{"uid":"cap_Uw1x1miOndUCZBPLvBoJZ","slug":"validation-rule-results-string-normalisation-daily-sum-series-8db28c73","name":"Validation Rule Results — String Normalisation + Daily Sum Series","description":"Validation rule results — String normalisation + Daily sum series: String normalisation + Daily sum 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-08-027?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_0XATbw4o4Gwgo0cQkZ3kf","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":"Applies string normalisation and computes a daily sum time series for up to 200 validation rule result records (passed_rules or total_rules), returning two independent analytical reports.","exampleAgentPrompt":"I have up to 200 validation rule result rows with dates, dataset groups, and passed_rules counts — can you run string normalisation plus a daily sum series on the passed_rules field and give me both reports?","exampleUseCases":[{"title":"Data quality dashboard time series","prompt":"I have daily validation rule results for our ETL pipeline across two dataset groups — can you normalise the strings and produce a daily sum series for passed_rules so I can track data quality trends over time?"},{"title":"Rule compliance aggregation by date","prompt":"Here are 150 rows of validation rule outcomes with dates and dataset groups; I need a daily sum of total_rules with string normalisation applied — give me both analytical reports."},{"title":"Debugging a drop in rule pass rate","prompt":"Our passed_rules numbers dropped last week — can you take these 80 rows of validation results, run the string normalisation and daily sum series on the passed_rules field, and show me what the aggregated daily totals look like?"}],"resultDescription":"Two independent analytical reports: (1) normalised string representations of the input validation rule result data, and (2) a daily sum time series for the selected numeric field (passed_rules or total_rules), aggregated by date across up to 200 supplied rows.","failureModes":["Rows exceeding 200 items will be rejected with a validation error","Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) will cause row-level rejection","Dates not matching YYYY-MM-DD pattern will fail schema validation","Numeric values outside ±1,000,000,000,000 will be rejected","Invalid field enum value (anything other than passed_rules or total_rules) will error"],"whenToPreferThis":"Choose this endpoint when you have tabular validation rule result data (up to 200 rows) and need both string normalisation and daily sum time series analytics in a single call without any live data lookup, prediction, or external side effects. It is ideal for data quality monitoring pipelines, ETL audit workflows, or lightweight analytical pre-processing where two co-packaged reports justify the per-call cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:36.106Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-string-normalisation-daily-sum-series-8db28c73"}