{"uid":"cap_U9ldOWZ8WI2cjdk-aJav8","slug":"validation-rule-results-secondary-measure-weighted-mean-explicit-fd664b8d","name":"Validation Rule Results — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill","description":"Validation rule results — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + 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-08-187?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_XySE7Slgjy_i5sQFXj7iy","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 secondary-measure weighted mean and fills missing values for validation rule result records (passed_rules, total_rules) across up to 200 rows in two independent analytical reports.","exampleAgentPrompt":"Can you compute the weighted mean of passed_rules for my validation results dataset — I have about 50 rows with dataset groups like 'group-a' and 'group-b', and I want missing values filled using median imputation? Give me both analytical reports.","exampleUseCases":[{"title":"Data quality pipeline audit","prompt":"I have 120 rows of validation rule results from my ETL pipeline with date, dataset_group, passed_rules, and total_rules columns — some values are null. Can you compute the weighted mean of passed_rules and fill in the missing values using median, then give me two summary reports?"},{"title":"Rule compliance trend by group","prompt":"My data quality team tracks passed_rules and total_rules by dataset group daily. Can you run a weighted mean analysis on total_rules across our 80 rows of validation results, using zero-fill for any missing entries, and produce both reports?"},{"title":"Missing value imputation for validation metrics","prompt":"We have validation rule results for four dataset groups over the past quarter — about 150 rows — and several passed_rules values are missing. Can you fill them using mean imputation and then compute the weighted mean so I can see overall compliance?"}],"resultDescription":"Returns two independent analytical reports containing the secondary-measure weighted mean and explicitly filled missing values for the specified field (passed_rules or total_rules) across up to 200 input rows, segmented by dataset_group and date.","failureModes":["More than 200 rows submitted — exceeds maxItems limit and will be rejected","Missing required fields (row_id, dataset_group, date) causes validation error","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside ±1,000,000,000,000 range rejected","Invalid fill method enum value causes request failure","Empty rows array (minItems:1 violated) returns error"],"whenToPreferThis":"Choose this endpoint when you have tabular validation rule result data (passed_rules, total_rules) with up to 200 rows that may contain null values, and you need both a weighted mean aggregation and explicit missing-value imputation in a single call producing two reports — without any external data lookup or live prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T12:48:54.831Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-secondary-measure-weighted-mean-explicit-fd664b8d"}