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Refund Imports CSV Record Key Uniqueness Validator
x402
Refund Imports CSV Record Key Uniqueness Validator 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 that every record key in a refund imports CSV table is unique, returning a uniqueness report for up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Refund imports — Record key uniqueness: Record key uniqueness 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 record key uniqueness report.
Output
A record key uniqueness report indicating whether all record keys in the submitted refund CSV are distinct, identifying any duplicate keys found across up to 1000 rows, along with relevant statistics about the validated dataset.
Example use cases
Pre-import refund data deduplication check
“Before I upload this refund CSV to our accounting system, can you check whether every refund_id is unique? The file uses comma delimiters and has about 500 rows — I need to catch any duplicates now.”
Automated refund pipeline validation step
“As part of our nightly refund processing pipeline, validate the refund imports CSV we just generated for record key uniqueness — use a comma delimiter and flag any repeated keys so we can halt the import if needed.”
Auditing a third-party refund export for data quality
“We received a refund export CSV from our payment processor and I want to verify that all the record keys are unique before we reconcile it with our orders. Can you run a key uniqueness check on it using semicolon as the delimiter?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-refunds-keys?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to validate record key uniqueness specifically within refund import CSV data, especially as a pre-import data quality gate. Prefer this over generic CSV validators when working with refund-domain data that follows the refund_id/order_id/refund_amount schema, and when you need a lightweight per-call ($0.01 USDC) check without standing up custom deduplication logic.
Side effects
- CSV exceeds 1000 rows — only first 1000 processed or error returned
- CSV string exceeds 100,000 character limit — rejected with size error
- Invalid delimiter specified outside allowed set (comma, semicolon, tab)
- Malformed CSV that cannot be parsed — parsing error returned
- Cell content exceeds max_cell_length limit — truncation or error
- Empty CSV string submitted — 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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