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Return Imports CSV Numeric Type Check
x402
Return Imports CSV Numeric Type Check is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Validates that all numeric columns in a return-imports CSV table contain valid numeric values, within optional min/max bounds and allowed categorical values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Return imports — Numeric type check: Numeric type check for Return 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 numeric type check report.
Output
A numeric type check report indicating which cells or rows in the CSV contain non-numeric values in expected numeric columns, whether values fall within the specified min/max bounds, and an overall pass/fail status for the declared CSV data contract. Covers up to 1000 rows with quoted cell support.
Example use cases
Pre-import returns data quality gate
“Before we import this batch of return records into our system, check that all the numeric columns — returned_units and restocking_fee — actually contain valid numbers. Here's the CSV with comma delimiters, and flag anything outside the range 0 to 500.”
Automated returns pipeline validation
“Run a numeric type check on our returns CSV — I need to confirm none of the number fields have accidental text or blank values. The allowed reason codes are group-a, group-b, and group-c, and the restocking fees should never exceed 1000.”
Data contract compliance check for finance team
“Our finance team declared that returned_units and restocking_fee must be numeric in the returns import file. Can you validate this CSV against that contract and give me a report of any rows that violate the numeric type requirement?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-returns-types?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to validate that numeric columns in a return-imports CSV dataset contain properly typed numeric values and fall within expected bounds, as part of a data pipeline or before ingesting return records into a system. It is purpose-built for return import data contracts and supports quoted cells, configurable delimiters, and categorical allowlists — making it more targeted than a generic CSV validator when the domain is product returns data.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV has fewer than 1 character — empty input error
- Delimiter not one of comma, semicolon, or tab — validation error
- Minimum value exceeds maximum value — configuration error
- Cell length exceeds max_cell_length setting — cell truncation or rejection
- More than 100 allowed_categories specified — parameter limit error
- Malformed CSV that cannot be parsed — parse error in report
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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