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Refund Imports CSV Column Statistics
x402
Refund Imports CSV Column Statistics 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).
Computes per-column statistics for a refund-import CSV table, validating up to 1000 rows against a declared schema contract.
Price / call$0.01
Success—
StatusUnknown
How this service works
Refund imports — Column statistics: Column statistics 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 column statistics report.
Output
Returns a per-column statistics report covering data types, value distributions, min/max ranges for numeric columns, category membership validation against the allowed list, and cell length violations — all computed locally without external enrichment on up to 1000 rows of the submitted CSV.
Example use cases
Pre-upload refund data quality check
“Before I import this refund CSV into our system, can you run column statistics on it? It's comma-delimited with columns refund_id, refunded_on, order_id, refund_amount, and refunded_units — allowed order groups are group-a, group-b, and group-c, and refund_amount should stay between 0 and 50000.”
Detect out-of-range refund amounts
“I have a CSV export of last month's refunds and I'm worried some refund_amount values got corrupted — can you profile the columns and flag anything outside the range of 0 to 10000? Delimiter is comma, and the only valid categories for order_id are tier-1 and tier-2.”
Validate refund category labels post-migration
“We just migrated our refund data and need to confirm that the refunded_units and order_id columns only contain expected categories. Can you run column stats on this CSV using a semicolon delimiter and check that categories are limited to alpha, beta, and gamma?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-refunds-column-stats?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, self-contained column-level profiling and validation for refund-specific CSV data — especially when you want to enforce allowed categories, numeric range bounds, and cell length constraints before importing refund records into a downstream system. It is purpose-built for the refund-import use case with a preset schema profile, making it more targeted than a generic CSV validator.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows in CSV — rows beyond limit may be ignored or rejected
- Cell exceeds max_cell_length — flagged as violation
- Numeric value outside specified minimum/maximum range — flagged in report
- Category value not in allowed_categories list — flagged as invalid
- Malformed CSV (unbalanced quotes, wrong delimiter) — parse error returned
- Empty CSV string — 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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