Runpod
GPU cloud for pods and serverless AI endpoints, with a REST API for pods, endpoints, templates and billing.
- Category
- Cloud & Data Platforms
- Type
- AI infrastructure
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key
- Docs
- Runpod API docs
02Data
What you can sync.
- Pods
- Serverless endpoints
- Templates
- Billing
- Network volumes
Put Runpod pods next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Runpod data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
Runpod uses an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Runpod if you need help.
04How it works
How it works in DataMind.
-
Pick Runpod.
Open Lake, pick Runpod in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Runpod API docs.
-
Answer a few questions.
The AI reads the Runpod documentation, then asks which credentials you will use, which data to sync (for example pods and serverless endpoints), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Runpod data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
