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Inventory Administration Analytics — Base-100 Series + Date-by-Category Pivot
x402
Inventory Administration Analytics — Base-100 Series + 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 2026-10-23).
Generates two analytical reports (a Base-100 index series and a date-by-category pivot table) from supplied inventory administration data covering count_sessions and discrepancy_count metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory administration — Base-100 series + Date by category pivot: Base-100 series + 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 Base-100 index series showing each row's selected metric (count_sessions or discrepancy_count) normalized relative to the designated base row, and (2) a date-by-category pivot table cross-tabulating the selected metric by date and team_group. Covers up to 200 input rows using local analytical computation with no external data lookups.
Example use cases
Warehouse session trend indexing
“I have 4 months of inventory count session data across two warehouse teams and I want to see how performance has trended — can you index all the count_sessions values to base-100 starting from the first row and also give me a pivot by date and team?”
Discrepancy audit pivot report
“Run a discrepancy_count pivot by date and team_group on this inventory audit data I'm uploading — I need both the base-100 series and the cross-tab pivot, using discrepancy_count as the field and row index 0 as the baseline.”
Multi-team inventory comparison
“I want to compare how group-a and group-b have performed over the last quarter in terms of inventory session counts. Can you produce a base-100 indexed series and a date-by-category breakdown using count_sessions, anchored at the first row?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-21-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of inventory administration data with team/group and date dimensions and need both a normalized trend index (base-100 series) and a categorical pivot in a single low-cost call. It is a local computation service — no internet lookups, predictions, or external integrations — making it ideal for self-contained batch analytics on structured inventory records.
Side effects
- More than 200 rows submitted — endpoint rejects with validation error
- Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) cause schema validation failure
- Invalid date format (not YYYY-MM-DD) causes rejection
- base_index out of range (>=number of rows) may cause division or index error
- Null values in the selected metric field may produce null entries in series output
- Field enum value not in ['count_sessions','discrepancy_count'] causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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