{"uid":"cap_XdWRqAPuIxwQH5du9V7JR","slug":"pipeline-durations-analytics-numeric-distribution-two-measure-2cf1e667","name":"Pipeline Durations Analytics: Numeric Distribution + Two-Measure Correlation","description":"Pipeline durations — Numeric distribution + Two-measure correlation: Numeric distribution + Two-measure correlation 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-05-081?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"}}},"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_HeJABRTsnn-cFxKNBX-jp","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 report for pipeline run_seconds and a two-measure correlation report between run_seconds and processed_rows for supplied pipeline duration records (up to 200 rows).","exampleAgentPrompt":"Can you run a numeric distribution and two-measure correlation analysis on these pipeline duration records — I have up to 50 rows each with run_seconds and processed_rows — and tell me how the run time is distributed and whether it correlates with row count?","exampleUseCases":[{"title":"ETL pipeline throughput correlation check","prompt":"I have 120 rows of daily pipeline run logs with run_seconds and processed_rows fields. Can you analyze whether there's a correlation between how long a pipeline runs and how many rows it processes, and also give me the distribution of run times?"},{"title":"Performance anomaly detection in pipelines","prompt":"We've been tracking pipeline durations across two dataset groups over the past quarter — about 80 records with run_seconds and processed_rows. Can you give me the numeric distribution of run_seconds and a correlation report between run time and rows processed so I can spot anomalies?"},{"title":"Data engineering team pipeline benchmarking","prompt":"Our data engineering team wants to benchmark pipeline efficiency. I have 60 records with run_seconds and processed_rows. Can you compute a distribution of the run seconds and check the two-measure correlation between duration and throughput?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution report for the chosen field (run_seconds or processed_rows), including descriptive statistics such as min, max, mean, percentiles, and spread; and (2) a two-measure correlation report quantifying the linear relationship between run_seconds and processed_rows across the supplied rows. No external data is fetched; all analysis is performed locally on the supplied records.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — request rejected with maxItems violation","Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) in any row — validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Null values in numeric fields may reduce correlation reliability","Payment of 0.01 USDC not completed — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pipeline duration records with run_seconds and processed_rows fields and need both a statistical distribution summary and a two-measure correlation report in a single paid call. Ideal for data engineers and analysts who want local, offline-style statistical analysis without sending data to a third-party ML service or standing up their own analytics infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:53:11.647Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-numeric-distribution-two-measure-2cf1e667"}