{"uid":"cap_m3SiL4H7W3OinqIqDwnUB","slug":"ui-screens-string-normalisation-exact-row-deduplication-7eb5769a","name":"UI Screens — String Normalisation + Exact Row Deduplication","description":"UI screens — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-16-020?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_ZcByZc_26QmZSNrYFFN0D","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 strings and identifies exact duplicate rows in UI screen records containing widget_count and render_ms fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you normalise the strings and find exact duplicate rows in my UI screen data? I have records with game areas like 'group-a' and 'group-b', widget counts, and render times in milliseconds — here are up to 200 rows I need the two reports for.","exampleUseCases":[{"title":"Game UI render performance cleanup","prompt":"I have 150 rows of UI screen records from our game with widget_count and render_ms values — some rows look like duplicates and the game_area strings are inconsistent. Can you run string normalisation and exact deduplication on them and give me the two reports?"},{"title":"Deduplicating daily UI screen logs","prompt":"We collected daily UI screen logs for the past month across different game areas and I suspect there are exact duplicate entries. Can you clean up the strings and flag the duplicate rows in this dataset of around 80 records?"},{"title":"Pre-analysis data quality check for widget metrics","prompt":"Before I run analysis on our widget count and render time data, I need to normalise the string fields and remove exact duplicate rows. Can you process these UI screen records — about 60 rows — and give me both the string normalisation and deduplication reports?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report detailing standardised values across string fields such as game_area, and (2) an exact row deduplication report identifying duplicate records based on all fields. Reports cover up to 200 input rows and are generated using local analytical engines with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected or truncated","Missing required fields (row_id, game_area, date, widget_count, render_ms) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Empty rows array — minimum 1 item required","Numeric values out of supported range — validation error"],"whenToPreferThis":"Choose this endpoint when you have UI screen performance records (with widget_count and render_ms) that need both string field normalisation and exact duplicate row detection in a single low-cost call. It is best suited for small-to-medium datasets (up to 200 rows) where offline/local analysis is sufficient and no live lookups or predictions are needed. Prefer it over general-purpose data tools when you want two bundled reports at a fixed cost of $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:37.066Z","isFirstParty":false,"canonicalSlug":"ui-screens-string-normalisation-exact-row-deduplication-7eb5769a"}