Description

n8n-nodes-runcrate

This is an n8n community node for Installation · Operations · Credentials · Compatibility · Usage · Resources

Installation

Follow the installation guide in the n8n community nodes documentation. In n8n: Settings > Community Nodes > Install, then enter n8n-nodes-runcrate.

Operations

| Resource | Operations |
| — | — |
| Chat | Complete: send a prompt (and an optional system message) to any chat model, with a model dropdown loaded live from the API |
| Model | Get Many: every inference model with its prices and modalities |
| GPU Type | Get Many: launchable GPU configurations with region and hourly price, filterable by GPU type, count and region |
| Job | Create (run a shell command on a fresh GPU machine that stops billing when the command ends), Get, Get Many, Get Logs, Cancel |
| Instance | Create (launch a GPU machine with SSH), Get, Get Many, Get Status, Delete |
| Account | Get Balance |

Jobs always carry a max runtime, and instances can be given one too, so an automation never leaves a GPU running.

Credentials

1. Create an API key in the Runcrate dashboard. Keys start with rclive.
2. In n8n, add a Runcrate API credential and paste the key. The credential test reads your balance.

Runcrate is pay as you go from a prepaid balance: inference is billed per token, image, second or minute depending on the model, and GPUs are priced per GPU-hour, billed by the second on most GPUs and by the minute on a few.

Compatibility

Built with @n8n/node-cli 0.53 and tested on n8n 2.44.

Usage

• Chat model in a workflow: Runcrate > Chat > Complete, pick a model such as deepseek-ai/DeepSeek-V3.2, map the prompt from an earlier node. Turn off Simplify Output for the full OpenAI-style response.
• GPU job from a schedule or webhook: Runcrate > Job > Create with a command like python train.py, a GPU type such as A4000, RTX4090 or H100, and a max runtime. Poll Job > Get until the status is succeeded, then read Job > Get Logs.
• AI Agent tool: the node is usable as a tool, so an n8n AI Agent can check GPU prices or start a job itself.
• OpenAI-compatible: n8n’s own OpenAI Chat Model node also works with Runcrate: set the base URL to https://api.runcrate.ai/v1.

Resources

• source=n8n&utmmedium=directory&utm_campaign=distribution”>API reference and OpenAPI spec
• n8n community nodes documentation
• Support: [email protected]

Version history

• 0.1.2: Published from GitHub Actions with an npm provenance statement; README and keywords describe Runcrate as an AI cloud.
• 0.1.1: Corrected the Runcrate description in the README, package description and Chat operation.
• 0.1.0: Chat, Model, GPU Type, Job, Instance and Account resources.