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Data Pipeline Runs – Exact Row Deduplication
x402
Data Pipeline Runs – Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Removes exact duplicate rows from up to 200 data pipeline run records (by pipeline, date, processed_rows, rejected_rows) and returns a deduplication report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data pipeline runs - Exact row deduplication: Exact row deduplication for Data pipeline runs. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded exact row deduplication report.
Output
A bounded exact row deduplication report listing which of the supplied pipeline run records were duplicates, the deduplicated (unique) set of rows, and summary statistics — all computed locally without external enrichment or forecasting.
Example use cases
Clean ETL pipeline run logs
“I have a batch of 80 pipeline run records from last month — some rows got duplicated during ingestion. Can you run exact deduplication on them so I only keep unique entries by pipeline, date, and row counts?”
Pre-analysis data quality check
“Before I run analytics on my pipeline metrics, can you deduplicate these 120 records? Each has a row_id, pipeline name, date, processed_rows, and rejected_rows — I want duplicates stripped out first.”
Validate pipeline monitoring data
“Our monitoring system logged the same pipeline runs multiple times today. I've got 45 rows with fields like row_id, pipeline, date, processed_rows, and rejected_rows — can you remove all exact duplicates and tell me how many were found?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-deduplicate?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 typed pipeline run records and need a fast, cheap ($0.01 USDC) exact-match deduplication report with no external API calls or enrichment — ideal for pre-analysis data cleaning of ETL or pipeline monitoring datasets where records share the same pipeline, date, processed_rows, and rejected_rows values.
Side effects
- Fewer than 1 row supplied returns a validation error
- More than 200 rows supplied exceeds the maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, pipeline, date, processed_rows, rejected_rows) causes rejection
- Numeric values outside ±1,000,000,000,000 range fail validation
- Payment not included or insufficient USDC triggers x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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