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Data Pipeline Runs – Two-Measure Correlation
x402
Data Pipeline Runs – Two-Measure Correlation 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).
Computes a two-measure (bivariate) correlation between processed_rows and rejected_rows across up to 200 data pipeline run records, returning a local descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data pipeline runs - Two-measure correlation: Two-measure correlation 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 two-measure correlation report.
Output
A bounded two-measure correlation report covering the relationship between processed_rows and rejected_rows across the submitted pipeline run records. Includes a correlation coefficient and supporting descriptive statistics. No forecasting or external data enrichment is performed — analysis is purely local to the supplied dataset.
Example use cases
ETL quality drift investigation
“I've got daily pipeline run logs for the past few months — can you correlate processed_rows and rejected_rows to tell me whether rejection rates tend to rise as throughput increases?”
Pipeline health comparison across groups
“Here are 150 pipeline run records split across group-a and group-b pipelines — run a two-measure correlation on processed and rejected row counts so I can see if the relationship differs meaningfully.”
Data reliability reporting for stakeholders
“I need a statistical summary showing how correlated our data rejection volume is with overall pipeline throughput — can you compute the two-measure correlation from these run records so I can include it in the quarterly data quality report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 structured pipeline run records and need a fast, local bivariate correlation between processed_rows and rejected_rows without any external enrichment or forecasting. Ideal for data engineers or analysts who want a quick statistical signal about the relationship between pipeline throughput and rejection rate as part of a lightweight analytics workflow or report.
Side effects
- Fewer than 1 row submitted (minItems:1 violation)
- More than 200 rows submitted (maxItems:200 violation)
- Missing required fields (row_id, pipeline, date, processed_rows, rejected_rows)
- Invalid date format (must match YYYY-MM-DD pattern)
- Numeric values outside allowed range (±1,000,000,000,000)
- Insufficient variance in one measure prevents meaningful correlation calculation
- Payment failure or insufficient USDC balance
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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