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Returns Handling Data Quality Suite — Audit, Normalise & Deduplicate
x402
Returns Handling Data Quality Suite — Audit, Normalise & Deduplicate 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).
Runs three local analytical reports on returns handling records: a record quality audit, string normalisation, and exact row deduplication — for up to 200 rows of returned_units and processing_minutes data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Returns handling — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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 covering: (1) a record quality audit flagging missing, null, or out-of-range values in returned_units and processing_minutes; (2) a string normalisation report identifying and correcting inconsistent string formatting in fields like store_group; and (3) an exact row deduplication report identifying perfectly duplicated rows across all fields. All processing is performed locally with no external lookups.
Example use cases
Pre-analysis returns data cleanup
“I've got 120 rows of store returns data with returned_units and processing_minutes per store group and date — can you run a quality audit plus deduplicate any exact duplicate rows before I load it into my dashboard?”
Detecting dirty strings in returns records
“Our returns processing pipeline has inconsistent store group names — things like extra spaces and mixed casing — can you normalise the strings in these 80 returns records and also flag any quality issues in the returned_units column?”
Monthly returns reconciliation hygiene
“Before I send the monthly returns report to finance, can you check these 200 rows for duplicate records, run a full quality audit, and normalise any string fields — the data has returned_units and processing_minutes by store group and date?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-04-191?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous data hygiene operations — quality auditing, string normalisation, and exact deduplication — on retail returns handling records in a single low-cost call. It is ideal for pre-processing pipelines where returned_units and processing_minutes data needs to be cleaned before analysis or reporting. Prefer this over general-purpose data tools when your dataset is under 200 rows and you want bundled reports without external data lookups or predictions.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Malformed date strings not matching YYYY-MM-DD pattern — validation error
- Missing required fields (row_id, store_group, date, returned_units, processing_minutes) — schema validation failure
- Empty rows array — minimum 1 item required
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection
- Payment not included or insufficient USDC — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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