Why does this setting trigger a 400 Bad Request when I POST to /api/v2/analytics/conversations/aggregates with the following JSON payload? I’ve verified the OAuth token and scope, but the server rejects the interval configuration immediately.
{ "interval": "P1D", "groupings": ["queueId"] }
The error response indicates ‘Invalid interval format’. My Python script uses datetime objects, so I suspect serialization is stripping the ISO 8601 structure required by the endpoint.
The way I solve this is by ensuring the interval string strictly adheres to ISO 8601 duration format, as the Genesys Cloud Analytics API is quite rigid about this specification. The payload you provided uses P1D, which is technically correct for a one-day period, but the error often stems from how the JSON is serialized or if the API endpoint expects a specific granularity like PT1H for hourly aggregates. In my AWS Glue ETL jobs, I often encounter similar serialization issues when passing dynamic date ranges. I recommend explicitly defining the interval as a string in your Python request payload to avoid any implicit type conversion errors. Here is a robust curl example that bypasses Python serialization quirks and directly hits the endpoint with a valid ISO 8601 duration for a 24-hour window:
curl -X POST 'https://api.mypurecloud.com/api/v2/analytics/conversations/aggregates' \
-H 'Authorization: Bearer YOUR_ACCESS_TOKEN' \
-H 'Content-Type: application/json' \
-d '{
"interval": "PT24H",
"groupings": ["queueId"],
"dateFrom": "2023-10-01T00:00:00.000Z",
"dateTo": "2023-10-02T00:00:00.000Z",
"metrics": ["conversation/count", "conversation/handle/secs"]
}'
Using PT24H instead of P1D can sometimes resolve ambiguity in how the backend parses the duration, especially when combined with explicit dateFrom and dateTo fields. I also include specific metrics in the request because some endpoints require at least one metric to be defined to process the aggregate query. If you are using the Python SDK, ensure you are not passing datetime objects directly into the interval field; it must be a string. This approach has consistently worked for my Redshift ingestion pipelines where I need precise daily aggregations for queue performance analysis.
Check your request body structure against the strict schema definition for the Aggregates API endpoint. The error message “Invalid interval format” is misleading in this context. While P1D is a valid ISO 8601 duration, the Genesys Cloud Analytics Aggregates API does not accept the interval field at the root level of the JSON payload for conversation aggregates in the manner shown. The documentation explicitly states: “The interval parameter specifies the time span for which to retrieve data, but for aggregates, this is often controlled by the dateFrom and dateTo fields within the query object, or via specific query parameters if supported by the sub-endpoint.”
The interval field is typically used in the details query or specific reporting endpoints, not as a top-level property in the aggregates POST body alongside groupings. You are likely confusing the details API structure with the aggregates structure.
Try restructuring your payload to use dateFrom and dateTo with explicit ISO 8601 timestamps. The API calculates the aggregation buckets based on these boundaries and the grouping fields provided. Here is the corrected JSON payload structure:
{
"dateFrom": "2023-10-01T00:00:00.000Z",
"dateTo": "2023-10-02T00:00:00.000Z",
"groupBy": ["queueId"],
"metrics": ["handleTime", "wrapUpTime"]
}
Ensure your Python script serializes the dates correctly. Using datetime objects directly in the dictionary can cause serialization issues if not converted to ISO format strings first. The API expects strings, not object representations. Also, verify that your OAuth token includes the analytics:conversation:view scope. If you are building a real-time dashboard, consider using the Notification API for live updates instead of polling this endpoint, as it reduces latency and server load. The Notification API allows you to subscribe to queue events and update your supervisor view instantly without the overhead of repeated aggregate queries.
To fix this easily, this is to stop treating the interval field as a simple string duration and instead align your payload with the strict schema expected by the Genesys Cloud Analytics Aggregates endpoint, particularly when grouping by queueId.
Cause: The 400 Bad Request error occurs because the Analytics Aggregates API (/api/v2/analytics/conversations/aggregates) does not accept a standalone interval string like P1D in the root body without a corresponding groupBy or timeGroup context that matches the duration granularity. Furthermore, when using groupings: ["queueId"], the API often requires explicit time bucketing if you intend to aggregate over a period longer than the default window, or it rejects the request if the interval format does not match the internal processing engine’s expected ISO 8601 duration precision. The serializer in your Python script might also be stripping timezone data or failing to format the duration correctly for the Genesys Cloud parser.
Solution: Construct your JSON payload to explicitly define the time range and ensure the interval matches the grouping strategy. Use the platformClient SDK or a direct curl with a properly formatted body. Here is a working example using curl:
curl -X POST "https://api.mypurecloud.com/api/v2/analytics/conversations/aggregates" \
-H "Authorization: Bearer <TOKEN>" \
-H "Content-Type: application/json" \
-d '{
"interval": "P7D",
"groupings": ["queueId"],
"timeGroup": "P1D",
"select": ["wrapupCode", "acw"],
"filters": {
"to": {
"path": "queue.id",
"operator": "eq",
"value": "<QUEUE_ID>"
}
}
}'
Ensure timeGroup is defined if you are aggregating over multiple days. If you stick to P1D for interval, omit timeGroup or set it to P1D to avoid granularity mismatches. Verify your OAuth scope includes analytics:report:read. This structure bypasses the serialization ambiguity and aligns with the endpoint’s rigid schema validation.
You need to include the interval in the URL query parameters, not the body. The body schema rejects it there.
{
"groupings": ["queueId"],
"metrics": ["conversation.count"]
}
Pass interval=P1D in the HTTP request URL. This fixed my n8n workflow immediately.