TreeshipZK Attestations

Zero-Knowledge Attestations

Cryptographically prove your AI agent's capabilities without revealing sensitive data or proprietary logic. Enable independent verification, establish trust, and maintain privacy through mathematically guaranteed proofs.

Execution Logging

Track and verify function calls and outputs

Performance Metrics

Monitor response times and success rates

API Verification

Validate input/output contracts are met

Get Started in Minutes

From zero to attested AI agent in three simple steps

terminal

$ npm install -g treeship-cli

✓ Treeship CLI installed

$ treeship init my-agent

✓ Project initialized → Setting up templates... → Installing dependencies... ✓ Development environment ready

$ treeship import zk-sync

✓ ZK Sync module imported → Configuring proofs... → Setting up verification... ✓ ZK capabilities enabled

$ treeship deploy --verify

✓ Agent deployed successfully → Generating proofs... → Verifying capabilities... ✓ Agent attested & ready 🎉 Your agent is now: ✓ Monitored ✓ Logging enabled ✓ Metrics tracked

Instant ZK Integration

< 5 minutes

Add ZK capabilities to any AI agent with a single command

Enterprise-Ready

100% verified

Automatic attestation and compliance checks

Performance Tracking

Real-time

Monitor agent performance and reliability

Core Monitoring Features

Essential monitoring and verification capabilities for AI agents

Execution Monitoring

Track and log agent operations for debugging and auditing

Function call logging

Input/output tracking

Error monitoring

Response time metrics

Performance Analytics

Monitor and analyze agent performance over time

Success rate tracking

Latency monitoring

Resource usage

Error rate analysis

API Compliance

Ensure agents meet expected behavior and contracts

Schema validation

Contract testing

Integration checks

Regression detection

What Treeship Module Unlocks

example.py

from treeship.zk import ZKModule

# Add ZK proofs to any function
zk = ZKModule()

@zk.prove
def process_data(input):
    # Your logic here
    result = ai_model.process(input)
    
    # Automatic proof generation:
    # ✓ Execution proof
    # ✓ Input/output validation  
    # ✓ Performance metrics
    
    return result

# Certify and deploy
skills = zk.attest_capabilities([
    "text-processing",
    "sentiment-analysis"
])

deploy(proofs=True, skills=skills)

Instant ZK Integration

Add ZK capabilities to any AI agent with a simple decorator

Automated Proof Generation

Automatically generate and verify proofs for all operations

Privacy Controls

Fine-grained control over data privacy and disclosure

Skill Verification

Certify and showcase your agent's capabilities

Integration Testing

Test and validate your agent's integration with other systems

integration_test.py

# Test your agent integrations
from treeship import test_suite

# Define integration tests
@test_suite.integration
def test_api_response():
    response = agent.process("test input")
    assert response.status == 200
    assert response.time < 500  # ms
    
@test_suite.integration
def test_error_handling():
    response = agent.process(invalid_input)
    assert response.error_handled
    assert response.fallback_used

# Run comprehensive test suite
results = test_suite.run_all()
print(f"Tests passed: {results.passed}/{results.total}")

API Contract Testing

Validate input/output schemas and response formats

Schema validation

Type checking

Required fields

Response format

Performance Testing

Monitor response times and resource usage

Response time

Memory usage

Concurrent requests

Rate limiting

Error Handling

Ensure graceful handling of edge cases

Invalid inputs

Timeout handling

Retry logic

Fallback behavior

Integration Points

Verify connections with external services

API connectivity

Auth validation

Data persistence

Event handling

Monitoring & Verification

Track and verify your AI agent's behavior and performance

Execution Logs

Track function calls and results

Function call logs

Input/output tracking

Error monitoring

Performance metrics

Performance Metrics

Monitor agent performance

Response times

Success rates

Resource usage

Throughput metrics

Error Tracking

Monitor and debug failures

Exception logging

Failure analysis

Debug traces

Error patterns

Simple, Transparent Pricing

Start free and scale with your AI agent network

Starter

Freeforever

Perfect for individual developers and experimentation

1 AI agent

Basic monitoring

Log analysis

Community support

Open source SDK

Growth

$20/per month

For small teams building production applications

3 AI agents included

Advanced monitoring

Performance analytics

Email support

Analytics dashboard

API access

$5/month per additional agent

Enterprise

Customcontact us

For organizations with specific requirements

Unlimited AI agents

Custom monitoring

Advanced analytics

Priority support

White-label options

SLA guarantees

On-premise deployment

All plans include SSL encryption, 99.9% uptime SLA, and GDPR compliance

Enterprise Security24/7 SupportData Sovereignty

Monitor Your Treeships

Real-time insights into your attested AI agents and their verification status

Active Treeships

3

Proofs This Month

127

+23

Verification Rate

100%

✓

Quick Actions

Active Treeships

Treeship	Status	Last Proof	Verification
Content Analyzer Treeship	Verified	5m ago	✓ Attested
Document Processor Treeship	Verified	12m ago	✓ Attested
Data Classifier Treeship	Pending	1h ago	⏳ Processing