Can anyone clarify the specific rate limiting thresholds for the /api/v2/analytics/data/actions/batch endpoint when invoked from a server-side AppFoundry integration? We are currently deploying a premium data synchronization module across multiple Genesys Cloud organizations. The architecture relies on periodic batch writes to update custom object records based on external CRM events.
While the integration functions correctly in low-volume sandbox environments, we are encountering consistent 429 Too Many Requests errors in production tenants with high call volumes. The error payload indicates that the request has exceeded the allowed rate for the specific API client associated with the OAuth application. Standard exponential backoff strategies are not mitigating the issue sufficiently, resulting in data latency that impacts downstream reporting accuracy.
According to the Genesys Docs, the documented limit is 100 requests per minute per API client. However, our telemetry suggests the threshold is being hit significantly earlier, often after 30-40 concurrent batch operations. Each batch contains approximately 50 records.
We are utilizing the Genesys Cloud REST API v2 via a Node.js 18.x backend. The OAuth tokens are refreshed appropriately, and the scope includes data:write and analytics:read. The issue appears isolated to the batch endpoint; individual record updates via /api/v2/objects do not trigger throttling at the same frequency.
Is there a hidden per-tenant quota or a global rate limit that applies to AppFoundry applications specifically? We have verified that the API client configuration matches the recommendations for high-throughput integrations. Any insights into optimizing the batch size or request frequency to avoid these throttling errors would be appreciated. We need to ensure data consistency across all tenant environments without compromising system stability.