audit them for quality issues, normalise any strings, and give me daily sums for island_count? I'll supply up to 50 rows dated from 2026-10-01 onwards.”
Daily sum series for occupied percent
“Run a daily sum series on my UV layout table using occupied_percent as the field — I have 30 rows across group-a and group-b from October 2026, and I also want the record quality audit and string normalisation reports at the same time.”
Batch UV layout validation before reporting
“Before I send my UV layout dataset to the client, can you run all three reports — record quality audit, string normalisation, and daily sum series — on my 120 rows? The field I care about most is island_count.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-06-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled offline analytical reports — quality audit, string normalisation, and daily aggregation — on UV layout records in a single low-cost call. It is ideal for pre-reporting data validation pipelines, occupancy dataset cleaning, and time-series summarisation where no live lookup or external data enrichment is needed.
Side effects
- Exceeding 200 rows returns a validation error
- Rows missing required fields (row_id, date, island_count, occupied_percent) are rejected
- Dates not matching YYYY-MM-DD pattern cause schema validation failure
- Invalid field enum value (anything other than island_count or occupied_percent) results in an error
- Empty rows array is rejected by minItems:1 constraint
- Payment of 0.01 USDC not included causes HTTP 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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