Automate Stripe Anomaly Detection with Groq & Supabase

Automate Stripe Anomaly Detection with Groq & Supabase

Transform your Stripe transaction oversight by leveraging an intelligent, automated anomaly detection system. This n8n workflow seamlessly reads and processes your Stripe logs, identifies potential anomalies with precision via Groq, and ensures swift alerts and actionable insights are generated in real-time.

What This Workflow Does

• Runs Hourly: This workflow is designed to run on an hourly schedule, consistently monitoring your transaction data.
• Data Extraction and Normalization: It ingests raw Stripe-like transaction data from Google Sheets, converts important metrics—such as cents to USD—and parses risk scores for a streamlined dataset.
• Data Insertion into Supabase: The normalized data is then inserted into a Supabase table, ready for further analysis.
• Anomaly Detection: By utilizing Groq’s chat completions API, this workflow prompts anomaly detection, parsing results into structured, actionable insights.
• Incident Reporting and Alert: Upon detecting anomalies, it records incident details in a Supabase incident_logs table and promptly sends alert messages to a specified Slack channel.
• Error Logging: If any step encounters errors, such as with Supabase, Groq, or Slack, details are logged back into the error_logs sheet in Google Sheets for review.

Use Cases

• Financial Monitoring: Ideal for finance teams looking to automate oversight of Stripe transactions and quickly react to irregularities.
• Fraud Detection: Businesses can use this workflow to enhance their fraud detection capabilities by alerting teams as anomalies are identified.
• Operational Efficiency: By automating anomaly detection and incident logging, companies can save significant time and resources traditionally spent on manual transaction verification.

Technical Details

• Google Sheets: For storing the raw transaction data and logging errors.
• Supabase: Serves as the database for analytics and incident logs.
• Groq: Leverages OpenAI-compatible chat completions for anomaly detection.
• Slack: Integrates to send immediate alerts to designated channels.
• n8n Nodes Used: Includes nodes like if, code, slack, supabase, http request, and google sheets.