K33 Research, led by Head of Research Vetle Lunde, has established itself as an internationally renowned crypto analytics company, and is now also diving heavily into the new narrative, Krypto plus AI agents.
Since last October, K33 has released several analyses on agentic AI and crypto, the most recent of which was published in the first week of January to date. This analysis focuses more closely on REI, an innovative agent that addresses the significant challenges associated with the integration of artificial intelligence (AI/KI) and blockchains.
This is a series of articles in which Kaupr, as the first Norwegian media company, takes a closer look at how AI and crypto are now converging, including with the help of agentic AI. The first two articles can be found here: Now comes the AI agents: A new industrial revolution? and AI Agents and Crypto: The New Narrative in 2025?
According to the reports of K33 Research, the crypto-AI sector is characterized by a myriad of projects that promise to revolutionize how the world works by combining these two technologies. However, it turns out that the majority of projects so far have been based on basic major language models (LLMs) with little real innovation, or they appear as simple chatbots dressed up as cutting-edge technology, writes K33, who calls for smarter solutions: “In a world of copy-and-paste projects, useful crypto AI products can only come about through innovation.”
The REI framework, developed by 0xREISearch, according to K33, aims to solve the “AI blockchain integration problem” by allowing AI and blockchain to function independently, while communicating seamlessly through structured data exchange. REI's oracle system is the cornerstone of this infrastructure as it addresses the need for AI agents to access and process off-chain data in a seamless manner.
K33 describes traditional blockchains as isolated systems that struggle to integrate external information, limiting their usefulness in real-world applications. REI's oracle bridges this gap by providing agents with access to real-time market data, APIs and other external resources, enhancing their functionality and decision-making abilities.
REI's flagship agent, also called REI (@unit00x0), uses a four-layer cognitive process (Thinking, Reasoning, Deciding, Acting) to provide actionable insights and analyses of blockchain data and market trends. According to K33, this agent stands out by delivering deep and useful analyses as opposed to the superficial solutions that often dominate the market.
Crypto AI has faced a lot of criticism, and for good reason, K33 believes. Many crypto AI agents deployed on Twitter are simply copy-and-paste chatbots, and the resulting spam has led many to start silencing or blocking such accounts. REI Network is one of the few projects that truly challenges the status quo by first seriously addressing the challenges associated with integrations between AI and blockchain technologies.
K33 Research, led by Head of Research Vetle Lunde, has established itself as an internationally renowned crypto analytics company, and is now also diving heavily into the new narrative, Krypto plus AI agents.
Since last October, K33 has released several analyses on agentic AI and crypto, the most recent of which was published in the first week of January to date. This analysis focuses more closely on REI, an innovative agent that addresses the significant challenges associated with the integration of artificial intelligence (AI/KI) and blockchains.
This is a series of articles in which Kaupr, as the first Norwegian media company, takes a closer look at how AI and crypto are now converging, including with the help of agentic AI. The first two articles can be found here: Now comes the AI agents: A new industrial revolution? and AI Agents and Crypto: The New Narrative in 2025?
According to the reports of K33 Research, the crypto-AI sector is characterized by a myriad of projects that promise to revolutionize how the world works by combining these two technologies. However, it turns out that the majority of projects so far have been based on basic major language models (LLMs) with little real innovation, or they appear as simple chatbots dressed up as cutting-edge technology, writes K33, who calls for smarter solutions: “In a world of copy-and-paste projects, useful crypto AI products can only come about through innovation.”
The REI framework, developed by 0xREISearch, according to K33, aims to solve the “AI blockchain integration problem” by allowing AI and blockchain to function independently, while communicating seamlessly through structured data exchange. REI's oracle system is the cornerstone of this infrastructure as it addresses the need for AI agents to access and process off-chain data in a seamless manner.
K33 describes traditional blockchains as isolated systems that struggle to integrate external information, limiting their usefulness in real-world applications. REI's oracle bridges this gap by providing agents with access to real-time market data, APIs and other external resources, enhancing their functionality and decision-making abilities.
REI's flagship agent, also called REI (@unit00x0), uses a four-layer cognitive process (Thinking, Reasoning, Deciding, Acting) to provide actionable insights and analyses of blockchain data and market trends. According to K33, this agent stands out by delivering deep and useful analyses as opposed to the superficial solutions that often dominate the market.
Crypto AI has faced a lot of criticism, and for good reason, K33 believes. Many crypto AI agents deployed on Twitter are simply copy-and-paste chatbots, and the resulting spam has led many to start silencing or blocking such accounts. REI Network is one of the few projects that truly challenges the status quo by first seriously addressing the challenges associated with integrations between AI and blockchain technologies.
