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Warehouse Bins Numeric Interval Filter + Adjacent Row Changes
x402
Warehouse Bins 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 2026-11-02).
Filters warehouse bin records (occupied_volume or available_volume) by a numeric range and detects adjacent row changes, returning 2 analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Warehouse bins — Numeric interval filter + Adjacent row changes: Numeric interval filter + Adjacent row changes for supplied warehouse bins records (occupied_volume, available_volume). 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 2 analytical reports based on the supplied data: (1) rows where the selected field (occupied_volume or available_volume) falls within the specified minimum–maximum numeric interval, and (2) a detection of changes between adjacent/consecutive rows in the dataset. No external data is fetched; all analysis is performed on the provided rows.
Example use cases
Identifying overfull bins in a store
“Here are 80 warehouse bin records from last month — filter the ones where occupied_volume falls between 200 and 800, and tell me where adjacent rows show changes in that metric.”
Available space threshold monitoring
“I've got bin data for 120 rows across store groups A and B — run an interval filter on available_volume between 0 and 50 and also detect any adjacent row changes so I can spot sudden drops.”
Retail inventory audit across date range
“Can you analyze these 60 warehouse bin records? I want to see which ones have occupied_volume between 15 and 300, and highlight where consecutive rows differ from each other.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-13-127?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected warehouse bin records (up to 200 rows) and need two specific local analyses — numeric interval filtering and adjacent row change detection — on volume fields. It is ideal for offline/batch analytical workflows where data is already in hand and no live lookup or external enrichment is needed. Prefer alternatives if you need real-time bin status, predictions, or more than 2 report types in a single call.
Side effects
- Input rows array is empty or exceeds 200 items — validation error
- Required fields (row_id, date, occupied_volume, available_volume) missing from row objects — schema validation failure
- Date field does not match YYYY-MM-DD pattern — rejected input
- Minimum value greater than maximum value — may return empty interval filter results
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Malformed JSON payload — HTTP 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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