Neural search for AI agents — search by meaning, find similar content, and get research-grade web results
Runs in an isolated sandbox · 5 free calls per hour · keys never stored
Used for this session only — never stored.
Exa is the search API designed from the ground up for AI and semantic search. Unlike traditional keyword search, Exa understands meaning — finding conceptually related content even without matching keywords. Features: - Neural search — finds content by meaning, not just keywords - Find similar pages to any URL - Research mode — comprehensive, multi-source research synthesis - Date-filtered search for recent content - Domain-specific search (academic papers, news, GitHub, etc.) - Structured content extraction with highlighted passages - Competitor research and landscape analysis - Technical documentation search Where Exa wins over Brave/Tavily: - "Find papers similar to this arXiv abstract" — understands semantic similarity - "Find companies doing what Figma does but for 3D" — finds conceptual matches - "What was written about [topic] before 2023?" — precise temporal filtering Exa is the choice for research-intensive AI workflows where query precision matters.
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