Quick question about constructing an Analytics API aggregation query that groups by queue and media type. I am trying to get a report that shows handle time grouped by specific queues and then by media type. docs state “the groupBy array defines the dimensions for the aggregation.” I use this JSON payload in my POST request to /api/v2/analytics/queues/summary: {“query”: {“groupBy”: [“queueId”, “mediaType”], “dateRange”: {“startDate”: “2023-10-01T00:00:00.000Z”, “endDate”: “2023-10-31T23:59:59.999Z”}, “metrics”: [“handleTime”]}, “pageSize”: 200}. I get a 400 Bad Request error. The response body says {“code”: “bad_request”, “message”: “Invalid groupBy configuration. Dimensions must be compatible with the selected metrics.”}. I checked the docs again. docs state “queueId and mediaType are valid dimensions for queue metrics.” Why does this fail? I am using Python requests library. Here is my code snippet: import requests; url = ‘https://myorg.mygenesiscustomer.com/api/v2/analytics/queues/summary’; headers = {‘Authorization’: 'Bearer ’ + token, ‘Content-Type’: ‘application/json’}; payload = {“query”: {“groupBy”: [“queueId”, “mediaType”], “dateRange”: {“startDate”: “2023-10-01T00:00:00.000Z”, “endDate”: “2023-10-31T23:59:59.999Z”}, “metrics”: [“handleTime”]}}; response = requests.post(url, json=payload, headers=headers); print(response.status_code); print(response.text). I just want to see the data. The docs do not explain why queueId and mediaType are incompatible. Is there a syntax error in my JSON? I copy-pasted the example from the documentation. docs state “the request body must be a valid JSON object.” My JSON is valid. I validated it online. Why does the API reject it? I am in Asia/Kolkata timezone. Does the date range matter? I used UTC. docs state “all dates must be in ISO 8601 format.” My dates are in ISO 8601. What am I missing? I need to fix this for my manager. Please help. I am stuck. I have tried changing the metrics to talkTime but same error. docs state “handleTime is supported for queue summaries.” I am confused. Is there a different endpoint? Or is my groupBy syntax wrong? I used an array. docs state “groupBy is an array of strings.” I used strings. Why 400? I need the exact fix. I will test it immediately. Thank you.
TL;DR: Use full path keys.
The documentation actually says groupBy requires precise schema paths, not shorthand. “queueId” fails with 400. Switch to “queue.id” and “mediaType”. Here is the working payload structure for the query object:
"groupBy": [
{ "name": "queue.id" },
{ "name": "mediaType" }
]You should probably look at at the specific dimension paths for queue analytics. The shorthand often fails in strict validation. Here is the corrected payload structure that worked for our MuleSoft orchestration layer when hitting /api/v2/analytics/queues/summary.
"groupBy": [
{ "name": "queue.id" },
{ "name": "mediaType" }
]If I recall correctly, the 400 error is not just about the dimension path syntax. It is often caused by a mismatch between the selected metrics and the allowed groupBy dimensions for that specific endpoint. While queue.id and mediaType are valid dimensions, you cannot pair them with every metric. For example, handleTime is a valid metric, but acwTime might behave differently depending on the media type.
The critical gotcha here is that the groupBy array must strictly match the schema definition for the specific analytics entity. In the CXone REST API, the queues/summary endpoint is strict about metric compatibility. If you include a metric that does not support the specified groupBy combination, the API returns a 400 Bad Request.
Here is the corrected payload structure that ensures metric compatibility and uses the full object path for dimensions. Note the inclusion of metrics to explicitly define what is being aggregated.
{
"query": {
"dateRange": {
"startDate": "2023-10-01T00:00:00.000Z",
"endDate": "2023-10-31T23:59:59.999Z",
"type": "absolute"
},
"metrics": [
"handleTime"
],
"groupBy": [
{
"name": "queue.id",
"type": "dimension"
},
{
"name": "mediaType",
"type": "dimension"
}
],
"filter": {
"type": "and",
"clauses": []
}
}
}
Ensure your OAuth token includes the analytics:query scope. If you still receive a 400, check the response body for specific validation errors. The API often returns a list of invalid dimension-metric pairs. I have seen cases where mediaType fails if the queue has no traffic for that media type in the selected date range, resulting in an empty but valid response rather than an error. Verify the data existence first.
This looks like a common validation trap in the Genesys Cloud Analytics API. While queue.id and mediaType are valid dimensions, the 400 error often stems from metric compatibility rather than just the groupBy syntax. Specifically, not all metrics support grouping by multiple dimensions simultaneously in a single query.
In my .NET 8 Azure Functions, I handle this by validating the metric against the dimension set before sending the request. If you are using handleTime, ensure you are not combining it with dimensions that require different aggregation logic. Also, verify your OAuth scope includes analytics:query:read.
Here is the corrected payload structure I use in my C# HTTP trigger function. Note the explicit metrics array and the correct dimension format:
var payload = new
{
query = new
{
groupBy = new[] {
new { name = "queue.id" },
new { name = "mediaType" }
},
dateRange = new
{
startDate = "2023-10-01T00:00:00.000Z",
endDate = "2023-10-31T23:59:59.999Z"
},
metrics = new[] {
new { name = "handleTime", type = "sum" }
}
}
};
If you still get a 400, try removing mediaType from the groupBy array and keeping only queue.id. Some metrics do not support multi-dimensional grouping in the summary endpoint. You may need to make separate calls for each media type if the API rejects the combined query.
Warning: Do not assume all metrics support the same groupBy dimensions. Always check the API reference for the specific metric’s allowed dimensions. A 400 error often means the metric-dimension combination is invalid, not just a syntax error.