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Warehouse Bins Record Quality Audit + String Normalisation
x402
Warehouse Bins Record Quality Audit + String Normalisation 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 up to 200 warehouse bin records — a data quality audit and string normalisation — covering occupied_volume and available_volume fields, with no external lookups or live data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Warehouse bins — Record quality audit + String normalisation: Record quality audit + String normalisation 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 two analytical reports: (1) a record quality audit identifying data issues, nulls, out-of-range values, and malformed fields across the submitted warehouse bin rows; and (2) a string normalisation report showing cleaned and standardised versions of text fields such as store_group. Covers up to 200 input rows with no external data sources used.
Example use cases
Pre-load warehouse data quality check
“Before we push this batch of warehouse bin records into the database, can you audit the data quality and normalise the string fields? I have about 50 rows with occupied_volume and available_volume values for store groups North-Hub and South-Hub across dates in October 2026.”
Spot-check new supplier bin data
“We just received a file from a new supplier with warehouse bin occupancy data — about 120 rows covering multiple store groups and dates in 2026. Can you run a quality audit and string normalisation on the occupied_volume and available_volume columns so I can see if there are any issues?”
Routine bin data hygiene for reporting
“As part of our weekly data hygiene routine, can you audit and normalise our latest warehouse bin records? There are 80 rows with row IDs, store group names, dates, and both occupied and available volume figures — I want the two standard reports: quality audit and string normalisation.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-13-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, cheap ($0.01 USDC for 2 reports) offline quality audit and string normalisation pass on warehouse bin data with occupied_volume and available_volume fields, with no need for live lookups, predictions, or external enrichment. Ideal for batch validation of up to 200 rows before ingestion or reporting.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, occupied_volume, available_volume) in one or more rows — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- occupied_volume or available_volume outside allowed numeric range — rejected
- Empty rows array — minimum 1 item required
- Malformed JSON body — parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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