{"uid":"cap_2LzfSrgpbxdFJXiS9Da9B","slug":"validation-rule-results-daily-sum-series-explicit-missing-value-fill-5421a091","name":"Validation Rule Results — Daily Sum Series + Explicit Missing-Value Fill","description":"Validation rule results — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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-08-145?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_hW-pf7yXCuRP4Jj2uHSb1","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":"Computes a daily sum time series and fills missing values (zero, mean, or median) for passed_rules and total_rules fields in validation rule result records.","exampleAgentPrompt":"I have up to 200 rows of validation rule results with dates, dataset groups, passed_rules, and total_rules — can you compute the daily sum series for passed_rules and fill any missing values using median imputation?","exampleUseCases":[{"title":"Daily data quality dashboard aggregation","prompt":"I have 150 rows of validation rule results across two dataset groups from October 2026 — each row has a date, passed_rules, and total_rules. Can you give me the daily sum series for passed_rules and fill any missing days using median?"},{"title":"Missing value imputation for rule totals","prompt":"My total_rules time series has some nulls scattered across dates for my 'group-b' dataset. Can you run the daily sum aggregation and fill those missing values with zeros so I get a complete series?"},{"title":"Multi-group rule pass trend analysis","prompt":"I've got 80 validation result records spread across dataset groups 'finance' and 'ops', each tagged with a date, and I need a daily sum of total_rules with any gaps filled using the mean — can you generate those two reports for me?"}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum time series aggregating the selected field (passed_rules or total_rules) by date, and (2) the same series with missing values explicitly filled using the chosen method (zero, mean, or median). Covers up to 200 input rows.","failureModes":["Missing required fields (row_id, date, dataset_group, passed_rules, total_rules) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted exceeds the row limit and will be refused","Invalid enum values for field or method parameters cause rejection","Numeric values outside the ±1,000,000,000,000 range are rejected"],"whenToPreferThis":"Choose this endpoint when you need both daily temporal aggregation and missing-value imputation on validation rule result records (passed_rules / total_rules) in a single low-cost call. It is purpose-built for data quality monitoring pipelines where you supply your own data and want offline analytical computation — no live data lookup or external calls are made. Prefer this over generic analytics services when you specifically need the daily-sum + fill combo for rule-pass-rate datasets at minimal cost ($0.01 for two reports on up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:35.841Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-daily-sum-series-explicit-missing-value-fill-5421a091"}