{"uid":"cap_a_Ets-0vppRt0TaxWIKps","slug":"ui-screens-string-normalisation-keyed-dataset-comparison-9fd040fb","name":"UI Screens — String Normalisation + Keyed Dataset Comparison","description":"UI screens — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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-16-036?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"game_area":{"type":"string","default":"","maxLength":80},"render_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"widget_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","game_area":"group-a","render_ms":1,"widget_count":10},{"date":"2026-10-02","row_id":"row-2","game_area":"group-b","render_ms":2,"widget_count":20},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","render_ms":3,"widget_count":15},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","render_ms":4,"widget_count":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","widget_count","render_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","render_ms":3,"widget_count":17},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","render_ms":4,"widget_count":33}],"maxItems":200,"minItems":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_m_lqqUrCWtoC3VV_GivEi","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 performs keyed dataset comparison on UI screen records (widget_count, render_ms) across two supplied datasets of up to 200 rows each.","exampleAgentPrompt":"Compare these two sets of UI screen records — both have rows with row_id, game_area, date, widget_count, and render_ms — normalise the strings and tell me where the keyed values differ between the two datasets.","exampleUseCases":[{"title":"A/B UI screen performance diff","prompt":"I have two batches of UI screen data for our game — each with row_id, game_area, date, widget_count, and render_ms. Normalise the strings and compare them row by row so I can see exactly where widget counts or render times diverged between the two versions."},{"title":"QA audit of widget count changes","prompt":"Can you take these two lists of UI screen records and run a keyed comparison on the widget_count and render_ms fields? I want to catch any rows where the values changed between our baseline and new build after string normalisation."},{"title":"Game area render time regression check","prompt":"We recorded UI screen metrics for group-a and group-b before and after a patch — each snapshot has row_id, game_area, date, widget_count, and render_ms. Run string normalisation and a keyed dataset comparison so I can spot any render_ms regressions."}],"resultDescription":"Returns two independent analytical reports: one covering string normalisation of the supplied UI screen records and one providing a keyed dataset comparison between the two input arrays, covering the widget_count and render_ms fields across up to 200 rows per dataset. No external lookups or predictions are made; all analysis is performed locally on the supplied data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, game_area, date, widget_count, render_ms) on any row — validation error","Invalid date format (must match YYYY-MM-DD) — schema validation failure","Empty rows array (minItems:1 violated) — request rejected","Payment not provided or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and keyed row-by-row comparison of two UI screen datasets (widget_count, render_ms) in a single low-cost call. It is ideal for QA workflows, A/B performance audits, or regression checks on game UI metrics where you supply the data locally and do not need live lookups, predictions, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:47:45.617Z","isFirstParty":false,"canonicalSlug":"ui-screens-string-normalisation-keyed-dataset-comparison-9fd040fb"}