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Order Picking Quality Audit & Secondary-Measure Weighted Mean
x402
Order Picking Quality Audit & 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 2026-11-02).
Runs two local analytical reports on order picking data: a record quality audit and a secondary-measure weighted mean, for up to 200 rows of picked_lines and picking_minutes data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Order picking — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied order picking records (picked_lines, picking_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 independent analytical reports: (1) a record quality audit identifying missing, null, or out-of-range values across the supplied rows, and (2) a secondary-measure weighted mean computed for the selected field (picked_lines or picking_minutes) using the other measure as the weight — all computed locally with no external lookups or predictions.
Example use cases
Warehouse picking data quality check
“I have a batch of order picking records from our distribution centers — can you audit the data quality and flag any issues across the picked_lines and picking_minutes columns for up to 50 rows from Q3?”
Weighted mean for picking performance
“Run a secondary-measure weighted mean on our picked_lines data across store groups for the last week — I need to understand the weighted average performance per group.”
Retail ops analytics for store comparison
“I've got picking records for two store groups over October 2026, about 100 rows total. Can you do a quality audit and compute a weighted mean on picking_minutes so I can compare efficiency?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-02-016?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have tabular order picking records (picked_lines, picking_minutes) and need both a data quality audit and a secondary-measure weighted mean in a single low-cost call. Ideal for retail or warehouse analytics pipelines where you want to validate data integrity and compute a weighted summary statistic without building custom analytics infrastructure. Best suited for batch sizes up to 200 rows per call.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, store_group, picked_lines, picking_minutes) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers schema rejection
- All values null for the selected field may produce undefined weighted mean
- Malformed JSON body returns HTTP 400
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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