{"uid":"cap_p2eSnDpDjPGgFAPzaISOw","slug":"ui-screens-exact-row-deduplication-two-measure-correlation-a1ac6120","name":"UI Screens — Exact Row Deduplication + Two-Measure Correlation","description":"UI screens — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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-16-050?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}}},"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_6PitTXhgtEa-ZaZNlu0nT","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":"Deduplicates UI screen records and computes correlation between widget_count and render_ms for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Deduplicate my UI screen records and compute the correlation between widget_count and render_ms — I have rows with fields row_id, game_area, date, widget_count, and render_ms, about 50 rows total across groups like 'group-a' and 'group-b'.","exampleUseCases":[{"title":"Game UI performance correlation audit","prompt":"I have data from our game UI screens with widget counts and render times across different game areas — can you deduplicate the rows and tell me how correlated widget_count is with render_ms? I'll send you up to 150 rows with row_id, game_area, date, widget_count, and render_ms."},{"title":"Duplicate screen record cleanup","prompt":"Our UI screen logging pipeline sometimes emits duplicate rows — can you run exact row deduplication on my dataset of screen records and also compute the correlation between widget_count and render_ms so I know if heavier UIs are slower?"},{"title":"Widget density vs render speed analysis","prompt":"I want to know if screens with more widgets take longer to render. Can you deduplicate my 80-row UI screen dataset and give me a two-measure correlation report for widget_count and render_ms across the game areas?"}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows from the supplied UI screen records, and (2) a correlation analysis between widget_count and render_ms across the provided dataset — all computed locally without external lookups or predictions.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, game_area, date, widget_count, or render_ms) in any row","Invalid date format — must match YYYY-MM-DD pattern","Empty rows array — minItems is 1","Payment not completed via x402 protocol — endpoint requires 0.01 USDC per call"],"whenToPreferThis":"Choose this endpoint when you have UI screen performance data (widget counts and render times) that may contain exact duplicate rows and you want both a cleaned deduplicated dataset and a statistical correlation between the two numeric measures in a single low-cost call. Ideal for small-to-medium datasets up to 200 rows where no external data enrichment or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:31:33.152Z","isFirstParty":false,"canonicalSlug":"ui-screens-exact-row-deduplication-two-measure-correlation-a1ac6120"}