👋Welcome to Infinitode Documentation
You’re about to dive into Infinitode’s powerful suite of APIs and Libraries, designed to help you integrate advanced tools—everything from AI to generators—into your projects with minimal fuss.
🚀 Quickstart
Here is a simplified example of how to use our BMI Calculator API with a POST
request in JavaScript
:
Set the API endpoint
const apiUrl = 'https://infinitode.netlify.app/api/v1/bmi';
Create and prepare your input data
const data = {
"apiKey": "YOUR_API_TOKEN",
"height": 1.75,
"weight": 70
};
Call the API
fetch(apiUrl, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify(data),
})
.then(response => response.json())
.then(result => {
console.log('BMI:', result.bmi);
})
.catch(error => {
console.error('Error:', error);
});
🔑 Authentication & Security
To make API calls, you will need to find your API key in your account settings. Keep this key secure. For information on rate limits, securing your credentials, and managing error codes, please visit the respective documentation page of the API you are using.
📦 Platform & Libraries
Serverless APIs: Modular HTTP endpoints—call directly without an SDK from any language.
Python Libraries: Install per-package clients via
pip
, e.g.:pip install duplipy
JavaScript Libraries: Available through JSDelivr and GitHub:
https://cdn.jsdelivr.net/gh/Infinitode/BlurJS@main/dist/blur.min.js https://github.com/infinitode/blurjs
AI Models & Datasets: Explore pretrained models and datasets on Hugging Face and GitHub for classification, generation, and more.
📚 What’s Inside
API Reference: Category‑based guides for all endpoints
Libraries: Package‑specific quickstarts, tutorials, and references
AI Models & Datasets: Prebuilt models and usage guides for datasets
Visit the FAQs for common questions and troubleshooting.
Updates to our documentation and FAQs
We update these pages whenever we release something new or at least once a month. Please reach out if you notice any issues, such as spelling, grammar, or broken snippets. We tend to skim quickly, occasionally overlooking details.
FAQs
Last updated
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