I have found that many AI projects recently are focused on complicated models, parameters, and large vocabularies, but what OlaXBT is doing is quite "pragmatic" — they want to make AI agents accessible, operational for ordinary users, and even capable of generating income.
They have launched MCP Space, a no-code visual platform that allows anyone to build their own trading agents. Next, they will introduce something called "Intelligent Data Vault," which will integrate data authorization, asset management, and agency execution. This means that in the future, you could even let AI automatically run strategies and manage risks, truly becoming an “agent” on the blockchain.
Behind all these actions is the token $AIO . Nodes need to stake it, use it to subscribe to strategies, participate in profit-sharing, and governance, and it will also be used for circulation and trading in the future agent market. In this system, AIO is not just a means of payment; it acts more like a credit certificate in the “agent economy.”
OlaXBT is also exploring RWA scenarios, trying to use AI to analyze company financial reports, conference call tones, and hot data fluctuations, generating trading tips. What it is exploring is not just "trading with AI," but enabling AI to make “trading judgments” on its own, even executing on-chain. This is a rhythm that cannot be achieved in traditional finance.
Overall, OlaXBT's design resembles an operational layer of an AI-native ecosystem. It does not emphasize "who is the smartest," but rather creates a tool framework that allows more people to “let AI work for you.” It is relatively ahead in the two major trends of agent economy and data asset ownership, and it is more grounded.
For projects like this, I have a positive outlook. They may not explode immediately, but once they gain traction, they will become a foundational logic. Moving slowly, it is definitely worth watching.
They have launched MCP Space, a no-code visual platform that allows anyone to build their own trading agents. Next, they will introduce something called "Intelligent Data Vault," which will integrate data authorization, asset management, and agency execution. This means that in the future, you could even let AI automatically run strategies and manage risks, truly becoming an “agent” on the blockchain.
Behind all these actions is the token $AIO . Nodes need to stake it, use it to subscribe to strategies, participate in profit-sharing, and governance, and it will also be used for circulation and trading in the future agent market. In this system, AIO is not just a means of payment; it acts more like a credit certificate in the “agent economy.”
OlaXBT is also exploring RWA scenarios, trying to use AI to analyze company financial reports, conference call tones, and hot data fluctuations, generating trading tips. What it is exploring is not just "trading with AI," but enabling AI to make “trading judgments” on its own, even executing on-chain. This is a rhythm that cannot be achieved in traditional finance.
Overall, OlaXBT's design resembles an operational layer of an AI-native ecosystem. It does not emphasize "who is the smartest," but rather creates a tool framework that allows more people to “let AI work for you.” It is relatively ahead in the two major trends of agent economy and data asset ownership, and it is more grounded.
For projects like this, I have a positive outlook. They may not explode immediately, but once they gain traction, they will become a foundational logic. Moving slowly, it is definitely worth watching.
Disclaimer: Includes third-party opinions. No financial advice. May include sponsored content. See T&Cs.
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