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Transformation Throughput Analytics: Two-Measure Correlation + Date-by-Category Pivot
x402
Transformation Throughput 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 2026-10-28).
Computes a Pearson/rank correlation between processed_rows and duration_seconds, and pivots date-grouped transformation throughput records by category — delivering two statistical reports from user-supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot for supplied transformation throughput records (processed_rows, duration_seconds). 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 result quantifying the statistical relationship between processed_rows and duration_seconds across the supplied rows, and (2) a date-by-category pivot table aggregating transformation throughput metrics grouped by date and dataset_group. Both reports are derived entirely from the submitted data with no external lookups.
Example use cases
ETL pipeline performance correlation
“Here are my ETL run records for October with fields row_id, dataset_group, date, processed_rows, and duration_seconds — can you correlate processed_rows against duration_seconds and also pivot the data by date and dataset group so I can see throughput patterns?”
Data team weekly throughput review
“I've got 150 transformation job records from last week, each with a date, a dataset_group like 'group-a' or 'group-b', processed_rows, and duration_seconds. Run both a correlation report between the two measures and a date-by-category pivot so I can present the summary to my team.”
Identifying slow batch jobs by group
“Can you analyze these 80 pipeline throughput records — they have dates, dataset groups, processed row counts, and duration in seconds — and tell me both how correlated row volume is with runtime, and show me a breakdown of totals by date and dataset group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-182?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transformation throughput records with processed_rows and duration_seconds measures and need both a correlation analysis and a date-by-category pivot in a single low-cost call. Ideal for data engineers wanting quick statistical summaries of ETL job performance without setting up local analytics infrastructure. The $0.01 flat fee covers both reports simultaneously, making it cost-efficient versus calling two separate analytics endpoints.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — payload rejected
- Missing required fields (row_id, date, processed_rows, duration_seconds) — schema validation failure
- Malformed date strings not matching YYYY-MM-DD pattern — validation error
- All numeric values null — correlation undefined, may return NaN or error
- Non-numeric values in processed_rows or duration_seconds — type error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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