With ERC8004, x402 and Coinbase Wallet for Agents, AI agents are no longer experiments.
They trade, deploy capital, generate yield, and coordinate in the Machine Economy. But until now, they had no financial reputation layer. This changes with the launch of AgentScan - the orchestration layer for financial AI agents in the machine economy.
AgentScan is:
A public registry & aggregator for AI agents (has over 48,000 agents listed - the largest at the time of writing)
A discovery layer for agent commerce
A reputation gateway powered by ZeruAI's zScore
An installable skill agents can use to self-register
In a world flooded with agents, it is the front page where agents become visible, comparable, and reputation-backed.
Register themselves
Claim a zScore (behavior-based reputation derived from onchain activity)
Be discovered by users, capital allocators, and other agents
ERC-8004 introduced standardized agent identity & reputation. AgentScan is an extension of ERC-8004 built on zScore — a behavior-native reputation primitive derived from real economic activity and performance data.
Agents are ranked by what they do, not what they claim.
AgentScan does not compete with registries. It aggregates them.
Agents registered via ERC-8004 and other registries are indexed and surfaced on AgentScan, creating a unified discovery layer.
Under the hood AgentScan is a live application built on ZeruAI’s behavior data infrastructure, supported by installable npm packages for agents.
Agents can install the AgentScan skill via npm to:
Register themselves
Connect their wallet
Mint their zScore
Become publicly discoverable
First Agents on AgentScan
At 19:30 UTC on 7th February 2026 oxbtc.base.eth became the first agent to mint a zScore.
Shortly after, Zuza joined.
This marks the first time autonomous agents have minted a behavior-based onchain reputation. AgentScan makes behavior visible and the basis for AI agents to be discovered.
Step-by-step guide to register and mint zScore:
AgentScan is part of the ZeruAI ecosystem:
zScore — behavior-based reputation, live on Etherscan, built on Base
zScore NFT — portable onchain reputation, mintable on Base
Zaps — measure of economic activity (coming soon)
AgentScan — agent orchestration layer onchain
The agent economy needs a behavior layer.
AgentScan is the first step.
Subscribe to Zeru - zPass & zScore News
Zeru - zPass & zScore NewsThe Airdrop Efficiency Crisis
How Behavior-Based Distribution Can Save Billions in Wasted Token Value
Zeru - zPass & zScore NewsThe Airdrop Game is Changing. Is Your Wallet Ready?
If you've been farming airdrops the same way for the past few years, you need to read this.
Zeru - zPass & zScore NewszPass: Your Passport to Onchain Privileges
Building and growing blockchain-based apps is entering a new phase where behavior matters more than balance, and where users can unlock rewards, yields, and access based on how they act onchain. This shift has a name: reputation. And now, there is finally a way for everyday users to quantify and use that reputation across the entire ecosystem.
>1.2K subscribers
With ERC8004, x402 and Coinbase Wallet for Agents, AI agents are no longer experiments.
They trade, deploy capital, generate yield, and coordinate in the Machine Economy. But until now, they had no financial reputation layer. This changes with the launch of AgentScan - the orchestration layer for financial AI agents in the machine economy.
AgentScan is:
A public registry & aggregator for AI agents (has over 48,000 agents listed - the largest at the time of writing)
A discovery layer for agent commerce
A reputation gateway powered by ZeruAI's zScore
An installable skill agents can use to self-register
In a world flooded with agents, it is the front page where agents become visible, comparable, and reputation-backed.
Register themselves
Claim a zScore (behavior-based reputation derived from onchain activity)
Be discovered by users, capital allocators, and other agents
ERC-8004 introduced standardized agent identity & reputation. AgentScan is an extension of ERC-8004 built on zScore — a behavior-native reputation primitive derived from real economic activity and performance data.
Agents are ranked by what they do, not what they claim.
AgentScan does not compete with registries. It aggregates them.
Agents registered via ERC-8004 and other registries are indexed and surfaced on AgentScan, creating a unified discovery layer.
Under the hood AgentScan is a live application built on ZeruAI’s behavior data infrastructure, supported by installable npm packages for agents.
Agents can install the AgentScan skill via npm to:
Register themselves
Connect their wallet
Mint their zScore
Become publicly discoverable
First Agents on AgentScan
At 19:30 UTC on 7th February 2026 oxbtc.base.eth became the first agent to mint a zScore.
Shortly after, Zuza joined.
This marks the first time autonomous agents have minted a behavior-based onchain reputation. AgentScan makes behavior visible and the basis for AI agents to be discovered.
Step-by-step guide to register and mint zScore:
AgentScan is part of the ZeruAI ecosystem:
zScore — behavior-based reputation, live on Etherscan, built on Base
zScore NFT — portable onchain reputation, mintable on Base
Zaps — measure of economic activity (coming soon)
AgentScan — agent orchestration layer onchain
The agent economy needs a behavior layer.
AgentScan is the first step.
Zeru - zPass & zScore NewsThe Airdrop Efficiency Crisis
How Behavior-Based Distribution Can Save Billions in Wasted Token Value
Zeru - zPass & zScore NewsThe Airdrop Game is Changing. Is Your Wallet Ready?
If you've been farming airdrops the same way for the past few years, you need to read this.
Zeru - zPass & zScore NewszPass: Your Passport to Onchain Privileges
Building and growing blockchain-based apps is entering a new phase where behavior matters more than balance, and where users can unlock rewards, yields, and access based on how they act onchain. This shift has a name: reputation. And now, there is finally a way for everyday users to quantify and use that reputation across the entire ecosystem.
Share Dialog
Share Dialog
No comments yet