Cloud
AI authoring
Let hypequery cloud's AI learn your business and draft your datasets.
hypequery cloud is not live yet
You can't sign up for or deploy to cloud today. These pages describe the planned service, and details will change before launch. What runs today is the open-source TypeScript and Python SDKs, in your own backend.
AI authoring is the fastest way into cloud. It onboards you, learns how your business works, and creates your datasets for you.
- Connect ClickHouse with a read-only user.
- Tell it about your business. The AI reads your schema and asks what matters, such as how you count revenue, who your customers are, and how data is split by tenant.
- Review the draft. It proposes datasets with dimensions, measures, relationships, and tenant keys. Accept, edit, or reject each one.
- Go live. Accepted datasets are served as REST and MCP endpoints.
AI-authored datasets are the same as code-authored ones: they produce the same deployment contract, follow the same access and tenant rules, and are served the same way.
If you prefer to manage datasets in code, define them in TypeScript or Python and deploy from TypeScript or from Python instead.