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Transformation Throughput Analytics — Grouped Summary & Daily Sum Series
x402
Transformation Throughput Analytics — Grouped Summary & Daily Sum 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).
Computes a grouped numeric summary and a daily sum time series for transformation throughput data (processed_rows and duration_seconds) over up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum 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 analytical reports: (1) a grouped numeric summary breaking down processed_rows or duration_seconds statistics (e.g. count, mean, min, max, sum) per dataset_group, and (2) a daily sum time series showing the total of the selected field aggregated by date across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline throughput review
“Here are 50 daily ETL job records across three dataset groups from last month — each has a date, group name, processed_rows, and duration_seconds. Can you give me a grouped numeric summary and a daily sum series for processed_rows so I can see which groups are processing the most data?”
Data pipeline duration benchmarking
“I want to benchmark how long my transformation jobs are taking across two dataset groups over the past two weeks. I have 30 records with dates, group labels, and duration_seconds values — can you produce a grouped summary and a daily sum time series for duration_seconds?”
Daily throughput trend for a single group
“I've got 100 transformation throughput records all from dataset group 'finance-etl' spanning 90 days, each with a date and processed_rows count. Can you compute the grouped numeric summary and show me the daily sum series for processed_rows so I can spot any dips or spikes?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-089?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transformation throughput records (with group labels and dates) and need both a grouped statistical summary and a daily aggregated time series in a single call for $0.01 USDC. Prefer this over general analytics services when your data is already structured with dataset_group, date, processed_rows, and duration_seconds fields and you want two reports bundled together without setting up your own analytics stack.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, dataset_group, processed_rows, duration_seconds) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in processed_rows or duration_seconds may affect aggregate accuracy
- Selecting an unsupported field value (not 'processed_rows' or 'duration_seconds') causes an enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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