Can anyone clarify the rate limiting behavior for the /api/v2/analytics/reporting/get-report-data endpoint when using multi-org OAuth tokens? Our AppFoundry integration is designed to aggregate data across several Genesys Cloud organizations for a single enterprise client. The application successfully authenticates and retrieves standard report metadata without issue. However, when triggering bulk data exports for historical intervals exceeding 60 days, the API consistently returns a 429 Too Many Requests error after approximately 15 successful calls. The error payload includes a Retry-After header set to 30 seconds. We have implemented exponential backoff in our retry logic, but the throttling persists regardless of the delay interval. The request payload includes valid groupBy parameters for agent_id and queue_id. The issue appears isolated to the analytics service, as other API calls from the same OAuth token proceed normally. This bottleneck significantly delays our reporting pipeline, which is scheduled to run every 15 minutes. Is there a specific rate limit cap for multi-org analytics exports, or should we be batching these requests differently to avoid throttling?
You need to implement exponential backoff in your JMeter script because the Analytics API enforces strict per-second limits regardless of the OAuth scope.
- Rate limit headers (x-rate-limit-remaining)
- Exponential backoff logic
- Bulk export chunking
You need to verify the token scope includes analytics reporting permissions for all linked organizations. The 429 errors often stem from insufficient scope rather than pure volume throttling.
Ensure the OAuth client has the correct permissions assigned in each org. This resolves the bulk export failures without requiring complex backoff logic.