{"uid":"cap_4p_MrLAn4LA9TQj1roJD_","slug":"data-validation-results-two-measure-correlation-9d5d0c58","name":"Data Validation Results – Two-Measure Correlation","description":"Data validation results - Two-measure correlation: Two-measure correlation for Data validation results. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded two-measure correlation report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-correlation?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","rule","date","checked_records","failed_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"rule":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"failed_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","rule":"group-a","row_id":"row-1","failed_records":1,"checked_records":10},{"date":"2026-10-02","rule":"group-b","row_id":"row-2","failed_records":2,"checked_records":20},{"date":"2026-10-03","rule":"group-a","row_id":"row-3","failed_records":3,"checked_records":15},{"date":"2026-10-04","rule":"group-b","row_id":"row-4","failed_records":4,"checked_records":30}],"maxItems":200,"minItems":1}}},"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_w68l7cJ8Q-eqMi0KbK1um","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 two-measure correlation (e.g., checked_records vs. failed_records) over up to 200 typed data validation records, returning a local descriptive analytics report with no enrichment or forecasting.","exampleAgentPrompt":"Can you run a two-measure correlation on my data validation results? Here are my records — each has a date, a rule name, checked_records, and failed_records — I want to see how strongly those two measures are correlated across the dataset.","exampleUseCases":[{"title":"Daily validation rule quality check","prompt":"I have about 50 data validation log entries from last month, each with a rule name, date, number of records checked, and number of records that failed. Can you compute the correlation between checked_records and failed_records so I know if rules with more volume also tend to fail more?"},{"title":"Comparing two rule groups statistically","prompt":"I've got validation results split across two rule groups, group-a and group-b, over the past quarter — each row has checked and failed counts. Run a two-measure correlation report on these records and tell me what the relationship looks like."},{"title":"Data quality regression investigation","prompt":"Our data quality team flagged a possible relationship between how many records we check and how many fail each day. I have 120 rows of daily validation results with checked_records and failed_records — can you calculate the correlation between those two measures?"}],"resultDescription":"Returns a bounded two-measure correlation report summarizing the statistical relationship between checked_records and failed_records across the supplied validation rows. Includes a correlation coefficient and descriptive analytics derived locally from the submitted dataset, with no external enrichment or forecasting.","failureModes":["Fewer than 1 row submitted — returns validation error","More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, rule, date, checked_records, failed_records) — schema validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Numeric values outside allowed range — schema rejection","Insufficient variance in either measure to compute meaningful correlation — may return null or zero correlation"],"whenToPreferThis":"Choose this endpoint when you need a quick, local, descriptive two-measure correlation between checked_records and failed_records in a bounded dataset of up to 200 data validation records, without needing external data enrichment, forecasting, or multi-measure analysis. Ideal for data quality teams running lightweight statistical checks on validation pipeline outputs at low cost ($0.01 USDC per report).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:20.854Z","isFirstParty":false,"canonicalSlug":"data-validation-results-two-measure-correlation-9d5d0c58"}