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Product Imports CSV Column Statistics
x402
Product 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 per-column statistics for a product import CSV file, validating up to 1000 rows against a declared schema contract.
Price / call$0.01
Success—
StatusUnknown
How this service works
Product imports — Column statistics: Column statistics for Product 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
Returns a per-column statistical report for the submitted product CSV, including value distributions, numeric range validation results, category membership checks, and data quality indicators for up to 1000 rows of product data.
Example use cases
Pre-import product catalog validation
“Before I upload this product catalog to our store, can you run column statistics on my CSV and tell me if all category IDs are in the allowed list of 'group-a', 'group-b', 'group-c', prices are between 0 and 50000, and flag any columns that look off? Here's the CSV data.”
Price range anomaly detection
“I have a product import CSV with columns for sku, introduced_on, category_id, list_price, and unit_weight_kg — can you compute column statistics with a price minimum of 1 and maximum of 10000 and tell me if any list_price values fall outside that range?”
New supplier data quality check
“We just received a product file from a new supplier using semicolon delimiters. Can you run column statistics on it to check distributions, validate that category IDs match 'cat-1', 'cat-2', or 'cat-3', and make sure no cell is longer than 200 characters?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-products-column-stats?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need fast, cheap ($0.01 USDC) column-level statistical validation of a product import CSV file — particularly when you need to enforce allowed category lists, numeric ranges, and cell length constraints on product data before importing it into a catalog or database. It is purpose-built for the product imports domain with relevant column presets (SKU, introduced_on, category_id, list_price, unit_weight_kg).
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — only first 1000 processed or error returned
- Invalid delimiter specified — must be comma, semicolon, or tab
- Cell length exceeds max_cell_length threshold — validation failure reported
- Category values not in allowed_categories list — flagged in output
- Malformed CSV with unmatched quotes — parsing error returned
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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