10 Best AI InfoFi Radars Like Kaito to Watch in 2026

This article will look into the best AI-powered InfoFi Radars, like Kaito, that let users analyze crypto social sub-trends and natural language signals.

These applications use various data sources, including social data, blockchain data and A.I., to simplify crypto market research.

I will compare their core functions, intellectual insights, data sources and other aspects to help users make informed research and data analysis in Web 3.

Key Points & Top AI-Powered InfoFi Radars like Kaito  

• Cookie3: AI-driven Web3 analytics tracks communities, campaigns, audiences, and user engagement.
• LunarCrush: AI-powered social intelligence platform analyzing crypto sentiment, engagement, trends, and communities.
• AIXBT: AI crypto intelligence platform tracking market narratives, trends, and emerging opportunities.
• Messari Copilot: AI research assistant providing crypto market analysis, insights, and project information.
• Arkham Intelligence: Blockchain intelligence platform tracking wallets, entities, transactions, and digital-asset movements.
• Santiment: Crypto analytics platform monitoring on-chain activity, social sentiment, development, and market trends.
• Token Metrics: AI-powered crypto analytics platform offering ratings, predictions, research, and portfolio insights.
• Intellectia AI: AI financial intelligence platform analyzing markets, investments, cryptocurrencies, and emerging opportunities.
• The Tie: Institutional crypto intelligence platform covering markets, sentiment, news, and digital assets.
• DexCheck AI: AI-powered blockchain analytics platform tracking wallets, DEX activity, tokens, and transactions.

10 Top AI-Powered InfoFi Radars like Kaito  

1. Cookie3 (Cookie.fun)

Cookie3 is a web-based application that helps its users understand the narrative and attention shifts that occur within the cryptocurrency markets. It uses large scale social and behavioral data to help its users identify and navigate cryptocurrency market trends.

The data used to power Cookie3 is harvested from a number of different sources including traditional social data, cryptocurrency market data, blockchain data, and traditional web data. Cookie3 seeks to help its users understand social data to the extent that it helps them uncover user behavioral data.

To that end, Cookie3 seeks to help its users identify user behavioral data that exists social data. In addition, Cookie3 helps its users evaluate Key Opinion Leader’s social data and behavioral data. Cookie3 helps its users analyze and understand the aforementioned data by uncovering research opportunities, user behaviors, and user narratives.

Cookie3 Features

• AI-Powered Analytics: Uses AI-driven analytics to interpret Web3 user behavior and marketing data.
• Community Tracking: Monitors community activity to identify engagement patterns and audience interests.
• Campaign Analysis: Measures campaign performance across different Web3 marketing channels and initiatives.
• Audience Insights: Helps projects understand user segments, engagement levels, and conversion opportunities.

Point	Explanation
Core AI Capability	AI-powered Web3 analytics connects social attention with on-chain user behavior.
Data Sources	Uses wallet activity, social engagement, KOL activity, campaigns, and blockchain data.
Key Intelligence	Identifies influential creators, audience quality, campaign impact, and emerging crypto narratives.
Practical Use	Useful for tracking Web3 communities, KOL performance, campaigns, and user conversions.

2. LunarCrush

LunarCrush provides social data to help its users understand the traditional data and narrative shifts that occur within the cryptocurrency markets. LunarCrush helps its users achieve this aim by aggregating, organizing, and interpreting social data.

The data sources relied upon by LunarCrush include social data, web data, market data, news data, and traditional data. Some of the data signals used and analyzed by LunarCrush include social data and market data.

The data signals analyzed by LunarCrush allow its users to identify shifts in market attention and help its users analyze market trends, gain insight into social data, identify social data and behavioral data shifts, and glean social data and behavioral data.

LunarCrush Features

• Social Intelligence: Analyzes social activity to identify cryptocurrency trends and market sentiment.
• Community Insights: Tracks engagement and conversations across crypto-related social communities.
• Market Signals: Helps identify emerging assets, narratives, and changes in investor attention.
• AI Analytics: Uses data-driven intelligence to simplify cryptocurrency research and discovery.

Point	Explanation
Core AI Capability	AI-driven social intelligence analyzes crypto conversations and market attention.
Data Sources	Collects social posts, engagement, news, creator activity, market, and sentiment data.
Key Intelligence	Highlights social momentum, sentiment changes, trending assets, and influential creators.
Practical Use	Helps researchers monitor crypto narratives, community activity, and changing market attention.

3. AIXBT

AIXBT is a crypto intelligence platform built on AI. It is focused on analyzing public data and market activity. AIXBT is able to analyze and compose relevant data from large sets of information. It does this by analyzing public data such as social activities and market activities involved with crypto assets and projects.

The main focus of the intelligence layer in AIXBT is to identify emerging discussions and activities. Thus, giving an advantage to researchers and traders to help analyze and extract relevant information in the field of Crypto. AIXBT is an information warfare (InfoFi) radar. It helps identify and analyze trending and/or emerging topics.

AIXBT Features

• AI Market Intelligence: Uses AI to analyze crypto markets, narratives, and emerging opportunities.
• Narrative Tracking: Identifies trending discussions and developing narratives across cryptocurrency markets.
• Real-Time Insights: Processes market information to provide timely intelligence for crypto research.
• Opportunity Discovery: Helps users identify potentially important projects and market developments.

Point	Explanation
Core AI Capability	AI processes crypto information to identify emerging narratives and market signals.
Data Sources	Analyzes public social discussions, crypto information, market activity, and project developments.
Key Intelligence	Surfaces trending narratives, notable discussions, projects, and shifts in market attention.
Practical Use	Helps users discover emerging crypto narratives and research market developments faster.

4. Messari Copilot

As part of its suite of products, Messari Copilot integrates AI-based research to automate and streamline users’ interaction with Messari’s crypto data. Copilot allows users to generate AI-based queries to assess crypto assets, information and activities.

Copilot integrates with various Messari datasets, research, news, fundraising, and programmable finance datasets. By integrating structured datasets with analysis and research, Copilot enables users to assess, compare and analyses datasets associated with projects, metrics and subsectors within the crypto space.

An example is assessing and screening crypto assets based on research and activities within a particular crypto protocol. Copilot assists and automates research and analysis. Copilot is available on the Messari website and integrated with Messari’s research and datasets, Signals and offerings.

Messari Copilot Features

• AI-Powered Research: Uses AI to assist users with cryptocurrency research and analysis.
• Crypto Data Access: Provides insights using extensive blockchain, market, and project information.
• Research Assistance: Helps users investigate protocols, tokens, sectors, and market developments.
• Data Interpretation: Converts complex crypto information into more accessible analytical insights.

Point	Explanation
Core AI Capability	AI-assisted crypto research enables natural-language analysis of blockchain information.
Data Sources	Uses crypto metrics, protocol data, research, market information, and ecosystem datasets.
Key Intelligence	Provides project comparisons, protocol research, asset analysis, and sector-level insights.
Practical Use	Helps researchers investigate protocols, compare assets, and explore crypto markets efficiently.

5. Arkham Intelligence

Arkham Intelligence utilizes blockchain analytics and AI to analyze wallet activity and produces financial intelligence on specific entities. Arkham identifies and analyzes factors that influence financial decisions and uses AI to determine potential market opportunities and threats.

Arkham reviews a range of financial data from on-chain transactions and wallets to off-chain data like market data, news and public opinion. Arkham produces financial profiles on entities and wallets and identifies transactions and flow of capital. Using its AI

Arkham Identifies significant market events, analyzes options and derivatives, and summarizes events related to market activity. Using Arkham’s tools, users can investigate whale transactions, analyze entity and market activity, monitor financial catalysts, and create individualized financial dashboards.

Arkham Intelligence Features

• Entity Identification: Links blockchain addresses with known entities and organizations.
• Wallet Intelligence: Tracks wallet holdings, balances, and transaction activity across supported networks.
• Transaction Tracking: Helps users investigate significant blockchain transfers and asset movements.
• Blockchain Investigations: Provides tools for researching on-chain activity and crypto entities.

Point	Explanation
Core AI Capability	AI-powered blockchain research interprets wallet activity through natural-language queries.
Data Sources	Uses wallet labels, Smart Money activity, token movements, portfolios, and blockchain data.
Key Intelligence	Identifies Smart Money behavior, wallet movements, token flows, and emerging trends.
Practical Use	Helps users monitor whales, investigate wallets, research tokens, and track portfolios.

6. Santiment

Santiment collects various types of data to create comprehensive crypto market intelligence. Their analysis goes beyond simple price movement data. Tradelapse is their signature analysis that creates visualizations with data drawn from numerous sources.

Traditional data sources include price data, social data, blockchain data, and exchange data. Recently, development data has been included in their analysis. Tradelapse identifies thousands of data points. The most notable data points are addresses and transactions.

Some other notable data points are social volume and social dominance, as well as development and MVRV data. Santiment’s analysis is fully integrable with their chatbots. Traditional analysis involves sentiment and behavioral assessment. The chatbots and Tradelapse integration allow users to assess exchange data and social data.

Santiment Features

• Social Analytics: Measures cryptocurrency social activity and investor sentiment across digital communities.
• On-Chain Data: Tracks blockchain activity to identify behavioral and market patterns.
• Development Tracking: Monitors development activity to evaluate ongoing project progress.
• Narrative Detection: Identifies emerging crypto trends by combining social and blockchain signals.

Point	Explanation
Core AI Capability	Combines AI-assisted analysis with on-chain, social, market, and development metrics.
Data Sources	Uses blockchain activity, exchange flows, social data, market metrics, and GitHub activity.
Key Intelligence	Tracks sentiment, whale behavior, network activity, exchange flows, and development trends.
Practical Use	Helps researchers identify market shifts, unusual activity, narratives, and ecosystem trends.

7. Token Metrics

In 2026, Token Metrics truncated its analytics platform and shifted resources to develop on-chain indices. According to the company, it is developing a suite of crypto market indices and is focused on the TM100 index.

Prior to this development, Token Metrics offered an AI-powered analytics platform that integrated token ratings and market analysis, equipped with trading signals and other fundamental and technical analysis. As with other InfoFi companies

Token Metrics also developed its on-chain analytical products to offer index-based and index services. Thus, for an up to date InfoFi comparison, focus should be on Token Metrics’ transformation to an on-chain index and services company, as opposed to evaluating its now discontinued AI analytics platform.

Token Metrics Features

• AI Crypto Analysis: Uses artificial intelligence to analyze cryptocurrency markets and digital assets.
• Token Ratings: Provides analytical ratings designed to help compare cryptocurrency opportunities.
• Price Predictions: Offers AI-based forecasting tools for evaluating potential market movements.
• Portfolio Insights: Supports investors with data-driven tools for cryptocurrency research and portfolio analysis.

Point	Explanation
Core AI Capability	Its current focus centers on crypto market indices and on-chain intelligence.
Data Sources	Uses on-chain market information and datasets supporting its index-focused products.
Key Intelligence	Provides index-based views of crypto-market performance and asset exposure.
Practical Use	Useful for monitoring index performance and researching broader crypto-market trends.

8. Intellectia AI

Intellectia AI is a Fintech platform that integrates research and analysis driven by artificial intelligence (AI) and machine learning (ML) in financial markets (traditional and digital) and assets. Its AI is used for screening, research, signaling, and tracking.

Data encompasses market activity and prices, news, financial information, and other investment signals. intelligence includes radar signals for crypto, AI-based research, pattern detection, and other screeners.

The primary function of the platform is to enable users to track and monitor financial markets, and to be notified when particular events occur. Users can also set up AI assistants to monitor specific financial data and get notified when events occur.

Intellectia AI Features

• AI Market Research: Uses AI to analyze financial markets and investment-related information.
• Crypto Intelligence: Provides automated insights into cryptocurrency markets, assets, and trends.
• Data Analysis: Processes large amounts of financial information to identify relevant signals.
• Investment Assistance: Helps users organize research and evaluate potential investment opportunities.

Point	Explanation
Core AI Capability	AI-powered financial research combines market analysis, screening, signals, and monitoring.
Data Sources	Uses market prices, technical patterns, news, crypto information, and investment signals.
Key Intelligence	Identifies market patterns, crypto signals, investment opportunities, and relevant market developments.
Practical Use	Helps users screen assets, research markets, monitor signals, and receive alerts

9. The Tie

Intellectia AI provides an edge through AI-powered equity and crypto research and trade analysis. The platform utilizes AI to help perform research, identify patterns, and signals. AI technology enables researchers to perform continuous market screening and pattern identification.

The platform provides a research assistant tool. Data encompasses different equity and crypto market attributes. The platform provides crypto pattern identification and screener tools along with market research assistant technology and trade alerts.

The platform allows users to set up research assignments and alerts to monitor specific data and be notified when specific conditions are satisfied.

The Tie Features

• Institutional Intelligence: Provides cryptocurrency intelligence designed for professional and institutional market participants.
• Market Insights: Analyzes digital-asset markets to identify important trends and developments.
• Sentiment Analysis: Tracks investor sentiment and market perception surrounding cryptocurrencies.
• News Monitoring: Aggregates relevant crypto news and information for market research.

Point	Explanation
Core AI Capability	AI-powered crypto intelligence analyzes market, social, and digital-asset information.
Data Sources	Combines market data, social sentiment, news, blockchain metrics, and institutional datasets.
Key Intelligence	Identifies market trends, sentiment shifts, asset activity, and emerging crypto narratives.
Practical Use	Helps investors, institutions, and researchers monitor markets and evaluate digital-asset developments.

10. DexCheck AI

DexCheck AI employs several emerging technologies, such as AI, InfoFi, DeFi, and on-chain analytics. With its proprietary data engine, it creates trading, narrative, wallet, and market intelligence from data pertaining to various blockchain activities and transactions.

Beyond blockchain data, it uses and analyzes additional data from social and market activities. Some examples of the intelligence it provides include Smart Money

Whales and wallets, as well as Token and narrative analyses. It also uses data and intelligence from social and market activities to identify and analyze influencers and provide insights through artificial intelligence.

It creates an Attention Index by combining data and analyzing mentions, influence, sentiment, and market activities of tokens. Its services enable customers to analyze Whales, identify and analyze market narratives, assess Tokens, and research and analyze key social activities and market participants.

DexCheck AI Features

• On-Chain Analytics: Analyzes blockchain activity to provide insights into decentralized markets.
• Wallet Tracking: Monitors wallet behavior, holdings, transactions, and trading activity.
• DEX Intelligence: Tracks decentralized exchange activity and token market movements.
• AI Insights: Uses AI-driven analysis to simplify blockchain research and market discovery.

Point	Explanation
Core AI Capability	AI-powered on-chain intelligence analyzes trading activity, narratives, wallets, and markets.
Data Sources	Uses DEX transactions, wallet activity, Smart Money, KOL data, and sentiment signals.
Key Intelligence	Tracks whales, Smart Money, token narratives, influencers, sentiment, and market attention.
Practical Use	Helps users discover tokens, monitor wallets, track narratives, and research market activity.

Conclusion

In Summary Kaito and other radars offered by InfoFi provide users with an edge when interacting with web 3.0 data. There are several tools, like Cookie3, LunarCrush, and AIXBT, which provide users with social data.

Other tools, like Nansen AI, Arkham, Santiment, and DexCheck, provide users with data sets that incorporate on-chain financial data.

Users must understand each tool’s data framework and artificial intelligence in order to create a narrative to interpret and analyze the data to further their overall understanding of the tool.

FAQ