{"uid":"cap_DhjyK_rEC91jYvw0ZHv1Q","slug":"validation-rule-results-duplicate-key-report-category-frequencies-1f6b65c7","name":"Validation Rule Results — Duplicate Key Report & Category Frequencies","description":"Validation rule results — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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-08-057?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_m4PjkY-PPJBo3aM3U3gQo","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 validation rule result records to detect duplicate row keys and compute category-level frequencies of passed/total rules per dataset group.","exampleAgentPrompt":"Check these 4 validation records for duplicate row IDs and give me a frequency breakdown by dataset group — rows are row-1 through row-4, dated 2026-10-01 to 2026-10-04, groups are group-a and group-b, with passed_rules of 10, 20, 15, 30 and total_rules of 1, 2, 3, 4.","exampleUseCases":[{"title":"Audit pipeline validation for duplicate keys","prompt":"I have a batch of 50 validation rule records from my ETL pipeline — can you check them for any duplicate row IDs and tell me how often each dataset group shows up? Here are the rows with their dates, passed_rules, and total_rules values."},{"title":"Category frequency report for data quality dashboard","prompt":"For my data quality dashboard, analyze these validation results from October and give me the frequency of each dataset_group category along with any duplicate row keys you find across the 120 records I'm sending."},{"title":"Detect key collisions in multi-source validation logs","prompt":"We're merging validation logs from two sources and I'm worried about row_id collisions — can you run a duplicate key report on these records and also show me how the groups are distributed by frequency?"}],"resultDescription":"Returns a duplicate key report identifying any row_ids that appear more than once across the submitted records, along with category frequency counts showing how often each dataset_group value appears and potentially summarizing passed/total rule statistics per category.","failureModes":["Empty rows array or missing required fields (row_id, dataset_group, date, passed_rules, total_rules) causes validation error","More than 200 rows submitted exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 range rejected","Payment failure via x402 protocol blocks request"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously detect duplicate row identifiers and compute category-level frequency distributions from validation rule result records (passed_rules, total_rules). Ideal for data quality auditing pipelines where you want both key-collision detection and group-level aggregation in a single call for up to 200 records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T12:43:31.552Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-duplicate-key-report-category-frequencies-1f6b65c7"}