Many developers have used generative artificial intelligence to create or complete code, but few have leveraged agentic AI. This AI subset can reason and execute complex tasks autonomously. Its high level of independence and unique proactive approach make it ideal for application programming interface (API) testing. 

Understanding Agentic AI’s Role in API Testing

The use of AI in API testing is relatively new, but well-documented. Researchers have demonstrated the effectiveness of large language models (LLMs) in API testing, particularly when a single test case corresponds to multiple values. Experimental results show precision can reach as high as 100% under stringent conditions, but recall falls below 20%. Under relaxed conditions, recall rates approach 90% while maintaining high precision.