{"uid":"cap_zbGgctj4kOV6xmagASLvm","slug":"pipeline-durations-adjacent-row-changes-and-two-measure-correlation-43a9fc17","name":"Pipeline Durations Adjacent Row Changes and Two-Measure Correlation Analyzer","description":"Pipeline durations — Adjacent row changes + Two-measure correlation: Adjacent row changes + 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-05-158?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_UTgSccWkJkvpN-tHMGd70","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 adjacent row-to-row changes and two-measure correlation for pipeline duration records (run_seconds, processed_rows) across up to 200 rows.","exampleAgentPrompt":"Can you run adjacent row change analysis and two-measure correlation on my pipeline duration data — here are 5 records with run_seconds and processed_rows, and I want to focus on run_seconds as the primary field?","exampleUseCases":[{"title":"ETL pipeline performance drift detection","prompt":"I have 50 rows of daily ETL pipeline runs with their run_seconds and processed_rows. Can you compute the adjacent row changes for run_seconds and also check the correlation between run_seconds and processed_rows so I can see if my pipelines are slowing down over time?"},{"title":"Data volume vs duration correlation","prompt":"Here are 120 pipeline execution records across two dataset groups over the last quarter. Run the two-measure correlation between run_seconds and processed_rows — I want to know if processing more rows actually takes proportionally longer."},{"title":"Pipeline batch comparison across groups","prompt":"I've got pipeline run data for group-a and group-b over the past 30 days. Can you calculate the adjacent row-to-row changes in processed_rows and the correlation between run_seconds and processed_rows for all these records?"}],"resultDescription":"Returns two independent analytical reports: (1) adjacent row changes showing delta values between consecutive records for the selected measure, and (2) a two-measure correlation report between run_seconds and processed_rows — all computed locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, run_seconds, processed_rows) on any row causes validation failure","Dates not in YYYY-MM-DD format fail pattern validation","All null values in the selected measure field may yield undefined statistical output","Payment of 0.01 USDC not completed results in 402 response"],"whenToPreferThis":"Choose this endpoint when you have pipeline execution records with run_seconds and processed_rows and need both adjacent row delta analysis and cross-measure correlation in a single call. It is ideal for lightweight, self-contained statistical analysis of up to 200 rows without requiring external data access or a full analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:02.572Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-adjacent-row-changes-and-two-measure-correlation-43a9fc17"}