Monitor stock watchlist news with Webz.io, GPT-4.1-mini, and Slack
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 11 nodes and runs on a schedule (every 6 hours). Along the way it connects OpenAI Chat Model, MCP Client and Slack.
How it runs
Trigger: On a schedule (every 6 hours).
- Monitor settings (Edit Fields (Set)): sets 4 fields: tickers, lookbackDays, articleCount…
- One item per ticker (Code): runs custom JavaScript code
- Judge if the news is material (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 1 tool (Webz.io news search); output parser: Enforce the alert format
- Drop stories already alerted (Code): runs custom JavaScript code
- Report the failure (Stop and Error): stops the run with an error
- Is there anything new to alert? (If): checks a condition and branches into true / false
- Send the alert to Slack (Slack): uses Slack
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (10)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - MCP Client Tool
@n8n/n8n-nodes-langchain.mcpClientTool - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Stop and Error
n8n-nodes-base.stopAndError - If
n8n-nodes-base.if - Slack
n8n-nodes-base.slack
From the author
Quick overview This workflow runs every 6 hours to scan Webz.io for recent news about a stock ticker watchlist, uses OpenAI GPT-4.1-mini to keep only market-moving stories, deduplicates alerts by URL, and posts a grouped summary to a Slack channel. How it…