{"uid":"cap_OHN8KrnVcH5KxIwLFHWn9","slug":"validation-rule-results-string-normalisation-trailing-mean-series-80584b1b","name":"Validation Rule Results — String Normalisation + Trailing Mean Series","description":"Validation rule results — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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-08-028?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_J95uPUdG06bZ5QTLz1MMP","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 string normalisation and trailing mean series analytics on validation rule result records (passed_rules, total_rules) for up to 200 rows, returning 2 independent local reports.","exampleAgentPrompt":"Can you run a trailing mean analysis on my validation rule results using a window of 5, focusing on the passed_rules field? Here are my rows with row_id, date, dataset_group, passed_rules, and total_rules — I want the string normalization report too.","exampleUseCases":[{"title":"Data Quality Trend Monitoring","prompt":"I have 60 rows of daily validation results with passed_rules and total_rules per dataset group. Can you compute the trailing mean of passed_rules over a window of 7 days and also normalize the string labels in the dataset, so I can spot quality trends?"},{"title":"Smoothing Noisy Rule Counts","prompt":"My total_rules counts are pretty noisy day-to-day. Can you run a trailing mean with a window of 10 on the total_rules field across my 150 validation records, and include the string normalization report for the dataset_group names?"},{"title":"Multi-Group Validation Summary","prompt":"I've got validation rule results for two dataset groups — group-a and group-b — across 30 dates. Please normalize the string fields and compute a trailing mean of passed_rules with a window of 3, so I can compare how each group is trending."}],"resultDescription":"Returns 2 analytical reports: (1) string normalization output for dataset_group and related text fields across the submitted rows, and (2) a trailing mean time series for the selected numeric field (passed_rules or total_rules) computed with the specified window size, covering up to 200 input rows.","failureModes":["Fewer than 1 row submitted returns a validation error","Window size larger than the number of rows may produce incomplete trailing means","Rows missing required fields (row_id, date, passed_rules, total_rules, dataset_group) will be rejected","Date strings not matching YYYY-MM-DD pattern will fail schema validation","Submitting more than 200 rows exceeds the maxItems limit and will be rejected","Null numeric values may reduce trailing mean coverage for affected rows"],"whenToPreferThis":"Choose this endpoint when you need both string normalization and a trailing (rolling) mean time series for validation rule result data in a single call, at low cost ($0.01 for both reports). Ideal for data quality pipelines where you want to smooth noisy rule-pass metrics over time while also standardizing categorical labels, without needing external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:38.320Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-string-normalisation-trailing-mean-series-80584b1b"}