{"uid":"cap_Nh9t3FDNrOAXLWEWkxsrT","slug":"ui-screens-category-frequencies-daily-sum-series-cbbd10c2","name":"UI Screens — Category Frequencies + Daily Sum Series","description":"UI screens — Category frequencies + Daily sum series: Category frequencies + Daily sum series 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-16-102?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"}}},"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_-qjR7wauNac3a3oDTQ3UG","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":"Analyzes UI screen records to produce category frequency distributions and daily sum time series for widget_count or render_ms fields.","exampleAgentPrompt":"Analyze my UI screen records and give me both the category frequency breakdown by game_area and the daily sum series for widget_count — I have up to 200 rows with fields row_id, game_area, date, widget_count, and render_ms.","exampleUseCases":[{"title":"Game area render time analysis","prompt":"I have daily UI screen logs for my game with game areas like 'lobby' and 'battle', each with a render_ms value. Can you run category frequencies and a daily sum series on render_ms so I can see which areas render the most and how total render time trends day by day?"},{"title":"Widget count distribution by UI zone","prompt":"I've got 150 rows of UI screen data with game_area and widget_count fields. Please give me the frequency of each game_area category and the daily total widget_count summed across all areas so I can spot heavy UI days."},{"title":"Game UI performance audit","prompt":"Here are my UI screen records from the past month — each row has a date, game_area, widget_count, and render_ms. Run both the category frequency report and the daily sum series on widget_count so I can understand which game areas dominate and how widget load adds up day to day."}],"resultDescription":"Returns two independent analytical reports: (1) category frequencies showing how often each game_area value appears across the supplied rows, and (2) a daily sum time series showing the total of the selected numeric field (widget_count or render_ms) aggregated by date — both computed locally on the supplied data without external lookups.","failureModes":["Rows array is empty or missing — minimum 1 row required","More than 200 rows submitted — exceeds maxItems limit","Date field does not match YYYY-MM-DD pattern — validation error","Invalid field enum value — must be 'widget_count' or 'render_ms'","row_id is missing or empty string — required field violation","Numeric fields exceed allowed range bounds — rejected"],"whenToPreferThis":"Choose this endpoint when you need both a categorical frequency summary and a daily aggregated time series in a single call for UI screen telemetry data (widget_count or render_ms). It is ideal for game UI analytics where you have up to 200 rows of screen records with game_area, date, and numeric metric fields and want two bundled reports at minimal cost without external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:31:32.028Z","isFirstParty":false,"canonicalSlug":"ui-screens-category-frequencies-daily-sum-series-cbbd10c2"}