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The time it takes for our AI to improve coverage depends on various factors, including the complexity of the APIs being analyzed and the amount of data available. Typically, our AI product requires multiple relearning cycles to enhance coverage. This iterative process allows the AI to learn from new data and refine its understanding of API behavior. On average, it can take approximately 2-4 weeks to see noticeable improvements in coverage. However, it's important to note that the specific timeline may vary based on the unique characteristics of your APIs and the volume of data processed during each relearning cycle.

Adding OpenAPI specification support to your API is relatively straightforward and requires minimal code changes. We provide comprehensive documentation that guides you through the process step-by-step, making it easy to integrate an OpenAPI specification into your existing API. By adopting an OpenAPI specification, you gain several benefits, including improved API documentation, enhanced collaboration, and seamless integration with our API active performance action.

We understand the importance of GraphQL support and its growing popularity among developers. We're excited to share that we have plans to add GraphQL support in the near future. Our development team is actively working on integrating GraphQL into our platform to provide you with an enhanced API experience. We're committed to delivering this feature to meet the evolving needs of our users. Stay tuned for updates and announcements as we progress with the implementation. If you have any specific requirements or suggestions regarding GraphQL support, we'd love to hear from you and incorporate them into our roadmap. Thank you for your patience and continued support!

Our AI is designed to automatically learn and analyze API behavior without requiring explicit parameter and request body inputs. Through iterative learning and analysis, our AI can understand and adapt to various API parameters and request bodies. This approach eliminates the need for manual input and allows the AI to learn and optimize API performance based on real-world usage patterns. Our goal is to provide a seamless and automated experience for API performance testing. If you have specific concerns or requirements regarding the inclusion of parameters and request bodies, we value your feedback and would be happy to explore potential enhancements in future iterations of our AI. Thank you for your understanding.

Yes, PerfAI is production-safe. We prioritize the stability and integrity of your production environment. Our system ensures that we never exceed API rate limits, maintaining compliance with API provider guidelines. Additionally, we strictly follow a 'read-only' approach, meaning we never delete or modify any existing data during the performance testing process. This ensures that your data remains intact and unaffected. With PerfAI, you can confidently use our platform to test API performance without any concerns about disruptions or data integrity issues.

 PerfAI provides a Docker container that can be deployed and run from any cloud region or infrastructure of your choice. By using our Docker container, you have the flexibility to deploy PerfAI in your preferred cloud environment or on-premises infrastructure. This allows you to take advantage of the scalability, security, and performance benefits offered by your chosen cloud region. With our containerized solution, you can seamlessly integrate PerfAI into your existing infrastructure and workflows, regardless of the cloud region. If you have any specific requirements or need assistance with deploying PerfAI in your desired environment, our support team is here to help. Thank you for considering PerfAI!

PerfAI approaches performance testing differently compared to traditional load testing. Unlike load testing, PerfAI does not require configuring a specific number of Virtual Users (VU), ramp-up time, or total time. Instead, PerfAI actively analyzes and assesses the performance of your APIs in real-world scenarios, identifying potential bottlenecks and areas for improvement. By continuously monitoring the performance of critical paths and endpoints, PerfAI provides insights and actionable recommendations for enhancing API performance. This allows you to optimize your APIs based on actual usage patterns and behavior, ensuring a smooth and efficient user experience. If you have specific requirements or need further guidance on optimizing your APIs, our team is here to assist you. Thank you for your interest in PerfAI!

Active performance for APIs is the process of evaluating the responsiveness, speed, scalability, and stability of an API (Application Programming Interface) under different conditions. It involves simulating various usage scenarios and analyzing the API's behavior and performance metrics to ensure it meets the expected performance standards.

   We support a wide range of APIs and applications with PerfAI Action. Our platform is designed to accommodate various types of APIs, including public APIs, as well as single-page web apps and mobile apps that have an API backend. When it comes to performance testing for single-page web apps and mobile apps, the primary focus is on the performance of their respective APIs. While there isn't a direct way to perform performance testing specifically for the client-side performance of single-page web apps or mobile apps, PerfAI Action enables you to thoroughly assess and optimize the performance of the underlying APIs that power these applications. By ensuring that your APIs deliver high-performance responses, you can enhance the overall user experience of your single-page web apps and mobile apps. If you have any further questions or specific requirements, please don't hesitate to reach out. Thank you for your interest in PerfAI!