A powerful research suite for AI agents to conduct deep web searches, company analysis, and technical data extraction using Exa AI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install exa-researcher
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install exa-researcher using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Exa Researcher?
Exa Researcher is a comprehensive research suite designed to empower AI agents with the ability to perform high-fidelity web searches, systematic crawling, and structured data extraction. By leveraging Exa AI's advanced Model Context Protocol (MCP) tools, this skill allows agents to go beyond surface-level keyword matching to perform deep semantic searches and background investigations on companies, people, and technical codebases.
As a core component of the Openclaw Skills library, Exa Researcher bridges the gap between static LLM knowledge and the real-time, dynamic data found on the web. It is built for developers who need their agents to perform professional-grade market research, competitive analysis, and technical documentation synthesis with high precision and relevance.
Exa Researcher Use Cases
- Conducting competitive intelligence and gathering detailed company profiles for market analysis.
- Performing professional background research and expert discovery through targeted people searches.
- Extracting technical code context and API implementation patterns from documentation and repositories.
- Automating industry news monitoring and trend analysis using advanced search filters.
- Executing multi-source deep research projects that require asynchronous processing and progress tracking.
How Exa Researcher Works
- The AI agent identifies a specific research goal, such as finding a company's leadership or an API's usage pattern.
- The skill selects the optimized Exa tool (e.g., company_research_exa or get_code_context_exa) based on the query type.
- A semantic search or crawl request is dispatched to the Exa API, utilizing filters like date ranges, domains, or regions to narrow the scope.
- The skill processes the raw response, extracting highlights, snippets, and structured metadata for the agent to consume.
- For long-running tasks, the deep research workflow maintains state, allowing the agent to check progress and aggregate findings over time.
- The final synthesized data is returned to the agent's context to inform further actions or report generation.
Exa Researcher Setup
To integrate Exa Researcher into your environment, ensure your API credentials are set and add the skill to your agent.
# Set your Exa AI API key
export EXA_API_KEY='your_api_key_here'
# Install the skill via your Openclaw Skills manager
openclaw add skill exa-researcher
Exa Researcher Data Schema & Taxonomy
The skill organizes research data into structured formats to ensure the AI agent can easily parse and synthesize information.
| Data Type | Description | Key Attributes |
|---|---|---|
| Search Results | General web findings | Title, URL, Score, Published Date, Highlights |
| Company Profile | Corporate intelligence | Leadership, Financials, Recent News, Products |
| Person Metadata | Professional background | Bio, Expertise, Professional Activity |
| Technical Context | Code and documentation | Code Snippets, API Specs, Implementation Patterns |
| Research Status | Deep research state | Job ID, Percentage Complete, Source Count |
Exa Researcher Advanced Features
- Asynchronous deep research workflows for long-running, multi-source investigation tasks.
- High-precision filtering capabilities including domain-specific crawling and category-based ranking.
- Automated code context extraction designed specifically for gathering technical intelligence from developer docs.
- Progressive status monitoring for complex research jobs, ensuring the agent stays updated on background tasks.
- Seamless integration with the broader Openclaw Skills ecosystem for automated multi-agent collaboration.
SKILL.md
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