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From the team
Blog
What we ship, how it performs,
and practical ways to put rtrvr to work.
Research
Protocol beats prompt injection for agent-site communication
Declared capabilities give agents a safer, inspectable contract. Hidden instructions inside page content do not.
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Research
The Agent-Web Protocol Stack: A Research Thesis
The web's protocol stack was designed for humans behind browsers. A new consumer is arriving: AI agents. This paper maps the emerging protocol landscape and positions Rover as the missing execution layer.
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Product
Introducing agent analytics for Rover
See what users ask an on-site agent to do, where runs break, and which requests become successful product actions.
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Product
Vibe Hacking: find the site API, then reuse the workflow
Use the page to discover its network contract, extract structured data, and keep the result as a repeatable browser workflow.
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Product
Watchdogs, knowledge bases, and cheaper browser runs
A practical launch note on recurring checks, reusable context, mobile triggers, and lower-cost execution.
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Research
The $10 Billion Proof Point: Why Every Website Needs Its Own AI Agent
Amazon's Rufus proved embedded agents are worth $10B annually. Google's WebMCP wants to intermediate your users. Here's why owning your agent is the only path forward.
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Research
Chatbots Are Read-Only. The Web Isn't.
A technical teardown of why every RAG chatbot, vision agent, and CUA fails at the one thing websites actually need — and the DOM-native architecture that replaces them all.
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Product
rtrvr v27: watch and take over a Cloud browser
Observe a remote run as it happens, step in when judgment is needed, and return control to the agent.
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Playbooks
Retriever AI, Chat4Data, Thunderbit, Browse AI, or Bardeen?
Start with the job: collect a table, monitor a page, research prospects, or fill a form.
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