rtrvr.ai is a Universal AI Web Agent designed to automate complex web tasks, extract structured data from any website (even those without APIs or with constantly changing layouts), and leverage AI function calling as you browse.
rtrvr.ai
rtrvr.ai is a Universal AI Web Agent designed to automate complex web tasks, extract structured data from any website (even those without APIs or with constantly changing layouts), and leverage AI function calling as you browse.
YouTube Video: rtrvr.ai
rtrvr.ai is a Universal AI Web Agent designed to automate complex web tasks, extract structured data from any website (even those without APIs or with constantly changing layouts), and leverage AI function calling as you browse.
Hi everyone! I just launched rtrvr.ai, a Chrome extension that brings the power of AI agents to your everyday web browsing. It's designed to navigate the web autonomously, automate complex web tasks, extract structured data from any website, integrate your favorite tools as you browse using AI Function Calling [ie: “Send this page summary as Slack message”], and create graphs of data embedded on the page with just natural language.
The core idea is to let anyone, even non-developers, leverage the power of web automation and data extraction using natural language.I see rtrvr.ai as a step towards a more intelligent and interactive web. I believe this tool can be a game-changer for marketers, sales professionals, SMBs, and anyone who needs to extract information from the web efficiently. Would love to hear your feedback, suggestions, and any use cases you can think of!
rtrvr.ai demonstrates high autonomy through its ability to execute complex workflows across multiple tabs/websites without constant user intervention. Key autonomous capabilities include: natural language processing for task execution, cross-tab contextual actions, scheduled background operations (cron jobs), AI-powered function calling to external APIs/systems (Slack/Snowflake), deep crawling of paginated content/pdfs, and multi-step Sheets workflows with chained operations. The system can autonomously navigate websites, extract structured data at scale (including from login-walled/internal resources), and make context-aware decisions using browser state - though still requires initial human instruction/prompting.
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