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Returns Handling Analytics — Numeric Distribution & Date-by-Category Pivot
x402
Returns Handling Analytics — Numeric Distribution & Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Computes two statistical reports (numeric distribution and date-by-category pivot) 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 — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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 local analytical reports: (1) a numeric distribution for the selected field (returned_units or processing_minutes) showing statistical spread across all supplied rows, and (2) a date-by-category pivot breaking down the same field by date and store_group category — both computed from the supplied data with no external lookups.
Example use cases
Returns volume distribution by store group
“I have 120 rows of returns data from our three store groups — North, South, and Online — with dates and returned_units counts for each row. Can you run a numeric distribution and a date-by-category pivot on the returned_units field so I can see how return volumes are spread across groups and over time?”
Processing time outlier investigation
“We track how many minutes it takes to process each return at our fulfillment centers. I have 80 records with row IDs, store_group labels, dates, and processing_minutes values. Please compute the numeric distribution and date-by-category pivot for processing_minutes so I can spot which groups or dates have unusually long processing times.”
Monthly returns trend pivot for retail report
“I'm preparing a monthly retail operations report and need to analyze about 200 returns records from October. Each row has a store_group, a date, returned_units, and processing_minutes. Can you produce a numeric distribution plus a date-by-category pivot on returned_units so I have the stats I need for the report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-04-083?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 returns handling records and need both a statistical numeric distribution and a date-by-category pivot in a single low-cost call. Ideal for retail operations teams doing offline/batch analytics on supplied data without needing live data access, predictions, or external enrichment. At $0.01 USDC for two reports, it is cost-effective for routine periodic analysis of returns metrics.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds row limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Unknown field value outside enum [returned_units, processing_minutes] — schema validation error
- Missing required fields (row_id, store_group, date) — validation failure
- Null numeric values in selected field may produce incomplete distribution statistics
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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