{"uid":"cap_9j8NXcMifTOpiuOEnd4kc","slug":"ui-screens-category-frequencies-explicit-missing-value-fill-63b8b8ef","name":"UI screens — Category frequencies + Explicit missing-value fill","description":"UI screens — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill for supplied ui screens records (widget_count, render_ms). 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-game-16-112?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","widget_count","render_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"game_area":{"type":"string","default":"","maxLength":80},"render_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"widget_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","game_area":"group-a","render_ms":1,"widget_count":10},{"date":"2026-10-02","row_id":"row-2","game_area":"group-b","render_ms":2,"widget_count":20},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","render_ms":3,"widget_count":15},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","render_ms":4,"widget_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["widget_count","render_ms"],"type":"string","default":"widget_count"},"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_euYZaLjZyDjPTVgPFzo4D","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 category frequency counts and fills missing numeric values (widget_count or render_ms) using zero, mean, or median imputation for up to 200 UI screen records.","exampleAgentPrompt":"I have 150 UI screen records with game_area, widget_count, and render_ms fields — some render_ms values are null. Can you run a category frequency report on the game_area column and fill the missing render_ms values using median imputation?","exampleUseCases":[{"title":"Game area frequency audit","prompt":"Here are my 80 UI screen records with game_area labels and widget counts — some widget_count values are missing. Give me a frequency breakdown of each game_area category and fill the nulls using mean imputation."},{"title":"Render time data cleaning","prompt":"I've got 120 rows of UI screen performance data with render_ms measurements, but about 15 rows have null render times. Run the category frequency report and use zero-fill to handle those missing render_ms values so I can proceed with analysis."},{"title":"Widget count distribution summary","prompt":"Can you analyze these 60 UI screen records across different game areas? I need to know how often each game_area appears and want the missing widget_count values filled in using median — the field to impute is widget_count."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each game_area value appears across the submitted rows, and (2) an explicit missing-value fill report for the specified field (widget_count or render_ms) using the chosen method (zero, mean, or median), with imputed values replacing nulls across up to 200 input rows.","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Missing required fields (row_id, game_area, date) causes row-level errors","Invalid enum values for method or field trigger validation failure","Empty rows array rejected due to minItems:1 constraint","Numeric values outside the allowed range may be rejected"],"whenToPreferThis":"Choose this endpoint when you have UI screen tabular data (up to 200 rows) that needs both categorical frequency analysis by game_area and missing-value imputation for numeric fields (widget_count or render_ms) in a single $0.01 call. It is ideal for lightweight, local analytical processing without requiring external lookups, ML predictions, or live data — two reports bundled in one inexpensive operation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:31.939Z","isFirstParty":false,"canonicalSlug":"ui-screens-category-frequencies-explicit-missing-value-fill-63b8b8ef"}