Integration rate limits
Reduce calls per business operation before buying more capacity
A higher provider quota may help, but repeated polling and unnecessary reads can consume it quickly. Measure the request pattern behind completed work.
In this article
Count the complete call chain
Trace a representative business operation and count all provider calls, including pagination, retries and status polling. The visible API action may trigger several hidden requests in a client helper.
Separate useful reads from repeated retrieval of unchanged data. Keep correctness requirements explicit before removing any call.
Measure different operation classes because a simple contact lookup and a historical reconciliation can have very different cost.
Compare alternative patterns
Supported batch endpoints, conditional reads or event notifications may reduce request volume for some workflows. Check their semantics and limits rather than assuming fewer HTTP calls always means less provider cost.
Batch responses may need item-level recovery. A single request that partly succeeds can be more complex to reconcile than several independent operations.
Use provider-supported incremental mechanisms where suitable, with a recovery strategy for missed or invalidated cursors.
Model the quota against demand
Estimate completed business operations from measured calls or points per operation, leaving room for recovery and important interactive work.
For an illustrative local budget of 600 request units per minute, an operation consuming six units supports at most 100 such operations per minute before other work. Reducing it to three units changes the capacity more directly than adding workers.
Use actual provider rules and current commercial terms for a real plan.
Include waiting and engineering cost
A quota increase may be justified when demand is legitimate and the integration is already efficient. Compare that option with user delay, implementation effort and operational complexity.
Do not create a fragile cache or incomplete sync merely to reduce calls. Stale or missing business data can cost more than the saved request capacity.
The useful capacity model connects provider consumption to correct completed work. It should show which optimisation or plan change improves that result and what tradeoff it introduces.
Primary sources
GitHub: REST API rate limitsReferences checked 11 September 2026.