Monetize your private LLM models with x402 & Ollama

by 1Shot API ✓ · 831 views · created 2025-07-28 · Engineering, AI Chatbot

What this workflow does

This AI workflow has 12 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Ollama Model and 1shot (community).

How it runs

Trigger: When an HTTP POST request hits its webhook URL.

1. Check for presence of X-HEADER (If): checks a condition and branches into true / false
2. Decode & Validate X-Payment (Code): runs custom JavaScript code
3. Response: Missing or Invalid Payment Headers (Respond to Webhook): sends the response back to the webhook caller
4. Ensure Well Formatted Payment Payload (If): checks a condition and branches into true / false
5. Simulate Payment (One Shot): simulate
6. On Successful Payment Simulation (If): checks a condition and branches into true / false
7. 1Shot API Submit & Wait (One Shot Synch): uses One Shot Synch
8. Response: Payment Invalid (Respond to Webhook): sends the response back to the webhook caller
9. Private Model Inference (Basic LLM Chain): sends a prompt to an LLM, with model: Ollama Engine
10. Response: 200 - Payment Successful (Respond to Webhook): sends the response back to the webhook caller

Services it uses

Ollama Model1shot (community)

Before you upgrade to n8n 3.0

Nodes used (8)

• Webhookn8n-nodes-base.webhook
• Ifn8n-nodes-base.if
• Coden8n-nodes-base.code
• One Shotn8n-nodes-1shot.oneShot
• One Shot Synchn8n-nodes-1shot.oneShotSynch
• Respond to Webhookn8n-nodes-base.respondToWebhook
• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
• Ollama Model@n8n/n8n-nodes-langchain.lmOllama

From the author

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Monetize Your Private LLM Models with x402 and Ollama Self-hosting custom LLMs is becoming more popular and easier with turn-key inferencing tools like…

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