{"uid":"cap_uSMta0i4HdIWgCjxsu3u7","slug":"record-routing-analytics-adjacent-row-changes-two-measure-correlation-d270985f","name":"Record Routing Analytics — Adjacent Row Changes & Two-Measure Correlation","description":"Record routing — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation for supplied record routing records (accepted_records, rejected_records). 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-19-158?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"}}},"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_-WYPkb4SAFAXwOpdFatVc","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 record routing data (accepted_records, rejected_records) by computing adjacent row changes and a two-measure correlation report for up to 200 rows.","exampleAgentPrompt":"Can you run an adjacent row change analysis and two-measure correlation on my record routing data? Here are up to 200 rows with accepted_records and rejected_records fields — I want the report focused on the accepted_records field.","exampleUseCases":[{"title":"ETL pipeline quality daily review","prompt":"I have daily routing records from my ETL pipeline with accepted_records and rejected_records counts per group — can you compute the adjacent row changes and correlation between these two measures so I can spot where the pipeline degraded?"},{"title":"Detecting routing anomalies across groups","prompt":"Here's my record routing table for October with dataset_group, accepted_records, and rejected_records — run the adjacent row change report on accepted_records and show me if rejected_records correlates with accepted_records across the sequence."},{"title":"Data ingestion audit for two metrics","prompt":"I need to audit my data ingestion logs: I have up to 150 rows with dates, groups, accepted counts, and rejected counts — please generate the adjacent row delta report and the two-measure correlation analysis for accepted_records."}],"resultDescription":"Returns two independent analytical reports: (1) an adjacent row changes report showing how accepted_records or rejected_records shift between consecutive rows, and (2) a two-measure correlation report quantifying the statistical relationship between accepted_records and rejected_records across the supplied dataset. Both reports are computed locally on the supplied data (no external lookups).","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, accepted_records, rejected_records) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Null values in both measure columns may reduce correlation reliability","Invalid field enum value (not 'accepted_records' or 'rejected_records') — rejected"],"whenToPreferThis":"Choose this endpoint when you have tabular record routing data (with accepted and rejected record counts) and need both a sequential row-change analysis and a correlation between the two measures in a single low-cost call. It is ideal for lightweight ETL monitoring, pipeline auditing, and data quality reviews where you already have the data and need local statistical computation rather than live lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:51:28.381Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-adjacent-row-changes-two-measure-correlation-d270985f"}