Quickstart
Learn how to use Qandle AI and effortlessly integrate financial intelligence into your AI application.
Getting Started Guide
Qandle AI is designed for builders! Follow these steps to get up and running:
Create Account & Generate API Key
Step 1: Account Setup
Get your API credentials to start using Qandle AI
Tasks to complete:
Visit qandle.ai to create your account
Sign in using Google, or your email
Copy your new API key using the copy button
Important
Keep your API key secure and never share it publicly. Store it safely as you'll need it for authentication.
Choose Your Integration Method
Step 2: Installation
Choose your preferred integration method based on your use case
For Python developers building AI applications
pip install qandle-ai
For JavaScript/Node.js developers
npm install qandle-ai
For AI assistants (Claude Desktop, Cursor IDE, etc.)
No installation required! Use Qandle AI directly in your favorite AI applications.
Quick Setup
Initialize the Client
Step 3: Setup
Import and configure the Qandle AI client with your API key
Configuration
Environment Variables
Set up environment variable for secure configuration:
QANDLE_API_KEY
: Your Qandle AI API key (required)
from qandle_ai import QandleClient
# Initialize the client (automatically uses environment variables)
client = QandleClient()
const QandleClient = require('qandle-ai');
// Initialize the client (automatically uses environment variables)
const client = new QandleClient();
{
"mcpServers": {
"Qandle AI": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.qandle.ai/mcp",
"--header",
"Authorization: Bearer <YOUR_API_KEY>"
]
}
}
}
Platform-specific setup
Make Your First Request
Step 4: Test Drive
Try your first API call to get financial data
# Get stock summary
summary = client.get("AAPL")
print(summary)
// Get stock summary
client.get('AAPL').then(summary => {
console.log(summary);
});
Simply ask your AI assistant:
Can you get me a financial summary for Apple (AAPL)?
The AI will automatically use Qandle AI's MCP server to retrieve the data!
What's Next?
Congratulations! 🎉
You've successfully set up Qandle AI. Here's what you can explore next:
- Integrate Qandle AI with LangChain and Langgraph - Build intelligent financial agents with pre-computed data
- Deploy in Claude, Cursor, etc - Zero-code integration with AI assistants and tools
- API Reference - Explore available endpoints