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Returns Handling — Record Quality Audit + Numeric Row Ordering
x402
Returns Handling — Record Quality Audit + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Audits data quality and applies numeric row ordering to up to 200 returns handling records (returned_units, processing_minutes), producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Returns handling — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied returns handling records (returned_units, processing_minutes). 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 reports: (1) a record quality audit identifying data quality issues, missing values, or anomalies across the supplied rows; and (2) a numeric row ordering ranking the records by the specified field (returned_units or processing_minutes). Both reports are produced locally with no external lookups.
Example use cases
Audit store returns data quality
“I've got a batch of returns records from four store groups with dates, returned_units, and processing_minutes. Can you run a quality audit on them and flag any issues so I know which rows have bad or missing data?”
Rank stores by processing speed
“Take these returns handling records and order the rows by processing_minutes so I can see which store groups are slowest and fastest at processing returns — I have about 150 rows from the past month.”
Pre-import data validation for returns pipeline
“Before I load these returned_units records into our warehouse, can you audit them for quality issues and also give me a numeric ordering by returned_units so I can sanity-check the distribution?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-04-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data quality audit and numeric ordering of returns handling records in a single call, and your data is self-contained (no live lookups needed). It is best suited for retail/e-commerce teams validating returns data before loading it into a warehouse or reporting pipeline, especially when records include returned_units and processing_minutes fields. Prefer alternatives if you need predictive analytics, external data enrichment, or reports beyond quality auditing and row ordering.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, returned_units, processing_minutes) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Null or out-of-range numeric values may be flagged in the quality audit report
- Supplying an invalid field enum value (not returned_units or processing_minutes) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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