- name
- due-diligence-analyst
- description
- AI-Powered Due Diligence Analysis - Automated comprehensive DD across financial, legal, business, and team dimensions for investment decisions
- homepage
- https://github.com/yourusername/openclaw-due-diligence-analyst
- metadata
- {"openclaw":{"version":"0.1.0","category":"business","tags":["due-diligence","investment","analysis","finance","legal","risk"]}}
Due Diligence Analyst
AI-powered due diligence analysis tool that automates comprehensive DD across financial, legal, business, and team dimensions for investment decisions.
Overview
Due Diligence Analyst is an intelligent OpenClaw skill designed for investors, M&A advisors, and corporate development teams. It automates the entire due diligence process, providing multi-dimensional analysis including financial health, legal compliance, business operations, team background, market position, and risk assessment.
Generate professional DD reports in minutes instead of weeks.
Core Features
1. Company Profile Analysis
Analyze target companies and extract key information:
- Corporate information verification
- Shareholder structure mapping
- Related party identification
- Historical change tracking
- Initial risk assessment
Usage: "Analyze company: ByteDance" or "分析公司：字节跳动"
2. Quick Due Diligence Report
Generate rapid due diligence reports:
- Executive summary with rating
- Company overview
- Key findings (strengths, concerns, critical issues)
- Quick risk assessment
- Next steps recommendations
Usage: "Quick DD: Tencent" or "快速尽调：腾讯"
3. General Consultation
AI-powered consultation on due diligence topics:
- DD process and methodology
- Risk identification techniques
- Industry best practices
- Valuation approaches
- Investment decision support
Usage: "What is due diligence?" or "How to assess a company's financial health?"
Planned Features (v0.2.0+)
- Financial Due Diligence (statements analysis, metrics calculation)
- Legal & Compliance Checks (litigation search, IP verification)
- Business Analysis (business model, competitive landscape)
- Team Background Checks (founder verification, work history)
- Market & Industry Analysis (trends, sizing, competitors)
- Risk Assessment Matrix (multi-dimensional risk scoring)
- Professional Report Export (PDF, Word, Excel, PowerPoint)
Usage Examples
Example 1: Company Analysis
User: "Analyze company: Xiaomi"
System: Generates comprehensive company profile including:
- Basic information (founding date, industry, status)
- Shareholder structure and ownership
- Related parties and affiliates
- Historical changes and funding rounds
- Key risk indicators
Example 2: Quick Due Diligence
User: "Quick DD: Meituan"
System: Generates quick DD report with:
- Executive summary (rating: B+, recommendation: proceed with caution)
- Company overview
- Quick risk assessment (financial, legal, operational)
- Key findings and red flags
- Next steps for deeper investigation
Example 3: Consultation
User: "What should I focus on in financial due diligence?"
System: Provides expert guidance on:
- Key financial metrics to review
- Common red flags to watch for
- Best practices for financial analysis
- Industry-specific considerations
How It Works
- Intent Recognition: Automatically identifies the type of analysis needed
- Multi-Agent Processing: Routes to specialized agents (Company, Financial, Legal, etc.)
- AI Analysis: Uses Claude to analyze information and generate insights
- Professional Output: Returns structured, formatted reports
Data Sources
Current Version (MVP):
- AI reasoning and analysis using Claude
- Public knowledge base
- User-provided information
Future Versions:
- Enterprise database integration (Qichacha, Tianyancha APIs)
- Financial data services
- Legal information databases
- News and sentiment monitoring
Important Notes
Disclaimers
- This tool provides analysis based on AI reasoning and public information
- Results are for reference only and do not constitute professional investment advice
- Critical information should be verified through official channels
- Actual due diligence should include on-site visits and professional expertise
Data Accuracy
- Current version does not have real-time enterprise database access
- Information may not be complete or up-to-date
- Users should verify key facts through:
- Qichacha / Tianyancha (Enterprise info) - National Enterprise Credit Information System - Official company disclosures - Professional DD firms
Best Use Cases
- ✅ Initial screening of investment targets
- ✅ Preliminary risk assessment
- ✅ Learning DD methodology
- ✅ Generating DD checklists
- ⚠️ Not a replacement for professional DD services
- ⚠️ Should be combined with manual verification
Technical Details
- Runtime: Node.js >= 22
- Language: TypeScript 5.3+
- Platform: OpenClaw 2026+
- AI: Claude (via OpenClaw)
- Architecture: Multi-agent system with specialized analyzers
Version
Current: 0.1.0 (MVP)
- ✅ Company profile analysis
- ✅ Quick DD report generation
- ✅ AI consultation support
Coming Soon:
- v0.2.0: Financial DD, Legal checks, PDF export
- v0.3.0: Business analysis, Team background, Market research
- v0.4.0: Real data source integration, Continuous monitoring
- v1.0.0: Complete 8-module system, Production-ready
License
MIT License - Open source and free to use
Support
- Documentation: README.md and docs/ folder
- Issues: Report bugs and request features on GitHub
- Community: OpenClaw Discord server
Transform the way due diligence is done - AI-powered, efficient, professional.