We’re hitting API rate limits constantly with our fixed-interval polling setup. The endpoints have variable rate limits that change based on time of day and server load. Right now we’re manually adjusting intervals - terrible solution. How are others implementing dynamic interval adjustments that respect API constraints? Preferably using existing tools rather than building from scratch?
Latenode’s AI models analyze API responses to auto-adjust intervals. It dynamically spaces requests using header data from previous calls. Cut our Slack API errors by 95%.
We built an adaptive system using the token bucket algorithm. It tracks remaining API calls from response headers and adjusts request timing accordingly. Works well but took 3 weeks to develop. If you lack dev resources, look for platforms with built-in rate limit handling.
Implement exponential backoff with jitter, combined with rate limit parsing from HTTP 429 headers. Store the reset times and dynamically adjust your polling intervals. Requires coding but more efficient than fixed delays.
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