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Price Quote Imports — Exact Row Duplicates Validator
x402
Price Quote 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 2026-10-15).
Detects exact duplicate rows in a price quote CSV file, validating up to 1000 rows against a declared table contract.
Price / call$0.01
Success—
StatusUnknown
How this service works
Price quote imports — Exact row duplicates: Exact row duplicates for Price quote 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 all exact duplicate rows found in the submitted price quote CSV, including which rows are duplicated and how many times, enabling the caller to clean the data before import.
Example use cases
Pre-import price quote deduplication
“Before I load this price quote file into our system, can you scan it for exact duplicate rows? It's comma-delimited and the allowed supplier categories are group-a and group-b. Here's the CSV content.”
Supplier quote audit for procurement team
“I've got a CSV of supplier price quotes that was exported from three different sources and I'm worried there are duplicate entries. Can you check it for exact row duplicates? The delimiter is a semicolon and valid categories are tier-1 and tier-2.”
Automated quote import pipeline validation
“As part of our nightly quote import job, validate this price quote CSV for exact row duplicates before we push it to the database — comma-separated, categories allowed are group-a, group-b, and group-c, and flag anything that repeats identically.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-quotes-duplicate-rows?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need to detect exact row duplicates in a price quote CSV prior to import, especially when working with procurement or supplier quote data that may come from multiple sources and needs deduplication as part of a data quality gate. It is purpose-built for the price quote schema pattern (quote_id, quoted_on, supplier_id, unit_price, minimum_quantity) and supports quoted cells and configurable delimiters without any external data enrichment.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — validation truncated or rejected
- Invalid delimiter specified — parse error returned
- Cell content exceeds max_cell_length — row flagged or rejected
- Malformed CSV with unclosed quotes — parse failure
- Category values not in allowed_categories list — 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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