{"uid":"cap_nqvqk8s4RV3dL00GhCAfj","slug":"validation-rule-results-duplicate-key-report-adjacent-row-changes-164b4f00","name":"Validation Rule Results — Duplicate Key Report + Adjacent Row Changes","description":"Validation rule results — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes 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-08-062?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_5j83qyFUfYRQHBSFWPowL","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 identify adjacent row-to-row changes in passed_rules or total_rules metrics.","exampleAgentPrompt":"Can you run a duplicate key and adjacent row change report on my validation rule results? I have records for dataset groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04, with row IDs row-1 through row-4, and I want to analyze the passed_rules field.","exampleUseCases":[{"title":"Data pipeline duplicate key audit","prompt":"I need to check my validation rule results for duplicate row IDs — I have about 50 records across dataset groups 'finance' and 'ops' spanning the last two weeks, and I want to flag any duplicate keys and see how passed_rules changed between adjacent rows."},{"title":"Daily data quality change monitoring","prompt":"Can you analyze yesterday's validation run records and show me where total_rules changed between consecutive rows for my 'prod-etl' dataset group? I want to spot any unexpected jumps or drops."},{"title":"QA report for multi-group validation output","prompt":"I have validation rule results for three dataset groups — 'billing', 'inventory', and 'customers' — with row IDs and dates for October. Please generate a duplicate key report and show adjacent row changes for passed_rules so I can catch any data integrity issues before the monthly review."}],"resultDescription":"Returns a duplicate key report identifying any row_ids that appear more than once in the submitted records, plus an adjacent row change breakdown showing where the selected metric (passed_rules or total_rules) changed between consecutive rows, grouped by dataset_group and ordered by date. Supports up to 200 input records per call.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the maxItems limit","Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection","Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) result in request rejection","Invalid field enum value (anything other than passed_rules or total_rules) causes an error","Numeric values outside the allowed range (-1000000000000 to 1000000000000) are rejected"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit a batch of validation rule results for both duplicate row keys and adjacent row metric changes in a single call. It is specifically designed for data quality monitoring workflows where passed_rules and total_rules are the core metrics, and you need up to 200 records analyzed at once with date-ordered adjacency logic.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:17.573Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-duplicate-key-report-adjacent-row-changes-164b4f00"}