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Warehouse Bins String Normalisation + Two-Measure Correlation
x402
Warehouse Bins String Normalisation + Two-Measure Correlation 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).
Normalises string fields and computes a two-measure correlation between occupied_volume and available_volume for up to 200 warehouse bin records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Warehouse bins — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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 normalization report cleaning and standardizing the store_group and other string fields across the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between occupied_volume and available_volume across all submitted records. Results are derived entirely from the supplied data with no external lookups.
Example use cases
Retail warehouse capacity correlation check
“I have 150 rows of warehouse bin records from our retail stores — each row has a store group, a date, an occupied volume, and an available volume. Can you normalize the store group strings and compute a correlation between occupied and available volume, giving me both reports?”
Multi-store bin utilisation analysis
“We track bin utilisation across store groups daily. Here are 80 records with occupied_volume and available_volume per bin. Please normalize the text fields and tell me how correlated occupied volume is with available volume across these entries.”
Inventory data cleanup and volume relationship report
“Can you take these 40 warehouse bin records — they have messy store group names, dates, and two volume columns — normalize the strings and run a two-measure correlation between occupied_volume and available_volume? I need both the normalization and correlation report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-13-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have warehouse or retail bin data with both occupied and available volume metrics and need two things at once: cleaned, normalized string fields and a statistical correlation between those two volume measures. It is ideal for small-to-medium batch jobs (up to 200 rows) where you want a self-contained, offline analytical result with no external data lookups or predictions.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds maximum limit
- Missing required fields (row_id, date, occupied_volume, available_volume) — validation error
- Date field not in YYYY-MM-DD format — pattern validation failure
- Numeric volume values outside ±1,000,000,000,000 range — schema rejection
- Insufficient numeric variance in volume columns — correlation may be undefined or return NaN
- Payment of 0.01 USDC not completed — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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