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Product Imports CSV Located Error Report
x402
Product Imports CSV Located Error Report 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 import CSV file and returns a located error report pinpointing cell-level data issues, up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Product imports — Located error report: Located error report 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 located error report report.
Output
A located error report listing each cell-level validation failure in the submitted CSV, including the row and column position of each error, the invalid value, and a description of the violation (e.g. out-of-range numeric, disallowed category, malformed date). Covers up to 1000 rows with quoted cell support.
Example use cases
Pre-upload product catalog validation
“Before I upload this product CSV to our store, can you scan it for any invalid cells? The file uses comma delimiters, allowed categories are electronics and apparel, and prices should be between 1 and 50000.”
Catch bad category IDs in bulk import
“I have a product import CSV and I want to make sure none of the category_id cells contain values outside of our approved list: cat-001, cat-002, and cat-003. Can you run a located error report on it?”
Validate weight and price ranges before ERP sync
“Can you validate my product CSV to find any cells where list_price is below 0.01 or above 9999.99, or unit_weight_kg is outside 0 to 500? Flag exactly which cells are wrong so I can fix them before syncing to our ERP.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-products-cell-errors?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need precise, cell-level error location in a product import CSV before committing it to a database or ERP system. It is purpose-built for the product import domain (SKUs, prices, weights, categories, dates) and returns positioned error reports rather than a simple pass/fail. Prefer it over generic CSV validators when you need to know exactly which cell is wrong and why, especially when enforcing category allowlists or numeric range constraints on product fields.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — validation may be truncated or refused
- Invalid delimiter specified — parsing fails and all rows may be flagged as errors
- Malformed CSV (unclosed quotes, inconsistent columns) — parser error returned
- Empty CSV string — minimum length violation
- allowed_categories list exceeds 100 items — request rejected
- max_cell_length set outside 1–5000 range — schema validation error
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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