This deliverable outlines the initial designs and specifications for two primary components of the EFRA Platform: the API Gateway and the Data & Analytics Marketplace. The API Gateway is engineered to provide third-party applications with access to datasets and AI models within the EFRA ecosystem. In contrast, the Data & Analytics Marketplace is conceptualized as a user-friendly web application, facilitating direct access to data and AI models for interested users. The EFRA API Gateway functions as a central hub, streamlining the integration of diverse tools and data providers. This centralized system is pivotal for efficiently routing requests to the appropriate tools and interfaces based on their unique requirements. It also enables external applications to integrate seamlessly with EFRA’s resources, broadening the scope of data and AI model accessibility and contribution. The deliverable extensively covers specific API specifications. These include the Food Risk Intelligence APIs, which grant access to detailed food safety incident data and risk assessments, and the Food Regulations APIs, which provides regulatory content for the Food & Feed industries. The Agriculture section, powered by AGRIVI APIs, focuses on data critical for agricultural management, such as pest alarms and pesticide information. A significant aspect of the EFRA Project is the Analytics Powerhouse. This segment is devoted to managing AI models, encompassing functionalities from uploading to execution and monitoring. AI models are required to be presented as docker images, undergoing a comprehensive validation process on the EFRA platform, thereby ensuring their functionality and effectiveness. The EFRA Data & Analytics Marketplace, another integral component, is designed to streamline the acquisition, management, and usage of datasets related to food safety. This web application is tailored to be intuitive, enhancing data discoverability and facilitating easy navigation for users of varying expertise levels. It promotes transparent transactions and encourages users to participate in a dynamic marketplace for custom data requests, aiming to elevate the quality and practicality of data. In summary, this deliverable highlights the EFRA Project's initial phase in developing an integrated system aimed at improving access and management of data and AI models in the food safety domain. It emphasizes the foundational role of the EFRA API Gateway and the Data & Analytics Marketplace in achieving this goal, marking a significant step towards enhancing global standards in food safety data management.