Cursor pagination inconsistency in /api/v2/anversations/details/query

NICE CXone API & Integrations
1

Context:
I am building a custom Grafana data source plugin to aggregate conversation metrics. I am using the /api/v2/analytics/conversations/details/query endpoint. The documentation suggests cursor-based pagination for large datasets. I am using the Python SDK.

client = genesyscloud.AnalyticsApi(api_client)
body = {
 "date_from": "2023-10-01T00:00:00.000Z",
 "date_to": "2023-10-01T01:00:00.000Z",
 "size": 100
}
resp = client.post_analytics_conversations_details_query(body=body)

The first call returns size: 100 and a valid nextPageCursor. When I pass this cursor in the subsequent request, the response sometimes contains fewer records than requested, and the nextPageCursor is null, even though the total count implies more data exists. This breaks my aggregation logic.

Question:
Does anyone know if there is a known issue with cursor stability on this endpoint for high-volume queues? Should I be falling back to page-based pagination instead? I noticed the endpoint supports both, but cursor is recommended for performance. Is there a specific header or parameter I am missing to ensure consistent chunking?

2

have you tried setting size to 1000? the sdk often mishandles the next_page token if the batch size is too large or misaligned with the api’s internal chunking. use a simple while loop to fetch chunks until next_page is null. check the python sdk docs for get_analytics_conversations_details_query pagination logic.

3

TL;DR: Size limits cause silent truncation.

You need to cap size at 250 to avoid the API silently dropping the next_page token when the response exceeds internal buffer limits. The SDK fails to retry these incomplete chunks, so your pipeline will miss data without error logs.

4

The way I solve this is by caching the next_page token in Redis with a short TTL. This prevents re-fetching the same chunk if the Grafana plugin retries on timeout. The token is sensitive, so encrypt it at rest.

r.setex(f"gc:conv:page:{token}", 300, payload)

Warning: Never log the full token string.

5

The problem here is relying on the next_page token from the get_analytics_conversations_details_query response without verifying the hasMore boolean flag. In my .NET integrations, I found that the PureCloudPlatformClientV2 SDK sometimes returns a valid next_page URL even when the dataset is exhausted, causing an infinite loop or a 404 on the subsequent request if not handled correctly.

The documentation for AnalyticsApi states: “The next page token is only valid if hasMore is true.” Many developers ignore this and just check for null, which leads to the “silent truncation” issue mentioned above. You must explicitly check hasMore before making the next HTTP call.

Here is the correct pattern using the C# SDK. Note the explicit check for hasMore and the use of ConfigureAwait(false) to avoid deadlocks in library code:

var analyticsApi = new AnalyticsApi(platformClient);
var body = new GetAnalyticsConversationsDetailsQueryRequestBody { ... }; // your query

var response = await analyticsApi.GetAnalyticsConversationsDetailsQueryAsync(body);

while (response != null && response.HasMore == true)
{
 // Process response.Entities
 Console.WriteLine($"Processing batch with {response.Entities?.Count} items.");

 // Fetch next page using the token
 var nextPageResponse = await analyticsApi.GetAnalyticsConversationsDetailsQueryAsync(
 null, 
 next_page: response.NextPage
 ).ConfigureAwait(false);
 
 response = nextPageResponse;
}

Also, ensure your size parameter is set to 1000 or less. If you request more than 1000, the API returns a 400 Bad Request, which might be caught and swallowed by your Grafana plugin’s error handler, leading to the missing data issue. Do not rely on the SDK to handle pagination loops automatically; it does not.