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Transformation Throughput Analytics — Trailing Mean Series + Missing-Value Fill
x402
Transformation Throughput Analytics — Trailing Mean Series + Missing-Value Fill 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 moving-average time series and fills missing values in transformation throughput records (processed_rows, duration_seconds) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill 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 trailing mean series showing the rolling average of the selected field (processed_rows or duration_seconds) over the specified window size, and (2) a missing-value fill report where nulls in the selected field are replaced using the chosen method (zero, mean, or median). Results are computed locally with no external calls.
Example use cases
Smooth ETL pipeline throughput spikes
“I have daily processed_rows counts for my ETL jobs over the past month across two dataset groups, and there are some big spikes — can you compute a trailing mean with a window of 5 to smooth things out and fill any nulls with the mean?”
Gap-fill missing duration metrics
“My transformation logs have some missing duration_seconds entries — can you fill those gaps using median imputation and also give me a trailing average series with a window of 3 so I can see the smoothed trend?”
Monitor batch job performance trends
“I want to track how my batch processing speed is trending — here are 150 rows of throughput data by date and dataset group. Can you run a window-2 trailing mean on duration_seconds and fill any missing values with zero?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-154?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both rolling-average smoothing and missing-value imputation applied to transformation throughput data (processed_rows or duration_seconds) in a single API call for up to 200 rows. It is ideal for lightweight, local analytical computation on ETL or data pipeline metrics without requiring an external data warehouse or ML platform. Prefer this over general-purpose analytics services when you need a fast, fixed-cost ($0.01 USDC) two-report bundle specifically designed for throughput time series.
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format (must be YYYY-MM-DD)
- Window size outside allowed range of 2–200
- Missing required fields (row_id, date, processed_rows, duration_seconds)
- Numeric values outside allowed range (±1,000,000,000,000)
- Invalid enum value for field or method parameters
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
Tags
x402
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