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Inventory Counts Numeric Distribution
x402
Inventory Counts Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Computes a numeric distribution profile (histogram/summary statistics) for inventory count fields (book_units or counted_units) across up to 200 supplied warehouse records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory counts - Numeric distribution: Numeric distribution for Inventory counts. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded numeric distribution deliverable.
Output
Returns a bounded numeric distribution deliverable for the selected field (book_units or counted_units) across the supplied records, including statistical summary metrics such as min, max, mean, median, quartiles, and frequency/histogram data, plus data quality indicators — all computed locally without external enrichment.
Example use cases
Warehouse cycle count variance analysis
“I've got 150 inventory count records from our cycle counts this quarter, each with a row ID, warehouse name, date, book units, and counted units. Can you compute the numeric distribution for the counted_units field so I can see how spread out our counts are?”
Book inventory data quality check
“Before I run a reconciliation report, can you profile the numeric distribution of book_units across these 90 inventory records to flag any outliers or data quality issues?”
Multi-warehouse stock level profiling
“I have inventory records from three different warehouses over the past month — about 120 rows total. Can you describe the numeric distribution of the book_units field so I can see how stock levels are distributed across those locations?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-inventory-counts-describe?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical distribution profiling of inventory count data (book_units or counted_units) across up to 200 records, with no external API dependencies. It is ideal for data quality checks, cycle count variance analysis, or pre-reconciliation data exploration where you want a numeric shape summary without triggering external enrichment or forecasting services.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows supplied exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Missing required fields (row_id, warehouse, date, book_units, counted_units) causes row rejection
- Invalid field enum value (not book_units or counted_units) returns error
- All null values in the selected field may yield degenerate distribution output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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