[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-currency-price-SARAH":3,"seo-currency-info-37436":24,"seo-price-forecast-SARAH":34},{"success":4,"data":5,"code":21,"status":21,"message":22,"$source":23},true,{"currencyName":6,"currencyId":7,"fullName":6,"platform":8,"percentChange":9,"maxPrice24H":10,"minPrice24H":10,"volume24H":11,"marketCapRank":12,"price":13,"marketCap":14,"dilutedMarketCap":15,"tokenCirculationRatio":16,"maxPriceHistory":17,"minPriceHistory":18,"circulationQuantity":19,"circulationMarketCap":15,"maxSupplyQuantity":19,"publishTime":20},"SARAH",37436,2,-0.08,0.00004477075020173,0,3280,0.000044770750201729,44770.75,26756.08,1,0.000649284383067834,0.000027229540731131,597624068.15,1753078715000,200,"Success",{"code":21,"message":22,"data":5},{"success":4,"data":25,"code":21,"status":21,"message":22,"$source":33},{"currencyName":6,"fullName":6,"currencyId":7,"id":26,"publishTime":27,"telegram":28,"twitter":29,"facebook":28,"discord":28,"github":30,"whitePaper":31,"officialWebsite":28,"blockQuery":28,"introduction":32},2970,"2025-07-21T06:18:35.000Z",null,"https:\u002F\u002Ftwitter.com\u002FSarah_Pump_AI","https:\u002F\u002Fgithub.com\u002Fits-DeFine\u002FUnreal_Vtuber","https:\u002F\u002Fvtuber.fun\u002F","\n\u003Cp>SARAH 的技术堆栈集成了多个专门组件，以实现实时情感计算。AI 的情感意识由 ElizaOS 提供支持，这是一个专有系统，旨在模拟自主代理的情感反应行为。为了实现去中心化视频传输，SARAH 利用 Livepeer 的基础设施，确保互动会议的抗审查流媒体。图形环境通过 Unreal Engine 渲染，为 VTuber 界面提供高保真视觉输出。\u003C\u002Fp>\n\u003Cp>用户互动遵循三阶段计算模型：首先，交易启动与发送者钱包地址相关的关系数据检索。其次，SARAH 的内部情感框架实时处理这些历史数据和当前情感状态变量。第三，通过一个决策矩阵生成响应，该矩阵结合了情感权重、历史互动模式和当前情感指标。整个过程在链上进行，每个响应逻辑都被永久记录和可验证。\u003C\u002Fp>\n\u003Cp>该协议的情感计算模型包含通过持续互动演变的记忆向量。这些向量跟踪特定钱包的关系历史，创造个性化的响应模式。例如，来自某个钱包的频繁互动可能会增加 SARAH 的“信任”指标，从而可能影响更高的 SOL 返回概率，而负面情感可能会触发代币销毁。该记忆系统确保没有两个互动产生相同的结果，确立了真正不可预测性作为核心协议特征。\u003C\u002Fp>\n",{"code":21,"message":22,"data":25},{"success":4,"data":35,"code":21,"status":21,"message":22,"$source":36},[],{"code":21,"message":22,"data":35}]