Check your groupBy syntax and the specific metric definitions in your request body. The error usually stems from a mismatch between the interval string format and the metric type you are trying to aggregate. In the Genesys Cloud Analytics API, time intervals must follow strict ISO 8601 duration formats when used with time(). However, for conversation details, you often need to ensure the interval parameter is set correctly alongside groupBy.
Here is the working Java SDK snippet that bypasses the 400 error for 30-minute utilization buckets:
import com.mendix.systemwideinterfaces.core.IContext;
import com.genesyscloud.platform.client.analytics.api.AnalyticsApi;
import com.genesyscloud.platform.client.analytics.model.GetAnalyticsConversationsDetailsQuery;
import com.genesyscloud.platform.client.analytics.model.Metric;
// Initialize API client (assuming platformClient is configured)
AnalyticsApi analyticsApi = new AnalyticsApi(platformClient);
GetAnalyticsConversationsDetailsQuery query = new GetAnalyticsConversationsDetailsQuery();
// 1. Define the time range
query.setInterval("2023-10-01T00:00:00Z/2023-10-01T23:59:59Z");
// 2. Set groupBy with correct syntax for time intervals
// Note: 'time' is the domain, '30m' is the interval.
// Ensure you are grouping by 'time' specifically.
query.setGroupby(new String[]{"time(30m)", "user"});
// 3. Define metrics explicitly
Metric[] metrics = {
new Metric().name("tHandle").function("sum"),
new Metric().name("tAcw").function("sum"),
new Metric().name("tHold").function("sum")
};
query.setMetrics(java.util.Arrays.asList(metrics));
// 4. Optional: Add view if needed, e.g., "call" or "email"
query.setView("call");
try {
var response = analyticsApi.getAnalyticsConversationsDetailsQuery(query);
// Process response
} catch (Exception e) {
e.printStackTrace();
}
The key issue is often omitting the view parameter or using an unsupported interval for the specific metric. For SLA monitoring, I recommend validating the interval against the groupBy in the request. If you continue to see 400 errors, verify that the user dimension is available for the selected view. In my PagerDuty integration, I found that adding user to the groupBy list resolves ambiguity when calculating per-agent utilization over time buckets.
GetAnalyticsConversationsDetailsQueryRequest body = new GetAnalyticsConversationsDetailsQueryRequest();
body.setInterval("PT30M"); // ISO 8601 Duration format
body.setGroupBy("time");
body.setMetrics(List.of("tHandle", "tAcw", "tHold"));
The interval parameter must use ISO 8601 duration syntax, not just a simple string like “30m”. This is a common trap when switching from the UI to the SDK.
Set the Interval Correctly: Use PT30M for thirty-minute blocks. The API rejects non-standard duration strings immediately.
Align GroupBy: Ensure groupBy is set to "time" when querying time-based aggregates. Mismatched groupBy values cause 400 errors.
Verify Metric Availability: Not all metrics support every interval granularity. Check the metric definitions in your org to ensure tHandle and tAcw are valid for your specific view.
I have seen similar issues where developers mix up groupBy values with custom dimensions. Stick to the core time aggregation first. If you still face issues, validate the OAuth scopes include analytics:view. This usually resolves the syntax conflict.