Anyone free to help troubleshoot this validation error during our Zendesk-to-Genesys Cloud migration. We are attempting to map custom Zendesk ticket fields to Genesys Interaction attributes using the /api/v2/interactions endpoint. The payload includes type: "voice" and nested attributes for the custom fields. However, the API consistently returns a 400 Bad Request with the message "invalid attribute mapping". In Zendesk, these fields were simple key-value pairs in the custom_fields array. Genesys seems stricter about schema validation. We have verified the field IDs and data types. The error persists even when using the Genesys Cloud Python SDK version 2.0.1. The request body looks standard, but the gateway rejects it immediately. This blocks our automated ticket-to-interaction sync workflow. The logs show no further details on the specific invalid field. We are in the Europe/Paris region. Has anyone successfully mapped complex Zendesk custom fields to Genesys Interaction attributes without hitting this validation wall?
You need to verify the attribute schema in your Admin console.
The Interaction API rejects unmapped custom fields.
Check the metadata definitions before retrying the POST request.
Oh, this is a known issue…
Need some help troubleshooting a validation error during our Zendesk-to-Genesys Cloud migration. We are attempting to map custom Zendesk ticket fields to Genesys Interaction attributes using the
/api/v2/interactionsendpoint. The payload includestype: "voice"and nestedattributesfor the custom fields. However, the API consistently returns a400 Bad Requestwith the message"invalid attribute mapping".
The validation error typically stems from a mismatch between the data types defined in the Zendesk source and the attribute schema registered in Genesys Cloud Admin. The Interaction API enforces strict schema compliance; it will reject any payload where an attribute key exists but its value type does not match the predefined definition (e.g., sending a string where an integer is expected, or vice versa).
Ensure that the custom fields in Zendesk are mapped to attributes that have been explicitly created in Admin > Integrations > Attributes. If these attributes do not exist in the Genesys schema, the system cannot validate the incoming payload, resulting in the 400 error.
Additionally, verify the structure of the attributes object in the POST request. The keys must exactly match the internal attribute identifiers, not the display names. A common configuration error involves using the Zendesk field label instead of the Genesys attribute ID.
Consider implementing a pre-validation step in your middleware to sanitize the payload before submission. This ensures that all custom fields are cast to the correct data types and that null values are handled appropriately, as the Interaction API often rejects undefined or null entries for required attributes.
Reviewing the attribute definitions in the Admin console should resolve the schema mismatch. If the error persists, examine the raw request body to ensure no extraneous characters or formatting issues are present in the JSON payload.
According to the docs, they say that custom attributes must be explicitly defined in the Interaction metadata before they can be accepted by the API, which explains the 400 error you are seeing. Since this involves mapping Zendesk fields, ensure that the attribute keys in your payload exactly match the IDs defined in your Genesys Cloud Admin console under Interactions > Metadata. A common mistake is using the Zendesk field name instead of the Genesys attribute ID. For example, if your Zendesk field is “customer_priority”, your Genesys attribute ID might be “cust_priority_v2”. The payload structure should look like this:
{
"type": "voice",
"attributes": {
"cust_priority_v2": "high",
"zendesk_ticket_id": "12345"
}
}
If the attribute is not yet created, you will need to add it via the API or the Admin UI before attempting the POST request. Also, verify that the data types match; sending a string when the attribute expects an integer will also trigger a validation failure. This setup is crucial for maintaining schedule adherence reports if these attributes drive routing rules. We usually see this issue when teams migrate without pre-creating the metadata schema. Double-check the attribute definitions and try again with the exact IDs. This approach ensures clean data flow and prevents downstream reporting errors in your WFM dashboards.
Yep, this is a known issue… when mapping external CRM fields into Genesys Cloud interactions, the validation engine is extremely strict about data types and schema definitions. While the previous suggestion to verify the Admin console metadata is correct, there is a deeper configuration layer often overlooked in ServiceNow and Zendesk integrations.
The /api/v2/interactions endpoint does not accept arbitrary JSON blobs in the attributes field. Each key must correspond to a pre-defined interaction attribute with a matching data type. If your Zendesk field is a string but the Genesys attribute is defined as integer or boolean, the API will reject the entire payload with a 400 error.
Furthermore, ensure that the attribute is explicitly marked as “Editable” in the Genesys Admin under Interactions > Metadata. Read-only attributes cannot be populated via the API during interaction creation.
Here is a compliant payload structure for a voice interaction with custom attributes:
{
"type": "voice",
"state": "active",
"attributes": {
"custom.zendesk.ticket.priority": "high",
"custom.zendesk.customer.id": "12345"
}
}
Notice the custom. prefix. In many ServiceNow Data Action configurations, this prefix is omitted, causing the system to look for a standard system attribute which does not exist. If you are using a Genesys Cloud Webhook to push data to a ServiceNow Incident, ensure the webhook payload transforms the Zendesk field names to match the exact Genesys attribute IDs, including any required prefixes.
Also, check the character limits. Genesys interaction attributes have a maximum length (often 255 characters). If a Zendesk comment or description exceeds this, the API call fails silently or with a generic validation error. Truncate or hash long strings before sending them to the Interaction API to avoid duplication or truncation issues downstream in ServiceNow.