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Transformation Throughput Analytics: Numeric Interval Filter + Two-Measure Correlation
x402
Transformation Throughput Analytics: Numeric Interval Filter + 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 2026-10-28).
Filters transformation throughput records by a numeric interval and computes a two-measure correlation between processed_rows and duration_seconds, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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 filtered subset of the input rows where the chosen field (processed_rows or duration_seconds) falls within the specified [minimum, maximum] interval, and (2) a correlation analysis between processed_rows and duration_seconds across the filtered dataset, both computed locally without external lookups.
Example use cases
Pipeline performance correlation check
“Here are my 80 transformation job logs with date, row_id, dataset_group, processed_rows, and duration_seconds — filter to jobs where duration_seconds is between 5 and 120, then tell me how strongly processed_rows correlates with duration_seconds in that range.”
Throughput outlier range analysis
“I want to focus only on jobs that processed between 1000 and 50000 rows — can you filter my 150 ETL records by that processed_rows range and show me the correlation between processed_rows and duration_seconds for those jobs?”
Dataset group efficiency review
“I have transformation throughput records for two dataset groups over the past quarter — filter to rows where processed_rows is between 500 and 10000 and run the two-measure correlation report on processed_rows versus duration_seconds so I can see which group is more efficient.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-131?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a numeric range filter and a two-measure correlation report on transformation throughput data (processed_rows, duration_seconds) in a single low-cost call. It is ideal for lightweight, on-demand pipeline analytics without setting up a full analytics stack. Prefer it over general-purpose analytics services when your dataset fits within 200 rows and you need two co-located reports at $0.01 USDC per call with no external data dependencies.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, processed_rows, duration_seconds) in any row — validation error
- minimum greater than maximum — invalid interval returns empty filter result
- Null values in processed_rows or duration_seconds may reduce correlation sample size or cause NaN results
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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