APIs constrain the agent
Endpoints force agents into the narrow workflows you guessed ahead of time. Real questions rarely fit the shape of an API you designed last quarter.
Your customers' agents are caged by your API. Letting them run arbitrary SQL on shared data is a liability. UnleashDB ends the tradeoff. By design.
Early access, architecture notes, and private beta invites.
The moment a customer's AI agent wants to ask a question you didn't anticipate, the cracks show. There are three of them.
Endpoints force agents into the narrow workflows you guessed ahead of time. Real questions rarely fit the shape of an API you designed last quarter.
One bad query, one tenant bug, one permission mistake — and data lives behind shared infrastructure, so the blast radius is every other customer.
Agents are most useful when they roam freely. That freedom needs physical isolation underneath it — not one more fragile policy layer to misconfigure.
You keep building your product. UnleashDB runs the agent-facing SQL surface, OAuth access, and a physically isolated database per customer.
Send UnleashDB the customer-specific data you'd otherwise expose through a narrow API or a shared reporting layer.
Every customer's data lands in a dedicated database instance — no shared tenant table to accidentally cross.
Your customers authorize their agent once, then query and deep-dive their own data with arbitrary SQL.
UnleashDB is built for the moment agents stop asking pre-approved questions and start investigating. The safety boundary is the database instance itself.
There is no query path from one user's MCP server to another user's database instance. None.
Expensive exploration is contained to that user's instance — never anyone else's workload.
Built for safe data exposure — not mutation, admin actions, or operational writes.
Join the early list if your product has customer data that should be explorable by Claude, ChatGPT, Cursor, Codex, or any MCP-compatible agent.