{"uid":"cap_Zx0qgZD-M9EZFFW0b47qH","slug":"ui-screens-string-normalisation-secondary-measure-weighted-mean-e12715fa","name":"UI Screens — String Normalisation + Secondary-Measure Weighted Mean","description":"UI screens — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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-16-034?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_pZ4fcijDZJ9a97JrdBPkI","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":"Normalises string fields and computes a secondary-measure weighted mean for up to 200 UI screen records (widget_count, render_ms), returning two analytical reports.","exampleAgentPrompt":"Normalise the game_area strings and compute a secondary-measure weighted mean for widget_count across these UI screen records: row-1, group-a, 2026-10-01, render_ms=1, widget_count=10; row-2, group-b, 2026-10-02, render_ms=2, widget_count=20 — give me both analytical reports.","exampleUseCases":[{"title":"Weighted render time analysis by game area","prompt":"I have 50 UI screen records with game areas and render times — can you normalise the area labels and give me the secondary-measure weighted mean for render_ms, with both reports?"},{"title":"Widget count aggregation across screen groups","prompt":"Run string normalisation on the game_area field and compute the weighted mean for widget_count across my 120 UI screen rows — I need the two analytical summary reports."},{"title":"Daily screen performance data cleanup","prompt":"I've got a month of daily UI screen data (up to 200 rows) with messy group labels — normalise the strings and compute a weighted mean on widget_count so I can see performance by category."}],"resultDescription":"Two analytical reports covering: (1) normalised string values for the game_area field across submitted rows, and (2) a secondary-measure weighted mean for the selected field (widget_count or render_ms), computed locally with no external lookup. Results are scoped to the up to 200 submitted rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, game_area, date, widget_count, render_ms) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null values in the selected measure field may affect weighted mean accuracy","Invalid field enum value (not widget_count or render_ms) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation of categorical UI labels and a weighted mean computation on a secondary numeric measure (widget_count or render_ms) in a single call for up to 200 rows of UI screen data, without requiring any external data lookup or live prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:50:51.074Z","isFirstParty":false,"canonicalSlug":"ui-screens-string-normalisation-secondary-measure-weighted-mean-e12715fa"}