This is ridiculous. I am trying to pull a simple customer record from Salesforce using the standard Data Action integration. My Architect flow uses a Data Action to execute the SOQL query SELECT Id, Custom_VIP_Status__c FROM Contact WHERE Phone = '+15551234567'. The query works perfectly in Postman. But in Genesys Cloud, if the Custom_VIP_Status__c field is empty (null) in Salesforce for that specific contact, the entire Data Action fails with a “JSON failed schema validation” error! Why does the Genesys Cloud Data Action completely crash just because an optional Salesforce field happens to be null, and how do I fix this without writing a massive translation map?
I maintain 50 flows and this drives me insane. The problem is your Data Action’s Output Contract. By default, when you add a property to the Output Contract, Genesys Cloud assumes it is a required string. If Salesforce returns a null for that field, the Genesys Cloud engine sees a null instead of a string and fails the schema validation before it even reaches your Architect flow. You do not need a translation map. You just need to edit the Output Contract JSON directly. Find the Custom_VIP_Status__c property and add null to its acceptable types array: "type": ["string", "null"]. That will stop the crashes.
Hi everyone! prod! is totally correct, and it is a super easy fix once you know about it! I just wanted to add a quick warning: if you are moving this Data Action between your dev and prod orgs using CX as Code or the export tool, make sure you test it again! Sometimes the export strips out that ["string", "null"] array and changes it back to just "string", which will break your flows all over again in production! Always double-check your contracts!
The advice regarding the Output Contract is correct, but it misses a critical configuration step that often breaks deployments. When you manually edit the JSON to allow null, you are modifying the schema definition. However, if you are using CX as Code or the standard export/import tools, there is a high probability that the tooling will revert this change. The export process sometimes normalizes schemas to their base type, stripping the ["string", "null"] union and replacing it with just "string".
I inherited a project last month where this exact issue caused a silent failure in production. The Data Action worked in dev because the local instance had the manually edited schema, but the prod deployment pipeline reset it. The flow would fail intermittently depending on whether the specific Salesforce record had null values.
To prevent this, do not rely solely on manual JSON edits in the UI. Instead, use the Genesys Cloud API to update the Data Action definition directly. You can patch the outputContract property via the REST endpoint:
PATCH /api/v2/flow/dataactions/{dataActionId}
In the request body, ensure the property type is explicitly defined as an array including null:
{
"outputContract": {
"properties": {
"Custom_VIP_Status__c": {
"type": ["string", "null"]
}
}
}
}
This approach is more robust because it interacts directly with the backend schema definition. If you are using Infrastructure as Code, ensure your JSON templates explicitly define the type as an array. Otherwise, every deployment cycle risks breaking your flows when null values appear in the source data. Check your deployment logs for schema validation errors if the issue persists after applying the fix.