{"uid":"cap_w8VY0NfctpoooIXAEbKKL","slug":"pipeline-durations-numeric-row-ordering-two-measure-correlation-18c06b3f","name":"Pipeline Durations — Numeric Row Ordering + Two-Measure Correlation","description":"Pipeline durations — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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-05-120?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_60VYMGaReIWJp9ncKFVg5","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":"Analyzes pipeline duration records by ranking rows numerically and computing correlation between run_seconds and processed_rows metrics, delivering two analytical reports in a single call.","exampleAgentPrompt":"I have 4 pipeline run records with dates, run_seconds, and processed_rows values — can you rank them numerically by run_seconds and also compute the correlation between run_seconds and processed_rows across all rows?","exampleUseCases":[{"title":"ETL job performance ranking","prompt":"I have a week of pipeline runs logged with their durations and row counts — can you rank all 50 rows numerically by run_seconds and tell me the correlation between how long they ran and how many rows they processed?"},{"title":"Dataset group throughput analysis","prompt":"I've got 120 pipeline records split across two dataset groups with run_seconds and processed_rows filled in — please order them by run_seconds and check whether longer-running jobs actually process more rows by computing their correlation."},{"title":"Pipeline efficiency audit","prompt":"Can you take these 80 pipeline duration entries and give me a numeric row ordering by processed_rows plus a correlation report showing how run_seconds and processed_rows relate to each other?"}],"resultDescription":"Returns two analytical reports: (1) a numeric row ordering that ranks the submitted pipeline records by the selected field (run_seconds or processed_rows), and (2) a two-measure correlation analysis quantifying the relationship between run_seconds and processed_rows across all supplied rows. No external data is fetched; analysis is performed entirely on the submitted records (up to 200 rows).","failureModes":["More than 200 rows submitted — request rejected, reduce to 200 or fewer","Missing required fields (row_id, date, run_seconds, processed_rows) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","All run_seconds or processed_rows values are null — correlation cannot be computed","Malformed JSON body — 400 error","Payment not included or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both a ranked ordering of pipeline records AND a correlation analysis between two numeric pipeline metrics in a single paid call. It is purpose-built for pipeline duration data (run_seconds, processed_rows) and bundles two reports for $0.01 USDC, making it efficient compared to calling separate analytics endpoints. Prefer it when your data fits within 200 rows and you do not need predictions, external lookups, or real-time data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:36.607Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-numeric-row-ordering-two-measure-correlation-18c06b3f"}