If you're building an AI product where agents need to access APIs, move assets or execute on-chain actions, Latch can be integrated as the authorization layer.
A practical starting flow:
→ Create a Secret for the service or credential your product needs
→ Create a Latch with scoped permissions
→ Define policies around endpoints, methods, spend, rate limits, identity or transactions
→ Integrate the Latch token into your agent workflow or MCP setup
→ Use simulation to validate your policy before production
→ Monitor activity and tighten permissions as your product evolves
This lets builders design agent workflows around programmable authority rather than exposing raw credentials.
The result: agents can actually take action while builders retain control over what those actions are allowed to be.
@RialoHQ