{"uid":"cap_yA6K4HF4ggaQ_bzfe0J4b","slug":"record-routing-analytics-grouped-summary-two-measure-correlation-96cc9fb7","name":"Record Routing Analytics: Grouped Summary & Two-Measure Correlation","description":"Record routing — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + 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-19-095?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_ZJ6Pp4F-oh29LaePfWL3-","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 grouped numeric summary and a two-measure correlation report for record routing data (accepted_records, rejected_records) across up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and a correlation analysis on my record routing data? I have rows with accepted_records and rejected_records fields, split across group-a and group-b from October 2026 — I want to analyze the accepted_records field.","exampleUseCases":[{"title":"Daily routing pipeline quality check","prompt":"I have daily record routing logs from October 2026 with accepted and rejected record counts for two dataset groups. Can you give me a grouped numeric summary and a correlation report between accepted_records and rejected_records across all 200 rows?"},{"title":"ETL acceptance rate analysis by group","prompt":"We run ETL jobs that produce accepted and rejected record counts for group-a and group-b every day. Can you summarize the accepted_records numerically by group and also show how accepted_records and rejected_records correlate with each other?"},{"title":"Audit data routing anomalies","prompt":"I need to audit our data routing pipeline — I have a CSV with row IDs, dates, dataset groups, and counts of accepted vs rejected records. Please run a grouped summary and a two-measure correlation on the rejected_records field so I can spot anomalies."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary of the selected field (accepted_records or rejected_records) broken down by dataset_group, including aggregate statistics; and (2) a correlation report measuring the linear relationship between accepted_records and rejected_records across all supplied rows. Both reports are computed locally from the supplied data, with no external lookups.","failureModes":["Empty or missing rows array returns a validation error","Row count exceeding 200 items is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null values in both accepted_records and rejected_records for all rows may produce undefined correlation","Missing required fields (row_id, dataset_group, date) cause per-row validation errors","Invalid field enum value (not 'accepted_records' or 'rejected_records') is rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of record routing data with accepted and rejected counts and need both a grouped numeric summary and a correlation analysis in a single low-cost call ($0.01 USDC). It is ideal for lightweight, self-contained statistical analysis of ETL or data pipeline output without needing a full BI platform or live data connection.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:57.780Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-grouped-summary-two-measure-correlation-96cc9fb7"}