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Inventory Administration — Secondary-Measure Weighted Mean + Date-by-Category Pivot
x402
Inventory Administration — Secondary-Measure Weighted Mean + Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Computes a secondary-measure weighted mean and a date-by-category pivot table for supplied inventory administration records (count_sessions, discrepancy_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory administration — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot for supplied inventory administration records (count_sessions, discrepancy_count). 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) a secondary-measure weighted mean for the selected field (count_sessions or discrepancy_count) and (2) a date-by-category pivot table breaking values down by date and team_group, both computed locally against the supplied rows without any external data lookup.
Example use cases
Team discrepancy trend pivot
“Take these inventory records across group-a and group-b from October 2026 and pivot the discrepancy_count by date and team group, plus give me the weighted mean of discrepancy counts weighted by session volume.”
Session volume weighted average by team
“I have 50 rows of inventory administration data with team groups and daily session counts — run a weighted mean analysis on count_sessions and also produce a date-by-category pivot so I can see how each team performed over time.”
Inventory operations statistical summary
“Here are our weekly inventory records for four teams spanning Q4 — compute the secondary-measure weighted mean for count_sessions and a date-by-category pivot for discrepancy_count so I can spot which teams had the most anomalies on which days.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-21-185?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 inventory administration records with session counts and discrepancy counts and need both a weighted mean statistical summary and a date-by-category pivot in a single paid call. It is ideal for offline/batch analytics on supplied data without requiring external data sources, predictions, or live lookups. It is not suitable for real-time inventory monitoring, forecasting, or datasets exceeding 200 rows.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema rejection
- All numeric values null — weighted mean undefined
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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