{"uid":"cap_F_Ysig1r2nUBLyPqEFi1K","slug":"validation-rule-results-exact-row-deduplication-numeric-distribution-52acc488","name":"Validation Rule Results — Exact Row Deduplication + Numeric Distribution","description":"Validation rule results — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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-08-039?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},"field":{"enum":["passed_rules","total_rules"],"type":"string","default":"passed_rules"}}},"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_grA8fdBjch-JAdZVLF_ZD","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 validation rule result records by performing exact row deduplication and numeric distribution analysis on passed_rules or total_rules fields.","exampleAgentPrompt":"Can you run exact row deduplication and a numeric distribution report on my validation rule results — I have about 50 records with passed_rules and total_rules values across multiple dataset groups, and I want to analyze the passed_rules field?","exampleUseCases":[{"title":"Deduplicating pipeline validation logs","prompt":"I have 120 validation rule result records from my ETL pipeline with row_id, dataset_group, date, passed_rules, and total_rules columns — can you deduplicate them and give me a numeric distribution of the passed_rules values?"},{"title":"Auditing rule pass rates across dataset groups","prompt":"Run a deduplication check and numeric distribution analysis on my 80 validation result rows grouped by dataset_group, and analyze the total_rules field so I can see how rule counts are spread across groups."},{"title":"Spotting data quality issues in rule results","prompt":"I suspect there are duplicate rows in my validation results dataset — can you deduplicate the 200 records I have and also show me the numeric distribution of passed_rules to spot any anomalies?"}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication report identifying duplicate records across the supplied rows, and (2) a numeric distribution report for the selected field (passed_rules or total_rules), covering up to 200 input rows. All analysis is performed locally with no external lookups.","failureModes":["Input exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) cause validation errors","Invalid date format (must match YYYY-MM-DD) triggers schema rejection","Numeric values outside the allowed range cause input rejection","Empty rows array (minItems: 1 not met) returns an error","Invalid field enum value (must be passed_rules or total_rules) causes failure"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and numeric distribution analysis on validation rule result data in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want to identify duplicate records and understand the statistical spread of rule pass/fail counts without any external data lookups or live integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:38.784Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-exact-row-deduplication-numeric-distribution-52acc488"}