{"uid":"cap_iUmBXxWiRjoASBiA9d_Xf","slug":"ui-screens-base-100-series-secondary-measure-weighted-mean-23a15b0d","name":"UI Screens Base-100 Series + Secondary-Measure Weighted Mean","description":"UI screens — Base-100 series + Secondary-measure weighted mean: Base-100 series + 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-16-166?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_E9zhvUxfI4y2VVzyeeSlv","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 a Base-100 indexed time series and a secondary-measure weighted mean for UI screen records containing widget_count and render_ms fields.","exampleAgentPrompt":"Can you run a base-100 series analysis and a weighted mean on these UI screen records — I have 4 rows with widget_count and render_ms fields across two game areas, using widget_count as the main field and row index 0 as the base?","exampleUseCases":[{"title":"UI render time baseline tracking","prompt":"I have daily UI screen data for two game areas with render_ms values and I want to see a base-100 series for render_ms starting from the first row, plus a weighted mean — can you compute both reports for my 50 rows?"},{"title":"Widget count normalization for game UI","prompt":"Take my widget_count data across these game UI screens — about 120 rows grouped by area and date — and generate a base-100 indexed series using row index 0 as the base, along with a secondary weighted mean."},{"title":"Performance comparison across game areas","prompt":"I want to compare UI screen performance across game areas using a base-100 series on widget_count with base index 5, and also get a weighted mean using render_ms as the secondary measure — here are 30 rows of screen data."}],"resultDescription":"Returns two analytical reports: (1) a Base-100 series showing each row's selected field (widget_count or render_ms) indexed relative to the chosen base row, and (2) a weighted mean of the secondary measure across supplied rows. Covers up to 200 input rows processed via local analytical engines with no external data lookup.","failureModes":["Missing required row fields (row_id, game_area, date, widget_count, render_ms) causes validation error","Exceeding 200 rows returns an error or truncation","Invalid date format (not YYYY-MM-DD) causes schema rejection","base_index out of range for provided row count","Null values in the primary field may affect Base-100 computation","Payment failure via x402 protocol prevents execution"],"whenToPreferThis":"Choose this endpoint when you have tabular UI screen data (up to 200 rows) and need both a Base-100 normalized time series and a weighted mean in a single call for $0.01 USDC. It is ideal for offline/supplied-data analytics where no live data fetch or prediction is needed, and you want two complementary statistical views (indexing + weighted aggregation) on widget_count and render_ms metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:08.220Z","isFirstParty":false,"canonicalSlug":"ui-screens-base-100-series-secondary-measure-weighted-mean-23a15b0d"}