{"uid":"cap_hPXvCvTYYLcvds5Lltnu7","slug":"validation-rule-results-duplicate-key-report-numeric-interval-filter-a26b5c1d","name":"Validation Rule Results — Duplicate Key Report + Numeric Interval Filter","description":"Validation rule results — Duplicate key report + Numeric interval filter: Duplicate key report + Numeric interval filter 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-08-059?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_C5OcTv_GZM-xjL3UAEKnF","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 filter rows by a numeric interval on passed_rules or total_rules fields.","exampleAgentPrompt":"Check my validation results for duplicate row IDs and filter to only rows where passed_rules is between 5 and 50 — here are the records: row-1 (group-a, 2026-10-01, passed=10, total=1), row-2 (group-b, 2026-10-02, passed=20, total=2), row-1 (group-a, 2026-10-03, passed=15, total=3).","exampleUseCases":[{"title":"Detect duplicate row keys in pipeline QA","prompt":"I've got a batch of validation rule results from our data pipeline — can you find any rows with duplicate row IDs? The records include row-1 through row-50 across group-a and group-b, with passed_rules and total_rules values for each day in October 2026."},{"title":"Filter validation records by passing rule threshold","prompt":"From my validation dataset, show me only the records where total_rules falls between 10 and 100 — I want to focus on mid-range rule counts and also flag any duplicate row IDs in the same pass."},{"title":"Audit dataset group quality scores","prompt":"I need to audit group-a's validation records for duplicates and filter on passed_rules between 0 and 25, using this dataset: row-1 (group-a, 2026-10-01, passed=10, total=1), row-2 (group-a, 2026-10-02, passed=20, total=4), row-2 (group-a, 2026-10-03, passed=5, total=2)."}],"resultDescription":"Returns a duplicate key report identifying any row_id values that appear more than once in the submitted records, along with the subset of records whose chosen numeric field (passed_rules or total_rules) falls within the specified minimum/maximum interval.","failureModes":["Empty rows array or fewer than 1 item returns a validation error","Rows missing required fields (row_id, dataset_group, date, passed_rules, total_rules) are rejected","Date strings not matching YYYY-MM-DD pattern cause schema rejection","More than 200 rows submitted exceeds the maxItems limit and returns an error","minimum greater than maximum may return an empty filtered result set","numeric values outside ±1,000,000,000,000 are rejected by schema"],"whenToPreferThis":"Use this endpoint when you have a batch of validation rule result records and need to simultaneously identify duplicate row keys AND filter the records to a numeric range on passed_rules or total_rules. Ideal for data quality pipelines where you need both deduplication detection and interval-based subsetting in a single call. Not suited for general-purpose duplicate detection outside validation rule contexts or for non-numeric field filtering.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:11.675Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-duplicate-key-report-numeric-interval-filter-a26b5c1d"}