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Returns Handling — Record Quality Audit + String Normalisation + Duplicate Key Report
x402
Returns Handling — Record Quality Audit + String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs three local analytical reports on up to 200 returns-handling rows: a record quality audit, string normalisation, and a duplicate key report, for returned_units and processing_minutes data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Returns handling — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied returns handling records (returned_units, processing_minutes). 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 highlighting missing, null, or out-of-range values in returned_units and processing_minutes; (2) a string normalisation report showing cleaned/standardised versions of text fields like store_group; (3) a duplicate key report identifying any repeated row_id values across the submitted rows. All reports are generated locally with no external lookups.
Example use cases
Retail returns data quality check
“I've got a batch of 50 returns records from our store groups with returned_units and processing_minutes — can you audit them for quality issues, normalise any messy store group strings, and flag any duplicate row IDs?”
Duplicate detection in processing logs
“Our returns processing team submitted 120 rows of data for October and I suspect some rows got entered twice — can you run a duplicate key report on them and also check for any quality problems in the returned_units and processing_minutes columns?”
Pre-import validation of returns file
“Before we import this returns handling CSV into our warehouse, can you normalise the string fields and give me a full record quality audit plus a duplicate key report for these 80 rows of returned_units and processing_minutes data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-04-192?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled data-quality operations (quality audit, string normalisation, duplicate detection) on returns handling records in a single low-cost call. It is ideal for pre-import validation of returns datasets, periodic data hygiene checks on store group returns data, or when you want all three reports for a fixed $0.01 fee rather than calling separate specialised endpoints. It does not perform live lookups, predictions, or external actions — pure local analytical processing only.
Side effects
- More than 200 rows submitted — request rejected with row limit error
- Missing required fields (row_id, date, returned_units, processing_minutes) — validation error per row
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Empty rows array — minItems violation error
- Malformed JSON body — parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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