TreeshipProof Engine

Prove Your AI AgentActually Works

Stop making claims about your AI agent's performance. Start proving them. Add one decorator and your customers can independently verify everything your agent does.

Customer Verification Ready
See Code Examples

Verifiable Memory

Cryptographic proof of agent memory states

Tree Root Anchoring

Merkle trees anchor all agent operations

One Decorator

Add @attest to any function

Three Types of Customer Verification

From trust to proof in minutes - let your customers verify everything your AI agent claims

Verifiable Memory

Cryptographic proof of what your agent remembers and forgets across conversations

What Gets Verified

Memory state proofs
Conversation continuity
Data retention verification
Forgetting attestations

"Customer verifies your agent correctly remembers their preferences while forgetting sensitive data"

Tree Root Anchoring

Every agent operation gets anchored to a Merkle tree root for immutable verification

What Gets Verified

Merkle Mountain Ranges
Canonical serialization
Ed25519 signatures
Tamper-proof logs

"Customer independently verifies all 1,247 agent operations using a single tree root hash"

Performance Attestation

Generate zero-knowledge proofs of speed, accuracy, and reliability metrics

What Gets Verified

ZK performance proofs
Accuracy verification
Response time attestations
Uptime guarantees

"Customer verifies 99.5% accuracy and <50ms response time without accessing your systems"

One Line of Code

Add verification to any function with a single decorator

Basic Performance Attestation

Add the @attest decorator to any function. Customers get cryptographic proof of performance.

Automatically tracks execution time
Records success/failure rates
Generates verifiable proofs
Customer can verify independently
agent.py
# agent.py
from treeship import attest

@attest # ← Add this line
def analyze_data(data):
    # Your existing code
    result = process(data)
    return result

# Customer gets proof automatically

Customer Verification

Your customers can independently verify your agent's performance using their own verification system.

No trust required - mathematical proof
Customer runs verification locally
Works without accessing your systems
Builds customer confidence
verify.py
# customer_verify.py
from treeship import verify

# Get proof from agent
proof = agent.get_proof()

# Verify independently
is_valid = verify.check(proof)

if is_valid:
    print("✓ Agent verified")
# No trust needed - math proof

Ready to Build Customer Trust?

Join the waitlist to get early access to the Treeship Proof Engine and start building verifiable AI agent functions.

Join the Waitlist

Get early access to Treeship ZK module