Detect Stripe payment anomalies with Groq, Supabase, Slack, and Google Sheets

by Chijioke Ogbonna ✓ · 36 views · created 2026-07-20 · Engineering, AI Summarization

What this workflow does

This workflow has 11 nodes and runs on a schedule (every hour). Along the way it connects Google Sheets, Supabase and Slack. It also calls api.groq.com over HTTP.

How it runs

Trigger: On a schedule (every hour).

1. Fetch Stripe Payments (Google Sheets): uses Google Sheets
2. Clean & Normalize (Code): runs custom JavaScript code
3. Store Analytics Record (Supabase): uses Supabase
4. Build AI Analysis Prompt (Code): runs custom JavaScript code
5. Log Error to Sheet (Google Sheets): append
6. Detect Anomalies (AI) (HTTP Request): calls api.groq.com (POST)
7. Parse AI Result (Code): runs custom JavaScript code
8. Anomaly Detected? (If): checks a condition and branches into true / false
9. Log Incident (Supabase): uses Supabase
10. Send Slack Alert (Slack): uses Slack

Services it uses

Google SheetsSupabaseSlack

HTTP calls to: api.groq.com

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Nodes used (7)

• Schedule Triggern8n-nodes-base.scheduleTrigger
• Google Sheetsn8n-nodes-base.googleSheets
• Coden8n-nodes-base.code
• Supabasen8n-nodes-base.supabase
• HTTP Requestn8n-nodes-base.httpRequest
• Ifn8n-nodes-base.if
• Slackn8n-nodes-base.slack

From the author

Quick overview This workflow runs hourly to read Stripe transaction logs from Google Sheets, normalize and load them into Supabase, then uses Groq (OpenAI-compatible chat completions) to detect anomalies and, when found, records incidents in Supabase and…

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