{"uid":"cap_botwq4aDeFhaEDzf9AheI","slug":"record-routing-analytics-two-measure-correlation-explicit-missing-df036ca4","name":"Record Routing Analytics — Two-Measure Correlation + Explicit Missing-Value Fill","description":"Record routing — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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-19-184?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_tYtnPSYJtFkD0MLQ1EMcQ","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 Pearson/rank correlation between accepted_records and rejected_records, and fills missing values (zero/mean/median) in the specified field, for up to 200 record-routing rows in a single paid call.","exampleAgentPrompt":"For this batch of record routing data (up to 200 rows with accepted_records and rejected_records per date and group), can you compute the two-measure correlation between those columns and fill any missing values in rejected_records using the median method?","exampleUseCases":[{"title":"ETL pipeline quality correlation check","prompt":"I have 150 rows of daily record routing logs with accepted_records and rejected_records for two dataset groups across the past quarter — can you compute the correlation between those two measures and tell me how strongly they're related?"},{"title":"Impute missing acceptance counts before reporting","prompt":"Some of my accepted_records values are null in this routing dataset — can you fill in the blanks using the mean of the existing values so I have a complete dataset to work with? Here are the 80 rows."},{"title":"Group-level routing analysis with gap-filling","prompt":"I'm analyzing record routing performance across group-a and group-b for October 2026 — can you run a two-measure correlation on accepted vs rejected records and also fill any missing rejected_records values with zero for the 60 rows I'm supplying?"}],"resultDescription":"Returns two analytical reports: (1) a two-measure correlation report showing the statistical relationship (e.g. Pearson or rank correlation coefficient) between accepted_records and rejected_records across the supplied rows; and (2) a missing-value fill report showing which values in the target field were null and what values were substituted using the chosen method (zero, mean, or median). No external data is fetched; analysis is performed entirely on the supplied rows.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — maxItems limit exceeded","Invalid date format (must be YYYY-MM-DD)","Invalid method enum value — must be zero, mean, or median","Invalid field enum value — must be accepted_records or rejected_records","All values in target field are null — mean/median imputation undefined","Payment of 0.01 USDC not completed — x402 payment required","row_id missing or empty — minLength 1 required"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost ($0.01) combined statistical report — correlation plus missing-value imputation — on record routing data (accepted vs rejected record counts) for up to 200 rows, without any external lookups or live predictions. Ideal for ETL pipeline QA, data quality audits, and pre-analysis gap-filling workflows where the data is already available locally.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:17.747Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-two-measure-correlation-explicit-missing-df036ca4"}