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Returns Handling — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Returns Handling — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill 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).
Computes a secondary-measure weighted mean and fills missing values for retail 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 — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill 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 per call: a secondary-measure weighted mean result and an explicit missing-value-filled dataset for the chosen field (returned_units or processing_minutes), computed locally over up to 200 supplied rows with no external lookups.
Example use cases
Retail returns volume weighted analysis
“I have 120 rows of daily returns data across our store groups with some missing returned_units values — can you compute the secondary-measure weighted mean for returned_units and fill the gaps using mean imputation?”
Processing time aggregation with null fill
“Can you analyze my returns processing_minutes records across 80 rows, fill any missing values using zero, and give me the weighted mean report?”
Multi-store returns audit with imputation
“I need two reports on my returns handling data — about 150 rows across group-a and group-b — compute the weighted mean for returned_units and fill missing entries with the median.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-04-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local statistical computation — specifically a secondary-measure weighted mean plus explicit missing-value fill — for retail returns handling data (returned_units, processing_minutes) with up to 200 rows and no need for live data lookup or external prediction. It delivers two bundled reports for a flat $0.01 USDC, making it cost-effective for small-to-medium batch analytics on returns records.
Side effects
- More than 200 rows submitted — request exceeds row limit
- Invalid date format (must be YYYY-MM-DD) causes validation error
- Missing required fields (row_id, store_group, date) cause schema rejection
- Numeric values outside allowed range trigger validation failure
- Invalid enum value for field or method parameter causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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