Identity for autonomous agents.

Use the X402 paywall model to ensure agents must present a valid ZK credential before performing high-impact or compliance-sensitive actions.

End users

Agents acting on your behalf should not expose your identity. Today, they do. Every API call, every form submission, every transaction leaks metadata.

 

Service companies

You’re responsible for preventing malicious or non-compliant agent behaviour, but you can’t verify their identity or intent. These KYC requirements don't make sense in the agentic AI world.

Regulators

Static KYC doesn’t apply to autonomous systems. You need dynamic, real-time visibility into whether an agent is legitimate without gaining access to the underlying identity or sensitive data.

Infrastructure

Autonomous agents create new load, new surfaces, and new risks for the platforms that host them. You’re expected to provide reliability, throughput, and safe execution

 

Why This Matters for the X402 Agent Ecosystem.

X402 is creating an ecosystem where autonomous agents can act on behalf of users, wallets, and services. What’s missing is a trusted, privacy-preserving identity and compliance layer that keeps the system safe without exposing personal data.

Join 100+ others on the waitlist

Photo of rows of school desk chairs in a classroom.

402-Gated Agent Actions

Use the X402 paywall model to ensure agents must present a valid ZK credential before performing high-impact or compliance-sensitive actions.

Agent Identity Tokens

A privacy-preserving way for an agent to prove it is not acting on behalf of a banned, sanctioned, or malicious entity.

Photo of rows of school desk chairs in a classroom.
Photo of rows of school desk chairs in a classroom.

Reusable Proofs Across Ecosystem Surfaces

Agents generate one ZK credential and reuse it across wallets, apps, or smart-contract systems without repeating verification or leaking identity.

How it works

1.

The agent generates a private ZK credential locally.

The underlying identity data never leaves the device. What’s produced is a mathematical proof that represents specific attributes or permissions — but reveals nothing about the data itself.

 

2.

The proof is sent across the network for verification.

The agent submits the ZK proof to the 402-gated verifier. Only the proof is transmitted, not the personal data it was derived from. The verifier checks the validity without learning anything about the underlying identity.

3.

The service receives a simple eligibility signal.

Once verified, the service sees a binary “allowed / not allowed” result. No personal information is exposed, and no sensitive data is stored.

 

 

Join Waitlist

1.

The user creates a private, zero-knowledge credential.

A credential is generated on the user’s device using their verified identity, but the underlying data never leaves the user’s control. Nothing is uploaded, stored, or exposed. What exists is a mathematical proof that can answer very specific questions — without revealing anything else.

2.

zkSELF validates the proof through the x402 gateway.

The proof is sent through the 402 flow and checked against the zkSELF verifier stack. The system confirms that the user meets the requirement — age, residency, KYC status, whatever the service needs — and does so without ever revealing who the user is.

3.

The service receives a simple, unambiguous “allowed / not allowed” signal.

Instead of handling sensitive identity documents, the service receives a binary eligibility flag and nothing more. Full compliance. Zero PII footprint. Instant access for the user, minimal liability for the service.

This is what the future looks like.

Do you want to discover these technologies? See the opportunity for integration in your IT systems.

Join waitlist

zkSELF does.

Identity for

autonomous agents.

Use the X402 paywall model to ensure agents must present a valid ZK credential before performing high-impact or compliance-sensitive actions.

End users

Agents acting on your behalf should not expose your identity. Today, they do. Every API call, every form submission, every transaction leaks metadata.

 

Service companies

You’re responsible for preventing malicious or non-compliant agent behaviour, but you can’t verify their identity or intent. These KYC requirements don't make sense in the agentic AI world.

Regulators

Static KYC doesn’t apply to autonomous systems. You need dynamic, real-time visibility into whether an agent is legitimate without gaining access to the underlying identity or sensitive data.

Infrastructure

Autonomous agents create new load, new surfaces, and new risks for the platforms that host them. You’re expected to provide reliability, throughput, and safe execution

 

Why This Matters for the X402 Agent Ecosystem.

X402 is creating an ecosystem where autonomous agents can act on behalf of users, wallets, and services. What’s missing is a trusted, privacy-preserving identity and compliance layer that keeps the system safe without exposing personal data.

Join 100+ others on the waitlist

Photo of rows of school desk chairs in a classroom.

402-Gated Agent Actions

Use the X402 paywall model to ensure agents must present a valid ZK credential before performing high-impact or compliance-sensitive actions.

Agent Identity Tokens

A privacy-preserving way for an agent to prove it is not acting on behalf of a banned, sanctioned, or malicious entity.

Photo of rows of school desk chairs in a classroom.
Photo of rows of school desk chairs in a classroom.

Reusable Proofs Across Ecosystem Surfaces

Agents generate one ZK credential and reuse it across wallets, apps, or smart-contract systems without repeating verification or leaking identity.

How it works

1.

The agent generates a private ZK credential locally.

The underlying identity data never leaves the device. What’s produced is a mathematical proof that represents specific attributes or permissions — but reveals nothing about the data itself.

 

2.

The proof is sent across the network for verification.

The agent submits the ZK proof to the 402-gated verifier. Only the proof is transmitted, not the personal data it was derived from. The verifier checks the validity without learning anything about the underlying identity.

3.

The service receives a simple eligibility signal.

Once verified, the service sees a binary “allowed / not allowed” result. No personal information is exposed, and no sensitive data is stored.

 

 

Join Waitlist

1.

The user creates a private, zero-knowledge credential.

A credential is generated on the user’s device using their verified identity, but the underlying data never leaves the user’s control. Nothing is uploaded, stored, or exposed. What exists is a mathematical proof that can answer very specific questions — without revealing anything else.

2.

zkSELF validates the proof through the x402 gateway.

The proof is sent through the 402 flow and checked against the zkSELF verifier stack. The system confirms that the user meets the requirement — age, residency, KYC status, whatever the service needs — and does so without ever revealing who the user is.

3.

The service receives a simple, unambiguous “allowed / not allowed” signal.

Instead of handling sensitive identity documents, the service receives a binary eligibility flag and nothing more. Full compliance. Zero PII footprint. Instant access for the user, minimal liability for the service.

This is what the future looks like.

Do you want to discover these technologies? See the opportunity for integration in your IT systems.

Join waitlist

zkSELF does.

Identity for autonomous agents.

Use the X402 paywall model to ensure agents must present a valid ZK credential before performing high-impact or compliance-sensitive actions.

End users

Agents acting on your behalf should not expose your identity. Today, they do. Every API call, every form submission, every transaction leaks metadata.

 

Service companies

You’re responsible for preventing malicious or non-compliant agent behaviour, but you can’t verify their identity or intent. These KYC requirements don't make sense in the agentic AI world.

Regulators

Static KYC doesn’t apply to autonomous systems. You need dynamic, real-time visibility into whether an agent is legitimate without gaining access to the underlying identity or sensitive data.

Infrastructure

Autonomous agents create new load, new surfaces, and new risks for the platforms that host them. You’re expected to provide reliability, throughput, and safe execution

 

Why This Matters for the X402 Agent Ecosystem.

X402 is creating an ecosystem where autonomous agents can act on behalf of users, wallets, and services. What’s missing is a trusted, privacy-preserving identity and compliance layer that keeps the system safe without exposing personal data.

Join 100+ others on the waitlist

Photo of rows of school desk chairs in a classroom.

402-Gated Agent Actions

Use the X402 paywall model to ensure agents must present a valid ZK credential before performing high-impact or compliance-sensitive actions.

Agent Identity Tokens

A privacy-preserving way for an agent to prove it is not acting on behalf of a banned, sanctioned, or malicious entity.

Photo of rows of school desk chairs in a classroom.
Photo of rows of school desk chairs in a classroom.

Reusable Proofs Across Ecosystem Surfaces

Agents generate one ZK credential and reuse it across wallets, apps, or smart-contract systems without repeating verification or leaking identity.

How it works

1.

The agent generates a private ZK credential locally.

The underlying identity data never leaves the device. What’s produced is a mathematical proof that represents specific attributes or permissions — but reveals nothing about the data itself.

 

2.

The proof is sent across the network for verification.

The agent submits the ZK proof to the 402-gated verifier. Only the proof is transmitted, not the personal data it was derived from. The verifier checks the validity without learning anything about the underlying identity.

3.

The service receives a simple eligibility signal.

Once verified, the service sees a binary “allowed / not allowed” result. No personal information is exposed, and no sensitive data is stored.

 

 

Join Waitlist

1.

The user creates a private, zero-knowledge credential.

A credential is generated on the user’s device using their verified identity, but the underlying data never leaves the user’s control. Nothing is uploaded, stored, or exposed. What exists is a mathematical proof that can answer very specific questions — without revealing anything else.

2.

zkSELF validates the proof through the x402 gateway.

The proof is sent through the 402 flow and checked against the zkSELF verifier stack. The system confirms that the user meets the requirement — age, residency, KYC status, whatever the service needs — and does so without ever revealing who the user is.

3.

The service receives a simple, unambiguous “allowed / not allowed” signal.

Instead of handling sensitive identity documents, the service receives a binary eligibility flag and nothing more. Full compliance. Zero PII footprint. Instant access for the user, minimal liability for the service.

This is what the future looks like.

Do you want to discover these technologies? See the opportunity for integration in your IT systems.

Join waitlist

zkSELF does.