What I like most about Unsupervised’s Agent Analytics is its ability to uncover hidden patterns in AI-agent behavior. It helps teams clearly understand what agents are actually doing, quickly spot unusual activity, and connect those behaviors back to quality, performance, cost, and meaningful business outcomes. Review collected by and hosted on G2.com.

My biggest drawback is that the value can depend heavily on the quality and consistency of the underlying data and semantic layer. There’s also a learning curve when it comes to configuring agents, setting up governance, and interpreting insights, which can make early adoption feel more involved than I initially expected. Review collected by and hosted on G2.com.