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Transformation Throughput Analytics: Grouped Numeric Summary + Adjacent Row Changes
x402
Transformation Throughput Analytics: Grouped Numeric Summary + Adjacent Row Changes 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).
Analyzes transformation throughput records (processed_rows, duration_seconds) by producing a grouped numeric summary and an adjacent row change report for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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 independent analytical reports: (1) a grouped numeric summary aggregating the selected metric (processed_rows or duration_seconds) by dataset_group, and (2) an adjacent row change report showing value differences between consecutive rows — both computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline throughput group comparison
“I've got 50 daily transformation logs split across group-a and group-b, each with a date, processed_rows, and duration_seconds — can you run a grouped numeric summary and show me how processed_rows changed between consecutive rows?”
Duration trend analysis across dataset groups
“Here are 120 transformation throughput records across three dataset groups. Can you summarize the duration_seconds by group and also show me the adjacent row-to-row changes in duration_seconds so I can spot any sudden spikes?”
Batch processing audit for consecutive run deltas
“I need to audit my nightly batch jobs — I have 80 transformation records with dates, group names, and processed_rows counts. Can you give me a grouped numeric summary plus a report on how processed_rows changed between each adjacent row?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-091?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular transformation throughput records and need both a grouped statistical summary and adjacent row change detection in a single paid call. It is ideal for ETL monitoring, pipeline auditing, or batch job analytics where you already have the data locally and need offline, reproducible computation without live data fetches or ML predictions.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- Null numeric values may affect aggregate accuracy in grouped summary
- field enum value not matching 'processed_rows' or 'duration_seconds' causes schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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