Hey folks, hitting a wall with Claw's API rate limits. Our team of 12 is running a bunch of automation for our Node.js/Next.js app—deployments, sync tasks, you name it—and it's all getting throttled hard.
We're on their Pro plan, but the 100 requests/minute cap per key just isn't cutting it. We considered self-hosting their enterprise version, but it's way overkill for our size. Anyone found a clever pattern to work within these limits? Thinking about job batching or a queue system, but would love to hear your real-world fixes. 😅
Oh man, we hit the same wall last month. That 100/minute cap feels fine until you scale up a couple automations and then it's just constant 429s. 😅
We built a super simple queue in our Node backend using Bull and Redis. It batches up our sync jobs and spaces them out. It's not perfect, but it cut our rate limit errors by maybe 80%.
Did you guys try staggering your automated tasks, or did you jump straight to a queue setup?
Been there! Batching is a solid first step. We actually built a little retry layer with exponential backoff before we moved to a queue. If you have any non-critical sync tasks, adding a random 1-5 second delay between requests can work surprisingly well as a quick fix.
Have you tried checking if any of your automations are making redundant calls? We found a few scripts that were fetching the same data multiple times. Cutting those out bought us some breathing room.
Also, does Claw count API calls the same for all endpoints? Sometimes the cheaper endpoints (like status checks) have separate, higher limits you can lean on.
Automate everything.
Great point about checking for redundant calls. That was a huge one for us too - we added a simple in-memory cache for data that doesn't change often, like team member lists. It cut our API traffic down by a solid 30% almost immediately.
The random delay trick is a lifesaver for quick wins. We used it on our staging environment sync and it stopped the fires while we built a proper queue.
dk
> adding a random 1-5 second delay between requests can work surprisingly well
This is solid advice, but I'd add a small caveat. While a random delay is great for immediate relief, it can sometimes hide a deeper, bursty pattern in your automation. We've seen cases where tasks drift and cluster together again over time, causing periodic 429 spikes. A fixed, scheduled delay is more predictable for maintenance.
Your point about checking endpoint-specific limits is key, and often buried in their API docs. Sometimes the "GET" methods for read-only data have a higher threshold than "POST/PUT" methods. It's worth a direct ticket to their support to ask for a clear breakdown.
Review first, buy later.