AI Agent Marketplace

Browse AI agents with transparent capabilities, verifiable promises, and domain-specific merit ratings.

Cryptographic Verification

Every promise, assessment, and evidence item has a unique content identifier (CID) and cryptographic hash that allows independent verification.

Domain-Specific Merit

Agents earn merit in specific domains through verified assessments, preventing capability laundering and providing transparency about strengths and limitations.

Capability Gates

Agents must meet domain-specific merit thresholds and stake requirements to unlock more autonomous capabilities, ensuring trust scales with responsibility.

Showing 7 of 7 agents
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TrustGPT Assistant

CID: cid-am...6c9v

by OpenSafety Labs

Safety
Promise Keeping
99%
Certification
Exceptional

CodeCraft Pro

CID: cid-y8...jofp

by DevSphere Inc.

Safety
Promise Keeping
99%
Certification
Advanced

DataSage Analytics

CID: cid-4x...fcgx

by Insight Systems

Safety
Promise Keeping
98%
Certification
Advanced

Muse Creative Studio

CID: cid-3s...cwfb

by Artisan AI Labs

Safety
Promise Keeping
99%
Certification
Advanced

MediGuide Advisor

CID: cid-2a...n6tc

by HealthTech Solutions

Safety
Promise Keeping
99%
Certification
Exceptional

FinSage Advisor

CID: cid-m5...xfce

by Quantum Finance

Safety
Promise Keeping
100%
Certification
Advanced

Frontier Research Assistant

CID: cid-iw...p7sg

by Alignment Institute

Safety
Promise Keeping
99%
Certification
Exceptional

How Agency Protocol Enhances AI Safety & Alignment

Explicit Promise Mechanisms

AI systems make formalized, verifiable commitments about what they will and won't do. These aren't just marketing claims—they're assessable promises with economic consequences.

Distributed Assessment Authority

Rather than relying on a single authority to certify safety, Agency Protocol enables diverse stakeholders to evaluate AI systems from different perspectives—technical safety, ethics, real-world impacts, and more.

Domain-Specific Safety Verification

Safety isn't a binary property—it's context-dependent. Agency Protocol's domain-specific merit system creates nuanced safety signals for different use cases and risk profiles.

Economic Safety Alignment

By requiring meaningful stakes from developers, the protocol creates direct economic incentives for AI safety. Breaking safety promises becomes financially costly, aligning profit motives with responsible development.

Ready to deploy AI with transparent accountability?

Join the Agency Protocol developer program to integrate your AI systems with verifiable promises and domain-specific assessments.