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Prediction Result Imports — Exact Row Duplicates
x402
Prediction Result Imports — Exact Row Duplicates 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 a CSV of prediction results and reports exact row duplicates, up to 1000 rows, against a declared table contract.
Price / call$0.01
Success—
StatusUnknown
How this service works
Prediction result imports — Exact row duplicates: Exact row duplicates for Prediction result 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
Returns an exact row duplicates report for the submitted prediction results CSV, identifying which rows are complete duplicates of one another, based on the declared table contract. The report covers up to 1000 rows and respects the configured delimiter, max cell length, allowed categories, and numeric range constraints.
Example use cases
Pre-import duplicate check for ML pipeline
“Before I load this batch of model prediction results into our database, scan the CSV for exact row duplicates so I can clean it up first — columns are prediction_id, predicted_on, model_id, probability, latency_ms, comma-separated.”
Data quality audit on prediction exports
“I exported prediction records from our scoring system and I need to know if any rows are exactly repeated. Can you run a duplicate row check on this CSV file with comma as the delimiter and allowed categories group-a and group-b?”
Validating prediction CSV before analytics ingestion
“We're about to ingest this predictions CSV into our analytics platform — can you validate it for exact duplicate rows first? Use a tab delimiter, max cell length of 500, and let me know which records appear more than once.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-predictions-duplicate-rows?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need to detect exact row duplicates in a prediction results CSV before importing it into a database or analytics system. It is purpose-built for prediction result data schemas (prediction_id, model_id, probability, latency_ms, etc.) and supports configurable delimiters and category constraints. Prefer this over a generic CSV validator when your use case is pre-import data quality checking focused exclusively on exact row repetition in ML prediction outputs.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV contains fewer than 1 character — validation error
- Invalid delimiter value outside allowed enum (comma, semicolon, tab) — schema error
- Rows exceed 1000 limit — may be truncated or rejected
- Cell length exceeds configured max_cell_length — validation warning
- Payment not provided or insufficient USDC — 402 payment required response
- Malformed CSV structure — parsing error returned
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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