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Product Imports — Invalid Row Export
x402
Product Imports — Invalid Row Export is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Validates a product CSV against declared schema rules and returns a report of all invalid rows, including which rows fail and why.
Price / call$0.01
Success—
StatusUnknown
How this service works
Product imports — Invalid row export: Invalid row export 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 invalid row export report.
Output
Returns a structured report identifying which rows in the submitted product CSV are invalid, along with the specific validation failures for each row (e.g. out-of-range numeric values, disallowed category IDs, malformed cells, or rows exceeding cell length limits). Up to 1000 rows are processed per call.
Example use cases
Pre-import product data quality check
“Before I upload this product catalog CSV to our system, can you scan it for any invalid rows? The file uses commas as delimiters, valid categories are group-a, group-b, and group-c, and prices must be between 1 and 5000.”
Catching bad category IDs in bulk product upload
“I have a product CSV with about 800 rows and I need to know which ones have category IDs that aren't in our approved list of cat-electronics, cat-apparel, and cat-home. Can you run the invalid row export on it?”
Validating numeric ranges for product listings
“Can you validate this product import CSV and flag any rows where list_price is below 0.01 or above 100000, or unit_weight_kg is negative? Use semicolons as the delimiter.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-products-invalid-rows?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to validate a product-specific CSV (with fields like SKU, category_id, list_price, unit_weight_kg) against declared business rules such as allowed category lists and numeric ranges, and you want a targeted report of only the invalid rows. Prefer this over generic CSV validators when the domain is product imports and you need category allowlist enforcement alongside numeric bound checking in a single call.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — may truncate or error
- Invalid delimiter specified — must be comma, semicolon, or tab
- Cell exceeds max_cell_length — flagged as invalid or rejected
- Malformed CSV with unbalanced quotes — parsing error returned
- Empty CSV body — validation fails with no rows to process
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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