Web Bench is a platform designed to compare and benchmark different AI web browsing agents. It provides comprehensive performance metrics for AI agents navigating the web, featuring a dataset of 5,750 tasks across 452 different websites.
Free
How to use Web Bench?
Web Bench can be used to evaluate the performance of AI web browsing agents by comparing their scores across various tasks. It helps in identifying the most efficient agents for navigation, data extraction, form filling, and more.
Web Bench 's Core Features
Comprehensive performance metrics for AI agents
Dataset of 5,750 tasks across 452 websites
Leaderboard to compare AI agent scores
Focus on navigation and data extraction tasks
Open source and community contributions welcome
Web Bench 's Use Cases
Researchers can use Web Bench to compare the performance of different AI web browsing agents in academic studies.
Developers can benchmark their AI agents against others to identify areas for improvement.
Companies can evaluate AI agents for tasks like form filling and data extraction to enhance productivity.
AI enthusiasts can explore the capabilities of various AI agents in navigating the web.
Educators can use Web Bench as a teaching tool to demonstrate AI agent performance metrics.
