Example API Integration Guide
Learn how to integrate the Example API into your application
Getting Started with Example API
This guide will walk you through integrating our Example API into your application. This API allows you to fetch and analyze data programmatically.
Prerequisites
- An API key from the Critique AI marketplace
- Basic knowledge of JavaScript/HTTP requests
- A development environment set up
Step-by-Step Integration
1. Authentication Setup
First, you’ll need to include your API key in the request headers:
Never expose your API key in client-side code. Always store it securely in environment variables or a secure configuration system.
2. Making API Requests
Here’s a complete example of how to fetch data:
3. Handling the Response
The API returns two main components:
response
: The formatted output datacontext
: Source information and metadata
Response Format
The API returns data in the following structure:
Best Practices
-
Rate Limiting
- Remember, while your balance is 0, your rate limit is 10 requests per minute. When you add credits, your rate limit will increase to 100 requests per minute.
- Implement proper rate limiting in your application
- Cache responses when possible
- Use batch requests when available
-
Error Handling
- Always implement robust error handling
- Provide meaningful error messages to users
- Log errors for debugging
-
Security
- Store API keys securely
- Use environment variables
- Implement proper access controls
Example Implementation
Here’s a complete example using async/await and proper error handling:
Need Help?
If you encounter any issues or need support:
- Check our API Documentation
- Visit our Support Portal
- Contact us at api-support@critique-labs.ai
Remember to replace placeholder values with your actual API credentials and endpoints.