No matter which AI model you use, APIPark provides a one-stop integration solution. It unifies the management of all authentication information and tracks the costs of API calls.

Standardize the request data format for all AI models. When switching AI models or modifying prompts, it won’t affect your app or microservices, simplifying your AI usage and reducing maintenance costs.

You can quickly combine AI models and prompts into new APIs. For example, using OpenAI GPT-4 and custom prompts, you can create sentiment analysis APIs, translation APIs, or data analysis APIs.

API lifecycle management helps standardize the process of managing APIs, including traffic forwarding, load balancing, and managing different versions of publicly accessible APIs. This improves API quality and maintainability.

With APIPark’s API Portal, you can showcase all API services in one unified platform, allowing different departments and teams to easily find and use the APIs they need.

In APIPark, you can create multiple teams (tenants), where each team’s applications, data, user settings, and security policies are independent. However, the underlying applications and infrastructure are shared, which improves resource utilization, reduces operational costs, and provides personalized user experiences for each tenant.

In APIPark, you can enable subscription approval for APIs. The client must subscribe to the API and wait for administrator approval before making any calls, preventing unauthorized API calls and ensuring data security.

APIPark delivers over 20,000 TPS with just an 8-core CPU and 8GB of memory. It supports cluster deployments, allowing it to handle high traffic loads at scale.

The API call logging feature provides comprehensive logging for enterprises, recording all relevant information for every API call. These logs help quickly trace and troubleshoot issues, ensuring system stability and data security.