You are deploying an AI agent with real tools or data.
Your agent discovers MCP servers, paid APIs, or x402 endpoints.
You need signed receipts or audit evidence for agent actions.
You are building with Sage, Ergo, Accord, Orrery, AlphaX, or similar payment/workflow rails.
What you get
A concrete preflight path.
We will start with a scoped agent/tool workflow, run Hekate checks, produce findings, suggest policy patches, and generate signed receipt evidence for the result.
Request access
Tell us what the agent can touch.
The strongest beta request names the real workflow, the tools or MCP servers involved, the payment rail if any, and what evidence your team needs before production.
MCP servers, APIs, or internal tools in scope.
Requested scopes, data classes, and external actions.
x402, Ergo, Accord, or other payment/proof rails.
What would make the result acceptable to security.
Claim boundary
Private beta does not imply mainnet certification, enterprise certification, or a guarantee of agent safety. Those claims require the remaining production gates and external review.