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Inventory Administration — Numeric Interval Filter + Date by Category Pivot
x402
Inventory Administration — Numeric Interval Filter + 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 2026-10-30).
Filters inventory administration rows by a numeric interval on a chosen field and produces a date-by-category pivot table, returning two analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory administration — Numeric interval filter + Date by category pivot: Numeric interval filter + 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 independent analytical reports: (1) rows from the supplied dataset whose chosen numeric field (count_sessions or discrepancy_count) falls within the specified minimum–maximum interval, and (2) a pivot table cross-tabulating the chosen numeric field by date and team_group category. Both reports are computed locally from the caller-supplied data with no external lookups.
Example use cases
Flag sessions outside expected range
“Here are 150 rows of daily inventory data with team_group, date, count_sessions, and discrepancy_count. Give me a report of only the rows where count_sessions falls between 5 and 50, filtering on count_sessions, plus a pivot of those sessions broken down by date and team group.”
Audit discrepancy spikes by category
“I have inventory administration records for four team groups across Q4 2026. Run a numeric interval filter on discrepancy_count between 0 and 3, and also pivot discrepancy_count by date and team group so I can see where spikes are occurring.”
Validate session volume for ops review
“Here's my ops data — about 80 rows, each with a row_id, team_group, date, count_sessions, and discrepancy_count. Filter to rows where count_sessions is between 12 and 30, and also generate a date-by-category pivot on count_sessions so I can present both views to the operations team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-21-133?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 inventory administration records in hand and need both a numeric range filter (to isolate rows within a specific count window) and a date-by-category pivot table in a single paid call. It is ideal for operations or inventory analysts who want two complementary views — filtered detail rows plus a cross-tabulated summary — without writing custom code or standing up a database. Prefer it over general-purpose analytics APIs when your data is already structured with row_id, team_group, date, count_sessions, and discrepancy_count fields and you want reproducible, local computation at low cost.
Side effects
- Rows array is empty or missing — returns validation error
- More than 200 rows supplied — request rejected at max limit
- minimum value exceeds maximum value — may return empty filter result or error
- Invalid date format (not YYYY-MM-DD) in any row — schema validation failure
- Unknown field enum value provided — rejected by schema
- Null numeric values may be excluded from interval filtering
- Payment of 0.01 USDC not confirmed — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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