The local trust layer for AI agents.
Verified skills. Permission firewall. Safe execution.
0x5514c8C00F5259A751b4c992995E807596F65ba3
Powered by $AXIS.
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.
https://t.co/OMJsayhgUA
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.
https://t.co/WUmgK4y7xe
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
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
@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.
@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.
@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.
@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.
@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.
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.
@Veildotcash x402 makes agent payments real.
Now agents need execution rules:
limits, permissions, approvals and trust.
That is the layer AXIS is building.
Axis suite is live.
The trust layer for AI agents is here.
Local agents.
Verified skills.
Permission checks.
Protected execution.
$AXIS access tiers.
https://t.co/X58yQA5HDZ
@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.
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.
$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.