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Data Pipeline Runs – Trailing Mean Series
x402
Data Pipeline Runs – 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 2026-10-17).
Computes a rolling/trailing mean time series for data pipeline run metrics (processed rows or rejected rows) over a specified window, grouped by pipeline.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data pipeline runs - Trailing mean series: Trailing mean series for Data pipeline runs. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded trailing mean series report.
Output
Returns a rolling/trailing mean series computed from the supplied pipeline run records, where each data point represents the average of the chosen metric (processed_rows or rejected_rows) over the specified trailing window, segmented by pipeline name. Up to 200 input records are supported. Output is a bounded local descriptive analytics report with no forecasting or external enrichment.
Example use cases
Smoothing ETL throughput over time
“I have 90 days of daily pipeline run data for three ETL pipelines and I want to see a 7-day trailing mean of processed_rows for each one — can you compute the rolling average series so I can spot trends without day-to-day noise?”
Monitoring rejection rate trends
“Can you calculate a 5-day rolling mean of rejected_rows for my two pipelines — ingestion-pipeline and transform-pipeline — using the last 60 days of run data, so I can see if rejection rates are trending up or down?”
Comparing pipeline stability week over week
“I want to smooth out the processed_rows numbers for my data pipeline runs using a trailing mean with a window of 14 days — here's my dataset of daily runs for pipeline-alpha and pipeline-beta over the past quarter. Can you run that analysis?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw time-series pipeline run data and need a quick, cheap ($0.01 USDC) local descriptive rolling average — no external data sources, no forecasting, no enrichment. Ideal for smoothing noisy daily pipeline metrics (processed or rejected rows) for a small set of pipelines when you want a trailing mean report rather than forecasts or anomaly detection.
Side effects
- Fewer records than the window size yields no or partial mean values for early rows
- Missing or null metric values for processed_rows or rejected_rows may reduce window coverage
- Malformed date strings not matching YYYY-MM-DD pattern will cause validation errors
- Providing more than 200 rows exceeds the maxItems limit and will be rejected
- Window value below 2 or above 200 will fail schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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