Introducing Exa Agent

This post introduces Exa Agent, a unified API for web research that combines LLMs with Exa's search tools. It details the agent's ability to divide tasks into subtasks handled by specialized subagents and uses a fusion of frontier and cost-effective models for optimal performance and cost efficiency. Performance is quantified using public benchmarks and the WideSearch methodology, which evaluates agents on their ability to aggregate and structure atomic information about entities from across the web. The post also outlines different effort levels for API usage, ranging from 'minimal' to 'xhigh', and provides examples of its application in finance and go-to-market scenarios.