Outbound Prospect API Rate Limiting with Custom Disposition Updates

We are running a Predictive Dialer campaign on AWS US-East-1 using Genesys Cloud version 23.5.0. The issue occurs when the call volume exceeds 50 concurrent calls per hour. The Data Action used to update prospect disposition via POST /api/v2/outbound/prospect/{id}/disposition returns HTTP 429 Too Many Requests. This causes a backlog in the queue where prospects remain in Pending status for over 10 minutes. We have already implemented exponential backoff logic within the AppFoundry connector. The specific error response includes Rate limit exceeded in the body.

Example payload triggering the block:

{
  "disposition": {
    "id": "string",
    "name": "Completed Successfully",
    "reasonCode": "COMPLETED_SUCCESS"
  }
}

Has anyone configured similar rate limiting policies on the Outbound API consumer? The AppFoundry integration uses OAuth2 client credentials flow for all requests. We need to maintain high throughput without hitting these throttling limits during peak marketing hours.

Can you check if the Flow is also trying to update the status at the same time? Sometimes the Flow block Set Variable sends an update immediately after the call ends. If both systems write simultaneously, it causes conflict. The recommendation is using a Flow Action only for initial capture and letting the API handle the final disposition.

This reduces load on the endpoint.

The Analytics side also needs attention here. If the disposition is not updating fast enough, the Topic Detection engine will fail to classify the conversation correctly. We are seeing low precision in the Customer Support topic because the label arrives late.

You need to calibrate the keyword spotting rules for Disposal or Disposition. Ensure the transcription buffer matches the API latency window.

This is a known constraint with Predictive Routing beta. The AI model calculates capacity based on real-time agent status, not just active calls. When the API gets throttled, the WFM engine still thinks agents are available and pushes more work.

We ran an A/B test where we disabled outbound updates for 1 hour and saw drop in abandonment rates. Try adjusting the Max Concurrent Calls limit in the campaign settings instead of relying on flow logic.