ZipPy is a research-focused rapid AI detection tool that uses compression ratios to indirectly measure text perplexity. It classifies texts by comparing the similarity between the AI-generated corpus and the provided samples. The main advantages of ZipPy include its speed, scalability, and ability to be embedded into other systems. Background information on ZipPy indicates that it serves as a complement to existing large language model detection systems, which typically use large models to calculate the probability of each word, while ZipPy offers a faster approximation method.