{"uid":"cap_lcqZAbmzKBwTIibhzN8D_","slug":"pipeline-durations-analytics-numeric-distribution-trailing-mean-series-c8fc3bf2","name":"Pipeline Durations Analytics — Numeric Distribution & Trailing Mean Series","description":"Pipeline durations — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied pipeline durations records (run_seconds, processed_rows). 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-076?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","run_seconds","processed_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"run_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","run_seconds":10,"dataset_group":"group-a","processed_rows":1},{"date":"2026-10-02","row_id":"row-2","run_seconds":20,"dataset_group":"group-b","processed_rows":2},{"date":"2026-10-03","row_id":"row-3","run_seconds":15,"dataset_group":"group-a","processed_rows":3},{"date":"2026-10-04","row_id":"row-4","run_seconds":30,"dataset_group":"group-b","processed_rows":4}],"maxItems":200,"minItems":1},"field":{"enum":["run_seconds","processed_rows"],"type":"string","default":"run_seconds"},"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_Jjqyar4ISFtygkB5Rbrq2","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 numeric distribution and a trailing mean time series for pipeline duration metrics (run_seconds or processed_rows) from up to 200 supplied records.","exampleAgentPrompt":"Analyze the distribution and trailing mean of run_seconds for my pipeline runs — here are 4 records: row-1 on 2026-10-01 group-a ran 10s processing 1 row, row-2 on 2026-10-02 group-b ran 20s processing 2 rows, row-3 on 2026-10-03 group-a ran 15s processing 3 rows, row-4 on 2026-10-04 group-b ran 30s processing 4 rows — use a window of 3.","exampleUseCases":[{"title":"ETL pipeline runtime spread analysis","prompt":"I have daily ETL job records for the past month and want to understand the distribution of run_seconds and how the trailing mean shifts over time — can you run both reports on these 50 rows with a window of 7?"},{"title":"Data processing throughput trending","prompt":"Can you analyze the numeric distribution and rolling mean for processed_rows across these pipeline runs grouped by dataset_group? I've got 120 records and want a window of 5."},{"title":"Slow pipeline outlier investigation","prompt":"Our pipeline run times have been erratic lately — can you compute the distribution and trailing mean of run_seconds for these 30 records with a window of 4 so I can see where the spikes are?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution (histogram-style bin breakdown) of the selected field (run_seconds or processed_rows), and (2) a trailing mean time series computed over the specified rolling window — both derived from the supplied pipeline duration records using local analytical engines.","failureModes":["Fewer than 1 row supplied returns an error","More than 200 rows submitted exceeds the item limit","Window size smaller than 2 or larger than 200 is rejected","Malformed date strings not matching YYYY-MM-DD pattern fail validation","Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) cause schema errors","Invalid field enum value (not run_seconds or processed_rows) returns an error"],"whenToPreferThis":"Choose this endpoint when you already have pipeline duration data in hand and need both a numeric distribution and a trailing mean series computed locally without any external data lookups, predictions, or live connections. Ideal for post-run ETL analytics, performance auditing, or trend detection on up to 200 pipeline execution records at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:10.291Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-numeric-distribution-trailing-mean-series-c8fc3bf2"}