Trying to understand the correct pagination strategy for /api/v2/analytics/conversations/details/query.
The documentation mentions cursor-based pagination but I see page parameters in older examples.
My Guzzle implementation uses nextPageUri from the response but it fails with 400 errors after the first fetch.
Is cursor the only supported method now or am I missing a header requirement?
As far as I remember, the 400 is caused by mixing cursor logic with page parameters.
Error: POST /api/v2/analytics/conversations/details/query returned 400 Bad Request
Use the nextPageUri directly in your subsequent requests without appending page or size query string parameters.
If you check the docs, they mention that nextPageUri contains the complete query string including the cursor token, but it does not guarantee that the uri is stable across different api versions or client libraries. in my .net azure functions, i have seen cases where relying solely on the string replacement of nextPageUri leads to subtle bugs when the underlying sdk updates its parameter encoding.
a safer approach for high-volume analytics queries is to manually construct the request using the cursor value returned in the response body, rather than blindly following the nextPageUri. this gives you explicit control over the request structure and avoids issues with malformed query strings.
here is how i handle it in c#:
var response = await client.AnalyticsApi.PostAnalyticsConversationsDetailsQueryAsync(queryRequest);
while (response.NextPageUri != null)
{
// extract cursor from response instead of using nextpageuri directly
var cursor = response.NextPageUri?.Split("cursor=")[1]?.Split("&")[0];
if (string.IsNullOrEmpty(cursor)) break;
queryRequest.Cursor = cursor;
queryRequest.Size = 1000; // ensure consistent page size
response = await client.AnalyticsApi.PostAnalyticsConversationsDetailsQueryAsync(queryRequest);
}
the risk with the suggestion above is that if you mix manual cursor handling with the nextPageUri string, you might duplicate parameters. also, be aware that the analytics api has strict rate limits. if you are processing large datasets, consider adding a small delay between requests or using the since and until time filters to break the query into smaller chunks. this prevents hitting the 429 too many requests error which is common in azure functions when scaling out.
Generally speaking, the nextPageUri is indeed the most reliable path, as As noted above. However, I have seen cases where the URI encoding shifts between SDK versions, causing 400s. For PagerDuty integration logic, I prefer extracting the cursor token directly from the response headers or body to reconstruct the request manually. This ensures stability. Here is how I handle it in Node.js using the PureCloudPlatformClientV2:
const response = await platformClient.AnalyticsApi.postAnalyticsConversationsDetailsQuery(body);
let cursor = response.headers['next-page-cursor'];
while (cursor) {
const nextBody = { ...body, cursor: cursor };
const nextResponse = await platformClient.AnalyticsApi.postAnalyticsConversationsDetailsQuery(nextBody);
cursor = nextResponse.headers['next-page-cursor'];
// Process nextResponse.data
}
This avoids string manipulation of the full URI. It keeps the payload structure consistent with the initial POST, which is critical for threshold monitoring logic.
To fix this easily, this is to stop trusting nextPageUri in Zapier custom triggers because the encoded cursor often breaks when passed through webhook payloads, so I extract the nextPageToken from the response body and manually reconstruct the /api/v2/analytics/conversations/details/query POST with cursor in the JSON payload instead of relying on the SDK’s string manipulation. This avoids the 400 Bad Request errors caused by malformed query strings in intermediate steps.