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Damaged Stock — Numeric Interval Filter + Adjacent Row Changes
x402
Damaged Stock — Numeric Interval Filter + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Filters damaged stock records by a numeric interval and computes adjacent row changes for handled_units or damaged_units across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Damaged stock — Numeric interval filter + Adjacent row changes: Numeric interval filter + Adjacent row changes for supplied damaged stock records (handled_units, damaged_units). 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) rows from the supplied dataset where the selected field (handled_units or damaged_units) falls within the specified numeric minimum–maximum interval, and (2) adjacent row changes showing the delta between consecutive rows for that field — all computed locally without any external lookup or live data.
Example use cases
Spotting abnormal damage handling ranges
“Can you filter our damaged stock records to only show rows where damaged_units are between 5 and 100, and tell me how damaged_units shifted between consecutive rows? I'll supply the data: row-1 group-a 2026-11-01 handled=200 damaged=8, row-2 group-b 2026-11-02 handled=180 damaged=50, row-3 group-a 2026-11-03 handled=220 damaged=110.”
Daily delta tracking for store groups
“I need to see row-over-row changes in handled_units for our store groups, and also filter to rows where handled_units land between 100 and 500. Here's the data: row-1 store-east 2026-09-01 handled=120 damaged=3, row-2 store-west 2026-09-02 handled=450 damaged=7, row-3 store-east 2026-09-03 handled=600 damaged=2.”
Weekly damaged goods interval audit
“Run both reports — interval filter and adjacent row changes — on my weekly damaged stock log using the damaged_units field, filtering between 0 and 20. Data: row-1 dc-north 2026-10-07 handled=80 damaged=5, row-2 dc-south 2026-10-08 handled=95 damaged=22, row-3 dc-north 2026-10-09 handled=70 damaged=15.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-18-127?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of damaged stock records (with handled_units and damaged_units) and need both a numeric range filter and consecutive-row delta analysis in a single low-cost call. It is ideal for offline or batch retail inventory analysis where no live data lookup, prediction, or external action is required.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, store_group, handled_units, or damaged_units) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Minimum greater than maximum results in empty interval-filter output
- Null numeric values may affect adjacent-change calculations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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