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Transformation Throughput Analytics: Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Transformation Throughput Analytics: Two-Measure Correlation + Secondary-Measure Weighted Mean 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 weighted mean of a chosen secondary measure, for up to 200 transformation throughput records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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 statistical reports: (1) a correlation coefficient and supporting statistics measuring the relationship between processed_rows and duration_seconds across the supplied rows, and (2) a weighted mean of the selected secondary measure (processed_rows or duration_seconds) across all records. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline performance correlation check
“I have daily ETL run logs for the past 6 months with processed_rows and duration_seconds per run — can you compute the correlation between those two fields and also give me the weighted mean of duration_seconds?”
Throughput efficiency benchmarking by group
“I've got transformation records split across two dataset groups, each with processed_rows and duration_seconds. Can you run the two-measure correlation between processed rows and duration, plus a weighted mean of processed_rows, so I can benchmark efficiency across groups?”
Data pipeline scaling analysis
“We're trying to understand if processing time grows linearly with row count in our data pipelines. Can you correlate processed_rows against duration_seconds across my 200 pipeline records, and also compute the weighted mean of duration_seconds?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have transformation throughput records (with processed_rows and duration_seconds) and need both a bivariate correlation between those two measures AND a weighted mean of one measure in a single API call. Prefer it over general-purpose statistical tools when your data fits the schema (up to 200 rows, ETL/pipeline context) and you want a cost-effective combined report at $0.01 USDC for two analyses simultaneously.
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, date, processed_rows, duration_seconds) in one or more records
- date field does not match YYYY-MM-DD pattern — validation error
- processed_rows or duration_seconds out of allowed numeric range
- field enum value not one of processed_rows or duration_seconds — invalid secondary measure selection
- Insufficient numeric variance in data for meaningful correlation (e.g. all identical values)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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