{"uid":"cap_-qbRGzzWyDMQs5kGj0Z2N","slug":"ui-screens-category-frequencies-trailing-mean-series-65aa2555","name":"UI Screens — Category Frequencies + Trailing Mean Series","description":"UI screens — Category frequencies + Trailing mean series: Category frequencies + Trailing mean 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-16-103?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_dD1-bhAFo4LSE8lTYZ-gC","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 distributions and trailing mean time series for UI screen metrics (widget_count, render_ms) on up to 200 supplied rows.","exampleAgentPrompt":"Analyze my UI screen records and give me two reports: the category frequency breakdown by game_area and a trailing mean series for widget_count with a window of 3 — here are my rows: row-1 on 2026-10-01 in group-a with widget_count=10 and render_ms=50, row-2 on 2026-10-02 in group-b with widget_count=20 and render_ms=80, row-3 on 2026-10-03 in group-a with widget_count=15 and render_ms=60.","exampleUseCases":[{"title":"Screen render performance trend analysis","prompt":"I have 150 UI screen records with dates, game areas, and render_ms values — can you compute the category frequency breakdown by game_area and a trailing mean series for render_ms using a window of 5, so I can see which areas render slowest over time?"},{"title":"Widget count distribution by game area","prompt":"Take these 80 UI screen data rows and give me two reports: how often each game_area category appears, and the rolling mean of widget_count with a window of 4 across the date sequence."},{"title":"Game UI screen metric audit","prompt":"I'm auditing our game UI screens and need category frequencies plus a trailing mean for widget_count with a window size of 2 — here are 40 rows with row_id, date, game_area, widget_count, and render_ms fields."}],"resultDescription":"Two analytical reports: (1) a category frequency table showing how often each game_area value appears in the supplied records, and (2) a trailing mean series for the chosen metric (widget_count or render_ms) computed with the specified window size across the date-ordered rows. Results are derived purely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — minItems constraint violated","More than 200 rows supplied — maxItems constraint exceeded","Missing required fields (row_id, game_area, date, widget_count, render_ms) on any row","Date field not matching YYYY-MM-DD pattern","Window size outside 2–200 range","Invalid field enum value (must be widget_count or render_ms)","Payment not included or insufficient (requires 0.01 USDC via x402)"],"whenToPreferThis":"Choose this endpoint when you have pre-collected UI screen records (up to 200 rows) and need both a categorical frequency breakdown and a rolling mean time series computed locally from your data in a single $0.01 call — ideal for lightweight, offline-style analytics on game UI metrics without needing a full analytics platform or live data connection.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:31:33.141Z","isFirstParty":false,"canonicalSlug":"ui-screens-category-frequencies-trailing-mean-series-65aa2555"}