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Transformation Throughput — Trailing Mean Series + Secondary-Measure Weighted Mean
x402
Transformation Throughput — Trailing Mean Series + Secondary-Measure 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 trailing mean time-series and a secondary-measure weighted mean for transformation throughput records (processed_rows, duration_seconds) over up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Trailing mean series + Secondary-measure weighted mean: Trailing mean 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 independent analytical reports: (1) a trailing mean time-series for the specified field (processed_rows or duration_seconds) computed over the given sliding window, and (2) a secondary-measure weighted mean where one measure is weighted by the other — both derived entirely from the supplied row data without any external lookups.
Example use cases
ETL pipeline throughput trend analysis
“I have daily ETL job records with processed_rows and duration_seconds for two dataset groups over the past 3 months — can you compute the trailing mean series with a window of 14 and also get the weighted mean of processed_rows weighted by duration_seconds?”
Data warehouse load performance review
“Here are 120 rows of my data warehouse load jobs with dates, dataset groups, processed rows, and duration seconds — please generate a trailing mean series using a window of 5 for processed_rows and also the weighted mean report.”
Comparing batch processing efficiency across groups
“I want to understand how my batch processing throughput has trended — I have 80 records with processed_rows and duration_seconds across multiple dataset_groups. Run a trailing mean with window size 10 on duration_seconds and give me the secondary-measure weighted mean too.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-151?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time-series AND a weighted mean statistic for transformation throughput data (processed_rows and duration_seconds) in a single low-cost call. It is ideal for offline analytical batch summaries of ETL or data pipeline performance records where no external data, predictions, or live lookups are needed — and when your dataset fits within 200 rows.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, processed_rows, duration_seconds) causes validation error
- Window size larger than the number of input rows may produce incomplete or empty trailing series
- Null values in processed_rows or duration_seconds may affect weighted mean calculation
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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