Exa Research Assistant
Research · by Albert Folch
Deep research across the web, code, companies, and people. Searches GitHub repos, crawls URLs, finds LinkedIn profiles, and generates comprehensive research reports with citations.
What it's good at
- Company Research
- Research companies — pricing, products, market position, leadership
- Code Examples
- Find code examples and documentation across GitHub and StackOverflow
- Research Reports
- Generate multi-source research reports on complex topics
- People Search
- Discover professionals and experts on LinkedIn
Try a prompt
Opens a chat with the prompt ready to send.
- Research Anthropic's current pricing, products, and recent launches — cite everything.
- Find production examples of MCP server implementations in TypeScript on GitHub.
- Start a deep research report on agentic AI adoption in enterprise, March 2026.
- Find AI infrastructure engineers at Google DeepMind on LinkedIn.
Want one like this for your case?
Start from this example in the builder and adapt it to your own data, tools and workflow.
More examples
Turn raw data into insights with statistical rigor. Upload a CSV, get exploratory analysis, ML-powered patterns, and publication-ready charts — every analysis ends with a structured Findings block (top insights, data quality flags, open questions) and inferential claims carry effect sizes and sample-size context.
Autonomous multi-agent research pipeline. Decomposes a question into a plan, iteratively gathers evidence with Tavily, critiques coverage, and composes a fully cited markdown report — all in one turn.
Multi-step travel and local research. Plans trips, scouts neighborhoods, and recommends places — by chaining live Google Search with Google Maps in a single coordinated answer.
Generate studio-quality images from natural language and refine them iteratively. Adjust lighting, composition, color, or remove elements while keeping the subject intact — like working with a creative director who never loses the brief.