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Bright Data has launched a suite of tools giving AI agents real-time access to the web. At the center is Deep Lookup (Beta), a natural language research engine that delivers structured, actionable answers to complex questions in seconds. Deep Lookup, in contrast to usual LLMs that frequently have problems with context and precision, extracts verified information from the internet with complete source links.
The application depends on Browser.ai, which is an AI-native browser that acts like a real user to overcome CAPTCHAs, scripts, and other hurdles thereby allowing agent-based research and monitoring to be scaled up. MCP Servers handle large-scale search, crawling, and live data extraction, allowing AI agents to act on information in real time rather than just passively read it.
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Bright Data’s infrastructure already supports over 100 million agent actions daily and curates more than 200 billion web pages, adding 15 billion each month. With this launch, developers, startups, and enterprises can build AI systems that observe, analyze, and respond to the live web at scale, opening the door for more reliable, context-rich, and autonomous AI workflows.
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