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Refund Imports — Invalid Row Export
x402
Refund 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 refund CSV against a declared schema contract and returns a report of all invalid rows, up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Refund imports — Invalid row export: Invalid row export 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 invalid row export report.
Output
A structured report identifying all rows in the submitted refund CSV that violate the declared contract — including which rows failed, the nature of each violation (out-of-range numeric values, disallowed category values, malformed cells, exceeded cell length), and row identifiers for remediation. Up to 1000 rows are evaluated per call.
Example use cases
Pre-import refund data quality check
“Before I import this refund file into our system, can you validate it and tell me which rows are invalid? The CSV uses comma delimiters, refund amounts should be between 0 and 10000, and valid order categories are group-a, group-b, and group-c.”
Flagging out-of-range refund amounts
“I have a refund CSV and I need to catch any rows where the refund_amount is outside the range of -500 to 5000 — can you run it through the invalid row check and give me an export of all the bad rows?”
Category constraint violation detection
“Can you validate my refund import CSV and flag any rows that have an order_id category not in my allowed list: premium, standard, and bulk? Use semicolon as the delimiter and max cell length of 200.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-refunds-invalid-rows?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to validate a refund-specific CSV import against a declared schema contract before processing, particularly when you want to isolate and export only the invalid rows for remediation. It is purpose-built for refund data (refund_id, refunded_on, order_id, refund_amount, refunded_units columns) and supports configurable numeric ranges and category allowlists. Prefer this over generic CSV validators when working with refund import pipelines that require domain-aware validation rules.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV has zero rows or is empty — validation cannot proceed
- Delimiter mismatch causes all rows to be unparseable
- Minimum value exceeds maximum value — invalid range configuration
- More than 100 allowed_categories provided — exceeds limit
- Malformed CSV with unmatched quotes may cause parse errors
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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