{"uid":"cap_CpnTLqz1tEjKe0ft-_bt4","slug":"ui-screens-analytics-category-frequencies-base-100-series-12793406","name":"UI Screens Analytics — Category Frequencies + Base-100 Series","description":"UI screens — Category frequencies + Base-100 series: Category frequencies + Base-100 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-16-105?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_qeQk1Xmk7ZEALO5qjIMzE","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 base-100 indexed series for UI screen records (widget_count, render_ms) across up to 200 rows.","exampleAgentPrompt":"Analyze my UI screen data for widget_count — I have 4 rows across two game areas (group-a and group-b) with dates from 2026-10-01 to 2026-10-04, and I want both a category frequency breakdown and a base-100 series starting from index 0.","exampleUseCases":[{"title":"Game UI render performance comparison","prompt":"I have render_ms data for my game's UI screens across two areas — 'lobby' and 'gameplay' — for the past week. Can you compute the category frequencies and a base-100 series (base index 0) for render_ms so I can see which area has more screen records and how performance trended?"},{"title":"Widget count distribution audit","prompt":"Here are 50 rows of UI screen data with widget_count values across four game areas. Give me a category frequency breakdown and a base-100 indexed series for widget_count starting at index 0 so I can see distribution and relative changes."},{"title":"Daily UI screen performance indexing","prompt":"I want to analyze my UI screen logs from October — I have widget_count and render_ms per screen with game_area labels. Run category frequencies and a base-100 series on render_ms with base index 2 so I can normalize against the third day's value."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each game_area category appears in the dataset, and (2) a base-100 indexed series for the selected numeric field (widget_count or render_ms), normalized relative to the row at the specified base_index. Both reports are computed locally from the supplied rows with no external lookups.","failureModes":["Fewer than 1 row supplied — rejected by minItems validation","More than 200 rows supplied — rejected by maxItems validation","Invalid date format (not YYYY-MM-DD) — schema pattern validation failure","base_index exceeds number of supplied rows — out-of-bounds error","Missing required fields (row_id, game_area, date, widget_count, render_ms) — schema validation error","Payment not attached or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need both a categorical frequency summary AND a base-100 normalized time series for UI screen performance data (widget_count or render_ms) in a single $0.01 call. Ideal for game UI analytics where you want to understand category distribution and relative performance trends together, without needing live lookups or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:39.784Z","isFirstParty":false,"canonicalSlug":"ui-screens-analytics-category-frequencies-base-100-series-12793406"}