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Warehouse Bins Record Quality Audit + Exact Row Deduplication
x402
Warehouse Bins Record Quality Audit + Exact Row Deduplication 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).
Runs two analytical reports on warehouse bin records — a data quality audit and exact row deduplication — for up to 200 rows of occupied/available volume data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Warehouse bins — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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 independent analytical reports: (1) a record quality audit identifying data issues such as missing values, out-of-range numbers, or malformed dates in the warehouse bin rows; and (2) an exact row deduplication report listing which rows are exact duplicates of one another. Both reports are generated from the supplied data using local analytical engines with no external lookups.
Example use cases
Pre-load data validation for warehouse system
“Before I import this warehouse bin dataset into our inventory system, can you audit it for quality issues and flag any exact duplicate rows? I have 120 records with store group, date, occupied_volume, and available_volume columns.”
Retail chain bin data cleanup
“I've pulled warehouse bin records for our retail stores — about 80 rows covering multiple store groups and dates with occupied and available volume figures. Can you run a quality audit and deduplicate them so I know what's clean?”
Monthly inventory reconciliation check
“I need to reconcile our warehouse bin data for October — I have 150 rows across two store groups with dates, occupied volume, and available volume. Can you check them for data quality problems and identify any exact duplicate records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-13-002?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have warehouse bin records (with occupied_volume and available_volume fields) and need both a data quality audit and exact deduplication in a single low-cost call. It is ideal for pre-processing pipelines before loading bin data into inventory systems, or for periodic data hygiene checks on retail warehouse datasets of up to 200 rows. It does not perform live lookups, predictions, or external integrations — use it purely for offline analytical validation of supplied data.
Side effects
- Exceeding 200 rows will cause a validation error — batch input to stay within limit
- Missing required fields (row_id, store_group, date, occupied_volume, available_volume) per row will cause schema rejection
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Numeric values outside the allowed range (-1e12 to 1e12) will be rejected
- Empty rows array will fail minItems:1 constraint
- Payment failure via x402 protocol will prevent processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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