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Warehouse Bins — Record Quality Audit + String Normalisation + Grouped Numeric Summary
x402
Warehouse Bins — Record Quality Audit + String Normalisation + Grouped Numeric Summary 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 three local analytical reports on warehouse bin records: a data quality audit, string normalisation, and a grouped numeric summary of occupied/available volume fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Warehouse bins — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied warehouse bins records (occupied_volume, available_volume). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports generated from the supplied rows: (1) a record quality audit flagging missing values, type mismatches, or malformed fields; (2) normalised string representations of text fields such as store_group; and (3) a grouped numeric summary (e.g. totals, means, distributions) of the selected numeric field (occupied_volume or available_volume) segmented by store group. All processing is local with no external lookups.
Example use cases
Warehouse bin data quality check
“I've got a batch of warehouse bin records with store groups, dates, occupied volume, and available volume — can you audit them for quality issues, normalise the store group strings, and give me a grouped numeric summary of occupied_volume across all rows?”
Retail inventory volume anomaly review
“Before we submit our monthly inventory report, can you run a record quality audit and grouped summary on these 150 bin rows from our retail warehouse, focusing on the available_volume field and grouping by store group?”
Automated bin data pipeline validation
“As part of our nightly pipeline, run the three-report analysis — quality audit, string normalisation, and grouped numeric summary — on today's warehouse bin records so we can catch bad data before it hits our dashboard.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-13-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 warehouse bin records and need all three analytical operations — quality audit, string normalisation, and grouped numeric summary — bundled in a single low-cost call ($0.01 USDC). It is ideal for batch validation and summarisation of bin inventory data without requiring any external data sources, live lookups, or predictions. Prefer this over general-purpose analytics tools when working specifically with occupied_volume and available_volume fields grouped by store_group.
Side effects
- Fewer than 1 row or more than 200 rows submitted returns a validation error
- Missing required fields (row_id, store_group, date, occupied_volume, available_volume) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Invalid field enum value (not occupied_volume or available_volume) returns error
- Payment not included or insufficient USDC causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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