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Warehouse Bins String Normalisation and Keyed Dataset Comparison
x402
Warehouse Bins String Normalisation and Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).
Normalises strings and compares two keyed warehouse bin datasets (occupied_volume, available_volume) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Warehouse bins — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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
Two analytical reports: (1) a string normalisation report showing cleaned and standardised field values (e.g. store_group names) and (2) a keyed dataset comparison report highlighting row-by-row differences in occupied_volume and available_volume between the two supplied datasets, covering up to 200 rows each.
Example use cases
Month-over-month bin utilisation reconciliation
“I have warehouse bin data from September and October — each row has a row_id, store_group, date, occupied_volume, and available_volume. Can you normalise the store group strings and compare the two months to show me where utilisation changed?”
Detect data entry inconsistencies across two exports
“We pulled warehouse bin records from two systems and I think the store_group names are inconsistent. Can you normalise the strings and do a keyed comparison of occupied_volume and available_volume across both exports to find mismatches?”
Audit bin capacity changes between inventory snapshots
“Here are two snapshots of our warehouse bins — before and after a restocking run — each with up to 150 rows including row_id, store_group, date, occupied_volume, and available_volume. Run a string normalisation and keyed dataset comparison so I can see exactly what changed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-13-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two keyed warehouse bin datasets (with occupied_volume and available_volume fields) and need both string normalisation and a structured comparison in a single call at low cost ($0.01 USDC for both reports). Ideal for offline batch reconciliation, data quality audits, and snapshot diffing of up to 200 rows without requiring live external lookups.
Side effects
- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, store_group, date, occupied_volume, available_volume) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- No live lookup or external data enrichment available — only supplied data is analysed
- Numeric values outside allowed range (-1e12 to 1e12) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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