{"uid":"cap_LtHQ9FcBy6ToWdRBWKrYw","slug":"validation-rule-results-record-quality-audit-string-normalisation-fecccf41","name":"Validation Rule Results — Record Quality Audit + String Normalisation + Trailing Mean Series","description":"Validation rule results — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series 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-08-199?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_PqsPmLhNRmM6juxEAaD-L","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 validation rule result rows: record quality audit, string normalisation, and a trailing mean series for a chosen numeric field.","exampleAgentPrompt":"Run the three-report analytics bundle on my validation rule results — record quality audit, string normalisation, and trailing mean for passed_rules with a window of 5 — here are my rows: [{\"row_id\":\"r1\",\"dataset_group\":\"groupA\",\"date\":\"2024-01-01\",\"passed_rules\":18,\"total_rules\":20}, {\"row_id\":\"r2\",\"dataset_group\":\"groupA\",\"date\":\"2024-01-02\",\"passed_rules\":15,\"total_rules\":20}].","exampleUseCases":[{"title":"Pipeline data quality review","prompt":"I have 50 rows of validation rule results from our ETL pipeline — can you run the record quality audit, string normalisation, and a trailing mean for total_rules with a window of 7 on all of them?"},{"title":"Sliding window trend for passed rules","prompt":"Compute a trailing mean series for passed_rules with a window size of 10 across my validation results dataset, and also give me the record quality audit and string normalisation reports at the same time."},{"title":"Multi-group validation analytics","prompt":"I've got validation rule results split across two dataset groups, about 120 rows total. Run the full three-report bundle — quality audit, string normalisation, trailing mean on passed_rules with window 4 — so I can compare group-a and group-b."}],"resultDescription":"Three bundled analytical reports: (1) a record quality audit flagging missing, malformed, or anomalous values; (2) a string normalisation report standardising text fields like dataset_group; (3) a trailing mean series for the selected numeric field (passed_rules or total_rules) computed over the specified rolling window across all supplied rows. All analysis is performed locally with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum items validation error","More than 200 rows supplied — maxItems exceeded error","Window size larger than the number of rows — trailing mean may not be computable for early rows","Invalid date format (not YYYY-MM-DD) — pattern validation failure","row_id missing or empty — required field validation error","field enum value not 'passed_rules' or 'total_rules' — enum validation error","passed_rules or total_rules out of the ±1,000,000,000,000 range — numeric bounds error"],"whenToPreferThis":"Choose this endpoint when you need three complementary analytics reports on validation rule result data in a single call: a quality audit, string normalisation, and a rolling mean time series. It is ideal when your dataset has up to 200 rows keyed by row_id, dataset_group, and date, and you want a cost-efficient bundled analysis ($0.01 USDC for all three reports) without needing live lookups, predictions, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:38.068Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-record-quality-audit-string-normalisation-fecccf41"}