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Warehouse Bins Two-Measure Correlation and Missing-Value Fill
x402
Warehouse Bins Two-Measure Correlation and Missing-Value Fill 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).
Computes the correlation between occupied_volume and available_volume for warehouse bin records and fills missing values using a chosen method (zero, mean, or median), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Warehouse bins — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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 Pearson or equivalent correlation between occupied_volume and available_volume across the supplied rows, and (2) a record-by-record or summary fill of missing values in the selected field using the specified method (zero, mean, or median). No external data or predictions are used; all computation is local to the supplied dataset.
Example use cases
Warehouse utilization correlation audit
“I've got daily warehouse bin records for our distribution center — up to 80 rows with occupied_volume and available_volume. Can you calculate the correlation between those two measures and fill any missing available_volume values using the mean?”
Retail group bin data imputation
“Our retail store groups submitted bin data but some occupied_volume entries are null. Can you fill those missing values using zero and also run a correlation report between occupied_volume and available_volume for these 50 rows?”
Multi-date bin occupancy analysis
“We have 200 rows of warehouse bin records across multiple store groups and dates. Please run the two-measure correlation between occupied_volume and available_volume, and fill any missing occupied_volume entries using the median imputation method.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-13-184?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 correlation report and missing-value imputation in a single low-cost call. It is ideal for offline or batch analytical workflows on datasets up to 200 rows where no live data lookup, prediction, or external enrichment is needed. Prefer it over general-purpose statistical tools when you want a fixed-price, self-contained computation that bundles both reports together.
Side effects
- Fewer than 1 row submitted — minItems validation error
- More than 200 rows submitted — maxItems validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation rejection
- row_id missing or empty — required field error
- Numeric values outside allowed range (-1e12 to 1e12) — schema validation failure
- All values for selected field are null — correlation or fill may return undefined/NaN result
- Invalid method enum value — rejected at schema level
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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