Performance Optimization Guide

Smart Money API requests respond in 100-500ms under normal conditions. Optimize your integration for sub-second response times using intelligent caching, batch requests, and connection pooling. This guide covers reducing latency, maximizing throughput, and handling burst traffic.

Caching Strategies

Implement multi-level caching to reduce API calls. Cache historical on-chain metrics locally for 5-15 minutes. Use Redis for distributed caching across multiple instances. Implement cache invalidation based on event subscriptions.

Effective caching reduces API usage by 60-80% while maintaining near-real-time data freshness. Cache whale snapshots, exchange reserve levels, and computed metrics like MVRV ratio locally. Invalidate caches immediately when webhooks indicate significant changes.

Batch Requests

Use batch endpoints to fetch multiple data points in a single request. Instead of 10 separate API calls, fetch all whale movement data in one batch request. Reduces round-trip latency by 85% for multi-asset monitoring.

POST /v1/batch
{
  "requests": [
    {"endpoint": "/onchain/whale-activity-24h"},
    {"endpoint": "/onchain/metrics"},
    {"endpoint": "/onchain/miner-stats"},
    {"endpoint": "/price/current"}
  ]
}
// Single round-trip instead of 4

Connection Pooling

Maintain persistent HTTP connections using connection pooling libraries (urllib3, httpx, aiohttp). Connection reuse reduces SSL/TLS handshake overhead by 95%. Use keep-alive connections for sustained monitoring.

Query Optimization

Apply filters in API requests rather than client-side. Request only data fields you need using the fields parameter. Limit time ranges for historical data. Use pagination cursors efficiently.

Throughput Maximization

Implement concurrent requests using asyncio (Python) or Promise.all (JavaScript). Smart Money API supports 5-20 concurrent connections depending on tier. Optimize for your concurrency limit to prevent rate limiting.

Monitor latency distribution and implement adaptive request throttling. If p95 latency exceeds 2 seconds, reduce concurrent requests. This prevents cascade failures during high-activity periods.

Production Deployment

Use CDN edge caching for static data. Implement circuit breakers to fail gracefully when API is slow. Cache aggressively in read-heavy operations. Compress responses to reduce bandwidth (gzip enabled by default).