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Pipeline Durations Analytics — Two-Measure Correlation + Keyed Dataset Comparison
x402
Pipeline Durations Analytics — Two-Measure Correlation + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Computes a Pearson/rank correlation between run_seconds and processed_rows, and performs a keyed dataset comparison between two supplied pipeline duration datasets — both delivered as a single paid response.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison for supplied pipeline durations records (run_seconds, processed_rows). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports in a single response: (1) a two-measure correlation report quantifying the statistical relationship between run_seconds and processed_rows across the primary dataset, and (2) a keyed dataset comparison report highlighting differences between the primary (rows) and secondary (other) datasets matched by row_id. No external data is fetched; all analysis is performed on the supplied records.
Example use cases
ETL throughput correlation analysis
“I've got 150 daily pipeline records with run_seconds and processed_rows for our nightly ETL job. Can you check whether run time is statistically correlated with the number of rows processed, and also compare this month's records against last month's to flag any rows that changed significantly?”
Pipeline regression detection after code change
“We just deployed a new pipeline version. Here are before-and-after run logs — up to 200 rows each — with run_seconds and processed_rows. Can you correlate the two metrics in the new dataset, and do a keyed comparison to see which specific pipeline runs got faster or slower after the deploy?”
Multi-group pipeline performance benchmark
“I have two groups of pipeline runs — group-a and group-b — stored as separate record sets with dates, run times, and processed row counts. Can you run both the correlation between run_seconds and processed_rows and a side-by-side dataset comparison so I can see which group is more efficient?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-183?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pipeline execution records with timing and throughput metrics and need both a correlation analysis and a dataset-to-dataset comparison in one low-cost call. It is ideal for data engineering teams monitoring ETL performance, detecting regressions after deployments, or benchmarking pipeline runs across time periods or groups — without needing an external analytics platform.
Side effects
- Input arrays exceed 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) cause validation errors
- Null values in run_seconds or processed_rows may reduce the effective sample size for correlation
- Mismatched row_ids between 'rows' and 'other' arrays may result in unmatched records in the comparison report
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Fewer than 2 non-null pairs will make correlation computation undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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