Best API documentation platforms for AI and ML companies in February 2026

AI and ML companies require advanced API documentation tools that not only serve as user guides but also act as sales, onboarding, and support mechanisms, with the API often being the primary product. Effective documentation for these companies must accommodate streaming protocols like Server-Sent Events and WebSockets, which handle real-time model outputs, and provide features such as versioning, interactive playgrounds, and multi-language SDK generation. Fern emerges as a leading platform offering native SSE/WebSocket support, automated SDK generation in multiple languages, and CI/CD integration to synchronize documentation with evolving ML models, making it particularly suited for AI platforms focused on correctness and automation. While Mintlify, ReadMe, and GitBook offer various features like visual editing and analytics, they often lack comprehensive support for streaming protocols and SDK generation, which are crucial for complex AI/ML API integrations. The choice of documentation platform significantly impacts the ability of developers to integrate AI models efficiently, with Fern providing a robust solution for handling the dynamic nature of AI/ML APIs and ensuring seamless developer experiences.