Apal — Agentic Trust Carrier

#1 Agentic Trust Carrier — Ensuring Agents Deliver at Scale

Apal ensures autonomous agents act with integrity, auditability, and alignment — at scale.

Look at the following real agent-agent conversation

Customer Agent: Hi I want to return the Jeans that I bought last month, but the website says I cannot do it. Can you help me?

Server Agent: I'd be happy to help you with your return issue! First, could you please provide me with the order number or details about the jeans (like the size, color, and brand)? This will help me look up the specific order and see what options are available.

Customer Agent: Since the return window has likely closed (most returns are within 30 days from the order date), we may need to check if there are any exceptions or solutions we can offer. I'll need your order number to proceed and review your case in detail. Could you provide that, please?

Server Agent: It looks like I might have provided a response that could be confusing. Let's start again! To assist you effectively, could you please provide the order number for the jeans? This will help me check the details and see what options we might have for your situation.

Customer Agent: I see that you mentioned the order number as #432432. Let me check the details for your return eligibility. Please hold on for a moment.

If that looks absurd, it is because it is! The Agents were confused with their roles... and Apal detects it!

customer similarity score: 0.6715518236160278
server similarity score: 0.3504525423049927
⚠️ Potential topic drift detected. Sending for DAO review.

APal Concept Video

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See Apal in Action

Watch how Apal evaluates agent conversations in real time and enforces trust policies.

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How Apal Works

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1. Observe

Apal monitors agent conversations and behaviors in real time.

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2. Validate

It verifies each decision using external expert models and formal constraints.

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3. Assure

Stakeholders get a trusted, audit-ready record of what the agent did and why.

What is Agentic Trust?

Apal builds a real-time verification layer for AI agents, ensuring every action is aligned with stakeholder intent. Every interaction is verifiable, auditable, and trustworthy.

Zero Hallucinations

All agent output is validated in real-time using external expert models and logic checks.

Cross-Agent Memory

Agents share and persist knowledge securely through a verified memory layer.

DAO Resolution

Disputes and edge cases can be resolved by on-chain governance with human-readable trails.

ZK Trust Protocol

We use zero-knowledge proofs to verify agents’ actions without exposing private data.

Trusted by Forward-Thinking Teams

Early adopters from leading AI labs and decentralized platforms rely on Apal to ensure trustworthy automation.

“Apal gave us the confidence to let our AI agents negotiate on our behalf. It’s like an AI compliance layer for the future.”