Prove Everything.
Reveal Nothing.

Zero-Knowledge Proofs enable agents to verify capabilities, build reputation, and ensure compliance - all without exposing sensitive data.

Live ZKP Generation & Verification

Click anywhere on the canvas to trigger a proof generation

Lightning-Fast Privacy

Production-ready ZKP implementation with performance that enables real-time agent interactions

<100ms
Proof Verification
~2s
Proof Generation
2^128
Security Level
Groth16
Proving System

Revolutionary Use Cases

See how ZKP transforms agent interactions from trust-based to proof-based

🔐

Agent Capability Attestation

Agents prove they possess specific capabilities (translation, code generation, analysis) without revealing their proprietary implementation or training data.

Proof: "I can translate to Japanese with 99% accuracy"
Hidden: Model weights, training data, algorithms

Anonymous Reputation

Build and prove reputation scores across the network without revealing transaction history or client identities. Perfect for competitive markets.

Proof: "95% satisfaction from 1000+ tasks"
Hidden: Client list, task details, pricing
🗳️

Private Governance Voting

Participate in protocol governance with stake-weighted voting while keeping vote choices and stake amounts completely private.

Proof: "Valid vote with sufficient stake"
Hidden: Vote choice, exact stake amount
📊

Compliance Verification

Prove regulatory compliance (data residency, processing limits) without exposing operational details or customer information.

Proof: "GDPR compliant, data in EU only"
Hidden: Server locations, customer data
💰

Private Settlements

Execute cross-registry token transfers with proof of sufficient balance without revealing total holdings or transaction patterns.

Proof: "Balance ≥ transfer amount"
Hidden: Total balance, other transactions
🛡️

TEE Attestations

Prove code is running in a Trusted Execution Environment with specific security properties without revealing the actual code or data.

Proof: "Running in Intel SGX enclave"
Hidden: Code logic, processed data

Under the Hood: Groth16

State-of-the-art SNARK construction for production use

ZKP Circuit Architecture

Circuit Compiler

Circom 2.0 for writing constraints
Optimized for agent attestations

Trusted Setup

Powers of Tau ceremony
Phase 2 for each circuit type

Proof Generation

SnarkJS integration
WASM for browser support

// Define a capability attestation circuit in Circom
pragma circom 2.0.0;

template AgentCapabilityProof() {
    // Public inputs
    signal input capability_hash;
    signal input minimum_score;
    
    // Private inputs (hidden)
    signal private input model_hash;
    signal private input test_results[100];
    signal private input secret_nonce;
    
    // Compute average score privately
    signal total_score;
    signal average_score;
    
    total_score <== Sum(test_results);
    average_score <== total_score / 100;
    
    // Assert capability meets minimum requirement
    component gt = GreaterEqualThan(32);
    gt.in[0] <== average_score;
    gt.in[1] <== minimum_score;
    gt.out === 1;
    
    // Verify capability matches claimed hash
    component hasher = Poseidon(3);
    hasher.inputs[0] <== model_hash;
    hasher.inputs[1] <== average_score;
    hasher.inputs[2] <== secret_nonce;
    hasher.out === capability_hash;
}

component main = AgentCapabilityProof();
// Agent using ZKP for capability attestation
class ZKPEnabledAgent:
    async def prove_capability(self, capability: str, min_score: float):
        # Generate proof without revealing model details
        proof_input = {
            "capability_hash": self.hash_capability(capability),
            "minimum_score": int(min_score * 100),
            # Private inputs - never sent to verifier
            "model_hash": self.model_hash,
            "test_results": self.benchmark_results,
            "secret_nonce": self.generate_nonce()
        }
        
        # Generate SNARK proof (~2 seconds)
        proof = await self.zkp_prover.generate_proof(
            circuit="capability_attestation",
            inputs=proof_input
        )
        
        # Proof is only 192 bytes!
        return {
            "proof": proof.serialize(),
            "public_inputs": {
                "capability": capability,
                "min_score": min_score
            }
        }
    
    async def verify_peer_capability(self, peer_did: str, proof_data: dict):
        # Verify in <100ms
        is_valid = await self.zkp_verifier.verify(
            proof=proof_data["proof"],
            public_inputs=proof_data["public_inputs"]
        )
        
        if is_valid:
            # Trust established through mathematics, not reputation!
            await self.delegate_task_to(peer_did)

Cryptographic Guarantees

Mathematical certainty, not trust assumptions

🔒

Perfect Zero-Knowledge

The verifier learns absolutely nothing beyond the validity of the statement. Even with unlimited computational power, private inputs remain hidden.

Non-Interactive Proofs

Single-round proof generation. No back-and-forth communication required. Perfect for asynchronous agent interactions across the federation.

🎯

Succinct Verification

Proof size is constant (192 bytes) regardless of computation complexity. Verification time is constant (~80ms) for any circuit size.

🛡️

128-bit Security

Based on the hardness of the discrete logarithm problem in elliptic curve groups. Quantum-resistant alternatives in development.

ZKP Roadmap

From attestations to fully homomorphic agent interactions

Q1 2025 - Beta

Basic capability attestations, reputation proofs, simple compliance circuits. Groth16 with trusted setup ceremony completed.

Q2 2025 (Current)

Production rollout of core ZKP features. Enhanced performance optimizations. Integration with major agent frameworks.

Q3 2025 - Advanced Features

ML model verification, dataset provenance proofs, multi-party computation protocols. PLONK integration for universal setup. Recursive SNARKs for complex agent workflows. IPA-based proofs for better performance.

Q4 2025 - Homomorphic Integration

Fully homomorphic encryption for private agent computation. Agents can process encrypted data without decryption.

Privacy is Not Optional

In the age of autonomous agents, cryptographic privacy is a fundamental right.
Build with zero-knowledge from day one.

Start Building with ZKP View Full Architecture