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Returns Handling — Numeric Row Ordering + Keyed Dataset Comparison
x402
Returns Handling — Numeric Row Ordering + Keyed Dataset Comparison 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).
Ranks returns-handling rows numerically and compares two keyed datasets of returned_units or processing_minutes data, delivering two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Returns handling — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + Keyed dataset comparison 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 analytical reports: (1) a numeric row ordering of the supplied primary dataset ranked by the chosen field (returned_units or processing_minutes), and (2) a keyed comparison between the primary and secondary dataset highlighting differences per row_id. No predictions or external lookups — all analysis runs on supplied data only, up to 200 rows per dataset.
Example use cases
Week-over-week returns volume comparison
“I have last week's and this week's returns data for all our store groups — rank both sets of rows by returned_units and compare the two datasets so I can see which rows changed and by how much.”
Processing time ranking across store groups
“Can you take these two batches of processing_minutes records from our returns centers, rank each row numerically, and do a keyed comparison between the two datasets to see where times diverged?”
Post-promotion returns spike analysis
“After our big sale event we saw a spike in returns — here are the pre-sale and post-sale returns datasets, each with returned_units and processing_minutes. Please rank them and compare them keyed by row_id so we can isolate where the spike hit hardest.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-04-123?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two tabular returns-handling datasets (up to 200 rows each) and need both a numeric ordering of rows and a key-based diff between them — without requiring any live data, external enrichment, or prediction. Ideal for retail operations teams comparing returns volume or processing time across periods, store groups, or before/after events.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, returned_units, processing_minutes) causing validation error
- Invalid date format (must match YYYY-MM-DD pattern)
- Mismatched row_ids between primary and comparison datasets reducing comparison coverage
- Null numeric values in the selected field reducing ranking quality
- Empty rows array returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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