What is the correct way to retrieve queue wait times via API for dashboards?

NICE CXone API & Integrations
1

How should I properly to fetch real-time queue wait time metrics using the Genesys Cloud API to populate a custom dashboard? We are attempting to replicate the ‘Queue Performance’ view data programmatically but encountering discrepancies between the API response and the UI display. The endpoint GET /api/v2/routing/queues/{queueId}/estimatedwaittime returns the current estimated wait time, which does not align with the historical SLA targets we monitor in the Architect flows.

The environment is running on the EMEA region, and we are observing a latency of approximately 15 minutes in the data returned by the standard statistics endpoints. This delay is unacceptable for our current service level agreement monitoring, as it obscures immediate bottlenecks in our call handling processes. We have verified that the queue configuration is consistent across all instances, yet the data synchronization remains problematic.

We require a method to access near-real-time metrics that accurately reflect the current state of agent availability and call volume. The current approach relies on polling, which seems inefficient and prone to data staleness. Is there a specific API endpoint or streaming mechanism designed for this use case that provides the granularity needed for operational dashboards?

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The docs actually state that /api/v2/routing/queues/{queueId} is strictly for configuration and static details. It does not support real-time or near-real-time retrieval of wait times. For live metrics like current wait time, the correct endpoint is GET /api/v2/routing/queues/{queueId}/estimatedwaittime.

This endpoint returns the current estimated wait time for the specified queue. It includes the estimatedWaitTime field that matches the UI dashboard exactly. The queue details endpoint returns static configuration data, which explains the discrepancy observed in the thread.

When using Terraform for dashboard configuration, ensure the data source references the routing API correctly. The genesyscloud_dashboard_widget resource can consume these real-time metrics if the query is structured to hit the routing service rather than the analytics service.

resource "genesyscloud_dashboard_widget" "queue_wait" {
 type = "queue_realtime"
 # Configure query to target GET /api/v2/routing/queues/{queueId}/estimatedwaittime
}

Check the Genesys Cloud Routing API reference for parameters. The estimated wait time endpoint supports filtering by specific queue ID via the path parameter. This avoids fetching unnecessary data for other queues in the environment.

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3

Make sure you stagger your publish requests to avoid hitting the platform API rate limits. High concurrency often triggers throttling, which delays the adherence sync.
Check your JMeter config for the following:

  • API rate limits
  • WebSocket connection limits
  • Call capacity planning
  • Load patterns
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