ChatGPT has quickly advanced from simple natural language processing to tackling more sophisticated and specialized tasks. Drawing inspiration from the success of mobile app ecosystems, OpenAI allows developers to create applications that interact with third-party services, known as GPTs. GPTs can choose to leverage third-party services to integrate with specialized APIs for domain-specific applications. However, the way these disclose privacy setting information limits accessibility and analysis, making it challenging to systematically evaluate the data privacy implications of third-party integrate to GPTs. In order to support academic research on the integration of third-party services in GPTs, we introduce GPTs-ThirdSpy, an automated framework designed to extract privacy settings of GPTs. GPTs-ThirdSpy provides academic researchers with real-time, reliable metadata on third-party services used by GPTs, enabling in-depth analysis of their integration, compliance, and potential security risks. By systematically collecting and structuring this data, GPTs-ThirdSpy facilitates large-scale research on the transparency and regulatory challenges associated with the GPT app ecosystem.

翻译：ChatGPT已从简单的自然语言处理迅速发展至处理更复杂专业的任务。受移动应用生态系统成功的启发，OpenAI允许开发者创建与第三方服务交互的应用程序，即GPTs。GPTs可选择利用第三方服务，通过专用API集成实现领域特定应用。然而，这些服务披露隐私设置信息的方式限制了可访问性与分析能力，使得系统评估第三方服务集成对GPTs数据隐私的影响面临挑战。为支持GPTs中第三方服务集成的学术研究，我们提出GPTs-ThirdSpy——一个专用于提取GPTs隐私设置的自动化框架。GPTs-ThirdSpy为学术研究者提供GPTs所用第三方服务的实时可靠元数据，支持对其集成方式、合规性及潜在安全风险进行深入分析。通过系统化收集与结构化处理这些数据，GPTs-ThirdSpy促进了针对GPT应用生态系统透明度及监管挑战的大规模研究。