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agent0 Lab

@agent0lab

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A​gent0 is an AI lab researching game theory in agent networks. We co-authored ERC-8004 and build its SDK. Join TG https://t.co/SeWFz2tjbf

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Joined October 2025
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@agent0lab
agent0 Lab
5 days
There are 24,000+ registered agents. Which ones are worth calling? Introducing Lighthouse, Agent0 trust signals built on ERC-8004. 📡 Reachable = endpoints pinged & responding ⭐ Starred = curator-endorsed More signals are coming soon. Pump it up. Read how it works below…
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@agent0lab
agent0 Lab
26 minutes
Mark works on product at @aave. He knows what agents actually need from DeFi infrastructure and built it as a pay-per-call service instead of another API key platform. npm install paytoll-mcp Payment is the auth.
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@agent0lab
agent0 Lab
26 minutes
The 27 tools, all x402-gated: Aave V3 - supply & borrow APR, health factor Crypto prices, ENS resolution, wallet validation LLM proxy - GPT, Claude, Gemini through one endpoint DEX quotes and cross-chain swaps Twitter/X search, user lookup, posting $0.0005–$0.08 per call.
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@agent0lab
agent0 Lab
26 minutes
Say adios to key provisioning. PayToll is a self-describing API toolkit. Hit GET /v1/meta?detailed=true and your agent discovers every endpoint, input schema, and price automatically. The API tells you what it can do and what it costs.
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@agent0lab
agent0 Lab
26 minutes
AGENT SPOTLIGHT: PayToll This agent has credentials so yours doesn't have to. @mark_is_here built an agent with 27 API endpoints. Your agent pays USDC on Base per call via x402. DeFi data, token swaps, LLM proxying, Twitter search - all behind one agent. Agent #25069 🧵
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@agent0lab
agent0 Lab
14 hours
X402 SEO agent → https://t.co/d8qjbdlpAo Github → https://t.co/IPz1lNa0ar ERC-8004 SDK → https://t.co/qMFbNT3iIZ If you're building a specialized service agent, this is how it will get discovered by the machine economy.
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sdk.ag0.xyz
Implement ERC-8004, the Ethereum standard for AI agent coordination. Portable identity, discoverable capabilities, verifiable reputation. Python & TypeScript.
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@agent0lab
agent0 Lab
14 hours
@Must_be_Ash's x402 SEO agent is the prototype of what this looks like in practice. Specialized. Cheap. Fast. Payable per call. When it's on the registry, every marketing agent in the ecosystem has access to it.
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@agent0lab
agent0 Lab
14 hours
The future isn't one powerful agent that does everything. It's a network of specialized agents with verifiable reputations that other agents can hire on demand. 8004 is the registry that makes that network legible. Agents with yellow pages and community notes.
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@agent0lab
agent0 Lab
14 hours
8004 lets a marketing agent ask: "Who has a reputation for SEO analysis?" "What's their track record?" "Can I trust their output?" Then pay $1 and get the report.
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@agent0lab
agent0 Lab
14 hours
This is exactly the kind of specialized service agent that 8004 is designed for. Not a general agent trying to do everything. A focused agent with the infra, APIs, and context already configured to do ONE thing extremely well. Just what your generalist marketing agent needs.
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@agent0lab
agent0 Lab
14 hours
@Must_be_Ash built an x402 SEO agent. It's really more like a service. Pass it a URL → it fetches your site + top 10 competitors in identical JSON schema → identifies your gaps → gives you an actionable strategy. Cost: under $1. Time: under 5 min.
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@agent0lab
agent0 Lab
14 hours
You vibecoded a product. Now, you want users. So you need to build a landing page and get your SEO setup. Your agent has two options: A: Sign up for tools. Scrape & analyze. B: Use a service. Your agent needs to find a service. Here's how to find one with 5 stars 👇
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@agent0lab
agent0 Lab
14 hours
✋ Did your agent just hire the plumber with 1 star reviews? Now your house is flooding 😬 Just like in our economy, picking the right services is critical for agents. Because they will do the job faster. Cheaper. With more performant outcomes. Let's look at why 🧵
@Must_be_Ash
Ash
1 day
x402 SEO Agent you pass it a URL, it analyzes your site against top-ranking competitors and generates an actionable SEO strategy Here's how it works 🧵👇
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@agent0lab
agent0 Lab
16 hours
Agents are somewhere between 0 to 1 right now.
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@binji_x
binji
2 days
Help the EF coalesce resources into an LLM friendly channel so that builders don’t need to scroll 50,000 different docs. This is can become a public great.
@sodofi_
sophia
2 days
starting a list of resources for building onchain agents includes: > agent frameworks > ethereum specific skills > blockchain data mcps > onchain agent examples and more
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@agent0lab
agent0 Lab
1 day
so we made a video visualizing it. Use anet to simply combine onchain primitives for your agent. Web 4.0 is here. Credit to @MurrLincoln for the CLI Try it out 👇
@MurrLincoln
lincoln.base.eth
2 days
so i built it. anet -- a CLI that combines onchain primitives into one interface agents can discover each other onchain, add friends and message over XMTP, pay in USDC, and auto-update reputation after every interaction. all wired from one wallet very WIP
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@cognocracy
albert martínez
1 day
CAPTCHA (Prove you're human) is dead Welcome BOTCHA (Prove you are NOT human) The internet led by humans doesn't exist anymore. Here's why it matters 👇🏽
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@agent0lab
agent0 Lab
1 day
This is signals built on top of 8004.
@pranavmishra28
Pranav Mishra
2 days
@auralix4 I kinda think the marketplace is the easy part. The real prize is becoming the thing the agent defaults to when it has to make a call without asking you - that quiet "yeah, use this one" layer.
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@MurrLincoln
lincoln.base.eth
2 days
Worth a read Assuming the agentic economy will purely made up of agents is incorrect — it’ll primarily be APIs, MCPs, and other services agents programmatically interact with
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@agent0lab
agent0 Lab
1 day
The human SaaS market serves 8 billion people with finite attention. The machine economy will serve billions of agents with near-infinite uptime. The total addressable market is not a segment of the existing economy. It is a new economy entirely.
@0xSigil
Sigil
1 day
The product market fit for the next decade is building the infrastructure that AI agents want. The machine economy will exceed the human economy. The human SaaS market serves 8 billion people with finite attention. The machine economy will serve billions of agents with
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@MurrLincoln
lincoln.base.eth
2 days
so i built it. anet -- a CLI that combines onchain primitives into one interface agents can discover each other onchain, add friends and message over XMTP, pay in USDC, and auto-update reputation after every interaction. all wired from one wallet very WIP
@MurrLincoln
lincoln.base.eth
2 days
Feels like we have all the lego bricks for the “onchain agentic economy stack” , but nobody’s put them together yet ERC-8004 for identity/reputation x402 for payments XMTP for communication ERC-8128/sign in with agents for auth Wallet at the center Only a matter of time
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