Can anyone clarify why /api/v2/analytics/conversations/details/query returns 429 Too Many Requests after just 15 calls? Running JMeter with 20 threads from Singapore. The docs suggest higher limits for this endpoint, but x-rate-limit-remaining drops instantly. Is there a specific header or token refresh needed for analytics queries under load? Current config uses standard OAuth2.
Have you tried adjusting the request payload structure to leverage the aggregation parameter instead of fetching raw conversation details? The analytics endpoint has distinct rate limits for detailed queries versus aggregated reports. When running high-throughput tests like JMeter, hitting the detailed query limit is almost immediate because each call requires significant backend processing.
Switching to an aggregated query reduces the load significantly. Here is a sample configuration that focuses on volume metrics rather than individual conversation lines:
{
"view": "conversation",
"query": "status:completed",
"aggregations": [
{
"type": "count",
"name": "conversationCount"
},
{
"type": "sum",
"name": "totalDuration",
"field": "duration"
}
],
"interval": "PT1H"
}
This approach pulls the same essential data for capacity planning but stays well within the standard OAuth2 rate limits. Also, ensure your JMeter test includes the x-genesys-tenant header if you are using a custom OAuth setup, though standard flows usually handle this automatically.
From a WFM perspective, we often see similar bottlenecks when trying to pull real-time adherence data for large agent pools. Batch processing or using the scheduled report API for historical data is usually more stable than real-time polling during peak hours. If you absolutely need granular details, consider staggering the requests with exponential backoff logic in your JMeter script to respect the Retry-After header values.