Recording API Bulk Export Job Fails with 400 Bad Request on Date Range

I’m trying to figure out why the Recording API bulk export job is failing with a 400 Bad Request error when specifying a date range that spans across midnight in UTC. The system is configured to handle legal discovery requests for digital channels, and the chain of custody requirements dictate that we must export recordings based on the exact interaction start time in the customer’s local timezone, not the server time. When the interaction starts at 23:55 GMT and ends at 00:05 GMT the next day, the metadata seems to split the recording, causing the bulk export job to reject the range.

The specific endpoint being called is POST /api/v2/recordings/jobs. The payload includes the interactionType set to voice and dateRange with from and to timestamps. The error response body contains a code of bad.request and a message stating “Invalid date range specified for the requested interaction type.” This happens consistently for interactions crossing the day boundary in UTC, even though the documentation suggests the API should handle overlapping time windows.

• Attempted to adjust the dateRange parameters to include a one-minute buffer on both ends, but this results in duplicate metadata entries in the S3 bucket, which complicates the audit trail verification process.
• Reviewed the S3 integration logs and confirmed that the bucket policy allows writes from the Genesys Cloud service account, so the issue is not a permission error but rather a validation failure within the Recording API itself.

The environment is Genesys Cloud version 2024.1, and the export job is triggered via a custom AppFoundry integration that runs every hour to capture pending discovery requests. The timezone setting in the org is Europe/London, but the API expects UTC inputs. Is there a known limitation with how the Recording API parses date ranges for interactions that span multiple calendar days in UTC? The legal team needs a reliable method to ensure no recordings are missed during these boundary cases, as any gap could invalidate the evidence. Any insights on workarounds or if this is a documented bug in the current version would be appreciated.

According to the docs, they say the date range must be strictly less than 24 hours. try splitting the query into two separate jobs to avoid the 400 error.

Check your bulk export payload structure, specifically how the start_date and end_date fields are formatted. While splitting the query is a valid workaround, it often creates fragmentation issues during migration from Zendesk, where ticket timestamps were handled more loosely. In Genesys Cloud, the API expects ISO 8601 format with explicit timezone offsets. If your local timezone logic calculates a range that technically exceeds 24 hours due to daylight saving transitions or rounding, the server rejects it.

Consider using the Recording API v2 with explicit timezone conversion on the client side before sending the request. This mirrors how we handle digital channel migration, ensuring the date range sent to the API is strictly within the 24-hour limit while preserving the original interaction context. A simple script to adjust the timestamps to UTC before submission usually resolves the 400 error without breaking the chain of custody requirements. This approach keeps the data integrity intact, similar to how we map Zendesk ticket fields to Genesys interactions.