{"uid":"cap_9kXCUkR8YD2hWBywOSFju","slug":"validation-rule-results-grouped-numeric-summary-numeric-interval-filter-a723dcdd","name":"Validation Rule Results — Grouped Numeric Summary + Numeric Interval Filter","description":"Validation rule results — Grouped numeric summary + Numeric interval filter: Grouped numeric summary + 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-08-088?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_qLw-pvaPECuIsgQzfEIYZ","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 by producing a grouped numeric summary and a numeric interval filter report for passed_rules and total_rules fields, processing up to 200 rows locally.","exampleAgentPrompt":"I have 150 validation rule result records with passed_rules and total_rules values across dataset groups like 'group-a' and 'group-b' — can you group and summarize them numerically and also filter to only rows where passed_rules is between 0 and 100?","exampleUseCases":[{"title":"Data quality audit by dataset group","prompt":"I have my validation results for October — 80 rows across dataset groups 'finance', 'hr', and 'ops' with passed_rules and total_rules counts. Can you give me a grouped numeric summary by dataset group and filter to rows where total_rules is between 1 and 50?"},{"title":"Monitoring rule pass rates within bounds","prompt":"I want to check which of my 120 validation rule result records fall within a passed_rules range of 10 to 200, grouped by their dataset group — can you run the grouped summary and interval filter on them?"},{"title":"Comparing rule coverage across pipeline stages","prompt":"Here are 60 validation records from our data pipeline, each tagged with a pipeline stage as the dataset group and having passed_rules and total_rules values. Please summarize them by group and show me only the rows where passed_rules is between 5 and 75."}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary of passed_rules or total_rules values broken down by dataset_group, and (2) a numeric interval filter that subsets rows where the selected field falls within the specified minimum and maximum bounds. Up to 200 input rows are processed locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes validation error","Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) results in schema rejection","Minimum value greater than maximum value may produce empty interval filter results","Null numeric values in passed_rules or total_rules may be excluded from summary statistics","Payment of 0.01 USDC not completed — endpoint returns 402 error"],"whenToPreferThis":"Choose this endpoint when you need both a grouped breakdown of numeric validation rule metrics (passed_rules or total_rules) by dataset_group AND want to filter rows to a specific numeric interval in a single API call. It is ideal for small-to-medium batch analysis (up to 200 rows) of data quality validation results without requiring external data access, live lookups, or predictions. Prefer it over general analytics tools when you specifically have validation rule result records with a group dimension and need quick in-memory statistical summaries.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:40.911Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-grouped-numeric-summary-numeric-interval-filter-a723dcdd"}