This article provides a complete, practical walkthrough of the Http Schedule Send Scheduled 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 PRISM Elastic Alerts with n8n: Real-Time Email Notifications via Microsoft Graph
   
   Meta Description:
   Discover how to automate real-time alert notifications from PRISM's Elastic API using n8n. This article explains the workflow to fetch, evaluate, and email alerts using Microsoft Graph seamlessly.
   
   Keywords:
   n8n, automation, PRISM Elastic, Elastic Search alerts, Microsoft Graph API, send email notifications, alert monitoring, workflow automation, cyber security alerts, DevOps automation, API integration
   
   Third-Party APIs Used:
   1. PRISM Elastic API (for fetching alerts)
   2. Microsoft Graph API (for sending email notifications)
   
   Article:
   
   In today's fast-paced digital environment, timely alerting and incident notification systems are essential to maintaining robust system health and cybersecurity. One effective way to streamline these alert mechanisms is using n8n—a powerful, open-source workflow automation tool that can integrate with various APIs quickly and effectively.
   
   In this article, we’ll walk you through a real-world n8n workflow that retrieves alerts from PRISM’s Elastic Search-based monitoring system and automatically dispatches them via email using the Microsoft Graph API. This setup ensures that critical alerts never go unnoticed, reducing response time and ensuring system reliability.
   
   Overview of the Workflow
   
   The core of this workflow consists of the following nodes:
   
   1. Schedule Trigger
   2. HTTP Request to PRISM Elastic API
   3. Conditional Check for New Alerts
   4. Batch Loop for Alert Processing
   5. Microsoft Graph API Integration to Send Email
   
   Let’s break down what each of these components does and how they work together.
   
   1. Schedule Trigger – Initiating Alert Checks
   
   The workflow begins with a Schedule Trigger node. This node is configured to run at specific intervals—such as every 5 minutes or once an hour—depending on how frequently you want to poll the PRISM Elastic API for new alerts.
   
   2. Get Elastic Alert – Pulling Data from PRISM
   
   Once triggered, the workflow uses an HTTP Request node labeled “Get Elastic Alert” to call the PRISM Elastic API endpoint:
   
   https://your-prism-elastic-api-endpoint.com/alerts
   
   This request fetches any new or active alert data, such as alert name, severity, timestamp, and message details. Since it interfaces directly with PRISM’s Elastic backend, this node provides the necessary data to act on.
   
   3. Response is Not Empty – Ensuring the Workflow Proceeds Only for Actual Alerts
   
   The fetched data then passes through a conditional “If” node called “Response is Not Empty.” This node checks whether the response returned any alerts. If there are no alerts, the workflow takes the “false” route and gracefully ends by directing control toward a “No Operation” node that does nothing—simply a clean exit.
   
   If the API response does contain alerts, the workflow follows the “true” path, moving towards processing each alert item individually.
   
   4. Loop Over Each Alert – Processing Alerts One by One
   
   To handle multiple alerts efficiently, the workflow uses a “Split In Batches” node named “Loop Over Each Alert Items.” This loop iterates over each alert item from the API response batch, enabling the system to address them individually rather than trying to send a bulk message.
   
   5. Send Email Notification – Using Microsoft Graph API
   
   For each alert, the workflow invokes another HTTP request node—“Send Email Notification.” This node integrates with Microsoft Graph API’s /sendMail endpoint to dispatch an HTML-formatted email containing details specific to that alert item.
   
   Here’s a breakdown of the email’s content:
   
   - Subject: PRISM Elastic Alert: <alert_name>
   - Body:
     - Alert Name
     - Severity
     - Timestamp
     - Alert Message
   
   The email is sent to predefined recipients (e.g., user@example.com), ensuring that relevant stakeholders are immediately notified.
   
   Sending email through the Microsoft Graph API requires OAuth2 authentication. Once configured, it allows for safe and scalable email delivery from a trusted Microsoft 365 environment.
   
   6. No Operation – Closing the Loop
   
   Once all alert items are processed and notifications sent, control proceeds to a “No Operation” node labeled “No Operation, end of loop.” This acts as a logical endpoint for the workflow, signifying that all tasks have completed successfully.
   
   Why Use This Workflow?
   
   This n8n-based workflow offers multiple advantages:
   
   - Real-time Alerting: Instant responses to critical issues via email.
   - Scalable Design: Easily extendable for Slack, Teams, or incident management platforms like PagerDuty.
   - Modular Components: Each step can be customized or enriched further with filters, logging, or retries.
   - Secure Integration: OAuth2 ensures that Microsoft Graph API usage is authorized and compliant.
   
   Use Case Scenarios
   
   - Cybersecurity Monitoring: Get notified of intrusion or anomaly alerts immediately.
   - Infrastructure Health: Know when disk usage, CPU spikes, or server downtime occurs.
   - Application Logs: Trigger alerts based on application-level errors or unusual patterns.
   
   Conclusion
   
   By leveraging n8n with PRISM’s Elastic alerts and Microsoft Graph’s robust email capabilities, this workflow exemplifies the power and flexibility of modern automation tools. Not only does it reduce manual oversight, but it also frees up critical time for your response teams to focus on resolution rather than detection.
   
   As DevOps, SecOps, and IT teams continue to build more responsive systems, implementing workflows like this can be a significant step toward operational excellence.
   
   Ready to automate your alerts? Head over to n8n.io and start building your workflow today.

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.