{"uid":"cap_L-wwTxTt22Xer7Cu_E5HI","slug":"data-pipeline-runs-trailing-mean-series-82329713","name":"Data Pipeline Runs – Trailing Mean Series","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-rolling?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","pipeline","date","processed_rows","rejected_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"pipeline":{"type":"string","default":"","maxLength":80},"rejected_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","pipeline":"group-a","rejected_rows":1,"processed_rows":10},{"date":"2026-10-02","row_id":"row-2","pipeline":"group-b","rejected_rows":2,"processed_rows":20},{"date":"2026-10-03","row_id":"row-3","pipeline":"group-a","rejected_rows":3,"processed_rows":15},{"date":"2026-10-04","row_id":"row-4","pipeline":"group-b","rejected_rows":4,"processed_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["processed_rows","rejected_rows"],"type":"string","default":"processed_rows"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_wfbiSm4JrKsCP2C1zRXOp","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes a rolling/trailing mean time series for data pipeline run metrics (processed rows or rejected rows) over a specified window, grouped by pipeline.","exampleAgentPrompt":"Can you compute a trailing mean series for processed_rows across my pipeline runs using a window of 7, grouping by pipeline? Here are my records: pipeline-a processed 500 rows on 2024-01-01, pipeline-b processed 300 on 2024-01-02, and so on for the past 30 days.","exampleUseCases":[{"title":"Smoothing ETL throughput over time","prompt":"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?"},{"title":"Monitoring rejection rate trends","prompt":"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?"},{"title":"Comparing pipeline stability week over week","prompt":"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?"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:20.454Z","isFirstParty":false,"canonicalSlug":"data-pipeline-runs-trailing-mean-series-82329713"}