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In a Genesys Cloud environment with tens of thousands of agents per organization, we would like to confirm whether there are any operational examples of regularly exporting agent-related reports (e.g., Agent Performance / Status) using POST /api/v2/analytics/reporting/exports, and whether this is an expected/assumed usage pattern for the system.

If possible, could you share any operational experience or recommendations within the scope you are able to disclose? In particular, we would appreciate your insights on the following points:

・Best practices for large-scale environments
(Additional note: if possible, it would be helpful if your answer could include assumptions such as the report type, export frequency, target time range, and an approximate scale of agents/row counts.)

・Whether there are any recommendations or criteria for choosing among Analytics APIs / Jobs / Notifications / EventBridge, etc.

Hi Takayuki,

Interesting question.

My understanding is that the reporting export APIs are commonly used for scheduled/batch-style reporting workloads, especially where organisations need periodic snapshots or operational reporting outside the standard UI.

For very large-scale environments though, I would generally expect teams to consider:
- export frequency
- report size/row counts
- API concurrency/rate limits
- and whether near real-time data is actually required.

My understanding is usually:
- Reporting Exports → more suited for scheduled/ad-hoc report generation
- Analytics Async Jobs APIs → better suited for large-scale historical/bulk extraction workloads
- Notifications/EventBridge → more suitable for near real-time or event-driven processing.

I would also expect large environments to segment/batch requests carefully rather than attempting very large organisation-wide exports in a single request.

This is also a good older discussion to review regarding export limitations/behaviour:
Community discussion – export limitations

I'm sure others with larger-scale implementations may also be able to share additional operational experiences/recommendations.

Hi,

You may find this documentation useful:

Conversation Detail job

User Detail job

Exporting Analytics Data

We are doing large exports each day using the jobs API. One thing that you must absolutely take note of is the dataAvailabilityDate referenced in that documentation. The data warehouse for the jobs endpoint is not updated in real time and depending on when you schedule your exports, it may be out of date. You then either need to account for this and capture it again at another time or use the "realtime" endpoint - but that has its own limitations too.