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Transformation Throughput Analytics — Daily Sum + Trailing Mean Series
x402
Transformation Throughput Analytics — Daily Sum + Trailing Mean 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 daily sum time series and a trailing moving-average series for transformation throughput metrics (processed_rows or duration_seconds) from supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Daily sum series + Trailing mean series: Daily sum series + Trailing mean 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 independent analytical reports computed from the supplied rows: (1) a daily sum series aggregating the chosen metric (processed_rows or duration_seconds) by date, and (2) a trailing moving-average series using the specified window size. Up to 200 input rows supported; all computation is local with no external lookups.
Example use cases
ETL pipeline daily throughput summary
“I have a list of transformation run records from last month — each has a date, dataset group, and how many rows were processed. Can you compute the daily total rows processed and show me a trailing 5-day moving average so I can spot trends?”
Data pipeline duration trend smoothing
“My pipeline logs show duration_seconds for each transformation job across multiple dataset groups over 90 days. Can you aggregate the daily total duration and compute a rolling mean with a window of 10 so I can see where processing is slowing down?”
Multi-group throughput comparison over time
“I've got transformation records from two dataset groups — 'group-a' and 'group-b' — with dates and processed_rows counts. Run both a daily sum series and a trailing mean series with window 3 on processed_rows so I can compare their throughput patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-136?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw transformation or ETL pipeline records and need both a daily aggregation and a smoothed trailing-mean series in a single paid call. It is purpose-built for pipeline throughput metrics (rows processed, job duration) and bundles two complementary time-series reports for $0.01 USDC, making it efficient for lightweight analytical reporting without external dependencies or live data sources.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, processed_rows, duration_seconds) on any row — validation error
- Invalid date format (must match YYYY-MM-DD) — schema rejection
- Window parameter outside range 2–200 — validation error
- Field selector not one of 'processed_rows' or 'duration_seconds' — enum error
- Empty rows array — minimum items violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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