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Transformation Throughput — Grouped Numeric Summary + Base-100 Series
x402
Transformation Throughput — Grouped Numeric Summary + Base-100 Series 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).
Generates two analytical reports for transformation throughput data: a grouped numeric summary and a base-100 indexed series for processed_rows or duration_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Grouped numeric summary + Base-100 series: Grouped numeric summary + Base-100 series 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 reports: (1) a grouped numeric summary with descriptive statistics (e.g. mean, min, max, count) for the selected field broken down by dataset_group, and (2) a base-100 indexed series showing the selected field's values normalized relative to the chosen base_index row, enabling trend and relative-change analysis. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline throughput baseline comparison
“I want to see how my ETL pipeline's processed_rows have trended relative to the first day — can you run a grouped numeric summary and base-100 series on this throughput data with base_index 0 and field set to processed_rows?”
Duration performance grouped by dataset type
“Can you analyze my transformation job data and give me both a grouped stats summary and a base-100 indexed series for duration_seconds across different dataset groups, anchored to index 0?”
Multi-group throughput benchmarking report
“I have about 150 rows of transformation throughput records across four dataset groups — generate a grouped numeric summary and a base-100 series for processed_rows starting from index 0 so I can compare group performance over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-092?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have transformation throughput records (processed_rows, duration_seconds) grouped by dataset categories and need both a descriptive grouped summary AND a base-100 normalized trend series in a single low-cost call. Prefer this over single-report endpoints when you need both reports together for the same dataset to save on calls. Ideal for ETL performance reviews, pipeline benchmarking, and data engineering monitoring dashboards where relative indexing against a baseline is needed alongside group-level statistics.
Side effects
- Fewer than 1 row supplied returns an error
- More than 200 rows supplied exceeds the limit and is rejected
- Invalid date format (not YYYY-MM-DD) fails schema validation
- base_index out of range (>= number of rows supplied) may produce an error or undefined behavior
- Missing required fields (row_id, dataset_group, date) cause schema validation failure
- Null values in processed_rows or duration_seconds may affect numeric summary accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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