OpenClaw for Deep Research and Analysis

OpenClaw's deep research capability sets it apart from simple chatbots. The agent can autonomously research complex topics, cross-reference sources, and produce structured reports.

The agent-deep-research skill is the powerhouse here. Give it a topic, and it: 1. Breaks the topic into subtopics 2. Searches multiple sources for each subtopic 3. Cross-references facts across sources 4. Compiles a structured Markdown report with citations

Research types: - Market research: Competitor analysis, pricing surveys, trend reports - Technical research: Technology comparisons, architecture reviews, best practices - Academic research: Literature reviews, paper summarization, citation tracking - Due diligence: Company background, financial data, news analysis

Combine with other skills: - arxiv-search: Access academic papers directly - web-scraper: Extract data from specific websites - csv-analysis: Analyze quantitative data - pdf-reader: Process research papers and reports

Report quality depends heavily on the AI model. Claude Opus produces the most thorough and accurate research. Sonnet is good for standard research. DeepSeek R1 is a budget option with strong analytical capabilities.

Set up recurring research: 'Every week, compile a report on AI industry developments relevant to my business.' The agent monitors your topics continuously.

Tip: Be specific in your research requests. 'Research AI in healthcare' produces a generic overview. 'Compare FDA-approved AI diagnostic tools in radiology, focusing on accuracy and cost' produces actionable intelligence.