Aevorex Documentation
Overview
The ultimate financial research tool for semi-professionals. Connect 50+ data sources to your favorite AI platform with just two clicks.
We know there are already very powerful AI tools that can research markets effectively. We've built the tool that makes this research real-time with AI. This is the first step towards automated financial operations.
In the following sections, you'll learn how to connect the most powerful AI tools to real-time data sources in just two clicks. Access Federal Reserve data, stock market information, European Central Bank data, 30 years of historical stock data, crypto, news, and more.
See it in action:
ChatGPT Integration

Setting up Aevorex in ChatGPT - just paste the URL
Claude Desktop Integration

Adding Aevorex to Claude Desktop MCP settings
ChatGPT Working Example

Real Tesla analysis using live financial data
Claude Desktop Working Example

Claude analyzing stocks with real-time market data
ChatGPT Analysis Results

Comprehensive analysis with charts and insights
Claude Desktop Analysis Results

Detailed financial analysis with real data
🚀 Real-time Data
Live market data updated in milliseconds with mathematically pre-evaluated scores (0-1 scale).
📊 50+ Data Sources
Federal Reserve, ECB, EODHD, stock markets, crypto, news, insider transactions, dividends, and more.
🤖 AI Platform Ready
Works with ChatGPT, Claude, Cursor, Gemini CLI, and other AI ecosystems via tool calling.
⚡ Multiple Protocols
JSON, SSE, WebSocket support for different integration needs and real-time streaming.
📈 Historical Data
30 years of stock market history, insider transactions, earnings, and comprehensive financial analysis data.
🔐 Enterprise Ready
Google Auth + API keys, Supabase tracking & analytics, usage metrics for demand analysis.
Everything You Need for Financial Analysis
Examples
Real-world Aevorex use cases that transform financial research.
1. Equity Research Accelerator
Scenario: Junior analyst gets task: "Analyze Tesla's Q4 outlook"
Traditional Method:
- • 2-3 hours browsing (Bloomberg terminal, filings, news)
- • Excel spreadsheet building
- • Manual scoring
With Aevorex (30 seconds):
- ✅ Earnings history (30 years)
- ✅ Insider trading patterns (0-1 scores)
- ✅ News sentiment (mathematically pre-scored)
- ✅ Real-time price data
2. Macro Environment Monitor
Scenario: Portfolio manager asks: "Is the Fed tightening cycle over?"
Real-time Fed + ECB data
Pre-calculated analytics
Historical comparison
3. Student Pitch Prep
Scenario: Finance student preparing for stock pitch competition
Problem
4. News Overload Filter
Problem: 1000+ news articles/day → information paralysis
- → Mathematical scoring (0-1)
- → Pre-filtered noise
- → Milliseconds response time
5. Insider Trading Signal Detection
- ✅ Real-time SEC filing data
- ✅ Pattern detection
- ✅ Executive-level transaction history
Common Pattern in All Use Cases
Troubleshooting
Common issues and their solutions.