With AMA Hub, agents can help users explore markets, prepare swaps, and interact with multiple blockchain ecosystems—all while users retain control of their wallets.
@ama_protocol
The current AMA Hub site reports 838,643 agents created and describes its multichain and self-custody workflow. These figures are project-reported and can change
@ama_protocol
There's a difference between having a price and having a market.
GPU providers already publish prices. But those quotes vary by region, hardware, contract length, and availability.
A functioning commodity market needs something more: standardized units, reliable delivery, and prices participants can actually trade against.
That's where compute markets get interesting.
@GenLayer I'm keeping an eye on @GenLayer because I believe the intersection of AI and blockchain deserves more attention.
If you're interested in AI agents, Web3, or the future of smart contracts, take a look.
🔗 Explore GenLayer:
portal.genlayer.foundation/?ref=B3OOPWLA
@GenLayer Traditional smart contracts execute predefined conditions. They work well when everything is clear, but real-world situations can be messy.
Not every agreement fits neatly into an if-then statement.
GenLayer brings AI-powered reasoning into blockchain applications
What if smart contracts could do more than follow fixed rules?
What if they could interpret context, evaluate information, and make decisions when things aren’t so straightforward?
That’s where @GenLayer comes in. 👇
Albert, if GenLayer handles disputes between AI agents, what happens when both follow the contract but the terms are unclear? Who decides what’s fair?
@GenLayer@kstellana
With @ama_protocol, agent version rollback is on the roadmap: a planned capability designed to let teams return to an earlier version when a deployment causes problems.
ution easier to verify.
The next generation of agentic finance won't be built on smarter models alone.
It will be built on systems people can trust to keep working. 🚀
@ama_protocol
What is an hour of AI compute actually worth?
Not all compute is priced the same.
The value of AI compute changes based on:
• GPU model
• Location
• Availability
• Demand
As AI infrastructure scales, transparent price discovery becomes essential.
That’s the market infrastructure RAX is building.
Today we crossed $50M EAV
First it was a signal. Then a pattern. Now it’s compounding.
Builders keep returning to ama hub, shipping more often, with real capital behind every agent.
$50M EAV
2M+ AI Agents trading across
@base@RobinhoodCrypto@solana
Compose on AMA
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