Proof of Concept
We are building a Proof of Concept (PoC) demonstrates how multiple trust components can work together to verify the actions of an AI agent from start to finish.
Goal - The goal is to create a closed trust loop where every step, from identity to execution, can be verified, audited, and trusted.
Connexted Systems:
Component
`Scope
OneStopAgents
The interface where AI agents are deployed and run tasks.
Agent Passport
A digital credential that proves the agent’s identity and permissions.
Cheqd
Issues and verifies decentralized identifiers (DIDs) and credentials.
EigenCloud
Confirms that each AI task was executed securely in a verified environment.
TAP (Trust Assurance Protocol)
Applies trust rules, validates credentials, and records compliance results.
Manual Auditor
Reviews trust logs, investigates exceptions, and ensures end-to-end integrity.
The PoC shows that an AI agent can:
Prove its identity using a verified Agent Passport
Execute a verified task within a trusted environment
Be evaluated for compliance through TAP
Produce results that are verifiable and auditable
The Trust Loop
Identity → Task → Proof → Trust Decision
Identity: Cheqd issues a decentralized ID; the Agent Passport stores verified credentials.
Task: The agent executes a job on OneStopAgents.
Proof: EigenCloud provides an attestation confirming secure execution.
Trust Decision: TAP checks all credentials and logs the outcome for auditors. Together, these components form a transparent and verifiable cycle of trust , a foundation for reliable AI operations. This flow ensures every output is tied back to a trusted source and verified process.
Expected Outcome: This PoC proves that AI agents can operate under verifiable identity, secure execution, and transparent accountability , setting the stage for scalable, compliant, and trustworthy agent ecosystems.
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