Entity Intelligence API - Quick Reference
Project Summary
One-Line Description:
An AI-powered REST API that automatically gathers and analyzes intelligence on any entity (person, company, location) from 20+ authoritative web sources.
What It Does:
Enter any name → Get comprehensive intelligence report with AI analysis in 30-50 seconds
Purpose
Problem Solved
- Manual research is time-consuming - Hours spent browsing multiple websites
- Information is scattered - Data spread across 20+ different platforms
- Analysis takes expertise - Synthesizing information requires skill and time
Our Solution
- Automated Intelligence Gathering - Scrapes 10-20 sources simultaneously
- AI-Powered Analysis - Gemini synthesizes findings into structured report
- One-Click Reports - Export to JSON, Markdown, or PDF instantly
Use Cases
| Use Case | Example |
|---|
| Due Diligence | Background check on potential business partner |
| Competitive Intelligence | Research competitor company's latest activities |
| Academic Research | Gather information on researcher and their publications |
| News Monitoring | Track entity mentions across news sources |
| Market Research | Analyze company financials and public perception |
How It Works (Simple)
1. User submits entity name via API
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2. System detects entity type (Person/Company/Location)
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3. Selects 10-20 relevant sources automatically
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4. Scrapes all sources in parallel (stealth mode)
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5. AI analyzes and synthesizes information
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6. Returns comprehensive report in 30-50 seconds
Tools & Technologies Used
Core Technologies
| Category | Technology | Purpose |
|---|
| API Framework | FastAPI | High-performance REST API |
| Web Scraping | Scrapling + Playwright | Intelligent web scraping with JavaScript support |
| Stealth Mode | Camoufox | Anti-detection browser with fingerprint randomization |
| AI Analysis | Google Gemini 2.0 Flash | Content synthesis and structured analysis |
| Language | Python 3.13 | Modern, async-first programming |
| Containerization | Docker | Portable deployment package |
| Cloud Platform | Google Cloud Run | Serverless, auto-scaling infrastructure |
Performance Metrics
| Metric | Value |
|---|
| Average Investigation Time | 30-50 seconds (10 sources) |
| Success Rate | ~80-90% (sources successfully scraped) |
| AI Analysis Time | 1-3 seconds |
| Uptime | 99.9% (Cloud Run SLA) |
Cost Efficiency
Per Investigation Cost
- Cloud Run: ~$0.0013 USD
- Gemini API: ~$0.0009 USD
- Total: ~$0.0022 USD (0.22 cents)
Key Features
1. Multi-Source Intelligence (20+ Sources)
- Universal: Google, Wikipedia, Bing, DuckDuckGo
- Professional: LinkedIn, Crunchbase, Bloomberg
- News: Reuters, BBC, Google News
- Academic: Google Scholar, arXiv, ResearchGate
2. Intelligent Source Selection
- Auto-detects entity type (Person/Company/Location)
- Selects relevant sources automatically
- Priority-based ordering (most reliable first)
3. Advanced Stealth Capabilities
- Browser fingerprint randomization
- User-agent rotation
- Anti-bot detection bypass
- JavaScript rendering support
4. Export Options
- JSON - Machine-readable data
- Markdown - Human-readable report
- PDF - Professional formatted document