{"uid":"cap_j7fzgpV6UcplGW6kP7bgh","slug":"validation-rule-results-string-normalisation-grouped-numeric-summary-f7bbf6d6","name":"Validation Rule Results — String Normalisation + Grouped Numeric Summary","description":"Validation rule results — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-08-023?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_GfiEFb0EXOOX2HKGL9F41","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 (passed_rules, total_rules) by producing a string normalisation report and a grouped numeric summary, up to 200 rows per call.","exampleAgentPrompt":"Can you normalize the labels and give me a grouped numeric summary of my validation rule results? I have 4 rows covering groups 'group-a' and 'group-b' from October 2026, each with passed_rules and total_rules counts — I want to analyze passed_rules.","exampleUseCases":[{"title":"Data pipeline quality audit","prompt":"I have 50 rows of validation rule outcomes from my ETL pipeline, each tagged with a dataset_group and a date. Can you normalize the group labels and give me a grouped numeric summary of passed_rules so I can see which groups are performing best?"},{"title":"Weekly compliance rule review","prompt":"Every week I get a batch of rule results with passed_rules and total_rules per dataset group. Can you run the string normalisation and grouped numeric summary on these 120 rows so I know where our compliance is weakest?"},{"title":"Cross-group validation comparison","prompt":"I want to compare total_rules counts across my dataset groups — I have 80 records from November 2025 across groups 'finance', 'ops', and 'hr'. Can you normalize the group names and give me a grouped numeric breakdown of total_rules?"}],"resultDescription":"Returns two independent analytical reports for the supplied rows: (1) a string normalisation report that standardizes text fields such as dataset_group labels, and (2) a grouped numeric summary that aggregates the chosen field (passed_rules or total_rules) across dataset_group categories, covering up to 200 rows per call.","failureModes":["Fewer than 1 row submitted — violates minItems constraint","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) — schema pattern mismatch","Missing required fields (row_id, dataset_group, date, passed_rules, or total_rules) — validation error","Numeric values outside allowed range (-1e12 to 1e12) — schema violation","Invalid field enum value (must be 'passed_rules' or 'total_rules') — request rejected"],"whenToPreferThis":"Choose this endpoint when you have structured validation rule result records (with passed_rules, total_rules, dataset_group, and date fields) and need both a string normalisation pass and a grouped numeric summary in a single low-cost call. Ideal for data quality monitoring pipelines, ETL audit workflows, and compliance reporting where you need quick batch analytics on up to 200 rows without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:32.371Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-string-normalisation-grouped-numeric-summary-f7bbf6d6"}