{"uid":"cap_pCn3VajdhNKa7YU4lJQHE","slug":"label-review-analytics-grouped-numeric-summary-missing-value-fill-999bd9a4","name":"Label Review Analytics: Grouped Numeric Summary + Missing-Value Fill","description":"Label review — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + 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-12-099?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_SFGaxJO1GIESoNcK-0hbJ","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":"Produces two analytical reports for label review data: a grouped numeric summary by dataset group and an explicit missing-value fill for reviewed_records or changed_labels fields, processing up to 200 rows locally.","exampleAgentPrompt":"I have up to 200 label review records with row_id, dataset_group, date, reviewed_records, and changed_labels columns — can you give me a grouped numeric summary by dataset_group and also fill any missing values in reviewed_records using median imputation?","exampleUseCases":[{"title":"Audit label change rates by dataset group","prompt":"I have 150 label review rows each with a dataset_group, date, reviewed_records, and changed_labels — please give me a grouped numeric summary of changed_labels across all groups so I can see which groups are changing labels most."},{"title":"Fill nulls in reviewed records before model training","prompt":"My label review dataset has some null values in the reviewed_records column — can you fill those missing values using mean imputation across these 200 rows, grouped by dataset_group?"},{"title":"Daily QA report for annotation pipeline","prompt":"Here are today's annotation pipeline records with reviewed_records and changed_labels per dataset_group and date — generate a grouped numeric summary and fill any missing changed_labels values with zero so I can share the daily QA report."}],"resultDescription":"Returns two reports: (1) a grouped numeric summary showing aggregate statistics (e.g. count, sum, mean, min, max) of the target metric broken down by dataset_group, and (2) a version of the input data where null values in the specified field (reviewed_records or changed_labels) have been replaced using the chosen method (zero, mean, or median). No external lookups or predictions are made.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row rejection","Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors","Values outside numeric bounds (±1,000,000,000,000) are rejected","Invalid method enum value (not zero, mean, or median) causes parameter error","Invalid field enum value (not reviewed_records or changed_labels) causes parameter error","Empty rows array returns error"],"whenToPreferThis":"Use this endpoint when you have up to 200 label review records and need both a grouped numeric summary and missing-value imputation in a single API call for $0.01 USDC. Prefer this over general-purpose analytics tools when working specifically with reviewed_records and changed_labels fields structured around dataset groups and dates, and when you need both reports delivered together without any external data lookups or model predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:12.805Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-grouped-numeric-summary-missing-value-fill-999bd9a4"}