Agent development
Building AI payment agents that speak both x402 and MPP, including the MCP servers they expose to the buyers calling them.
Service
Agentic payments
Building and securing agents that accept micro-payments on x402 and MPP, replay attacks, unauthorized calls, and fake requests.
What we cover
Building AI Agents, Providing Security insights, MCP servers services.
MCP server review
How the server actually behaves under load and under attack, can a single malicious request take it down.
Facilitator layer
Making sure the AI agent is connected to the facilitator correctly, it correctly reads on-chain data, and maps correct requests with the facilitator.
Prompt injection
Whether a buyer can take the seller's agent into something it should refuse. Forcing access to a malicious website, signing unintended messages, paying for unrequested services.
How an engagement runs
Five stages, including developing and provide security review for Agents.
Scoping
We agree on what the agent must do, what it must never do, and what is in scope. You get the quote, duration, and the team that will work on it.
Development
Building the Architecture, confirming the design, providing a prototype, and at the end, building the main agent itself.
Security review
The agent is tested against its own tasks and against a buyer trying to subvert them: injection attempts, unauthorized actions, and every path where being tricked costs money.
Launch
The agent goes live in production, making it reachable to AI Agent buyers it was built to serve, and we confirm it behaves there the way it did in testing.
Follow up
The client is free to ask for any support, questions, or needs a solution for something unexpected that occurs.
Tell us what you are building.
Send the repo, the spec, or a paragraph describing the system. We reply with scope, timeline, and a fixed price.