{"uid":"cap_nmVmtYu8foWWrD9DEq6nI","slug":"validation-rule-results-analytics-record-quality-audit-string-d709c76f","name":"Validation Rule Results Analytics — Record Quality Audit, String Normalisation & Numeric Row Ordering","description":"Validation rule results — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied validation rule results records (passed_rules, total_rules). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-08-196?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_pYLRRH5ZKdNwQEPqc5tXw","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":"Runs three local analytical reports on user-supplied validation rule results data: a record quality audit, string normalisation, and numeric row ordering for passed_rules and total_rules fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric row ordering on my validation results — I have rows with row_id, dataset_group, date, passed_rules, and total_rules fields — and focus the numeric ordering on the passed_rules column?","exampleUseCases":[{"title":"Data pipeline quality audit","prompt":"I have up to 50 rows of validation results from our ETL pipeline, each with a row_id, dataset_group, date, passed_rules, and total_rules. Can you run a full quality audit, normalise the string fields, and order them by total_rules?"},{"title":"Multi-group pass rate analysis","prompt":"I've got validation records for two dataset groups — group-a and group-b — with dates, passed_rules, and total_rules per row. Run the three analytics reports on them and focus the numeric ordering on passed_rules so I can see which rows are underperforming."},{"title":"Cleaning and ranking validation logs","prompt":"Here are my validation log rows with row IDs, group names, dates, and rule counts for passed and total rules. Please normalise the text fields, flag any quality issues, and rank the rows by their passed_rules values."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging completeness and anomalies in the supplied rows, (2) a string normalisation report cleaning and standardising text fields like row_id and dataset_group, and (3) a numeric row ordering report ranking rows by the chosen field (passed_rules or total_rules). All reports are computed locally from the supplied data with no external lookups.","failureModes":["Rows array is empty or missing — request rejected","More than 200 rows supplied — exceeds maximum limit","Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) in one or more rows — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Field enum value not in ['passed_rules','total_rules'] — rejected","Null numeric values for all rows may degrade numeric ordering report quality"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of validation rule results data and need three bundled local analytics reports — quality audit, string normalisation, and numeric ordering — in a single low-cost call without requiring any live lookups, external data enrichment, or predictions. It is especially suited for data pipeline operators who want a quick, cheap, self-contained assessment of their rule pass/fail records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:33.506Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-analytics-record-quality-audit-string-d709c76f"}