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Returns Handling — Record Quality Audit + Adjacent Row Changes
x402
Returns Handling — Record Quality Audit + Adjacent Row Changes 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 two local analytical reports (record quality audit and adjacent row changes) on supplied returns handling data (returned_units, processing_minutes) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Returns handling — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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
Returns two structured analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or format problems in the selected field across all supplied rows; and (2) an adjacent row changes report showing row-over-row deltas for the selected metric (returned_units or processing_minutes), scoped to up to 200 input rows. No external lookups or predictions are made.
Example use cases
Retail returns data quality check
“I have a batch of returns records for our two store groups from last month — can you audit them for data quality issues and show me how returned_units changed row by row? I'll send you up to 50 rows.”
Detecting processing time anomalies
“Run a quality audit and adjacent row changes report on my returns processing data, focusing on the processing_minutes field. I want to catch any nulls, bad values, or big jumps between consecutive rows across our store groups.”
Pre-reporting returns data validation
“Before I hand off this returns dataset to the analytics team, can you do a record quality audit and check for row-over-row changes in returned_units? It's about 150 rows covering multiple store groups and dates in 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-04-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of returns handling records (up to 200 rows) and need two complementary local reports — a quality audit and adjacent row change detection — computed cheaply ($0.01 USDC) without any external API calls, live lookups, or predictions. Prefer it over general-purpose analytics tools when you specifically need both data quality validation and row-over-row delta analysis on returned_units or processing_minutes fields in a retail returns context.
Side effects
- Input array exceeds 200 rows — request rejected or truncated
- Missing required fields (row_id, store_group, date, returned_units, processing_minutes) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range cause validation failure
- Empty rows array returns error
- Invalid field enum value (not returned_units or processing_minutes) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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