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Transfer Record Imports — Exact Row Duplicates Validator
x402
Transfer Record Imports — Exact Row Duplicates Validator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Validates a CSV of transfer records and reports exact row duplicates, checking up to 1000 rows against a declared schema contract.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transfer record imports — Exact row duplicates: Exact row duplicates for Transfer record 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 exact row duplicates report.
Output
A report identifying any exact row duplicates found in the submitted transfer CSV, including which rows are repeated, up to 1000 rows analyzed. No external enrichment is applied — only the raw CSV content is evaluated against the declared contract.
Example use cases
Pre-import deduplication check for transfers
“Before I load this batch of transfer records into the system, can you scan the CSV for any exact duplicate rows? It uses comma delimiters and the allowed asset categories are group-a and group-b.”
Audit trail validation for financial transfers
“I need to verify that our transfer log export has no repeated entries — run a duplicate row check on this CSV with transfer_id, executed_on, asset_id, sent_amount, and received_amount columns.”
Data pipeline quality gate for transfer imports
“As part of our ETL pipeline, check this transfer CSV for exact row duplicates before we proceed — use a comma as the delimiter and flag anything that appears more than once.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-transfers-duplicate-rows?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) duplicate row check specifically on transfer record CSVs with a fixed schema (transfer_id, executed_on, asset_id, sent_amount, received_amount). It is ideal as a pre-import validation gate, a data pipeline quality check, or an audit step — especially when you want exact-match deduplication without external enrichment or fuzzy matching.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV is empty or malformed — validation error returned
- Delimiter mismatch causes incorrect column parsing — duplicate detection may be inaccurate
- Cell content exceeds max_cell_length limit — row may be rejected
- More than 1000 rows submitted — only up to limit processed or error returned
- Invalid allowed_categories values — categories not matched correctly
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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