{"uid":"cap_Ly5PtG9RVc59c2HWf8fWB","slug":"validation-rule-results-duplicate-key-report-numeric-row-ordering-f0693037","name":"Validation Rule Results — Duplicate Key Report + Numeric Row Ordering","description":"Validation rule results — Duplicate key report + Numeric row ordering: Duplicate key report + Numeric row ordering 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-08-058?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_xk8b3v0fpVYKHxSSAxBxu","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":"Detects duplicate row keys and returns numerically ordered validation rule result records (passed_rules, total_rules) for up to 200 input rows.","exampleAgentPrompt":"Check these validation rule results for duplicate row keys and give me a numerically ordered report — I have rows like row-1 through row-4 across dataset groups 'group-a' and 'group-b' with dates from 2026-10-01 to 2026-10-04, and I want to analyze the passed_rules field.","exampleUseCases":[{"title":"Data pipeline duplicate key audit","prompt":"I've got a batch of up to 50 validation records from our ETL pipeline — row IDs like 'pipeline-001' through 'pipeline-050', grouped under 'etl-group', dated 2025-01-01 to 2025-01-10, with passed_rules and total_rules counts. Can you scan them for duplicate row keys and return them in numeric order so I can spot any key collisions?"},{"title":"Dataset group quality check","prompt":"We're auditing data quality for two dataset groups — 'finance-a' and 'finance-b' — and I need to know if any row IDs are duplicated across our validation results. I have about 20 records with dates in March 2025 and values for total_rules. Can you run a duplicate key report and order the rows numerically?"},{"title":"Validation results deduplication before reporting","prompt":"Before I send our weekly data quality report, can you check these 15 validation rule result records for duplicate row_ids? The rows are tagged with dataset group 'weekly-ops', dates from 2025-06-01 to 2025-06-07, and I want to look at the passed_rules field in the output."}],"resultDescription":"Returns a duplicate key report identifying any repeated row_id values among the submitted records, along with all input rows sorted in numeric order. Output covers the specified field (passed_rules or total_rules) across up to 200 rows.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) — validation error","row_id missing or empty string — schema violation","passed_rules or total_rules outside allowed numeric range — rejected","Invalid field enum value — must be 'passed_rules' or 'total_rules'"],"whenToPreferThis":"Choose this endpoint when you need to audit a batch of validation rule result records for duplicate row identifiers and want results returned in numeric row order. It is purpose-built for data quality workflows where passed_rules and total_rules metrics per dataset group need deduplication checks before downstream reporting or aggregation. Best for batches of up to 200 records; not suited for large-scale bulk processing or non-validation domains.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:36:27.800Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-duplicate-key-report-numeric-row-ordering-f0693037"}