Runway API
by Runway
API for Runway's video and image generation models, with endpoints for tasks, organization usage and credits.
- Category
- Cloud & Data Platforms
- Type
- Generative media AI
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token
- Docs
- Runway API docs
02Data
What you can sync.
- Tasks
- Organization usage
- Credits
Load Runway API tasks into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Runway API data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
Runway API uses an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in Runway if you need help.
04How it works
How it works in DataMind.
-
Pick Runway API.
Open Lake, pick Runway API in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Runway API docs.
-
Answer a few questions.
The AI reads the Runway API documentation, then asks which credentials you will use, which data to sync (for example tasks and organization usage), 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 Runway API data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
