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Pipeline Durations Analytics: Two-Measure Correlation + Date-by-Category Pivot
x402
Pipeline Durations Analytics: Two-Measure Correlation + Date-by-Category Pivot 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).
Runs two local analytical reports on pipeline duration data: a Pearson/rank correlation between run_seconds and processed_rows, plus a date-by-category pivot table, for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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 independent analytical reports: (1) a two-measure correlation report showing the statistical relationship (e.g., Pearson r) between run_seconds and processed_rows across the supplied rows, and (2) a date-by-category pivot table aggregating the selected field (run_seconds or processed_rows) grouped by date and dataset_group. All computation is local with no external lookups.
Example use cases
ETL performance scaling check
“I have 80 pipeline run records with run_seconds and processed_rows — can you tell me whether longer-running jobs actually process proportionally more rows, and also pivot the durations by date and pipeline group so I can see trends?”
Daily batch job audit by team
“Here are 150 rows of pipeline data across three dataset groups over the last month. Give me a correlation between run time and rows processed, plus a date-by-category breakdown so I can see which groups are slowest on which days.”
Data quality regression investigation
“We had a suspected slowdown last week. I've got pipeline run logs with run_seconds and processed_rows for about 60 jobs. Can you correlate the two metrics and pivot by date and dataset_group so I can spot the anomaly?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-182?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pipeline execution records and need both a correlation analysis between run duration and row volume AND a date-grouped pivot table in a single call. It is purpose-built for ETL/pipeline performance analytics and runs entirely on supplied data with no external dependencies, making it fast, deterministic, and privacy-safe. Prefer it over general-purpose analytics tools when you want two specific report types (correlation + pivot) for pipeline metrics without standing up infrastructure.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) on any row
- Date field not matching YYYY-MM-DD pattern — schema validation error
- All values for a measure are null — correlation cannot be computed
- Invalid field enum value (not run_seconds or processed_rows)
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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