Analytics API aggregation query grouping by queue and media type returns empty results

I can’t seem to figure out why my aggregation query to the Genesys Cloud Analytics API is returning an empty dataset despite valid filters. I am polling /api/v2/analytics/interactions/queues/aggregates to build a summary view for our Slack bot dashboard, specifically targeting talk and chat media types across multiple queues. The request body below defines the interval as last_24_hours and includes the necessary groupBy fields for queueId and mediaType. I have verified that these queues have active interactions during the selected window using the realtime statistics endpoint, yet the aggregate response yields zero rows. The API returns a 200 OK status, which suggests the syntax is valid, but the data retrieval logic seems flawed. I suspect the issue might lie in how the metrics array interacts with the groupBy configuration or perhaps a subtle mismatch in the filter logic for mediaType. I am using the Python SDK to construct the payload, and I have double-checked the OAuth token permissions, which include analytics:view. Any insights on why this specific combination of groupBy keys and metric selections might trigger an empty result set would be appreciated. I need this data to trigger alerts when queue wait times exceed thresholds, so accuracy is critical.

interval: last_24_hours
metrics:
 - type: talk
 id: talk_duration_sec
 - type: chat
 id: chat_duration_sec
groupBy:
 - id: queueId
 - id: mediaType
filter:
 type: and
 clauses:
 - type: condition
 id: queueId
 operator: in
 values:
 - 'abc123-queue-id'
 - 'def456-queue-id'
 - type: condition
 id: mediaType
 operator: in
 values:
 - talk
 - chat

I have tried removing the mediaType filter to see if it returns data, and it does, but adding it back causes the result to vanish. This indicates a potential issue with how the mediaType condition is evaluated in conjunction with the groupBy clause.

What’s happening here is that last_24_hours is not a valid interval format for this endpoint, which requires ISO 8601 duration strings like P1D.

{
 "interval": "P1D",
 "groupBy": ["queue", "mediaType"],
 "metrics": ["talkDuration", "handleDuration"]
}

Fix the interval syntax in your payload and the aggregation should return data immediately.

Have you tried validating the interval format against the SDK’s strict ISO 8601 parser? The last_24_hours alias is invalid for aggregation endpoints.

const payload: InteractionAggregationQuery = {
 interval: 'P1D',
 groupBy: ['queue', 'mediaType'],
 metrics: ['talkDuration']
};

Switching to P1D resolves the empty result issue.

{
“interval”: “P1D”,
“groupBy”: [“queue”, “mediaType”],
“metrics”: [“talkDuration”, “handleDuration”],
“filter”: {
“type”: “queue”,
“ids”: [“your-queue-id-here”]
}
}

The suggestion above is correct regarding the interval syntax, but relying solely on P1D often leads to empty results if the queue IDs in your filter array are stale or if the media types don’t align with the specific queue configurations. I’ve seen this exact issue in React Native dashboards where the initial fetch succeeds but subsequent polling returns null because the underlying data hasn’t propagated to the analytics index yet.

You need to explicitly define the filter object with valid queue UUIDs. If you omit this or use a wildcard without proper scope permissions, the API silently returns an empty array. Also, ensure your OAuth token includes the analytics:interaction:view scope. Without it, you might get a 200 OK with empty data instead of a 403, which is incredibly frustrating to debug.

Here is how I handle this in my mobile app using the PureCloud SDK to ensure the query structure is valid before sending:

const analyticsApi = platformClient.AnalyticsApi;

const query = {
 interval: 'P1D',
 groupBy: ['queue', 'mediaType'],
 metrics: ['talkDuration', 'handleDuration'],
 filter: {
 type: 'queue',
 ids: ['123e4567-e89b-12d3-a456-426614174000'] // Replace with actual queue ID
 }
};

try {
 const response = await analyticsApi.postAnalyticsInteractionsQueuesAggregates(query);
 console.log('Aggregation Result:', response.body);
} catch (error) {
 console.error('Failed to fetch analytics:', error);
}

If you still see empty results after fixing the interval and filter, check the from and to timestamps. The P1D interval calculates from the current time, which might include a partial day with no interactions yet. Hardcoding a completed date range like 2023-10-01T00:00:00.000Z/2023-10-02T00:00:00.000Z helps verify if the issue is data availability or query structure. See the official docs for more details on filter constraints: https://developer.genesys.cloud/apidocs/analytics/interaction-aggregates

I’d suggest checking out at the specific filter object structure within the aggregation query, as the suggestion above only addresses the interval syntax without validating the queue scope.

{
 "interval": "P1D",
 "groupBy": ["queue", "mediaType"],
 "metrics": ["talkDuration", "handleDuration"],
 "filter": {
 "type": "queue",
 "ids": ["actual-queue-id-from-api"]
 }
}

Ensuring the ids array contains valid, active queue IDs retrieved via /api/v2/queues prevents the silent empty result caused by mismatched or deleted resources.