Quick question about cursor pagination for the analytics endpoint. I am building the PagerDuty SLA breach monitor and using the Python SDK to fetch conversation details. The initial request returns a valid nextPageToken, but passing it in the subsequent request yields an empty entities array despite knowing more data exists. I verified the token is passed correctly via page_token in the ConversationsDetailsQueryRequest. Here is the payload structure: json {"viewId": "...", "filters": [{"type": "metric", "metric": "wrapUpCode", "values": ["sla_breach"]}], "interval": "P1D", "page_token": "eyJ0eXAi..." } . The docs here imply simple cursor chaining, but it seems to hang after one hop. Is there a known limit on cursor depth for this specific endpoint?
It’s worth reviewing at how you are constructing the request body for the POST /api/v2/analytics/conversations/details/query endpoint. The 200 OK with empty entities usually happens when the cursor is valid but the underlying data window has shifted or the size parameter is misaligned. In my Postman collections, I ensure the pageToken is passed exactly as received in the nextPageToken field, not wrapped in any extra objects. Also, check your from and to timestamps. If they are ISO 8601 strings without explicit timezone offsets, the API might interpret them differently on the second request. Use this curl structure to verify: curl -X POST "https://api.mypurecloud.com/api/v2/analytics/conversations/details/query" -H "Authorization: Bearer {{access_token}}" -H "Content-Type: application/json" -d '{"pageToken":"<actual_token>","size":100,"from":"2023-10-01T00:00:00.000+00:00","to":"2023-10-31T23:59:59.999+00:00"}'. Ensure your Python SDK call matches this JSON structure precisely. The ConversationsDetailsQueryRequest object must have page_token set directly, not nested. If the token is stale, the API returns empty results without error. Verify the token hasn’t expired by checking the expiresAt field if available, though usually it’s just a state pointer.
The quickest way to solve this is…
I confirmed the pagination loop works after adding while page_token: in my Terraform module’s custom data source. Error: 500 Internal Server Error. Message: Invalid cursor state.
Make sure you are not resetting the from and to timestamps on subsequent requests.
This seems like a classic statefulness trap with the analytics query API. The cursor is not just a pointer; it is a snapshot of the query state at the time of the first request. If you modify any query parameters in subsequent requests, including from or to timestamps, the server invalidates the cursor. The error you are seeing is likely a silent failure where the cursor becomes stale because the underlying data window shifted or the request body changed slightly.
The suggestion above about not resetting timestamps is correct, but there is a deeper issue with how the Python SDK handles the page_token. In many SDK implementations, passing page_token in the request body while also sending the original query object can cause conflicts if the query object is re-serialized with different whitespace or ordering.
Here is the minimal repro for a safe pagination loop using PureCloudPlatformClientV2. Notice how we only pass the token and keep the original query body intact, without re-instantiating the request object with new parameters:
from genesyscloud.platform.client import PureCloudPlatformClientV2
platform_client = PureCloudPlatformClientV2()
api = platform_client.analytics_api
# Initial request
request_body = {
"from": "2023-10-01T00:00:00.000Z",
"to": "2023-10-02T00:00:00.000Z",
"size": 100
}
response, status_code, headers = api.post_analytics_conversations_details_query(body=request_body)
entities = response.body.entities
next_page_token = response.body.next_page_token
# Subsequent requests
while next_page_token:
# CRITICAL: Do not modify request_body here.
# Only pass the token. The SDK merges it internally.
response, status_code, headers = api.post_analytics_conversations_details_query(
body=request_body,
page_token=next_page_token
)
if response.body.entities:
entities.extend(response.body.entities)
next_page_token = response.body.next_page_token
# Safety break to prevent infinite loops on bad cursors
if status_code != 200:
break
Also, consider caching the initial response with a short TTL in Redis if you are polling this frequently. The analytics engine has a high latency, and repeated identical queries will hit rate limits. Use the nextPageToken as part of your cache key to ensure you do not serve stale data if the window shifts.
It depends, but generally… you must ensure the request body remains strictly identical across all paginated calls. The Genesys Cloud analytics API treats the cursor as a snapshot of the exact query state, including from, to, size, and view. If your Go client inadvertently modifies any field-such as adding a timestamp that shifts by a second or altering the view parameters-the server invalidates the cursor, resulting in an empty entities array or a 400 Bad Request. I recommend implementing a immutable request struct that is cloned exactly for each iteration, ensuring no background goroutines or middleware alter the payload.
Below is a Go snippet demonstrating the correct pagination pattern using PureCloudPlatformClientV2. Notice how queryRequest is defined outside the loop and passed unchanged. Do not recreate the ConversationsDetailsQueryRequest inside the loop with dynamic timestamps.
client := platformclientv2.New()
analyticsAPI := client.AnalyticsApi
// Define query once
queryRequest := &platformclientv2.ConversationsDetailsQueryRequest{
From: platformclientv2.NewNullableString(strconv.FormatInt(startTime.UnixNano()/1e6, 10)),
To: platformclientv2.NewNullableString(strconv.FormatInt(endTime.UnixNano()/1e6, 10)),
Size: platformclientv2.NewNullableInt(1000),
}
var allEntities []platformclientv2.ConversationDetail
for {
resp, _, err := analyticsAPI.PostAnalyticsConversationsDetailsQuery(queryRequest)
if err != nil {
log.Fatalf("API Error: %v", err)
}
if resp.GetEntities() != nil {
allEntities = append(allEntities, resp.GetEntities()...)
}
if resp.GetNextPageToken() == nil || *resp.GetNextPageToken() == "" {
break
}
// Crucial: Update only the page token, keep everything else identical
queryRequest.PageToken = resp.GetNextPageToken()
}
Verify that your size parameter does not exceed the maximum allowed per request (usually 1000). Also, ensure you are not resetting from/to in the loop. If you see 413 Entity Too Large, switch to date chunking as mentioned in my previous post.