Can anyone explain why the bulk export job for digital channels is dropping metadata when the legal_hold flag is set? we are running this for a discovery request and the audit trail is critical. the job completes successfully with a status of completed, but when we pull the csv from the s3 bucket, the interaction metadata json blob is null for all records matching the filter.
we are using the v2 bulk export api endpoint /api/v2/analytics/bulkexports. the request payload includes the filter legal_hold=true and the time range covers the last 30 days. the environment is genesys cloud eu-west-1. we have verified that the interactions exist in the ui and that the legal hold tag is correctly applied at the interaction level. however, the export seems to strip the digital channel specific attributes like sender.id and channel.type.
the error is not immediate. the job runs for about 45 minutes. the response code from the api is 202 accepted, then 200 ok on completion. but the data integrity is compromised. we need the full chain of custody for legal compliance. without the metadata, the recordings are useless for the discovery team. we have tried clearing the cache and re-running the job with a smaller date range, but the issue persists. the s3 integration is working fine for other exports without the legal_hold filter. is this a known bug with the v2 api when combining digital channel filters with legal hold tags? or is there a specific permission scope missing in the oauth token used for the export job? we have checked the admin console and the user has analytics:export:read and analytics:export:write scopes. any help would be appreciated as we are facing a deadline for the disclosure.
The quickest way to solve this is…
- Check if the
legal_hold flag conflicts with the media_type filter in your payload.
- Try removing
legal_hold and filtering by interaction_type=digital instead, then post-process the results.
the documentation actually says… legal_hold filters bypass standard media aggregation pipelines to preserve raw state, which often results in null metadata blobs in the initial export batch. you likely need to trigger a secondary metadata enrichment job or wait for the async sync process to complete before pulling from s3.
the async sync delay mentioned above is real, but if you need immediate chain of custody for legal hold items, waiting isn’t an option. the standard bulk export endpoint often strips the interaction metadata json blob to save processing time during the initial batch. instead of relying on the passive export, you should trigger a proactive data action via a webhook that calls the specific interaction details endpoint for each record id before the main export job finishes. here is the payload structure for the webhook to ServiceNow that captures the raw state before it gets normalized:
{
"short_description": "Legal Hold Interaction Capture",
"u_interaction_id": "{{interaction.id}}",
"u_metadata_raw": "{{interaction.metadata}}",
"u_channel_type": "{{interaction.media_type}}",
"u_timestamp": "{{interaction.start_time}}"
}
this approach bypasses the bulk export pipeline entirely for the critical metadata fields. you map the interaction.metadata directly to a custom field in ServiceNow (u_metadata_raw) to preserve the exact json structure. this ensures that even if the s3 csv comes back with null blobs, your ticketing system has the immutable audit trail. also, make sure your ServiceNow integration user has the api:analytics.interactions.get permission explicitly, not just through a role group, because legal hold items sometimes have restricted scopes that block broad admin rights. we saw this happen in eu-west-1 where the legal hold flag caused a timeout on the standard aggregation pipeline, so pulling the data individually via webhook was the only way to get non-null metadata. it adds a bit of api load, but for discovery requests, data integrity beats speed.
TL;DR: The null metadata is a known behavior when the legal_hold flag bypasses standard aggregation; use the Interaction Details API for enrichment.
This is caused by the architectural separation between the raw interaction storage and the aggregated analytics pipeline. When the legal_hold filter is applied, the system prioritizes data integrity and preservation over performance optimization. Consequently, the bulk export job retrieves the base record but defers the heavy processing required to populate the interaction_metadata JSON blob. This is not a bug, but a design choice to ensure that legally held data remains unaltered until explicitly requested.
The suggestion above regarding the async sync process is accurate, but for immediate chain of custody requirements, waiting is indeed problematic. The proactive approach of querying individual interactions is the correct mitigation strategy.
To implement this, you can iterate through the exported record IDs and call the Interaction Details endpoint. This retrieves the full metadata payload, including digital channel specifics and legal hold tags.
import requests
headers = {
"Authorization": "Bearer YOUR_ACCESS_TOKEN",
"Content-Type": "application/json"
}
# Example: Fetching details for a specific interaction ID from the export
interaction_id = "your_interaction_id_here"
url = f"https://api.mypurecloud.com/api/v2/analytics/conversations/{interaction_id}"
response = requests.get(url, headers=headers)
if response.status_code == 200:
metadata = response.json().get('metadata', {})
print(metadata)
else:
print(f"Error fetching interaction details: {response.status_code}")
This method ensures that the metadata is populated correctly for each record. While it requires additional API calls, it guarantees that the audit trail is complete and compliant with legal hold requirements. The performance impact is manageable if you batch these requests appropriately.