Companies spend weeks manually gathering competitive intelligence - scraping websites, analyzing reports, and synthesizing insights. Info-Ninja delivers executive-ready competitive intelligence in minutes, not weeks.
Info-Ninja is a multi-agent AI platform for competitive research:
- Department Focus: Analyze competitors through specific lenses (IT, Sales, Marketing, Finance, Product, HR)
- Targeted Research: Each analysis focuses on relevant metrics for your chosen business function
- Comprehensive Mode: "All Departments" option for complete overview
- Researcher Agent: Gathers data from diverse sources using Bright Data MCP tools
- Analyst Agent: Performs strategic analysis with quantified metrics and SWOT assessment
- Writer Agent: Creates executive-ready reports with actionable recommendations
- Real-time charts for key metrics
- Visual SWOT analysis breakdown
- Color-coded threat level indicators
- Redis integration with 90% cost reduction
- 600x speed improvement for cached results
- Niche-aware caching with separate entries per analysis focus
- React + TypeScript
- Tailwind CSS
- Recharts for visualizations
- Shadcn/UI components
- FastAPI with streaming (SSE)
- Strands Agents framework
- Google Gemini 2.0
- Redis caching
- Bright Data MCP integration
- 10+ source types (websites, SEC filings, job boards, reviews, social media)
cd api
pip install -r requirements.txt
export GEMINI_API_KEY="your_key"
export BRIGHTDATA_API_KEY="your_key"
python app.pycd ci-agent-ui
npm install
npm run devdocker-compose up| Metric | Value |
|---|---|
| First analysis | 30-60 seconds |
| Cached analysis | ~100ms |
| Speed improvement | 600x |
| API cost reduction | 90% |
POST /analyze/stream # Competitive analysis with streaming
POST /discover/competitors/stream # Find competitors from business idea
GET /cache/stats # Cache statistics
Sarthak, Tanzil, Edwin, Samson