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Transformation Throughput Analytics: Daily Sum Series + Weighted Mean
x402
Transformation Throughput Analytics: Daily Sum Series + 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 a daily sum time series and a secondary-measure weighted mean for transformation throughput records (processed_rows, duration_seconds) over up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Daily sum series + Secondary-measure weighted mean: Daily sum series + 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 analytical reports: (1) a daily sum time series for the selected field (processed_rows or duration_seconds) across all supplied rows, and (2) a secondary-measure weighted mean computed using the other field as the weight. Results are derived entirely from the supplied data using local analytical engines — no external lookups or predictions are made.
Example use cases
ETL pipeline daily throughput summary
“Here are logs from my ETL jobs over the last month — each row has a date, dataset group, processed_rows, and duration_seconds. Can you compute the daily sum of processed_rows as a time series and also give me the weighted mean for duration_seconds?”
Data warehouse load performance review
“I've got 150 rows of warehouse load records with processed_rows and duration_seconds per day. Run the daily sum series and weighted mean analysis on the processed_rows field so I can see where throughput peaked or dipped.”
Multi-group transformation benchmarking
“We have two dataset groups — group-a and group-b — and I want to understand daily totals and the weighted average duration across both. Here are 80 rows of transformation throughput data; please give me the daily sum series and secondary-measure weighted mean.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-142?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, self-contained computation of daily aggregated throughput metrics (sum time series + weighted mean) from your own supplied records, without requiring any external data source, live lookup, or ML prediction. Ideal for data engineers who want quick statistical summaries of pipeline performance logs (up to 200 rows) at low cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected
- Missing required fields (row_id, date, processed_rows, duration_seconds) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — parsing failure
- Null values in both primary and secondary measure fields making weighted mean undefined
- Field enum value not one of 'processed_rows' or 'duration_seconds' — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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