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Inventory Imports CSV Column Statistics
x402
Inventory Imports CSV Column Statistics 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 column-level statistics for an inventory imports CSV, validating the declared table contract up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory imports — Column statistics: Column statistics for Inventory imports. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV column statistics report.
Output
A column statistics report covering each column in the submitted inventory CSV, including data type inference, value ranges, category conformance checks, cell length violations, and overall validation status against the declared contract.
Example use cases
Pre-import inventory data audit
“Before I load this inventory CSV into our system, can you validate all the columns and give me statistics on each one? The file uses comma delimiters, values should be between 0 and 999999999, and the warehouse_id field should only have 'east', 'west', or 'central' as values.”
Warehouse stock count validation
“I have a stock count CSV with columns for stock_id, counted_on, warehouse_id, on_hand, and reserved_units — can you run column stats on it and make sure the numeric values are between -1000000 and 1000000000 and nothing exceeds 200 characters per cell?”
Category conformance check for inventory feeds
“Can you profile the columns in this inventory imports CSV and confirm that the allowed categories for the group field are only 'group-a' and 'group-b'? Use a comma as the delimiter and flag anything outside the expected numeric range of 0 to 1000000.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-inventory-column-stats?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, structured column-level statistics and validation for inventory import CSV files specifically, without external enrichment. It is ideal for pre-import data quality checks on stock, warehouse, and inventory data where you want to enforce numeric ranges, cell length limits, and category allowlists across up to 1000 rows. Prefer this over generic CSV validators when the domain is inventory management and you need a purpose-built profile with inventory-specific defaults.
Side effects
- CSV exceeds 100,000 character limit — rejected with size error
- More than 1000 rows submitted — validation truncated or rejected
- Invalid delimiter specified (not comma, semicolon, or tab) — schema error
- Numeric values outside the declared minimum/maximum range — flagged in report
- Cell length exceeds max_cell_length — flagged as violation
- Malformed CSV with unclosed quotes — parse error
- Empty CSV string submitted — returns error for missing data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | |
| maximum | number | |
| minimum | number | |
| delimiter | string | |
| max_cell_length | integer | |
| allowed_categories | array |
Tags
x402
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