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Returns Handling — String Normalisation & Exact Row Deduplication
x402
Returns Handling — String Normalisation & Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Cleans and deduplicates up to 200 returns-handling records by normalising strings and removing exact duplicate rows, producing 2 independent analytical reports on returned_units and processing_minutes.
Price / call$0.01
Success—
StatusUnknown
How this service works
Returns handling — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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 analytical reports covering the cleaned dataset: one on returned_units and one on processing_minutes. Rows have been string-normalised and exact duplicates removed, with results covering up to 200 input records.
Example use cases
Retail returns data deduplication audit
“I've got 180 rows of returns handling records from our store groups covering last quarter — each row has a date, store_group, returned_units, and processing_minutes. Can you normalise the strings and strip out any exact duplicate rows, then give me the two analytical reports?”
Processing time cleanup for warehouse ops
“Our warehouse team exported returns processing logs with about 120 rows — there are definitely some duplicates and inconsistent string casing in the store_group field. Please normalise everything and deduplicate the rows, and send back reports on the returned_units and processing_minutes columns.”
Multi-store returns reconciliation prep
“Before I import our multi-store returns data into the dashboard, I need to clean 95 rows: normalise store_group strings and remove any exact duplicate entries across the date, returned_units, and processing_minutes fields. Can you run that and give me the two summary reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-04-020?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local-engine string normalisation and exact-row deduplication specifically for retail returns handling records (returned_units, processing_minutes) with up to 200 rows and want two bundled analytical reports at a fixed low cost — without needing live lookups, predictions, or external integrations.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, store_group) — validation error
- Malformed date format (not YYYY-MM-DD) — schema rejection
- Empty rows array — minimum 1 item required
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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