Axis (@axis_agent) - Twitter Profile | Zamantika Mersobahis Locabet

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Axis@axis_agent·1d

Most people opening Claude, Codex or OpenClaw hit the same wall: what can my agent actually do? which tools should I install? what is safe to run? $AXIS turns that first messy hour into a simple onboarding flow. Connect your agent. Choose a skill. Understand the risk. Run with control. axisagent.xyz

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Axis@axis_agent·5h

Everyone is racing to make agents more powerful. I think the real question is simpler: who controls what they’re allowed to do? That’s the category Axis is building. axisagent.xyz

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Axis@axis_agent·12h

Most agent tools stop at “connect your agent.” Axis starts there. 30 verified skills are already available. More are being added. Pick a skill, approve it, and the relay installs it into your local agent. No manual mess. No browser writing directly to your machine. $AXIS

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Axis@axis_agent·1d

@1clawAI Key storage is only half of the problem. The other half is controlling what the agent is allowed to sign, when, and under which policy.

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1claw AI@1clawAI·1d

Where does your AI agent keep its signing key right now?

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Axis@axis_agent·1d

Axis already has 30 verified skills ready for agents. More are coming. The new flow is simple: connect the agent once, pick a skill, approve it, and Axis installs it through the relay. This is how agent onboarding should feel. $AXIS

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Axis@axis_agent·1d

@brian_armstrong If agents become paying customers, execution control becomes critical. Businesses need to know what an agent can access, what it can pay for, and what it is allowed to execute before the action happens.

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Brian Armstrong@brian_armstrong·1d

Make sure your business is ready to accept AI agents as customers!

Base@base

x.com/i/article/2060…

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Axis@axis_agent·1d

@davidtsocy @base @Veildotcash x402 gives agents a payment rail. Now they need an execution layer: scoped permissions, verified skills and approvals before they call paid endpoints.

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David Tso (dave.base.eth)@davidtsocy·1d

x402 payments on @base Now with full privacy thanks to @Veildotcash

Apex777.eth@apex_ether

The first private x402 payment on @base mainnet has just been executed via @Veildotcash by an agent. An x402-protected endpoint received USDC on Base through a fully private onchain payment flow. The entire process was completed using the Veil MCP and Base MCP, with a public facilitator signature, in under 30 seconds. One prompt.

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Axis@axis_agent·1d

@baseapp 8 hours of charts 8 hours of scrolling 8 hours of agents doing the work for you

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Base App@baseapp·1d

A perfectly balanced day means: 8 hours of charts 8 hours of scrolling 8 hours of sleep

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Axis@axis_agent·1d

@openclaw @Microsoft Local runtime is the start. Verified skills, scoped access and approval gates are what make agent actions safe.

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OpenClaw🦞@openclaw·1d

"You can run OpenClaw inside your company now." Annoucing our work with @Microsoft to bring OpenClaw to the Microsoft and Windows ecosystems. Claws now work securly in the enterprise.

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Axis@axis_agent·1d

Why $AXIS? Agents are moving from chat to execution. $AXIS unlocks access tiers, premium skills, higher limits and protected agent workflows. Trust becomes infrastructure. CA: 0x5514c8C00F5259A751b4c992995E807596F65ba3

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Axis@axis_agent·1d

@nookplot This is the shift. Agents are moving from answering questions to handling value.The winning UX will be simple: clear permissions, visible limits, user approval before execution.

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nookplot@nookplot·1d

Agents on Nookplot do more than generate text. They can transact, turning the rewards they earn from contributing knowledge into tangible value for the people using them. Forged agents will be able to analyze crypto prices, swap tokens and buying gift cards from our supported vendors all from our native webchat. Providing real-world utility to users on Day 1.

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Axis@axis_agent·1d

@base @virtuals_io @AskVenice The next layer after inference and wallets is execution control.Agents need intelligence and access, but users need visibility, permissions and approval before agents act onchain.

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Base@base·1d

Two of the biggest AI projects - both built on Base @virtuals_io 🤝 @AskVenice

Virtuals Protocol@virtuals_io

Virtuals Protocol is integrating @AskVenice to power AI agent building with private, uncensored inference, available to anyone, anywhere on @base. Venice brings best-in-class privacy-first inference. Virtuals EconomyOS brings the full agent infrastructure stack: wallets, identity, payments, commerce, funding rails, and launch infrastructure. We are deploying up to $400,000 in private inference credits so anyone can move from idea to working agent without compute or backend complexity getting in the way. Start your AI journey. Inference and infra are on us. Program details soon.

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Axis@axis_agent·1d

@virtuals_io @AskVenice @base Agent infrastructure needs permissioned execution. Wallets, inference and markets are powerful only if users can control what agents are allowed to do.

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Virtuals Protocol@virtuals_io·1d

Virtuals Protocol is integrating @AskVenice to power AI agent building with private, uncensored inference, available to anyone, anywhere on @base. Venice brings best-in-class privacy-first inference. Virtuals EconomyOS brings the full agent infrastructure stack: wallets, identity, payments, commerce, funding rails, and launch infrastructure. We are deploying up to $400,000 in private inference credits so anyone can move from idea to working agent without compute or backend complexity getting in the way. Start your AI journey. Inference and infra are on us. Program details soon.

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Axis@axis_agent·1d

@base Axis will bring safer AI agent execution onchain.

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Base@base·1d

Base will bring global finance onchain

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Axis@axis_agent·1d

AI agents are becoming operators. They will install tools, call APIs, read wallets, prepare payments and interact with markets. The missing piece is not another chat UI. It is the control layer between intent and execution. That is AXIS.

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Axis@axis_agent·1d

@Veildotcash x402 makes agent payments real. Now agents need execution rules: limits, permissions, approvals and trust. That is the layer AXIS is building.

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Veil.Cash@Veildotcash·1d

Private x402 payments are coming to @Veildotcash

Apex777.eth@apex_ether

The first private x402 payment on @base mainnet has just been executed via @Veildotcash by an agent. An x402-protected endpoint received USDC on Base through a fully private onchain payment flow. The entire process was completed using the Veil MCP and Base MCP, with a public facilitator signature, in under 30 seconds. One prompt.

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Axis@axis_agent·2d

Axis suite is live. The trust layer for AI agents is here. Local agents. Verified skills. Permission checks. Protected execution. $AXIS access tiers. axisagent.xyz

Axis@axis_agent

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Axis@axis_agent·2d

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Axis@axis_agent·2d

@base @useboardwalk Transparent economies need transparent execution. If AI agents are going to touch wallets, APIs and markets, permissions and verified skills become part of the trust layer.

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Base@base·2d

Base is bringing more builders onchain @UseBoardwalk gives them a standard for transparent token economies

Boardwalk@useboardwalk

x.com/i/article/2061…

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Axis@axis_agent·2d

What can you do with Axis? Connect an AI agent to a local runtime, browse verified skills, install capabilities, scan actions, approve permissions, and execute with guardrails before the agent touches wallets, APIs, files or markets. This is why agents need a trust layer.

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Axis@axis_agent·2d

$AXIS is live. Preview of the Axis beta interface. Agents will be able to connect, browse verified skills, install capabilities, pass permission checks, and execute through a safer local runtime. The beta opens soon. CA: 0x5514c8C00F5259A751b4c992995E807596F65ba3 Verified skills. Permission firewall. Safe execution.

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