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Refund Imports Declared Column Projection
x402
Refund Imports Declared Column Projection 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 CSV file of refund import data against a declared column contract, reporting structure and value conformance for up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Refund imports — Declared column projection: Declared column projection for Refund 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 declared column projection report.
Output
A declared column projection report for the submitted refund CSV, indicating whether the data conforms to the declared column contract, including validation of value ranges (minimum/maximum), allowed category values, cell length constraints, and overall structural conformance across up to 1000 rows.
Example use cases
Pre-import refund file validation
“Before I upload this refund CSV to our accounting system, can you check it against the declared schema — columns are refund_id, refunded_on, order_id, refund_amount, refunded_units — and make sure refund_amount stays between 0 and 10000 and order_id only has values from group-a, group-b, or group-c?”
QA check on monthly refund export
“I've got a monthly refund export as a CSV with semicolon delimiters. Can you run a column projection validation on it to confirm all the declared columns are present and refund_amount values are between -500 and 500000?”
Automated refund data contract enforcement
“Every time our refund processor outputs a CSV, I need you to validate it against our declared contract — columns refund_id, refunded_on, order_id, refund_amount, refunded_units — allowing only 'tier-1' and 'tier-2' as categories and capping refund_amount at 99999. Flag any rows that break the contract.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-refunds-projection?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate a refund-specific CSV file against a declared column contract before importing it into a downstream system. It is purpose-built for refund data with columns like refund_id, refunded_on, order_id, refund_amount, and refunded_units, and supports category allowlists and numeric range constraints. Prefer it over generic CSV validators when you need a structured projection report tailored to refund import schemas.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — rows beyond limit may be ignored or rejected
- Invalid delimiter specified — must be comma, semicolon, or tab
- Cell content exceeds max_cell_length — validation error reported
- Malformed CSV (unclosed quotes, mismatched columns) — parse error returned
- Numeric values outside the specified minimum/maximum bounds — flagged 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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