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Data Pipeline Runs – Duplicate Key Report
x402
Data Pipeline Runs – Duplicate Key Report 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).
Analyzes up to 200 data pipeline run records and returns a duplicate key report identifying repeated row identifiers across pipeline runs.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data pipeline runs - Duplicate key report: Duplicate key report 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 duplicate key report report.
Output
A structured duplicate key report listing which row_ids appear more than once across the submitted pipeline run records, enabling identification of conflicting or repeated entries in the dataset. No external enrichment or forecasting is performed — analysis is purely local and descriptive.
Example use cases
ETL pipeline deduplication audit
“I have a batch of 50 pipeline run records from our nightly ETL jobs — can you scan them for duplicate row IDs and tell me which ones appear more than once? Here are the records with row_id, pipeline name, date, processed_rows, and rejected_rows for each.”
Data quality check before ingestion
“Before we ingest today's pipeline run logs into our warehouse, run a duplicate key check on these 120 records — I need to know if any row_id values repeat across the group-a or group-b pipelines from the past week.”
Debugging rejected rows in pipeline
“We're seeing weird rejected_rows counts and I suspect there might be duplicate row IDs causing double-counting. Can you run a duplicate key report on these 80 pipeline run records so I can see which row_ids are appearing more than once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-key-duplicates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01 USDC) local duplicate key detection pass over a small-to-medium batch of pipeline run records (up to 200 rows) without requiring external enrichment, forecasting, or streaming. Best suited for pre-ingestion validation, debugging ETL issues, or routine data quality audits on pipeline execution logs.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, pipeline, date, processed_rows, rejected_rows) causes record rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Empty rows array is rejected (minItems: 1)
- Numeric values outside the allowed range (-1e12 to 1e12) fail validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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