🚀 CompanyIntel - Autonomous Company Intelligence Platform

Built for Autonomous Agents Hackathon 2026

CompanyIntel is an autonomous AI platform that analyzes any company in 30 seconds, providing comprehensive intelligence across 6 key categories using multiple AI agents working in parallel.

✨ Features

• Company Overview - Founding, headquarters, employees, mission, industry
• Products & APIs - 200+ API endpoints cataloged, pricing tiers, SDK languages
• Market Intelligence - Competitor analysis, market positioning, differentiation
• Financial Data - Funding rounds, valuation, revenue estimates, growth metrics
• Team & Culture - Leadership profiles, tech stack, hiring focus
• News Sentiment - Real-time sentiment analysis from 50+ sources
• Knowledge Graph - Interactive Neo4j visualization with 8+ relationship types

🛠️ Tech Stack

Backend

• FastAPI - High-performance Python web framework
• Neo4j Aura - Graph database for knowledge relationships
• Redis - Caching layer for instant results
• Yutori - Research, Browsing, and Scouting APIs
• Tavily - AI-optimized search
• OpenAI - Sentiment analysis and insights

Frontend

• React 18 with TypeScript
• Material-UI - Component library
• React Query - Data fetching and caching
• Recharts - Data visualization
• WebSocket - Real-time progress updates

Deployment

• Render - Web Service + Background Workers + Redis

🚀 Quick Start

Prerequisites

• Python 3.11+
• Node.js 18+
• Redis (or use Render Redis)
• Neo4j Aura account (free tier)

Backend Setup

cd backend

# Create virtual environment
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Create .env file
cp .env.example .env
# Edit .env with your API keys

# Run server
uvicorn app.main:app --reload

Backend will be available at http://localhost:8000

Frontend Setup

cd frontend

# Install dependencies
npm install

# Run development server
npm run dev

Frontend will be available at http://localhost:5173

🔑 API Keys Required

Get free API keys from:

• Yutori: https://yutori.com (Research, Browsing APIs)
• Neo4j Aura: https://neo4j.com/cloud/aura/ (Graph database)
• Tavily: https://tavily.com (AI search)
• OpenAI: https://platform.openai.com (GPT models)
• Alpha Vantage: https://www.alphavantage.co (Financial data - optional)

📊 How It Works

1. User enters company name (e.g., "Stripe")
2. 7 autonomous agents activate in parallel:
   • Research Agent (Yutori Research API)
   • Browsing Agent (Yutori Browsing API)
   • Financial Agent (Multiple sources)
   • Competitor Agent (Tavily + Analysis)
   • Sentiment Agent (Tavily + OpenAI)
   • Team Agent (Web scraping)
   • Graph Agent (Neo4j)
3. Real-time progress updates via WebSocket
4. Complete analysis in ~30 seconds
5. Interactive dashboard with 6 tabs + knowledge graph

🎯 Use Cases

• Developers - Evaluate APIs before integration
• Sales Teams - Research prospects before outreach
• Investors - Due diligence on potential investments
• Job Seekers - Research companies before applying
• Product Managers - Competitive intelligence

📈 Demo Companies

Pre-configured with mock data for instant demos:

• Stripe
• OpenAI
• Shopify
• Twilio
• Vercel
• Supabase
• And more...

🏗️ Architecture

Frontend (React) → FastAPI Backend → Services:
                                     ├─ Yutori Research API
                                     ├─ Yutori Browsing API
                                     ├─ Tavily Search
                                     ├─ OpenAI Analysis
                                     ├─ Neo4j Graph DB
                                     └─ Redis Cache

🚢 Deployment

Deploy to Render

1. Push code to GitHub
2. Connect Render to your repository
3. Use backend/render.yaml for configuration
4. Add environment variables in Render dashboard
5. Deploy!

Backend will auto-deploy on push to main branch.

Frontend Deployment

cd frontend
npm run build
# Deploy dist/ folder to Render Static Site or Vercel

📝 API Documentation

Once the backend is running, visit:

• Swagger UI: http://localhost:8000/docs
• ReDoc: http://localhost:8000/redoc

Key Endpoints

• POST /api/analyze - Start company analysis
• GET /api/company/{id} - Get analysis results
• GET /api/graph/{id} - Get knowledge graph
• WS /ws/progress/{session_id} - Real-time progress
• GET /api/health - Health check

🎨 Features Showcase

Real-time Progress Tracking

7-stage progress indicator with WebSocket updates:

1. Researching company overview
2. Extracting API documentation
3. Analyzing competitors
4. Gathering financial data
5. Analyzing team & culture
6. Processing news & sentiment
7. Building knowledge graph

Knowledge Graph

Interactive Neo4j visualization showing:

• Company → Products relationships
• Company → Competitors relationships
• Company → Technologies relationships
• Company → People relationships
• And more...

Comprehensive Data

• 200+ API endpoints cataloged
• 5+ competitors analyzed
• 50+ news articles processed
• 8+ relationship types in graph
• 45+ data sources aggregated

🏆 Hackathon Compliance

Sponsor Tools Used (6+)

✅ Yutori (Research, Browsing, Scouting APIs) ✅ Neo4j (Knowledge graph database) ✅ Tavily (AI-optimized search) ✅ OpenAI (Analysis and sentiment) ✅ Render (Web Service + Background Workers + Redis)

Render Track (2+ features)

✅ Web Service - FastAPI backend ✅ Background Workers - Async processing ✅ Redis - Caching layer

Autonomous Agents

✅ 7 agents working independently ✅ Parallel execution with asyncio ✅ No manual intervention required ✅ Real-time progress tracking

📄 License

MIT License - see LICENSE file for details

🤝 Contributing

This is a hackathon project, but contributions are welcome!

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

📧 Contact

Built by [Your Team Name] for Autonomous Agents Hackathon 2026

• GitHub: [Your GitHub]
• Demo: [Deployed URL]
• Video: [Demo Video URL]

🙏 Acknowledgments

• Yutori for powerful web agent APIs
• Neo4j for graph database technology
• Render for seamless deployment
• All hackathon sponsors and organizers

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