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Inventory Administration Analytics — Grouped Summary & Trailing Mean Series
x402
Inventory Administration Analytics — Grouped Summary & Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Computes a grouped numeric summary and a trailing moving-average series for inventory administration session and discrepancy data across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory administration — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series 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 reports: (1) a grouped numeric summary of count_sessions or discrepancy_count broken down by team_group (e.g. count, mean, min, max per group), and (2) a trailing moving-average series over the selected numeric field using the specified window size, computed locally without any external lookups or predictions.
Example use cases
Team discrepancy trend analysis
“I have 120 rows of inventory admin data with daily discrepancy counts for three team groups over the past quarter — can you give me a grouped summary by team and a trailing 7-day moving average for discrepancy_count?”
Session volume rollup by group
“I need a grouped numeric summary and a rolling mean with window size 3 for count_sessions across my inventory records — here are 80 rows tagged by team_group and date.”
Weekly operations review prep
“Pull together a grouped summary and a 5-period trailing mean for our inventory session counts — I'll give you 200 rows of admin records split across four team groups so I can present it at the weekly ops review.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-21-090?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected inventory administration records (sessions and discrepancies) and need both a group-level aggregate summary and a rolling mean time series in a single low-cost call. It is ideal for offline batch analytics on up to 200 rows without requiring a live database, external API, or predictive model — just structured row data passed directly.
Side effects
- Fewer than 1 row or more than 200 rows provided — request rejected
- Invalid date format (non YYYY-MM-DD) causes row-level validation failure
- Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) cause schema errors
- Window size outside range 2–200 returns an error
- Null values in numeric fields may reduce effective sample size in mean calculations
- Invalid field enum value (anything other than count_sessions or discrepancy_count) rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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