In this guide

AI agents are becoming an onchain product category: software that can discover services, hold an identity, request or execute transactions, and build public performance signals. ERC-8004 proposes interoperable identity, reputation, and validation registries that connect agent endpoints and Web3 identifiers. It remains a draft, so teams should track changes rather than present it as a finished universal standard.

The hard product question is not whether an agent can own a wallet. It is which actions the agent may take, with whose assets, under what limits, based on which data, and how a human stops or corrects it.

Define identity and authority separately

An identity record can state who operates the agent and where its endpoints live. Authority determines what it can actually do. Document the owner, controller, code and model versions, supported services, wallet addresses, signing policy, upgrade process, and revocation route.

Do not let a transferable identity token silently transfer treasury or administrator power. Bind high-risk authority to explicit operational controls.

Start with bounded transactions

Use allowlisted contracts, chains, assets, actions, counterparties, time windows, and value limits. Require human confirmation for new destinations, approvals, upgrades, bridge use, leverage, or amounts above a threshold. Simulate calls and show the expected state change before signing.

Store keys in an appropriate signer or policy service rather than exposing them to prompts, logs, or model context.

  • Per-action and daily value limits
  • Allowlisted contracts, methods, and counterparties
  • Human approval and emergency-stop conditions
  • Independent transaction simulation
  • Key isolation, rotation, and recovery

Treat reputation as evidence, not truth

Public feedback can be manipulated through sybil identities, collusion, or selective tasks. Record who provided the signal, the economic context, the task, time, and result. Use multiple evidence types and make the scoring policy visible.

Validation services and trusted execution claims also require threat models. An attestation can prove a defined property; it does not guarantee that every output or advertised capability is useful and non-malicious.

Launch with monitoring and an honest narrative

BlockPlanet can help scope the agent MVP, wallet and smart-contract interfaces, dashboard, landing page, technical documentation, community education, and coordinated security review. The first launch should use a narrow task and low-value environment with complete logs and clear human ownership.

Publish limitations, approval boundaries, fees, data sources, and current standard status. Avoid calling a draft registration mechanism โ€œtrustless proofโ€ of agent quality.

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Frequently asked questions

Is ERC-8004 a final Ethereum standard?

No. It is currently a draft proposal. Teams should follow the specification and ecosystem changes and avoid promising permanent compatibility.

Can onchain reputation prove an AI agent is safe?

No. Reputation is a signal that can be gamed or misinterpreted. Combine it with identity, task context, validation, transaction policies, monitoring, and human controls.

Should an AI agent control a treasury wallet?

Begin with limited authority, low values, allowlisted actions, independent simulation, and human approval. A broad treasury mandate requires a much stronger security and governance case.

Research

Sources & further reading

Primary references reviewed for this guide. Rules and draft standards can change; confirm the current text before acting.

  1. ERC-8004: Trustless Agents (Draft)Ethereum Improvement Proposals
  2. ERC-4337: Account Abstraction Using Alt MempoolEthereum Improvement Proposals