You can use rate limiting with techniques like token buckets, leaky buckets, or fixed windows to enforce request quotas and prevent API overuse.
Here is the code snippet you can refer to:

In the above code we are using the following key approaches:
- Uses Flask-Limiter for rate limiting.
- Applies default and route-specific rate limits.
- Uses IP address (get_remote_address) for client identification.
- Custom error handler for HTTP 429 (Too Many Requests).
Hence, this implementation efficiently controls API access, ensuring fair usage and protecting against overuse with minimal effort and clear configuration.