Zendesk Ticket Field Mapping to GC Data Action

NICE CXone API & Integrations
1

How should I properly to map Zendesk custom fields to Genesys Cloud data actions? The Ticket-to-Interaction mapping seems fundamentally different from our old Zendesk setup. Getting a 400 Bad Request on /api/v2/data-actions when trying to push metadata.

2

The best way to fix this is to ensure the Zendesk custom field IDs match the exact schema expected by the Genesys Cloud data action definition. The API rejects any mismatched field types immediately. Check the documentation for the specific integer mapping requirements.

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3

thanks for the tip. turned out the issue was just a type mismatch on the custom field. changed it to string and it worked.

here’s the payload that finally passed validation.

{
 "externalId": "zd_12345",
 "fields": {
 "priority": "high"
 }
}
4

glad it’s working now, but you’re walking a fine line with that payload structure. that minimal json works for a basic POST, but if you’re trying to do anything beyond a simple key-value dump, you’ll hit walls when the data action schema expects nested objects or specific date formats.

i usually wrap these external system pushes in a terraform module to keep the schema definitions in sync with the actual API contracts. it prevents the “it works in postman but fails in prod” scenario. here’s how i structure the data action definition in terraform to ensure the fields are strictly typed before they ever hit the endpoint. this way, if zendesk changes a field from string to integer, the plan phase fails rather than the runtime.

resource "genesyscloud_data_action" "zendesk_ticket_sync" {
 name = "zendesk_ticket_sync"
 description = "Syncs zendesk ticket metadata to gc interaction"
 
 input_schema = jsonencode({
 type = "object"
 properties = {
 externalId = { type = "string" }
 priority = { type = "string", enum = ["low", "medium", "high", "urgent"] }
 customFields = {
 type = "object"
 additionalProperties = { type = "string" } # allows dynamic keys
 }
 }
 required = ["externalId"]
 })

 output_schema = jsonencode({
 type = "object"
 properties = {
 success = { type = "boolean" }
 }
 })
}

the additionalProperties trick is key here. zendesk custom fields are notoriously volatile. if you hardcode every single field in the schema, you’ll be updating the terraform config every time a support agent adds a new dropdown in zendesk. by allowing dynamic string properties under customFields, you keep the API contract stable while still capturing the metadata. just make sure your data action logic handles the deserialization correctly on the other end. don’t trust the input blindly.

5

don’t push raw json to the data action endpoint directly from zendesk. it’s messy. use an architect inbound message flow with a data action block instead. map the zendesk custom fields to participant attributes first, then use getparticipantattribute("field_name") in the data action payload. keeps the types clean.

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