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Transformation Throughput Two-Measure Correlation and Keyed Dataset Comparison
x402
Transformation Throughput Two-Measure Correlation and 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 2026-10-28).
Computes Pearson/Spearman correlation between processed_rows and duration_seconds, plus a keyed group-level dataset comparison, across up to 200 transformation throughput records in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison 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 analytical reports: (1) a two-measure correlation report quantifying the statistical relationship between processed_rows and duration_seconds across the submitted rows, and (2) a keyed dataset comparison report contrasting the primary and secondary datasets at the dataset_group level, highlighting differences in throughput metrics.
Example use cases
ETL pipeline efficiency correlation
“I've got daily ETL run records with processed_rows and duration_seconds for each job — can you correlate those two measures and tell me whether bigger jobs are taking proportionally longer? Here's my rows dataset with row_id, dataset_group, date, processed_rows, and duration_seconds.”
A/B throughput experiment comparison
“We ran the same pipeline with two different configurations and recorded the results in two separate datasets, each keyed by row_id and dataset_group. Can you compare them and also check the correlation between processed_rows and duration_seconds within each group?”
Multi-group pipeline performance audit
“I have transformation logs split across groups 'group-a' and 'group-b' for October, with processed_rows and duration_seconds per run. Can you generate a two-measure correlation report and a keyed group-level comparison between my primary and reference datasets?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-183?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a statistical correlation between two numeric throughput measures and a structured group-level dataset comparison in a single paid call, without requiring real-time data lookup or external integrations. Ideal for data engineers auditing ETL pipeline performance, comparing experiment runs, or validating throughput consistency across named groups — all from locally supplied records up to 200 rows.
Side effects
- Exceeds 200-row limit — request is rejected or truncated
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) cause validation errors
- Null or non-numeric values in processed_rows or duration_seconds may degrade or invalidate correlation computation
- Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Insufficient variance in either measure yields undefined or degenerate correlation coefficient
- Mismatched row_ids between primary and secondary datasets reduce keyed comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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