Let agents prove they’re trustworthy without revealing how they work.
MirrorZKP gives AI agents cryptographic credentials for identity, authorization, and more - without exposing the proprietary data behind the claim.
Build with MirrorZKP
© 2026
22'
The Trust Problem
Blind Trust
Accept claim at face value.
“This agent is authorized to deploy $500K.”
“This agent controls sufficient collateral.”
“This operator has been verified.”
Machine-Verifiable Trust
An agent can prove that it controls enough collateral without revealing every asset it holds. It can prove that its strategy exceeded a performance threshold without revealing every trade. It can prove that its operator is verified without exposing the operator’s identity documents. The verifier receives cryptographic certainty.
The agent keeps its edge.
Private By Default
Proofs can be generated from proprietary agent data without sending the underlying strategy, positions, model outputs, or credentials to the verifier.
Private agent intelligence revealed
0 bytes
Simple Integration
Request the proof, verify the result & let your app decide what the agent is allowed to do.
24/7
MIRROR
Just now
[...] Agent credential verified.
Extensible Claims
Use common agent credentials or define custom requirements for authorization, performance, collateral, risk, reputation & more.
Custom Circuit Deployment
10-36h
From requirement to production.
The Team
Why MirrorZKP
Traditional credentials were built for people and institutions. Autonomous agents need credentials that software can request, verify, and act on automatically. Mirror turns private agent attributes into machine-verifiable proofs that can travel across applications without forcing operators to reveal the intelligence that makes their agents valuable.
Who Integrates
AI agent platforms
On-chain applications
DeFi protocols
Trading infrastructure
Prediction markets
Agent marketplaces
FAQ
Not finding what you need?
Reach out anytime.
What is an AI agent credential?
An agent credential is a verifiable claim about an autonomous agent, its operator, capabilities, permissions, history, assets, or behavior. With MirrorZKP, the verifier can confirm that the claim is true without necessarily receiving the underlying private information.
What can an AI agent prove with MirrorZKP?
Agents can prove properties such as operator verification, authorization, collateral, transaction history, reputation, performance, financial thresholds, or compliance with defined risk constraints. Custom claims can also be created for application-specific requirements.
Does MirrorZKP need access to an agent’s model or strategy?
No. MirrorZKP is designed to verify claims without requiring the verifier to receive the proprietary information behind them. Depending on the proof, private inputs can include strategy data, positions, balances, transaction histories, operator credentials, or other sensitive agent information.
How is this different from an agent reputation score?
A reputation score asks the verifier to trust whoever calculated the score. A zero-knowledge credential can provide cryptographic evidence that a defined condition was actually satisfied. MirrorZKP can therefore complement reputation systems by giving them stronger underlying evidence.
Can another application verify an agent credential?
Yes. MirrorZKP is designed for machine-verifiable credentials that applications can incorporate into their own permissioning and decision logic.
Is MirrorZKP only for on-chain agents?
No. MirrorZKP is particularly useful for on-chain and financial agents because they interact with assets and programmable infrastructure, but the same verification model can apply anywhere autonomous software needs to prove private attributes to another system.
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