POST /api/v2/analytics/conversations/aggregates returns 400 Bad Request with invalid metric definition

{
 "code": "bad_request",
 "message": "Invalid request body. The metric 'conv.duration' is not supported for the selected interval type 'custom'.",
 "status": 400
}

I am trying to build a custom interval report using the Analytics Conversations Aggregates endpoint. I need to calculate conversation duration and handle time for specific, non-standard intervals that do not align with the pre-built hourly or daily buckets. The documentation states that custom intervals are supported, but I keep hitting a 400 error when defining the metrics.

Here is the JSON payload I am sending to POST /api/v2/analytics/conversations/aggregates:

{
 "dateFrom": "2023-10-01T00:00:00Z",
 "dateTo": "2023-10-02T00:00:00Z",
 "intervalType": "custom",
 "intervals": [
 {
 "start": "2023-10-01T08:00:00Z",
 "end": "2023-10-01T12:00:00Z"
 },
 {
 "start": "2023-10-01T13:00:00Z",
 "end": "2023-10-01T17:00:00Z"
 }
 ],
 "metrics": [
 {
 "name": "conv.duration",
 "type": "sum"
 }
 ],
 "groupBy": ["conv.channel"]
}

I have verified the OAuth token has the analytics:reports:read scope. The time range is valid. The interval definitions are within the date range. I have tried changing conv.duration to conv.handledDuration and even conv.wrapUpDuration, but the error persists or changes slightly to indicate the metric is unsupported for custom intervals.

My goal is to get aggregated data for these specific shift blocks. I cannot use the standard hour or day intervals because they split my data across boundaries I do not care about. I need the totals for these exact windows.

Is there a specific syntax for the metrics array when using custom intervals? Or is this endpoint fundamentally restricted from returning duration metrics for non-standard time buckets?

How do I correctly structure the metrics array for custom intervals in the Analytics Conversations Aggregates API to avoid the 400 Bad Request error?

Check your interval configuration against the metric compatibility matrix. The error conv.duration is not supported for custom intervals is a known constraint in the Genesys Cloud Analytics API. Custom intervals (defined by start/end timestamps) strictly require metrics that are point-in-time or cumulative counters, not duration-based aggregates which rely on fixed window calculations.

To solve this, you have two viable paths. First, switch to a supported interval type like hour or day if your business logic allows. Second, and more likely what you need for non-standard windows, use the conv.count metric combined with Data Actions in Architect to calculate duration manually. However, if you must use the API, replace conv.duration with conv.count and wrap.up.time if applicable, then compute the average duration on the client side.

Here is the corrected payload structure using a supported interval:

{
 "interval": "hour",
 "dateFrom": "2023-10-01T00:00:00Z",
 "dateTo": "2023-10-02T00:00:00Z",
 "metrics": [
 {
 "name": "conv.count",
 "type": "count"
 },
 {
 "name": "conv.totalHandleTime",
 "type": "sum"
 }
 ],
 "groupings": ["queueId"],
 "separateWait": true
}

If you specifically need granular control over time buckets, consider using the platformClient.analytics.getAnalyticsConversationsQueuesAggregates method with hour granularity and aggregating the results in your application layer. This avoids the 400 error while giving you the precision you need.

This approach ensures stability and bypasses the strict validation rules for custom intervals.

The documentation actually says custom intervals require cumulative metrics only.

conv.duration is a point-in-time aggregate that fails here.

Switch to conv.handle or use a standard hour interval instead.

This has the hallmarks of a standard constraint. custom intervals reject duration metrics. use conv.handle instead. here is the adjusted payload for your angular service:

{
 "metrics": ["conv.handle"],
 "interval": "custom",
 "dateRange": { "from": "2023-01-01T00:00:00Z", "to": "2023-01-01T01:00:00Z" }
}

switching to handle resolves the 400.

Pretty sure the constraint regarding conv.duration and custom intervals is strictly enforced by the backend aggregation engine, but there is a workaround if you need precise duration metrics outside of standard hourly buckets. The suggestion above to switch to conv.handle is valid for agent-side metrics, but if you require total conversation duration including hold and wrap-up, you must use conv.total instead. However, conv.total also fails with custom intervals in many edge cases due to how the interval boundary logic handles overlapping time slices.

The most robust solution for custom interval reporting is to use the /api/v2/analytics/conversations/details endpoint with a high pageSize and iterate through the returned records, calculating the duration manually in your application logic. This avoids the 400 error entirely and gives you granular control.

Here is the recommended approach using the PureCloudPlatformClientV2 SDK in Python:

from purecloudplatformclientv2 import AnalyticsApi, ConversationDetailQuery

api_instance = AnalyticsApi()
query = ConversationDetailQuery(
 view="conv",
 interval="custom",
 date_range={
 "from": "2023-10-01T00:00:00.000Z",
 "to": "2023-10-01T01:00:00.000Z"
 },
 group_by=["conv.id"],
 order_by=["conv.startTime"]
)

# Fetch details in batches to avoid 413 errors
response = api_instance.post_analytics_conversations_details(query=query, page_size=1000)

total_duration_seconds = 0
for record in response.entities:
 # Calculate duration manually from start and end times
 if record.conv_end_time and record.conv_start_time:
 duration = (record.conv_end_time - record.conv_start_time).total_seconds()
 total_duration_seconds += duration

print(f"Total Duration: {total_duration_seconds} seconds")

This method requires more client-side processing but guarantees accurate duration calculations for any arbitrary time window. Ensure your app has the analytics:conversation:view scope.