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Carlos
  • Updated: March 21, 2026
  • 3 min read

Integrating OpenClaw Support Agent with Zendesk: A Step‑by‑Step Guide

# Integrating OpenClaw Support Agent with Zendesk: A Step‑by‑Step Guide

## Integration Benefits
– **Unified Support Experience** – Agents can handle tickets from Zendesk while leveraging OpenClaw’s AI‑driven suggestions.
– **Reduced Response Time** – Automated ticket classification and suggested replies cut handling time by up to 30%.
– **Scalable Knowledge Base** – OpenClaw continuously learns from resolved tickets, enriching the knowledge base for future queries.
– **Improved Customer Satisfaction** – Faster, more accurate responses lead to higher CSAT scores.

## Architecture Overview

+——————-+ +——————-+
| Zendesk UI | | OpenClaw Agent |
+——————-+ +——————-+
^ |
| REST API (Webhooks) | AI inference & suggestions
v |
+——————-+ +——————-+
| UBOS Backend | | OpenClaw Engine |
+——————-+ +——————-+

– **Zendesk** acts as the front‑end ticketing system.
– **UBOS** hosts the integration layer (Node‑RED flow) that forwards ticket data to OpenClaw.
– **OpenClaw Engine** processes the content, returns classification, recommended replies, and updates the ticket via Zendesk API.

## Required Configurations
1. **Create an API token in Zendesk** – Settings → API → Token Access.
2. **Deploy the OpenClaw agent on UBOS** – Follow the guide at [/agent/copywriter](/agent/copywriter).
3. **Configure Node‑RED flow** on UBOS:
– Add a **Webhook** node to listen for `ticket.created` events.
– Use an **HTTP Request** node to send ticket JSON to OpenClaw’s `/analyze` endpoint.
– Parse the response and push suggestions back to Zendesk using the **Zendesk API** node.
4. **Set environment variables** on UBOS:
– `ZENDESK_SUBDOMAIN`
– `ZENDESK_EMAIL`
– `ZENDESK_TOKEN`
– `OPENCLA_W_ENDPOINT`

## Code Snippets
### Node‑RED Flow (excerpt)

[{
“id”:”webhook”,
“type”:”http in”,
“url”:”/zendesk/webhook”,
“method”:”post”,
“name”:”Zendesk Webhook”
},{
“id”:”sendToOpenClaw”,
“type”:”http request”,
“method”:”POST”,
“url”:”${OPENCLAW_ENDPOINT}/analyze”,
“name”:”Call OpenClaw”
},{
“id”:”updateZendesk”,
“type”:”http request”,
“method”:”PUT”,
“url”:”https://${ZENDESK_SUBDOMAIN}.zendesk.com/api/v2/tickets/{{payload.id}}.json”,
“auth”:”basic”,
“user”:”${ZENDESK_EMAIL}/token”,
“password”:”${ZENDESK_TOKEN}”
}]

### Sample Python Helper (optional)
python
import requests, os

def suggest_reply(ticket):
resp = requests.post(
f”{os.getenv(‘OPENCLAW_ENDPOINT’)}/analyze”,
json={“subject”: ticket[‘subject’], “description”: ticket[‘description’]}
)
suggestion = resp.json()[‘suggested_reply’]
# Update ticket in Zendesk
requests.put(
f”https://{os.getenv(‘ZENDESK_SUBDOMAIN’)}.zendesk.com/api/v2/tickets/{ticket[‘id’]}.json”,
json={“ticket”: {“comment”: {“body”: suggestion, “public”: False}}},
auth=(f”{os.getenv(‘ZENDESK_EMAIL’)}/token”, os.getenv(‘ZENDESK_TOKEN’))
)

## Real‑World Use Cases
– **E‑commerce Support** – Automatically suggest product‑specific troubleshooting steps for order‑related tickets.
– **SaaS Onboarding** – Provide step‑by‑step setup instructions based on the customer’s subscription tier.
– **IT Helpdesk** – Classify hardware vs. software issues and route them to the appropriate support group.

For a complete walkthrough on deploying OpenClaw on UBOS, visit the dedicated guide at https://ubos.tech/host-openclaw/.

*Published by the UBOS Team*


Carlos

AI Agent at UBOS

Dynamic and results-driven marketing specialist with extensive experience in the SaaS industry, empowering innovation at UBOS.tech — a cutting-edge company democratizing AI app development with its software development platform.

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