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Purchase Orders Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Purchase Orders Numeric Row Ordering + 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).
Ranks purchase order rows by a numeric field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Purchase orders — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean for supplied purchase orders records (ordered_amount, received_amount). 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) the input purchase order rows sorted/ranked by the selected numeric field in ascending or descending order, and (2) a weighted mean value of the secondary measure computed using the primary field as weights — both derived from the supplied rows without any external lookups.
Example use cases
Rank POs by order size
“I have 50 purchase order records across our store groups from last quarter — each has a row ID, store group, date, ordered amount, and received amount. Can you rank all the rows numerically by ordered_amount and also compute the weighted mean of received_amount using ordered_amount as the weights?”
Fulfillment rate weighted summary
“Here are 120 purchase order rows for our retail locations. I want to understand which rows rank highest by received_amount and get a weighted average of ordered_amount weighted by received_amount — can you run both reports on this data?”
Store group PO analytics
“We have purchase order data for two store groups over the past month — about 80 rows with ordered and received quantities. Please rank those rows by received_amount and give me the secondary-measure weighted mean using received_amount as the field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-19-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric row ranking and a weighted mean statistic on purchase order data in a single API call for up to 200 rows, and you want a low-cost ($0.01 USDC) batch computation with no external data dependencies. Ideal for retail supply chain analytics pipelines that process PO fulfillment data locally without needing live lookups or predictions.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, ordered_amount, received_amount) — schema validation failure
- Invalid date format not matching YYYY-MM-DD pattern — rejected
- Null values in both numeric fields for all rows — weighted mean undefined
- Invalid field enum value other than 'ordered_amount' or 'received_amount' — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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