III. API Integration

Authentication Protocols

The KADES API implements robust authentication mechanisms utilizing JWT tokens and API keys for secure access control. All requests must be authenticated using bearer token authentication.

Security Configuration

SECURITY_CONFIG = {
    'jwt': {
        'algorithm': 'HS256',
        'access_token_expire_minutes': 30,
        'refresh_token_expire_days': 7
    },
    'rate_limiting': {
        'enabled': true,
        'strategy': 'sliding_window',
        'requests_per_minute': 60,
        'burst_size': 10
    }
}

Endpoint Specifications

Core Endpoints

GET /api/v1/token/{token_address}/analysis:
    description: Get comprehensive token analysis
    parameters:
        - token_address: Solana token address
        - timeframe: Analysis timeframe (1h, 24h, 7d)
    response:
        risk_score: float
        anomalies: List[AnomalyEvent]
        metrics: Dict[str, float]

POST /api/v1/monitor:
    description: Start token monitoring
    body:
        token_addresses: List[str]
        update_interval: int (seconds)
    response:
        status: str
        monitoring_ids: List[str]

GET /api/v1/anomalies:
    description: Retrieve detected anomalies
    parameters:
        - start_time: datetime
        - end_time: datetime
        - min_risk_score: float
    response:
        anomalies: List[AnomalyEvent]

WebSocket Implementation

The system provides real-time data streaming through WebSocket connections:

WS_CONFIG = {
    'ping_interval': 30,
    'ping_timeout': 10,
    'max_message_size': 1024 * 1024,  # 1MB
    'compression': True,
    'max_connections': 1000
}

Message Format

{
    "type": "anomaly_alert",
    "data": {
        "token_address": "token_address",
        "risk_score": 0.85,
        "anomaly_type": "whale_movement",
        "timestamp": "2024-01-07T12:00:00Z",
        "details": {
            "wallet_address": "wallet_address",
            "amount": 500000,
            "usd_value": 250000
        }
    }
}

Rate Limiting

class RateLimiter:
    def __init__(self, rate_limit: int = 100, window: int = 60):
        self.rate_limit = rate_limit
        self.window = window
        self.requests = defaultdict(list)
        
    async def is_allowed(self, key: str) -> bool:
        """Check if request is allowed under rate limit."""

Error Handling

Error Codes:
    400: Bad Request
    401: Unauthorized
    403: Forbidden
    429: Rate Limit Exceeded
    500: Internal Server Error

Error Response Format:
    {
        "error": {
            "code": "error_code",
            "message": "Error description",
            "details": {
                "additional": "error details"
            }
        }
    }

Monitoring Integration

The API exposes metrics through standardized endpoints:

Prometheus Metrics:
    - http_request_duration_seconds
    - http_requests_total
    - websocket_connections_active
    - api_error_rate
    - endpoint_latency_histogram

Performance Thresholds:
    Request Latency: <100ms p95
    Error Rate: <1%
    Uptime: 99.9%
    Concurrent Connections: 1000

Deployment Configuration

Kubernetes Resources:
    api:
        cpu: 2
        memory: 4Gi
        replicas: 3
    worker:
        cpu: 4
        memory: 8Gi
        replicas: 5
    cache:
        cpu: 2
        memory: 4Gi
        replicas: 3

Infrastructure Requirements:
    Load Balancer: Required
    SSL Termination: Required
    Connection Draining: 30s
    Readiness Probe: /health