Decode the Future of AI
Advanced AI analytics powered by artificial intelligence. Visualize, analyze, and understand AI ecosystem like never before.
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Data Points
1.2M+
AI Models
5
AI Performance Chart
Introduction to AetherAI
AetherAI is a powerful AI analytics platform that leverages artificial intelligence to provide deep insights into the AI ecosystem. Our platform processes millions of data points in real-time to deliver actionable intelligence for developers, researchers, and AI enthusiasts.
Key Features
- Real-time AI model monitoring
- AI-powered trend analysis
- Advanced data visualization
- Predictive analytics
- Custom alert system
Features & Capabilities
Real-time Analytics
Monitor AI model activity as it happens with millisecond precision. Our platform processes model predictions, training metrics, and performance indicators in real-time.
- Model performance monitoring
- Training metrics analysis
- Inference tracking
- Resource utilization monitoring
AI-Powered Predictions
Leverage advanced machine learning models to predict performance trends, detect anomalies, and identify potential opportunities.
- Performance predictions
- Resource optimization
- Anomaly detection
- Pattern recognition
Advanced Visualization
Transform complex AI metrics into intuitive, interactive visualizations that help you understand model dynamics at a glance.
- Custom dashboards
- Interactive charts and graphs
- Model architecture visualization
- Real-time data feeds
API Reference
REST API Endpoints
GET /v1/models
Retrieve model performance history with optional filters
curl -X GET "https://api.aetherai.com/v1/models" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json"
POST /v1/analysis/predict
Generate performance predictions using AI models
curl -X POST "https://api.aetherai.com/v1/analysis/predict" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"timeframe": "1h", "confidence": 0.95}'
WebSocket API
Connect to our WebSocket API for real-time updates and streaming data.
const ws = new WebSocket('wss://api.aetherai.com/v1/stream');
ws.onmessage = (event) => {
const data = JSON.parse(event.data);
console.log('Received:', data);
};
Configuration Guide
Environment Setup
Configure your environment variables for secure API access:
# .env
AETHER_API_KEY=your_api_key
AETHER_ENVIRONMENT=production
AETHER_WEBSOCKET_URL=wss://api.aetherai.com/v1/stream
AETHER_REST_URL=https://api.aetherai.com/v1
SDK Configuration
Initialize the AetherAI SDK with your configuration:
import { AetherAI } from '@aetherai/core';
const config = {
apiKey: process.env.AETHER_API_KEY,
environment: process.env.AETHER_ENVIRONMENT,
endpoints: {
ws: process.env.AETHER_WEBSOCKET_URL,
rest: process.env.AETHER_REST_URL
},
options: {
timeout: 5000,
retries: 3
}
};
const aether = new AetherAI(config);
Tutorials
Getting Started with AI Analytics
Learn how to use our AI models to generate performance predictions.
Read Tutorial →Video Tutorials
Quick Start Guide
Get up and running with AetherAI in 10 minutes
Advanced Analytics
Deep dive into our analytics capabilities