InfoFi (Information Financialization) is an emerging new track in the crypto industry, redefining the value of information through AI and blockchain technology. The core idea is to transform information from static data into tradable financial assets, realizing the monetization of information and the efficient allocation of attention capital. This innovation has injected new vitality into the Web3 ecosystem and provided a new business model for the information economy.

Projects such as KAITO, SoSoValue, and Arkham Intelligence have become the core representatives of the InfoFi track, verifying the potential of information financialization through practice. This article will systematically explore the industry background, market status, technical analysis, representative projects, and future development trends of InfoFi, providing in-depth insights and practical recommendations for investors.

1. Industry Background and Definition

1.1 Definition of InfoFi

InfoFi (Information Financialization) is an emerging concept in the blockchain field, aiming to transform information into tradable financial assets through AI and blockchain technology. The core idea is to transform information from a simple data resource into a tradable financial instrument, forming a new blockchain economic model. In the Web3 ecosystem, InfoFi is positioned as the core component of the information economy, realizing the reallocation and efficient utilization of attention capital through market-driven mechanisms.

1.2 Industry Background

The rise of InfoFi can be traced back to 2023, when the KAITO project first launched an AI-driven search engine, successfully solving the problem of information fragmentation in the crypto market. KAITO's AI technology, by collecting and processing massive data from social media, analysis platforms, thematic forums, and news media, helps investors and traders make decisions quickly and accurately.

This model not only improves the efficiency of information acquisition, but also realizes the monetization of attention and the reward of high-quality content creators through a token incentive mechanism, marking the transition of InfoFi from theoretical concept to practical application, and opening up new possibilities for the information economy in the crypto industry.

1.3 Unique Features of InfoFi

• By combining the production, distribution, and consumption of information through AI and blockchain technology, a closed-loop ecosystem is formed.
• Within the Web3 framework, information is not only a tool, but also an asset.
• Redefining the value of information in the attention economy, incentivizing the creation of high-quality content.

2. Market Status

2.1 Market Size

According to data from CoinGecko and Bankless, as of March 2025, the market size of the InfoFi track has reached billions of dollars. KAITO is the leading project in this track, with a market capitalization of about $360 million and a 24-hour trading volume of $340 million, demonstrating high market activity.

2.2 Application Scenarios

• Investment Decision Support: AI provides real-time market insights to help investors identify trends and opportunities.
• Attention Economy: Rewarding high-quality content creators with tokens, incentivizing information production and sharing.
• Data Monetization: Transforming information into tradable assets, creating new revenue streams.

2.3 Key Participants

The current participants in InfoFi mainly include:

• KAITO: An AI-driven search engine that aggregates dispersed information sources.
• SoSoValue: A crypto investment research platform that provides real-time data and research reports.
• Arkham Intelligence: A blockchain analysis platform that focuses on de-anonymizing on-chain data.

3. Core Project Case Analysis

3.1 KAITO

• Market Performance: As of March 13, 2025, the price is around $1.37, with a market capitalization of $331 million and a 24-hour trading volume of $153 million, demonstrating strong market demand.

• Function: An AI-driven search engine that aggregates data from sources such as social media, forums, and podcasts, providing real-time market insights.
• Model: The $KAITO token is used for governance and community participation incentives. KAITO Pro offers a paid subscription service with a minimum monthly fee of $750, attracting professional investors.
• Market Performance: The $KAITO token is currently priced at $1.45, with a market capitalization of around $360 million and a 24-hour trading volume of $340 million, showing strong performance.

3.2 SoSoValue

• Function: An AI-driven crypto investment research platform that provides real-time market data and research reports, integrating CeFi and DeFi data.
• Model: The SOSO token supports the ecosystem, emphasizing the integration of CeFi and DeFi, and providing low-threshold investment tools. The platform attracts a wide range of users by integrating macroeconomic and crypto-economic data.
• Market Performance: The SOSO token is currently priced at $0.5051, with a market capitalization of $35.6 million and a 24-hour trading volume of $3.54 million.

3.3 Arkham Intelligence

• Function: A blockchain analysis platform that provides de-anonymized on-chain data, including insights into entities and addresses.
• Model: The platform allows users to buy and sell address labels through the Intel Exchange, creating an intelligence market. The ARKM token is used to access advanced features, incentivize platform adoption, and governance.
• Market Performance: The ARKM token is currently priced at **$0.5141**, with a market capitalization of $190 million and a 24-hour trading volume of $81.07 million.

4. Potential InfoFi Application Scenarios

The following are some innovative market scenarios that InfoFi may catalyze, showcasing how InfoFi can break through the boundaries of the traditional crypto economy and create richer forms of value:

1. Narrative-based ETFs

Issuing tokenized asset baskets that track popular themes, such as an "AI Trend Index" or a "Metaverse Hype Portfolio". These ETFs, by capturing market narratives, provide thematic investment tools for investors to quickly enter specific market segments.

2. Creator-backed Financial Products

Tokenizing creators' revenue or future influence, allowing fans to speculate on their growth potential. For example, a token supporting the early development of a popular influencer may appreciate as their influence grows. This model builds a tighter economic connection between creators and fans.

3. Memecoin Derivatives

Designing more sophisticated tools to bet on cultural phenomena, rather than relying solely on traditional crypto token economic models. For instance, creating derivatives based on the life cycle of a cultural trend, capturing the short-term volatility of popular waves, and thereby stimulating more dynamic market trading.

4. Tokenized Media Channels

Subscription-based content platforms can achieve fractional ownership and free trading through tokenization. Users not only consume the platform's content, but can also share in its growth and returns by holding the platform's tokens. This model provides a win-win economic incentive for content creators and consumers.

5. Conclusion

The core of InfoFi is to endow information with genuine financial attributes, commodifying and expanding elements such as attention, narratives, and data into tradable asset classes. It not only inherits the advantages of prediction markets and data trading markets, but also opens up a new market space through a more efficient token economic model and broader application scenarios. The future of InfoFi will be a deep exploration of information monetization, and its potential is worth continuous attention. Investors can focus on ecosystem building and technological progress to capture the overall growth opportunities in this track.