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CSV Evaluation Run Imports — Exact Row Duplicate Detector
x402
CSV Evaluation Run Imports — Exact Row Duplicate Detector is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Validates a CSV of evaluation run import records and identifies exact duplicate rows within the dataset, returning a structured duplicates report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Evaluation run imports — Exact row duplicates: Exact row duplicates for Evaluation run 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 structured report identifying which rows in the submitted CSV are exact duplicates of one another, including row indices or identifiers for the duplicated entries, along with a validation summary for the declared CSV contract (up to 1000 rows, with support for quoted cells and configurable delimiters).
Example use cases
Pre-import evaluation data deduplication
“Before I upload this evaluation run CSV to our ML pipeline, can you scan it for exact duplicate rows? The file is comma-delimited and I want to catch any repeated records where all columns match exactly.”
Automated QA check for evaluation datasets
“I need to validate the quality of our evaluation run import file — specifically check whether any rows are exact duplicates of each other. The CSV uses comma delimiters and allowed category values are group-a and group-b.”
Audit repeated entries in experiment results
“Can you audit this experiment evaluation CSV and tell me which rows, if any, are exact duplicates? It has up to 500 rows with semicolon delimiters and I want a full report on any repeated entries before we publish the results.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-evaluations-duplicate-rows?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to detect exact row-level duplicates in a CSV file specifically structured as evaluation run imports (fields like evaluation_id, evaluated_on, dataset_id). It is optimized for this narrow schema contract, handles quoted cells, and supports configurable delimiters and category allow-lists. Prefer it over generic deduplication tools when working within ML evaluation pipelines where row-level data integrity before import is critical and you want a cheap ($0.01 USDC), fast, purpose-built report.
Side effects
- CSV exceeds 1000 row limit — request rejected
- CSV text exceeds 100,000 character maxLength — payload too large
- Invalid delimiter specified (must be comma, semicolon, or tab) — validation error
- Cell content exceeds max_cell_length limit — truncation or rejection error
- Malformed CSV syntax (unclosed quotes, mismatched columns) — parse error
- Empty CSV input (minLength:1 not met) — validation error
- Category values not in allowed_categories list — validation warning or 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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