Interactive API explorer with real-time testing
Real-time event processing and analytics service
Retrieve the latest 100 events from the system with filtering and pagination support.
[
{
"id": 1,
"user_id": "user_001",
"event_type": "page_view",
"timestamp": "2025-07-04T10:34:14Z",
"context": {
"page": "homepage",
"referrer": "google.com"
},
"metadata": {
"ip": "192.168.1.1",
"user_agent": "Mozilla/5.0..."
}
},
{
"id": 2,
"user_id": "user_002",
"event_type": "button_click",
"timestamp": "2025-07-04T10:35:22Z",
"context": {
"button_id": "subscribe_btn",
"page": "pricing"
},
"metadata": {
"session_id": "sess_abc123"
}
}
]Create a new event in the system with custom context and metadata.
{
"user_id": "user_123",
"event_type": "purchase",
"context": {
"product_id": "prod_456",
"amount": 99.99,
"currency": "USD"
},
"metadata": {
"source": "mobile_app",
"version": "2.1.0"
}
}{
"id": 4,
"status": "created",
"timestamp": "2025-07-04T10:36:45Z"
}Centralized feature management system for ML models
List all available features in the feature store with metadata and versioning info.
[
{
"id": 1,
"name": "user_age",
"feature_group": "demographics",
"data_type": "int",
"description": "User's age in years",
"version": "1.0",
"created_at": "2025-07-04T08:30:00Z",
"updated_at": "2025-07-04T08:30:00Z"
},
{
"id": 2,
"name": "purchase_frequency",
"feature_group": "behavioral",
"data_type": "float",
"description": "Average purchases per month",
"version": "2.1",
"created_at": "2025-07-03T14:20:00Z",
"updated_at": "2025-07-04T09:15:00Z"
}
]Register a new feature in the feature store with versioning and lineage tracking.
{
"name": "user_lifetime_value",
"feature_group": "user_metrics",
"data_type": "float",
"description": "Predicted lifetime value of the user",
"transformation": "sum(purchases.amount) * retention_rate",
"dependencies": ["purchase_history", "retention_model"]
}{
"id": 4,
"status": "created",
"version": "1.0",
"feature_group": "user_metrics",
"created_at": "2025-07-04T10:38:12Z"
}Monitor system health and service status
Check the health status of all services and dependencies.
{
"status": "healthy",
"timestamp": "2025-07-04T10:40:00Z",
"services": {
"database": {
"status": "healthy",
"type": "sqlite",
"response_time_ms": 2
},
"cache": {
"status": "healthy",
"type": "redis",
"memory_usage": "12.5MB"
},
"ml_service": {
"status": "healthy",
"models_loaded": 3,
"avg_inference_time_ms": 45
}
},
"system": {
"cpu_usage": "15%",
"memory_usage": "32%",
"uptime_hours": 720
}
}