{"uid":"cap_MPCBsU491ntn6AX9HJ3cP","slug":"record-routing-analytics-numeric-distribution-two-measure-correlation-5720c79a","name":"Record Routing Analytics — Numeric Distribution & Two-Measure Correlation","description":"Record routing — Numeric distribution + Two-measure correlation: Numeric distribution + 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-19-081?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_3qNgwF2NLOf1-T1RIHULj","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 numeric distribution statistics and two-measure correlation analysis for accepted_records and rejected_records fields in record routing datasets, covering up to 200 rows in a single call.","exampleAgentPrompt":"Can you run a numeric distribution and two-measure correlation analysis on my record routing data? I have 50 rows with date, dataset_group, accepted_records, and rejected_records — analyze the accepted_records field distribution and correlate it with rejected_records.","exampleUseCases":[{"title":"Data pipeline quality audit","prompt":"I have daily record routing logs for October — 30 rows each with accepted_records and rejected_records counts per dataset group. Can you run the numeric distribution and correlation analysis on accepted_records to see how it's spread and how it relates to rejections?"},{"title":"ETL rejection rate pattern analysis","prompt":"We're seeing inconsistent rejection rates in our ETL pipeline. I've got 120 rows of routing records with accepted and rejected counts by date and group — can you compute the numeric distribution and two-measure correlation between accepted_records and rejected_records so I can spot patterns?"},{"title":"Weekly routing health report","prompt":"Generate a distribution and correlation report for our record routing data from last week — I'll give you 80 rows with row_id, date, dataset_group, accepted_records, and rejected_records. Focus the distribution on the rejected_records field and show how the two measures correlate."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (accepted_records or rejected_records), and (2) a two-measure correlation report quantifying the relationship between accepted_records and rejected_records across the supplied rows. Results are computed locally with no external lookups or predictions.","failureModes":["Missing required fields (row_id, date, accepted_records, rejected_records) returns validation error","More than 200 rows submitted exceeds the row limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","All null values in the selected numeric field may produce degenerate or empty distribution output","Payment of 0.01 USDC not included or rejected causes 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have record routing data with accepted and rejected record counts and need both a distribution summary and a correlation between the two measures in a single low-cost call. It is ideal for data pipeline QA, ETL auditing, or batch analytics on up to 200 rows without requiring external data sources or live lookups. Prefer alternatives if you need more than 200 rows, require predictions, or need more than two measures correlated simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:47:49.835Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-numeric-distribution-two-measure-correlation-5720c79a"}