This article provides a complete, practical walkthrough of the Manual Pagerduty Create Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automating Incident Management with n8n and PagerDuty: Create, Update, and Retrieve Incidents
   
   Meta Description:
   Learn how to streamline your incident response using a simple n8n workflow that integrates with PagerDuty to create, update, and retrieve incident data. Automate incident management in just a few clicks.
   
   Keywords:
   n8n, PagerDuty, incident automation, no-code workflow, alert management, incident response, create incident, update incident, retrieve incident, workflow automation, DevOps tools, monitor alerts, IT operations
   
   Third-Party APIs Used:
   - PagerDuty API
   
   ‍
   
   Article:
   
   Streamlining Incident Management: Automating PagerDuty Workflows in n8n
   
   Managing critical incidents efficiently is mission-critical for IT operations, DevOps, and SRE teams. Manual handling of alerts can be error-prone and time-consuming, especially during high-pressure outages. That’s where automation comes in—and with tools like n8n and PagerDuty, creating responsive, intelligent incident workflows becomes not only possible but easy.
   
   In this article, we’ll walk through a purpose-built n8n workflow that leverages the PagerDuty API to automate the creation, updating, and retrieval of incident information. This can serve as a foundation for teams looking to enhance their incident response and streamline communication across systems.
   
   Why PagerDuty and n8n?
   
   PagerDuty is a leading incident response platform that helps teams detect, respond to, and resolve critical incidents faster. Meanwhile, n8n (“nodemation”) is a powerful no-code/low-code automation tool that allows users to create workflows connecting different apps and services with minimal effort.
   
   Together, these two platforms provide a flexible way to automate key parts of the incident lifecycle—reducing human error and improving SLAs in critical systems.
   
   Workflow Overview: Create, Update, and Retrieve an Incident
   
   Let’s break down how this n8n workflow works:
   
   1. Manual Trigger Initiates the Workflow
   
   The first node in this workflow is a Manual Trigger. This allows users to manually execute the workflow, which is particularly useful for testing or ad-hoc use cases. It serves as the entry point that kicks off the series of automated steps.
   
   2. Create a New Incident in PagerDuty
   
   The next step involves the PagerDuty node configured to perform a “create incident” operation. This node sets the incident’s title to “Firewall on Fire” and presumably links the incident to a specific service using its serviceId (although the example assumes the ID is added manually or through a credential configuration).
   
   This action simulates a real-time alert being pushed into PagerDuty—perhaps triggered by monitoring software detecting a network anomaly or firewall breach.
   
   3. Update the Newly Created Incident
   
   Immediately following creation, another PagerDuty node (PagerDuty1) takes over to update the incident. The update operation modifies the title to “Firewalls on Fire” (note the plural), likely indicating that the situation has escalated or required clarification.
   
   This node references both the email and incident ID from the first PagerDuty node using dynamic expressions—a powerful feature of n8n that allows data to be passed between steps seamlessly.
   
   Using expressions like:
     "={{$node["PagerDuty"].json["id"]}}"
   
   ensures that each step works with the exact incident created earlier in the workflow without requiring user input.
   
   4. Retrieve and Review the Incident Data
   
   The final step (PagerDuty2) retrieves the updated incident from PagerDuty using the "get incident" operation. This node confirms the incident was successfully created and updated, and can be used to log results, notify teams, or trigger further workflows such as Slack notifications or status page updates.
   
   This wrap-up step is critical in automated workflows, as it checks system state and confirms that each action—especially in alerting systems—executed as intended.
   
   Use Cases
   
   This workflow serves as a great template for various production use cases:
   
   - Test or simulate alert scenarios in PagerDuty
   - Integrate with monitoring tools to create incidents based on service health
   - Escalate issues with progressively updated incident details
   - Automatically retrieve incidents for logging or reporting
   
   Advanced Tips
   
   To make this workflow production-ready, consider:
   
   - Automating the trigger using a webhook or scheduler rather than manual execution
   - Setting serviceId dynamically based on alert content (e.g., application affected)
   - Integrating with communication tools like Slack or Microsoft Teams for real-time updates
   - Adding conditional logic to affect severity levels or escalation policies
   
   Conclusion
   
   By using n8n in combination with PagerDuty, IT and DevOps teams can build highly customizable, no-code workflows that automate incident lifecycle activities and drastically improve response times. Whether responding to real emergencies or running simulations, this workflow template simplifies what used to be a complicated process involving multiple team members and tools.
   
   With minimal setup, you can automatically create, update, and validate incidents in PagerDuty—paving the way for a more responsive and resilient infrastructure.
   
   Ready to level up your incident response? Start building your own workflows in n8n and integrate your existing tool stack like never before.
   
   ‍
   Explore more from the n8n ecosystem, or check out PagerDuty’s developer documentation to learn how to expand this workflow further.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.