How Do You Give an AI Agent a Wallet (Without Losing Control)?
Handing a large language model a raw API key and a funded wallet is a bad idea. One confused turn, one prompt injection, and the funds are gone — with no spending ceiling, no proof the recipient is real, and no record a compliance team would accept.
The good news: you don’t have to choose between autonomy and control. The pattern that makes agentic payments safe has three parts.
1. A signed mandate, not a blank check
Before an agent can move a cent, the user signs a mandate — a cryptographic authorization that defines exactly what the agent may do: which assets, up to what amount, for what purpose, and for how long. The agent operates inside the mandate; it cannot exceed it. Because the mandate is signed, you can always prove who authorized a payment.
2. Spend tiers, enforced server-side
Limits only matter if something enforces them. Every request an agent makes is classified into a tier:
- Autonomous below a cap you set — the agent just transacts.
- Step-up above that cap — a human approves before funds move.
- Blocked beyond a ceiling — the request is refused outright.
The classification happens on the server, not in the prompt, so a clever message can’t talk its way past it.
3. A verified counterparty
The other half of trust is knowing who gets paid. Each counterparty is KYC-verified and its attestation is anchored on-chain, so a merchant — or another agent — can confirm the payer and payee are legitimate before accepting funds.
Where Hamirach fits
Hamirach packages all three into one rail. The user signs a mandate, the agent calls Hamirach’s AI-agent payment tools over the Model Context Protocol, counterparties are attested on-chain via Rillis, and every action lands in an immutable audit trail. Your agent gets a wallet — and the guardrails to use it.
Want to see it on your own use case? Book a demo.