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Transformation Throughput Analytics: Weighted Mean + Date-Category Pivot
x402
Transformation Throughput Analytics: Weighted Mean + Date-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 secondary-measure weighted mean and a date-by-category pivot table for transformation throughput records (processed_rows, duration_seconds) supplied by the caller.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + 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 analytical reports computed locally from the supplied rows: (1) a secondary-measure weighted mean of the chosen field (processed_rows or duration_seconds) and (2) a date-by-category pivot table breaking down values by date and dataset_group. No external data is fetched; results are derived entirely from the caller-supplied records (up to 200 rows).
Example use cases
ETL batch performance summary
“I've got 50 rows of ETL job logs with row_id, dataset_group, date, processed_rows, and duration_seconds. Can you compute a weighted mean for processed_rows and also pivot the data by date and dataset group so I can see throughput trends across my pipeline batches?”
Pipeline duration analysis by team
“Here are 120 transformation throughput records from last month — each has a group name, date, processed rows count, and duration in seconds. Run a weighted mean on duration_seconds and give me a date-by-category pivot so I can compare how long each team's jobs are taking.”
Data quality audit of processing speed
“I need to audit throughput across 3 dataset groups for October. I have up to 80 records with row_id, dataset_group, date, processed_rows, and duration_seconds. Please compute the secondary-measure weighted mean for duration_seconds and pivot everything by date and category.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-185?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transformation throughput records with processed_rows and duration_seconds fields and need both a weighted mean and a date-by-category pivot in a single paid call. It is ideal for ETL/pipeline analytics where you want offline, supply-only computation with no external lookups. Prefer alternatives if you need more than 200 rows, real-time pipeline monitoring, or different report types such as histogram or outlier detection.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) on any row causes validation failure
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in processed_rows or duration_seconds may affect weighted mean computation
- Invalid enum value for 'field' parameter (must be 'processed_rows' or 'duration_seconds')
- Payment of 0.01 USDC not confirmed — request blocked by x402 paywall
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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