AgentWeb launches web infrastructure for agents, completing all 47/47 live-site tasks
AgentWeb launches, enabling AI agents to complete web tasks without a browser by invoking preset actions instead of reading screenshots and clicking buttons. The company claims it completed 47/47 real-time tasks across 15 government portals, 7 insurance companies, and 25 login-required sites including Amazon and LinkedIn, with a median time of 1.9s and a total cost of $3 for the full round. Each mapped task is exposed as a tool, including an input schema, preconditions, permission boundaries, and completion proofs, and can be called from any assistant.
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AgentWeb packages web tasks into callable tools with input schemas and completion proofs, and provides live-site task data.
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View original postIntroducing AgentWeb: reliable web infrastructure for generalized agents. 47/47 real world tasks on live sites. 1.9s median. $3 total. Request access: https://t.co/KsgVebkvLT https://t.co/tscylNwiZQ
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Introducing AgentWeb: reliable web infrastructure for generalized agents. 47/47 real world tasks on live sites. 1.9s median. $3 total. Request access: https://t.co/KsgVebkvLT https://t.co/tscylNwiZQ
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A website is starting to look like a set of callable operations, which is exactly how an agent wants to see it.
AgentWeb just launched and it lets AI agents do website tasks without a browser: instead of reading screenshots and clicking buttons, the agent calls a ready-made action.
The numbers are actually solid. 47/47 live tasks across 15 government portals, 7 insurers and 25 signed-in sites like Amazon and LinkedIn, 1.9s median, $3 for the whole run.
AgentWeb exposes each mapped task as a tool with an input schema, preconditions, an authority boundary and a completion proof, callable from any assistant.