{"uid":"cap_NdrrqWFDpy2wOwft67z6M","slug":"label-review-analytics-secondary-measure-weighted-mean-explicit-c99df831","name":"Label Review Analytics: Secondary-Measure Weighted Mean + Explicit Missing-Value Fill","description":"Label review — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied label review records (reviewed_records, changed_labels). 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-12-187?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","reviewed_records","changed_labels"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"changed_labels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"reviewed_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","changed_labels":1,"reviewed_records":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","changed_labels":2,"reviewed_records":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","changed_labels":3,"reviewed_records":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","changed_labels":4,"reviewed_records":30}],"maxItems":200,"minItems":1},"field":{"enum":["reviewed_records","changed_labels"],"type":"string","default":"reviewed_records"},"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_undOmJrHgJJ7Lfdd9YcD-","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 explicitly across label review records (reviewed_records, changed_labels) for up to 200 rows in two bundled reports.","exampleAgentPrompt":"For my label review dataset with groups 'group-a' and 'group-b', can you compute the secondary-measure weighted mean of changed_labels (weighted by reviewed_records) and fill any missing values using the median method? I have up to 50 rows dated from 2026-10-01 onward.","exampleUseCases":[{"title":"ML annotation QA aggregation","prompt":"I have daily label review records for two dataset groups over the past month — each row has a date, a group name, reviewed_records count, and changed_labels count. Can you compute the weighted mean of changed_labels using reviewed_records as the weight, and fill any nulls using median imputation? Here are my 40 rows."},{"title":"Missing-value imputation for review metrics","prompt":"My label review export has some null entries in the reviewed_records column. Can you fill those gaps using zero-fill and also give me the weighted mean of reviewed_records across all my dataset groups? I'll provide about 80 rows."},{"title":"Cross-group label change rate analysis","prompt":"I want to compare changed_labels rates across my annotation groups — can you compute a secondary-measure weighted mean of changed_labels (weighted by reviewed_records) and handle any missing values with mean imputation across my 120 label review records organized by group and date?"}],"resultDescription":"Returns two analytical reports: (1) a secondary-measure weighted mean of the target field (reviewed_records or changed_labels) grouped by dataset_group, and (2) an explicit missing-value fill of null entries using the chosen strategy (zero, mean, or median). All computations are performed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — API rejects with a validation error","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, reviewed_records, changed_labels) result in row rejection","All values null for a group may produce undefined weighted mean","Invalid enum value for 'method' or 'field' causes request rejection"],"whenToPreferThis":"Choose this endpoint when you need a bundled two-report analysis (weighted mean + missing-value fill) specifically for label review datasets with reviewed_records and changed_labels fields. It is ideal for ML/annotation QA workflows where you have up to 200 rows and want both aggregation and imputation in a single low-cost call. Prefer alternatives if you need live data lookup, prediction, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T06:39:33.112Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-secondary-measure-weighted-mean-explicit-c99df831"}