Paginating /api/v2/analytics/conversations/details/query cursor vs page

Can anyone clarify pagination for /api/v2/analytics/conversations/details/query? The doc says cursor based but SDK get_analytics_conversations_details_query takes page and pageSize. My snippet resp = api.get_analytics_conversations_details_query(body, page=1, page_size=100) works but next_page in JSON is null after first call. Is cursor the only way for full history? PureCloudPlatformClientV2 docs are vague on this endpoint.

It varies, but usually the sdk abstraction for get_analytics_conversations_details_query is misleading. the underlying rest endpoint /api/v2/analytics/conversations/details/query strictly uses cursor pagination via the nextpage field in the response, not page numbers. when you pass page=1 to the sdk, it might map it incorrectly or ignore it, resulting in nextpage being null because the server expects a cursor token. in my zapier custom triggers, i bypass the sdk helper for this specific call and use platformClient.rest.post directly. i send the query body, then extract resp.nextpage. if it exists, i set body.nextpage = resp.nextpage and loop. do not rely on pageSize alone for history. the sdk method get_analytics_conversations_details_query is better for simple snapshots, but for full iteration, raw rest is safer. check the nextpage string in the json response. if it is null, your query range is too small or the cursor is exhausted.

You should probably look at at passing the cursor token directly instead of relying on page numbers. The SDK wrapper can be confusing here. Use the nextpage value from the previous response as the cursor parameter in the next request.

resp = api.get_analytics_conversations_details_query(body, cursor=prev_resp.nextpage)

Warning: Ignoring the cursor leads to duplicate or missing records in large datasets.

while resp.nextpage:
resp = api.get_analytics_conversations_details_query(body, cursor=resp.nextpage)


The SDK ignores `page` for this endpoint; it strictly requires the `cursor` parameter to chain requests. Passing `nextpage` from the response is the only way to traverse the full dataset without duplication.

You should probably look at at how the Python SDK actually maps the cursor parameter versus the raw REST API behavior, because the abstraction often hides the underlying token mechanism. The suggestion above regarding the nextpage field is technically correct, but you need to explicitly pass it to avoid the SDK defaulting to page-based logic which fails for analytics queries. When I instrument these calls for Datadog traces, I always ensure the cursor is extracted directly from the response object to maintain state integrity across retries. Here is a robust loop that handles the pagination correctly while capturing the necessary metrics for your monitoring pipeline. It ensures you do not hit rate limits by adding a small delay between requests, which is crucial for high-volume analytics queries.

from purecloudplatformclientv2 import AnalyticsApi
import time

api = AnalyticsApi(platform_client)
body = AnalyticsQueryRequest(...) # Your query definition
cursor = None
results = []

while True:
 resp = api.get_analytics_conversations_details_query(body, cursor=cursor)
 results.extend(resp.entities)
 if not resp.nextpage:
 break
 cursor = resp.nextpage
 time.sleep(0.5) # Respect rate limits