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Warehouse Bins — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Warehouse Bins — Adjacent Row Changes + 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).
Computes adjacent-row delta changes and a secondary-measure weighted mean for warehouse bin occupancy and availability volume data, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Warehouse bins — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied warehouse bins records (occupied_volume, available_volume). 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 analytical reports: (1) an adjacent row changes report showing delta values between consecutive records for the selected field (occupied_volume or available_volume), and (2) a secondary-measure weighted mean report that uses one measure to weight the average of the other, across all supplied warehouse bin rows (up to 200).
Example use cases
Warehouse bin occupancy drift tracking
“I have 120 warehouse bin records with dates, store groups, occupied_volume, and available_volume. Can you calculate the row-over-row changes in occupied_volume and also give me a secondary-measure weighted mean so I can see how bin utilization is drifting over time?”
Available volume weighted mean for logistics review
“For our weekly logistics review I need two reports on these bin records — adjacent row deltas and a weighted mean — focusing on available_volume across our store groups. I've got about 80 rows to analyze.”
Spot-checking sudden bin capacity shifts
“We had a suspected data anomaly in our warehouse bins last month. Can you run adjacent row change calculations on these 35 bin records using occupied_volume so I can spot where the sudden shifts occurred, and also compute a secondary-measure weighted mean for context?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-13-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured warehouse bin records with occupied and available volume measurements and need both a row-over-row delta series and a secondary-measure weighted mean in a single low-cost call. It is ideal for offline or batch analytical processing of up to 200 rows where no live inventory lookup, prediction, or external data enrichment is needed. Prefer this over generic analytics tools when you want two complementary statistical reports from a single $0.01 USDC payment.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, occupied_volume, available_volume) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in both measure fields making weighted mean undefined — computation error or NaN result
- Empty rows array — minimum 1 item required, returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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