Predictive Score API 422 on Prod Deployment

Genesys Cloud Routing
1

Pushed the routing integration to the client’s prod org using genesys-cloud-sdk-js@3.50.1. Predictive score endpoint’s throwing 422 Unprocessable Entity with {"code":"invalid_request","message":"Score value must be between 0 and 100"}. Payload sending 45.5 right now. Queue config shows strategy: predictive and score_source: api. Console logs empty. Score not updating in dashboard. Customer waiting on this.

2

The docs say the score needs to be an integer. Sending 45.5 is probably why it’s failing. The API expects 0 to 100 as whole numbers.

From the .NET SDK perspective, we usually cast it explicitly. If you’re using JS, make sure you’re using Math.round() or Math.floor() before sending. The payload key is also case-sensitive. It has to be score not Score.

Here’s what the request body should look like. Note the integer value.

{
 "score": 46
}

Also double-check the OAuth scope. You need routing:predictive:write. If the scope is missing, you might get a 401 instead of a 422, but sometimes the error handling is weird in prod.

Check the queue config again. score_source: api is correct. But if the queue is paused, the score won’t apply.

3

nailed it with the integer requirement, but there’s another layer to this if you’re deploying via Terraform or the SDK in a CI/CD pipeline. The 422 is often a schema validation error that happens before the payload even hits the routing engine, especially if your input binding isn’t explicitly casting the value.

In a DevOps context, you don’t want to rely on the application layer to round the number if you can help it. It’s better to enforce the type at the source. If you’re using the genesys-cloud-sdk-js, make sure the PredictiveScore object is strictly typed. The SDK can sometimes be lenient with floats if the underlying JSON serializer isn’t strict.

Here is how I usually handle this in the deployment script to ensure the payload is always valid before it hits the API. This avoids the 422 entirely by sanitizing the input:

const { platformClient } = require('@genesyscloud/genesyscloud');

async function updatePredictiveScore(queueId, agentId, rawScore) {
 // Enforce integer constraint at the SDK layer
 const sanitizedScore = Math.round(Math.max(0, Math.min(100, rawScore)));
 
 const routing = platformClient.RoutingApi;
 
 try {
 const body = {
 score: sanitizedScore, // Must be integer 0-100
 reason: "Automated CI/CD update"
 };
 
 console.log(`Updating score to ${sanitizedScore} (original: ${rawScore})`);
 await routing.postRoutingQueuesAgentsPredictivescores({
 queueId: queueId,
 agentId: agentId,
 body: body
 });
 
 return { success: true, score: sanitizedScore };
 } catch (error) {
 console.error("Failed to update predictive score:", error.body);
 throw error;
 }
}

Also double-check the OAuth scopes on the service account you’re using for the deployment. It needs routing:predictivescore:write and routing:predictivescore. If the scope is missing, you might get a 403 instead, but if the payload is malformed, the 422 masks the auth issue sometimes. Make sure the scope is correct.