heaven.xyz
Build intelligent
applications with Tidal
A modern framework for building AI-powered applications with ease.
Start AppFeatures
Powerful AI capabilities made simple.
Natural Language Processing
Process and understand text with advanced AI models.
const sentiment = await tidal.analyze(text)
Real-time Processing
Handle streaming data and live updates efficiently.
tidal.stream(data).onUpdate(handleChange)
Easy Integration
Simple APIs that work with your existing stack.
import { useAI } from 'tidal'
Vision AI
Advanced image and video processing capabilities.
const objects = await tidal.vision.detect(image)
Smart Analytics
Intelligent data analysis and visualization.
const insights = await tidal.analyze(dataset)
Auto Scaling
Automatically scales based on your needs.
tidal.setCapacity('auto')
Powerful Infrastructure
Built with modern technologies for reliability and performance.
Scalable
Auto-scaling infrastructure that grows with your needs
Reliable
Enterprise-grade stability and redundancy
Fast
Optimized for low-latency responses
Documentation
Everything you need to build with Tidal.
Getting Started
Quick start guide and installation. Learn how to set up Tidal in your project, configure settings, and make your first API call.
View DocumentationCore Concepts
Understand the architecture, data models, and best practices that make Tidal powerful and flexible.
View DocumentationAPI Reference
Complete API documentation covering all endpoints, request formats, and integration options.
View DocumentationIntegrations
Explore integrations with popular frameworks, cloud providers, and third-party services.
View DocumentationExamples
See Tidal in action with real-world examples.
import { useAI } from 'tidal'
function ChatApp() {
const ai = useAI()
async function sendMessage(text) {
const enhanced = await ai.enhance(text)
const response = await ai.chat(enhanced)
return response
}
return (
<div>
<input onChange={(e) => setMessage(e.target.value)} />
<button onClick={() => sendMessage(message)}>Send</button>
</div>
)
}const insights = await tidal.analyze('metrics', {
data: metrics.raw,
detect: ['anomalies', 'trends'],
threshold: 0.95
})
console.log('Detected anomalies:', insights.anomalies)
console.log('Trend analysis:', insights.trends)const vision = new tidal.Vision()
async function analyzeImage(image) {
const result = await vision.analyze(image, {
detect: ['objects', 'faces', 'text'],
enhance: true,
confidence: 0.8
})
return {
objects: result.objects,
faces: result.faces,
text: result.text
}
}import { NLP } from 'tidal'
const nlp = new NLP({
models: ['sentiment', 'entities'],
language: 'en'
})
const analysis = await nlp.process(text)
console.log('Sentiment:', analysis.sentiment)
console.log('Entities:', analysis.entities)