How does GDAX handle rate limiting for API requests?

3 answers

• Đức Lã AnhMay 06, 2021 · 4 years ago
  GDAX implements rate limiting for API requests to prevent abuse and ensure fair access. They use a token bucket algorithm to control the rate at which requests can be made. Each user is assigned a token bucket with a certain capacity and refill rate. When a request is made, a token is consumed from the bucket. If the bucket is empty, the request is rejected. The bucket is refilled over time, allowing users to make requests at a controlled rate. This helps prevent API abuse and ensures fair access for all users.
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• mentallydevJun 02, 2023 · 2 years ago
  GDAX handles rate limiting for API requests by using a token bucket algorithm. This algorithm allows GDAX to control the rate at which requests can be made, preventing abuse and ensuring fair access. Each user is assigned a token bucket with a certain capacity and refill rate. When a request is made, a token is consumed from the bucket. If the bucket is empty, the request is rejected. The bucket is refilled over time, allowing users to make requests at a controlled rate. This rate limiting mechanism helps maintain the stability and reliability of the GDAX API.
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• Tumelo MabenaMay 27, 2024 · a year ago
  GDAX has implemented rate limiting for API requests to prevent abuse and ensure fair access. They use a token bucket algorithm, which assigns each user a token bucket with a certain capacity and refill rate. When a request is made, a token is consumed from the bucket. If the bucket is empty, the request is rejected. The bucket is refilled over time, allowing users to make requests at a controlled rate. This rate limiting mechanism helps protect the GDAX API from abuse and ensures that all users have equal access to the API.
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