API Rate Limit Strategy Simulator

 Build an API Rate Limit Strategy Simulator that compares fixed-window, sliding-window, token-bucket, and leaky-bucket rate-limiting strategies under configurable traffic patterns. Allow users to simulate bursts, sustained traffic, multiple API keys, shared quotas, retries, and distributed application instances. Visualize accepted requests, rejected requests, queue delays, fairness, and estimated infrastructure overhead. Include configurable limits by user, organization, endpoint, and subscription tier. Generate implementation examples for popular backend frameworks and explain trade-offs involving distributed counters and race conditions. Use reproducible simulated traffic by default, label assumptions clearly, and never send load tests to production systems without explicit authorization.