{"uid":"cap_dl3ATqcndBHEuDgKr8IN1","slug":"validation-rule-results-analytics-category-frequencies-two-measure-e07e390e","name":"Validation Rule Results Analytics — Category Frequencies & Two-Measure Correlation","description":"Validation rule results — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation for supplied validation rule results records (passed_rules, total_rules). 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-08-108?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","passed_rules","total_rules"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rules":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"passed_rules":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_rules":1,"passed_rules":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","total_rules":2,"passed_rules":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","total_rules":3,"passed_rules":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","total_rules":4,"passed_rules":30,"dataset_group":"group-b"}],"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_NKrl7CHGVh0_nNMpvyOLB","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 up to 200 rows of validation rule result records, producing two reports: category frequency breakdowns by dataset group and a correlation analysis between passed_rules and total_rules.","exampleAgentPrompt":"Can you run category frequency and correlation analytics on my validation rule results? I have 4 records: row-1 on 2026-10-01 for group-a with 10 passed_rules and 1 total_rules, row-2 on 2026-10-02 for group-b with 20 passed_rules and 2 total_rules, row-3 on 2026-10-03 for group-a with 15 passed_rules and 3 total_rules, and row-4 on 2026-10-04 for group-b with 30 passed_rules and 4 total_rules.","exampleUseCases":[{"title":"Data quality audit by team","prompt":"I've got validation results from three teams — alpha, beta, and gamma — across 50 daily records from October 2026. Can you run category frequency and two-measure correlation reports on passed_rules vs total_rules for all of them so I can see which groups have the best compliance and whether passing more rules tracks with having more rules overall?"},{"title":"Pipeline health check summary","prompt":"Run a frequency breakdown and correlation analysis on my CI pipeline validation data — I have 120 records across pipeline-a and pipeline-b from the past month, each with passed_rules and total_rules counts, and I want to know how the groups compare and whether the two metrics move together."},{"title":"Regulatory rule compliance review","prompt":"We have 80 compliance check records from our regulatory dataset, split across three dataset groups: finance, hr, and operations, dated through Q3 2026. Can you compute category frequencies per group and run the correlation between passed_rules and total_rules so we can report on which areas are most compliant?"}],"resultDescription":"Returns two analytical reports for the submitted rows: (1) a category frequency report showing how often each dataset_group value appears across the dataset, and (2) a two-measure correlation report showing the statistical relationship between passed_rules and total_rules across all submitted records. Processing is local (no external lookups) and covers up to 200 rows per call.","failureModes":["Submitting more than 200 rows returns an error or truncates results","Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) cause validation failure","Dates not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array is not accepted (minItems: 1)","Null values in passed_rules or total_rules may affect correlation computation"],"whenToPreferThis":"Choose this endpoint when you need both a categorical frequency breakdown and a two-measure correlation analysis on validation rule records (passed_rules, total_rules) in a single low-cost call. It is ideal for data quality monitoring workflows where you want to understand group-level distributions and metric correlations without external computation infrastructure. It handles up to 200 rows per call and costs only $0.01 USDC for both reports together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T12:51:34.055Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-analytics-category-frequencies-two-measure-e07e390e"}