Atlas

Atlas is a deep research agent designed to solve a fundamental limitation of today’s AI systems: high-quality information is often locked behind paywalls, subscriptions, or premium APIs. Instead of relying solely on free or preloaded data, Atlas can independently decide when paid data is necessary to improve research outcomes. Given a user query, Atlas identifies information gaps, evaluates whether premium sources would materially increase answer quality, and autonomously accesses those sources within predefined budgets and policies. The acquired data is then integrated into a multi-step research and reasoning process to produce more accurate, trustworthy, and well-supported answers. By treating data access and payment as first-class agent actions, Atlas enables a new class of agentic research workflows. Agents are no longer limited by what is freely available online, but can actively invest in better information to think deeper and deliver higher-confidence results.