Brief
OdoBot web agent reports 44-80% fewer tokens than two rival agents
A preprint describes OdoBot, a web agent that builds a model of an application from successful task demonstrations. On 45 Canvas LMS tasks it used 44% and 80% fewer tokens than Agent-E and WebVoyager and beat WebVoyager on success rate; the abstract gives no release, hosting or price details.
The paper describes OdoBot as a web agent that automates tasks described in natural language by analyzing a web application's user interface. Unlike conventional agents, it builds a behavioral model of the application from successful task-execution demonstrations.
In experiments on 45 tasks using the Canvas Learning Management System, OdoBot used 44% and 80% fewer tokens than Agent-E and WebVoyager, respectively, and also surpassed WebVoyager in task success rate. The practical detail: lower token use means lower cost for running web agents.
Source details and supporting facts
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Stated by arXiv
- OdoBot is a web-agent architecture that completes tasks at a fraction of the cost when compared to conventional web agents.
- It leverages a behavioral model of the underlying application constructed by analyzing successful task-execution demonstrations.
- Experiments with 45 tasks on the Canvas Learning Management System (LMS) demonstrate that OdoBot uses 44% and 80% fewer tokens than Agent-E and WebVoyager.
- OdoBot surpasses WebVoyager in terms of task success rate.
Sources
- arXivText stored 15 September 2026
How this story was checked. Written from the 1 page listed above, stored 15 September 2026; claims checked against that stored text on 15 September 2026.
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- 4 of 4 reported statements were confirmed against the page that carries them; the rest were removed rather than published.
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