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Returns Handling Analytics — Exact Row Deduplication + Secondary-Measure Weighted Mean
x402
Returns Handling Analytics — Exact Row Deduplication + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Deduplicates exact rows and computes a secondary-measure weighted mean for returns handling records (returned_units, processing_minutes) across up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Returns handling — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + Secondary-measure weighted mean 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 covering: (1) exact row deduplication results identifying and removing fully duplicate records from the submitted dataset, and (2) a secondary-measure weighted mean calculation using the chosen field (returned_units or processing_minutes) as the weighting basis — all computed locally from the supplied rows with no external lookups.
Example use cases
Returns data deduplication for retail chain
“I've got 150 rows of returns handling records across our store groups with row_id, date, store_group, returned_units, and processing_minutes — please deduplicate any exact duplicate rows and give me the weighted mean report using returned_units as the primary field.”
Processing time weighted average by return volume
“Can you take my returns log of 80 rows (each has row_id, store_group, date, returned_units, processing_minutes) and run the deduplication plus secondary-measure weighted mean analysis using the processing_minutes field?”
Multi-store returns quality audit
“We have daily returns records from multiple store groups spanning October 2026 — around 200 rows total with row_id, store_group, date, returned_units, and processing_minutes. Run the exact-row deduplication and weighted mean computation on returned_units so we can audit data quality and summarize performance.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-04-051?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact-row deduplication and a secondary-measure weighted mean computed together on retail returns handling data in a single call. It is specifically scoped to datasets with returned_units and processing_minutes fields, making it ideal for retail operations analytics workflows. Prefer this over general-purpose analytics tools when working within the x402 micropayment ecosystem and needing deterministic, local computation without external data dependencies.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, store_group, date, returned_units, processing_minutes) causes a schema validation failure
- Invalid date format (non YYYY-MM-DD) triggers a pattern mismatch error
- Empty rows array returns a minItems validation error
- Null values in both measure fields may produce undefined weighted mean results
- Payment not included or insufficient USDC causes a 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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