Real-time oil price crisis detection with Qwq-32b AI and multi-channel alerts
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.
Nodes used (11)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Merge
n8n-nodes-base.merge - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - Switch
n8n-nodes-base.switch - Gmail
n8n-nodes-base.gmail - Slack
n8n-nodes-base.slack - Postgres
n8n-nodes-base.postgres - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter
What it does
How It Works Scheduled runs collect data from oil markets, global shipping movements, news sources, and official reports. The system performs statistical checks to detect anomalies and volatility shifts. An AI-driven geopolitical model evaluates emerging risks and assigns a crisis score. Based on severity thresholds, results are routed to the appropriate alert channels for rapid response. Setup Steps 1. Data Sources: Connect the oil price API, OPEC report feeds, shipping databases, and news sources. 2. AI Model: Configure the OpenRouter ChatGPT model for geopolitical and risk analysis. 3. Alerts: Define severity rules and route alerts to Email, Slack, or Dashboard APIs. 4. Storage: Configure a database for historical records, audit logging, and trend tracking. Prerequisites Oil market API credentials; news feed access; OPEC data source; OpenRouter API key; Slack/email/dashboard integrations Use Cases Supply chain risk monitoring; energy market crisis detection; geopolitical threat assessment; trader decision support; operational risk management Customization Adjust risk thresholds; add market data sources; modify alert routing rules Benefits Reduces crisis detection lag 90%; consolidates fragmented data; enables proactive response