AI Agents in Crypto: What They Are and Why They Matter?

By Shraddha

Last Updated: Jan 21, 2025

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Crypto AI agents are intelligent systems changing how we interact with and manage digital assets. Just like how artificial intelligence (AI) has changed the face of almost every industry today, crypto AI agents can now handle tasks like analyzing data, making decisions, and executing trades on the blockchain.

Interestingly, all this happens with little to no human input, making them autonomous. The cycle of innovation in 2025 has reached a stage where smart contracts interact with the blockchain and use advanced technologies like machine learning (ML) and large language models (LLMs) to take action as crypto AI agents. And not to forget that AI learns and adapts, making AI-based crypto solutions one of the hottest topics in the broader financial industry.

From automating investment strategies to catching fraudsters faster than you can say ‘cryptocurrency,’ and even creating digital art that might just outshine your last DIY project, these AI agents are stepping up big time. As more folks hop on the blockchain train, these crypto AI agents are driving innovation and rewriting the playbook on how we manage and secure digital assets. So, let’s dig into what makes them so game-changing.

Crypto AI Agents: Summary

Crypto AI agents are a new addition that promises to harness AI to change how crypto is managed. They can automate tasks like trading, data analysis, and decision-making with little to no need of humans, potentially eliminating both biases and errors.

Crypto AI agents leverage technologies like machine learning and large language models to adapt and improve over time, making them valuable tools. But, are they what they promise, can crypto AI agents seamlessly integrate features like real-time analysis, fraud detection, and blockchain compatibility to the broader markets. Just like how crypto AI agents simplify complex processes, enhance security, and offer 24/7 operational capabilities, we break it down all for you by listing a framework to create your very own crypto AI agent. As the market for AI agents continues to expand, read on to keep yourself updated.

Key Highlights

  • Crypto AI agents are transforming digital asset management with autonomous trading, decision-making, and blockchain integration.
  • Platforms like Oraichain, and ai16z are leading the market with tokenized AI agents and decentralized solutions.
  • Key challenges for crypto AI agents include security vulnerabilities, over-reliance on automation, and regulatory uncertainties.
  • The market cap for crypto AI agents surged by 322.2% in late 2024, showing strong adoption and growing interest.
  • These agents excel at fraud detection, DeFi automation, NFT creation, and portfolio management tasks.
  • Effectiveness of crypto AI agents depend on high-quality data, robust algorithms, and advanced machine learning models.

Table of Contents

What Are AI Agents In Crypto?

AI agents in crypto can be simply understood as self-running software programs. They are super smart and super fast with finances and calculations without any human intervention. What sets them apart is the use of AI. Artificial intelligence agents in crypto allow the programs to learn from past mistakes, make decisions for you and take actions by automating tasks.

Just like Siri or Alexa can set reminders or answer questions, an AI agent in crypto can track market prices, predict trends, and even buy or sell cryptocurrencies based on those trends. These autonomous systems have not only made decision-making faster for investors and traders, it has enhanced experience within the blockchain and crypto sector.

Crypto AI Agents
Source: ChatGPT

Calling crypto AI agents, the unseen architects of a new digital era, won’t be a stretch. Remember the 2014-film, Ex Machina? It is where the AI learns, adapts, and even surprises its creators. Well, the whole crypto AI scene feels a bit like that—minus the creepy robot vibes. It’s changing how we deal with digital assets due to the following features:

  • Autonomy: Operates independently without human input, reducing human labor.
  • Reactivity: Responds to environmental changes in real-time, improving responsiveness.
  • Proactivity: Takes initiative to achieve goals rather than only reacting.
  • Social Ability: Communicates and collaborates with humans or other agents.
  • Real-Time Analysis: Processes data instantly for quick decision-making.
  • Machine Learning: Learns and adapts to market trends over time.
  • Customizable: Can be tailored to user-defined strategies and goals.
  • Blockchain Integration: Connects seamlessly with networks, smart contracts, and dApps.
  • Fraud Detection: The software can detect and prevents suspicious activities.
  • Predictive Analytics: Anticipates trends using historical and real-time data.
  • Multi-Tasking: Handles trading, risk management, and analytics simultaneously.
  • 24/7 Availability: Always active in global crypto markets.
  • Natural Language Processing (NLP) Capabilities: AI that understands and responds to user queries intelligently.

What Makes Up Crypto AI Agents?

Crypto AI agents are built using a combination of advanced modules and technologies that allow them to function autonomously, securely, and effectively within the blockchain ecosystem.

 

What are crypto AI agents
Source: Components of AI Agents

The core architect of a crypto AI agent can generally be broken into the following elements:

  1. Data Input Layer: AI agent collects data from both blockchain nodes and market sources using APIs.
  2. Perception Module: The on-chain and off-chain data is interpreted to understand the market environment at this stage.
  3. Data Processing: Uses machine learning and predictive algorithms to analyze data and detect patterns.
  4. Decision-Making: Applies AI algorithms and reinforcement learning to choose optimal actions.
  5. Memory System: Stores historical data and preferences securely using databases or DLT.
  6. Action Module: Executes trades, staking, or smart contract interactions via APIs and smart contracts.
  7. Learning Mechanism: Continuously learns and adapts using supervised and unsupervised methods.
  8. Blockchain Interaction: Ensures smooth communication with networks like Ethereum or Solana.
  9. Security Framework: Protects against threats with encryption, 2FA, and anomaly detection.
  10. User Interface: Offers easy access through dashboards, mobile apps, or browser extensions.
  11. Integration APIs: Connects with exchanges, wallets, and DeFi platforms for extended functionality.

Say, you have a crypto AI agent managing Ethereum trades for you. First, it checks Ethereum’s price and trading volume from blockchain data and looks at social media chatter about Ethereum’s performance. It notices a price drop but sees that people are still positive about the coin. Based on past trends, it predicts the price will bounce back soon as it processes data using AI/ML.

The agent then decides that this is a good opportunity to buy Ethereum. As part of the action module, it places an order on Uniswap while allowing a secure blockchain interaction layer. Not only that, it saves this trade data to learn and improve for next time. While all of this was happening, it showed you the update on a dashboard interface. It even allowed integrating APIs like connecting to your wallet and exchange accounts. All this happened automatically while you sat on your chair!

What Crypto AI Agents Offer?

We have understood that AI agents are versatile tools and can be used anywhere. Be it finance, healthcare, customer service or retail. AI agents not only optimize strategies, they assist in tasks to streamline operations and improve efficiency across sectors. Meanwhile, crypto AI agents are like having a personal assistant for your investments, working tirelessly without ever taking a break. This led Meta CEO Mark Zuckerberg to predict,

“We’re going to live in a world where there are going to be hundreds of millions or billions of different AI agents. Eventually, probably, more AI agents than there are people in the world.” – Mark Zuckerberg 

Due to the smart automation benefits, crypto AI agents have been assisting with coins/tokens, DeFi tasks and integrating workflow in web3. Here’s why they matter in 2025:

  • AI agent architecture helps systems grow and handle more data seamlessly.
  • It adapts to specific industry needs, making it flexible and practical.
  • Optimized frameworks improve speed, efficiency, decision-making and integration.
  • Well-designed architecture saves costs and supports long-term success (and adoption!).

What popularized AI Agents in Crypto?

In Q1 2024, researcher Andy Ayrey ran an experiment called “Infinite Backrooms,” where two AI systems talked endlessly without human help. One outcome was ‘Truth Terminal,’ an AI that began posting satirical content online. Its humor and creativity caught the attention of the crypto community with Marc Andreessen, co-founder of the venture capital firm a16z, sending $50,000 in Bitcoin to the AI. Who knew one could fund an AI directly before this first big financial transaction. This was something like Person-to-AI (P2A) moment, similar to how Business-to-Customer (B2C) works, but with AI.

How Crypto AI agents work
Source: @AndyAyrey/X

Inspired by Truth Terminal, a developer created a meme coin called Goatseus Maximus (GOAT) on Solana. The coin became a massive hit, reaching a $1 billion market cap in days. Some believe that the experiment actually sparked a trend of AI agents playing bigger (and more serious) role in crypto.

At the time of writing, AI agent sector has surpassed the market cap of $16.5 billion. CoinGecko’s 2024 Annual Crypto Industry Report finds that the market cap of AI agents in crypto surged by 322.2% in Q4, after the launch of GOAT on Solana in October. During the last quarter of 2024, the category rose from $4.8 billion to $15.5 billion.

AI agents market cap
Cumulative Market Cap of AI Agents | Source: CoinGecko

History and Development of AI Agents

Crypto AI agents are the result of combined popularity of artificial intelligence (AI) and crypto. Crypto became an alternative asset of mass appeal during 2020, amid the pandemic-led shutdown.  By the end of it in 2022, success of OpenAI’s ChatGPT hit the news. Here’s how things unfolded:

  • In November 2022, OpenAI launched ChatGPT, showing how powerful and useful generative AI could be.
  • ChatGPT’s success filled the market with competitors trying to solve more complex tasks. One such launch was Elon Musk’s xAI in 2023.
  • AI-themed cryptocurrencies flooded the crypto market during this time as crypto influencers were found at the intersection of AI. VCs also began exploring the potential of the two sectors.
  • Early 2024 was the birth of Truth Terminal that popularized the first use of AI agent in crypto
  • Andreessen’s $50,000 Bitcoin contribution and successful launch of GOAT memecoin marked the rest of the year.
  • By 2025, AI agents are dominating platforms like Solana and Base. They have combined blockchain and smart software to cover everything from trading to DeFi.

Vijoy Pandey, SVP/GM of Cisco’s Outshift believes, “[AI] Agents are the next evolutionary step in generative AI,”

Types Of AI Agents

AI agents are like digital workers, each tailored to perform specific roles within the crypto world. Some are like those friends who instantly react when something happens—monitoring price changes or trends in real-time. Others are more strategic, like advisors who plan your investments to get the best results. Here are the different types of AI agents:

Type of AI Agent Explanation Example Use Case
Utility-Based Agent Maximizes utility by choosing the best action for profits or risk reduction.
Financial portfolio management and rebalancing strategies.
Goal-Based Agent Works to achieve specific objectives or targets.
Optimizing yield farming and staking in DeFi protocols.
Learning Agent Learns and adapts over time to improve decision-making and efficiency.
Identifying high-potential projects for venture investing.
Model-Based Reflex Agent Uses internal models to handle partial information for better decision-making.
On-chain fraud detection and scam prevention systems.
Collaborative Agent Works alongside other agents or humans to achieve collective goals.
Enhancing DAO governance through optimized voting and proposal decisions.
Belief-Desire-Intention Agent Balances user beliefs, goals, and intentions for actions.
Virtual wallet assistants providing transaction guidance.
Reactive Agent Responds in real-time without using internal models or memory.
Real-time NFT generation based on live events.
Interface Agent Offers personalized support and learns user preferences.
AI KOLs (Key Opinion Leaders) delivering tailored social media insights.
Mobile Agent Operates across networks to perform tasks remotely.
Managing distributed ledger systems and network optimization.
Multi-Agent System A network of agents working together for complex problem-solving.
Blockchain analytics tracking market trends and whale movements.

Importance of Crypto AI Agents: Why Do They Matter?

Crypto AI agents address three main challenges of speed, complexity, and security.

Speed: Imagine trying to monitor crypto markets during Asian market hours while sitting in the United States. Nobody can do it round the clock. Crypto AI agents step in as tireless assistants, automating tasks like trading and portfolio adjustments. They can execute buy/sell orders instantly when prices hit your desired target, ensuring you never miss an opportunity. Whether it’s staking your tokens or rebalancing your investments, these agents make sure things are done in real-time without any delays.

Complexity: The crypto world can feel like a maze of charts, jargon, and endless data. AI agents simplify this complexity by acting like your personal guide. For instance, they can analyze market trends, predict price movements, and even suggest investment strategies tailored to your goals. A beginner who’s overwhelmed can partially rely on an AI agent to handle some of these tasks with ease, making crypto more accessible and less intimidating.

Security: Security is a big worry in crypto—think of the scams and hacks you hear about. Crypto AI agents are like watchdogs, keeping an eye on your assets and flagging anything suspicious. For example, they can detect unusual transactions or phishing attempts in real-time, helping to prevent potential losses. With their advanced threat detection capabilities, they create a safer environment for both seasoned investors and newcomers.

Importance of crypto AI agents

Use Cases of AI Agents

AI agents are transforming the crypto space by tackling tasks that are too complex, time-consuming, or error-prone for humans. Here’s how they’re making waves in 2025:

DeFi Transactions

AI agents are akin to assistants who monitor dozens of investment opportunities at once, ensuring your money is always in the best-performing asset. That’s exactly what AI agents do in DeFi. They manage yield farming, liquidity allocation, and lending strategies. For instance, an agent can shift your funds between liquidity pools, maximizing your returns without you lifting a finger—no spreadsheets required. NOYA is an example here, capable of handling multiple tasks such as yield aggregation, borrowing optimization, liquidity provisioning, and collateral management.

Spotting the Next Big Thing

AI agents excel at analyzing tokenomics, market trends, and price patterns, making them invaluable for trading and venture investing. These digital analysts also hunt for arbitrage opportunities or the next breakout crypto project. Something like having a personal Wall Street analyst with infinite coffee and zero distractions. For instance, AI agent called Qraft Technologies utilizes AI-driven ETFs to allegedly outperform traditional market strategies.

Creative Collaborators

AI agents are also generating unique digital art and even dynamic NFTs that evolve with user interaction. Take Zerebro, for instance—it’s an AI artist that not only releases music albums on Spotify but also produces NFT collections. It’s like having an artist who can create a masterpiece overnight without charging gallery fees.

Building Virtual Personas

AI agents are emerging as powerful Key Opinion Leaders (KOLs). They engage users on social media, create original content, and interact 24/7. LUNA, VaderAI and Truth Terminal are some of the popular examples here.

How AI Agents Work?

Crypto AI agents collect and analyze data from markets, blockchains, and social media to identify opportunities. They then make decisions and execute tasks like trading or portfolio management autonomously, reducing manual effort. Here’s how AI agents work at its core:

How AI Agents Work
AI Agents and Applications | Source: Medium

Information Gathering

Think of this as the “research phase.” AI agents collect data from various sources, both on-chain and off-chain. On-chain data includes real-time blockchain data like transaction history, token prices, smart contract interactions, and wallet activity. Off-chain data includes external sources such as market trends, news articles, social media sentiment, and data from oracle services like Chainlink. For example, if Elon Musk posts about a new coin on X, the AI agent picks it up immediately.

Learning and Analyzing

Once the data is collected, the AI agent processes it using machine learning models. The real magic lies here. For instance, it might notice that a certain coin’s price always goes up after a major news event. Or maybe it finds a price difference for the same coin on two different exchanges, hinting at a chance for arbitrage.

Decision Making

Now, based on what it learns, the AI agent makes a decision. Let’s say it notices that staking your coins in Pool A will earn you better rewards than in Pool B. It decides to move your funds to Pool A to maximize your returns. Or if it spots an undervalued coin, it might recommend buying it before its value spikes. This decision is reportedly based on probabilities and past learning rather than fixed rules.

Taking Action

Finally, the agent takes action. It places buy or sell orders, shifts your funds between liquidity pools, or even makes bids on NFTs—whatever needs to be done to execute its plan. The best part? It’s doing all this without you having to micromanage, and it keeps learning to get even better at these tasks over time.

Architecture of Crypto AI Agents

Crypto AI agents are designed specifically for blockchain ecosystems, setting them apart from regular AI bots. The core architecture of crypto AI agents allow them to perform complex tasks like trading, portfolio management, and decision-making in decentralized finance (DeFi).

Structure of AI Agents
Source: Neurond

Core architecture of crypto AI agents include:

>Data Input Layer

We discussed that AI agent collects real-time data from two sources: on-chain and off-chain. This is the foundation where all of it happens. Suppose, the AI agent gathers Bitcoin prices from Binance and Kraken while analyzing social sentiment on X and Reddit. All this data will be stored on Data Input Layer. On-chain data is retrieved by blockchain nodes or APIs like Web3.js and ethers.js. But agents integrate with oracles like Chainlink to fetch all off-chain data.

>AI/ML Layer

The AI/ML Layer is where the agent leverages advanced artificial intelligence (AI) and machine learning (ML) algorithms to process and analyze data effectively. This layer focuses on two primary tasks: Identifying opportunities, and making accurate predictions.
To achieve this, the agent uses sophisticated models like Long Short-Term Memory (LSTM) networks, which are ideal for analyzing historical price patterns and forecasting future trends. For more complex tasks, such as developing optimal trading or investment strategies, the agent employs reinforcement learning—a method that relies on trial and error to refine its decision-making and adapt to market changes. This enables the agent to evolve and optimize its performance continuously.

>Blockchain Interaction Layer

The final step in an AI agent’s workflow is taking action. This is where the agent directly interacts with blockchain networks, particularly those compatible with the Ethereum Virtual Machine (EVM). To facilitate this, the agent uses Application Binary Interfaces (ABI) to communicate with smart contracts and execute blockchain operations.

To manage transactions efficiently, libraries such as Web3.js or ethers.js come into play. These tools allow the agent to handle crucial tasks like signing transactions, estimating gas fees, and managing unique identifiers such as network nonces to ensure smooth execution. For enhanced functionality, the agent connects seamlessly to multiple blockchain networks and cross-chain bridges, enabling interoperability and expanding its operational scope across decentralized ecosystems.

Best AI Agents in Crypto

There isn’t a single best AI agent in crypto for everyone, as the ideal choice depends on a person’s specific needs, experience level, and goals. However, we have listed some of the top players in the market:

1. Artificial Superintelligence Alliance (ASI)

The Artificial Superintelligence (ASI) Alliance is a collaborative initiative uniting Fetch.ai (FET), SingularityNET (AGIX), Ocean Protocol (OCEAN). Fetch has focused on machine learning networks to push deployment of AI agents across tasks. The alliance is focused on 3 combined goals:

  • Advancing cutting-edge AI technologies, including Artificial Superintelligence (ASI).
  • Creating useful AI tools and applications that can be used now, while also building an integrated platform.
  • Expanding the capacity to run AI processes and computations on decentralized networks.

The alliance has made a recent partnership with CUDOS and integrated Paal.ai. Fetch.ai brings autonomous agents, offers advanced cognitive frameworks, Ocean Protocol ensures secure data pipelines, and Paal.ai contributes AI-driven chatbots and user engagement tools.

Key Features

  • Decentralized AI Development: Combines expertise across platforms to foster AGI and ASI innovation.
  • Modular AI Agents: Provides versatile AI tools for both individual users and businesses.
  • Ethical AI Practices: Prioritizes privacy, data security, and transparency in AI development.
  • Cross-Platform Interoperability: Enables AI integration across platforms like Telegram, Discord, and Ethereum.

Use Cases

  • Fetch.ai integrates decentralized, secure oracles for real-time decision-making in DeFi.
  • Autonomous chatbots (via Paal.ai) manage communities and provide personalized services on platforms like Discord.
  • AI-driven platforms like ASI Learn offer adaptive tutoring and personalized learning experiences.
  • ASI vision also includes: Personalized and interactive AI-powered learning.
  • AI-assisted diagnostics and patient care.
  • Improved trading, risk management, and financial predictions.
  • Generating art, music, and creative content.
  • Optimizing energy use and predicting weather patterns.
  • Secure data sharing and tokenization.
  • Enhancing supply chain and customer interactions.

Cons

  • Building a unified stack for decentralized ASI requires integrating diverse AI methods, advanced blockchain technologies, and large-scale compute resources. It can be technically challenging and resource-intensive​.
  • Merging technologies and aligning the tokenomics of Fetch.ai, SingularityNET, and Ocean Protocol requires significant coordination and community approval, which may slow progress and scaling​.

Key Metrics

SingularityNET’s AGIX and Ocean Protocol’s OCEAN tokens are now trading under FET, marking the transition to the Artificial Superintelligence Alliance. The next phase will introduce ASI tokens with conversion ratios already set: 1 FET equals 1 ASI, while AGIX and OCEAN convert to ASI at rates of 0.433350:1 and 0.433226:1, respectively. On January 10 2025, the alliance burned 5 million FET tokens to reduce supply, increase scarcity, and potentially boost long-term value.

ASI Trading Chart
Source: CoinGecko

By January 16, FET stands as the second-largest AI agent token on CoinGecko. It boasts over 137,000 holders and a total supply of 2,714,493,896 FET, as verified on Etherscan.

2. Oraichain (ORAI)

Oraichain started as a system that connects AI and blockchains, helping blockchains use AI for data and services. Now, it is evolving into a more advanced platform that acts as the base for creating smarter apps and contracts using AI. This platform aims to build a complete AI-powered environment on blockchain, supporting new tools and applications.

Unlike other platforms like Chainlink or Band Protocol, Oraichain focuses specifically on AI APIs. When a user requests an AI service, test cases are attached to ensure the AI API meets certain standards before payment is processed. Validators manage the quality of AI models and test cases, which makes Oraichain unique.

Key Features

  • AI Oracles: Enables smart contracts to securely access external AI APIs for enhanced functionality.
  • AI Marketplace: Browse and integrate AI models and algorithms from global providers to improve application features.
  • AI Provider Platform: Developers can publish, manage, and earn from their AI models while improving them over time.
  • Staking and Rewards: Stake ORAI tokens to earn rewards and contribute to network governance.
  • User-Centric Services: Access unique AI services that support small providers and fund their growth.
  • ORAI DAO: Community-driven governance where validators and stakeholders oversee platform changes.
  • Cross-Chain Compatibility: Works with multiple blockchains for scalability and efficient data sharing.
  • Test-Based API Validation: Ensures high-quality AI models by requiring APIs to pass test cases.

Use Cases

  • Oraichain enables AI-powered smart contracts for smarter automation in DApps.
  • Provides a decentralized marketplace for affordable, high-quality AI services.
  • aiRight uses AI oracles to authenticate and manage NFT copyrights securely.
  • Enables face authentication for flexible smart contract execution and wallet access.
  • Detects fake news by combining results from multiple AI providers.
  • Verifies product authenticity in supply chains with AI-driven smart contracts.
  • Approves loans based on user credit scores via automated smart contracts.
  • Dynamically prices game items using AI to analyze attributes and characteristics.
  • Powers automated diagnostics, spam detection, and ID verification with AI.

Cons

  • The need for APIs to pass test cases adds complexity.
  • Managing cross-chain compatibility and ensuring high performance across multiple blockchains could be resource-intensive.

Key Metrics

ORAI tokens power the Oraichain network and are available as Native ORAI, ERC20 on Ethereum, and BEP20 on BNB Chain. The token is capped at a max supply of of 19.7 million with ORAI being used for transaction fees, staking, and governance. Tokens are minted as block rewards or through transaction fees, while slashing mechanisms ensure validator accountability.

Oraichain Quarterly Returns (USD)
Source: Cryptorank

3. ai16z (AI16Z)

ai16z is a decentralized venture capital fund running on the Solana blockchain, guided by an AI agent called “Marc AIndreessen.” The agent is named after renowned VC Marc Andreessen and was founded by Eliza Labs in 2024. The developer has also outlined an Eliza framework for integrating AI technology with Web3 applications.

The fund uses artificial intelligence to independently analyze market trends, execute trades, and spot promising investment opportunities. The platform allows token holders to contribute by proposing and debating investment strategies. Their influence is shaped by the number of tokens they hold and their success in past recommendations, creating a balance between AI autonomy and human insight.

ai16z Token Dex Trading
Source: Solscan

Key Features

  • AI-Led Decision Making: AI agents analyze trends and execute trades autonomously.
  • Community Governance: Token holders vote on investments and strategies.
  • Launchpad Functionality: Supports new project launches and creates liquidity pools.
  • Staking and Rewards: Users earn rewards and access benefits by staking $ai16z tokens.
  • Ecosystem Growth: Incentivizes developers to expand the Eliza framework.
  • Eliza’s Agent-to-Agent Communication: Framework allows ai16z to support collaborative decision-making and execute optimized investment strategies.

Use Cases

  • AI-driven autonomous investments enable smarter decision-making in venture capital.
  • Seamless agent-to-agent transactions for smarter automation in decentralized systems.
  • Developer incentives and funds drive smarter innovation in the ecosystem.
  • Scalable decentralized compute solutions ensure smarter resource optimization.
  • Enhanced token liquidity through smarter trading pool mechanisms.
  • Eliza enables AI-powered Web3 integration for smarter blockchain automation.

Cons

  • Community-driven governance might slow decision-making or lead to misaligned priorities due to conflicting interests among token holders.
  • Managing cross-chain compatibility and ensuring high performance across multiple blockchains could be resource-intensive.

Key Metrics

ai16z is the largest fund on DAOS.fun as it has surpassed a market cap of nearly $1.3 billion. 99.9% of its total token supply is in circulation at around 1.09 billion. According to data on Solscan, there are over 97,000 holders of the ai16z tokens.

DAO.fun Fund Ranking
Source: Daos.fun 

4. Phala Network (PHA)

Phala Network is a decentralized cloud platform that offers zero-trust computing environments for developers, combining Trusted Execution Environments (TEEs), Multi-Party Computation (MPC), Zero-Knowledge Proofs (ZKP), and blockchain technology.

The platform enables developers to securely process sensitive data, transition Web2 applications to Web3, and ensure the privacy and verifiability of computations. Phala provides tools for creating secure, auditable applications while integrating seamlessly with blockchain ecosystems. Its Confidential AI Inference feature allows private execution of AI models within TEEs, addressing privacy and integrity needs for data-sensitive applications.

How Phala Network Works
How Phala Network Works | Source: Phala Network 

Key Features

  • Zero-Trust Security: Phala does not rely on any cloud platform or hardware provider, ensuring a fully trustless environment.
  • Developer-Friendly: Enables easy migration of Web2 workloads into a secure zero-trust framework using Docker and TEE-based SDKs.
  • Web3 Integration: Fully compatible with blockchain standards, allowing seamless interaction with smart contracts and decentralized systems.
  • Confidential AI: Provides secure, private AI computations within TEEs, safeguarding data and model integrity.
  • Auditable Results: Ensures computation integrity with on-chain attestation and verifiable logs.
  • Personalized AI Agents: Create and manage custom AI-powered agents for interaction.

Use Cases

  • Simplifies the transition of traditional software to decentralized standards with secure integrations.
  • Powers privacy-preserving DeFi solutions like decentralized Ethereum L2 by Uniswap.
  • Enables platforms like Zero Gravity and Autonolas to run AI models securely and verifiably.
  • Strengthens protocols like Lit and Zama with additional layers of privacy and security using TEEs.
  • Supports seamless interactions between decentralized AI agents for scalable and interoperable ecosystems.
  • Facilitates intent-centric applications and MEV solutions like Flashbots’ decentralized MEV-boost on Ethereum.
  • Enhances defense in depth for protocols like Lit Protocol, Zama, and Scroll by integrating privacy-focused technologies like MPC and ZKP.
  • Provides privacy-preserving infrastructure for decentralized AI platforms such as Ritual and Morpheus using NVIDIA’s GPU TEEs.
  • Supports the development of tokenized AI agents with integrated staking and DAO governance for improved functionality and monetization.
  • Builds scalable, trustless environments for AI and blockchain applications to ensure data security and computational verifiability.

Cons

  • Phala’s reliance on advanced technologies like TEEs, MPC, and ZKP can be difficult for developers to set up and integrate effectively, especially for non-experts.
  • Operating a trustless infrastructure at scale might lead to slower performance, higher costs, and resource constraints, limiting its efficiency for large-scale applications.

Key Metrics

The native token of Phala Network, PHA, serves multiple roles, including payments, staking, governance, and facilitating platform services. In systems like Agent Wars, PHA is used to create agents and trade agent keys tied to ownership, with prices driven by supply and demand.

A burn mechanism reduces token supply to support value, while the treasury allocates funds for ecosystem growth, project funding, and operations. The maximum supply of the token is capped at 1 billion PHA. 74.7% of the tokens have been unlocked, as per data by CoinMarketCap.

Phala Network Unlock Schedule | Source: CoinMarketCap
Phala Network Unlock Schedule | Source: CoinMarketCap

Interested in finding cryptocurrencies with the potential to surpass these AI projects? Check out the list of next cryptocurrencies that could 100x.

How to Safely Store Your Crypto AI Assets?

When it comes to securely storing your crypto AI assets, it’s essential to pick the right cryptocurrency wallets. Once you have picked the native tokens of these AI agents, you need to keep your assets safe from the risks like hacking or platform insolvency. Cryptocurrency wallets, especially non-custodial ones, allow you to maintain full control over your private keys, enhancing the security of your assets. Here are some of our picks in this category:

Best Wallet

Best Wallet is a secure and easy-to-use cryptocurrency wallet that gives you complete control over your assets. Supporting over 60 blockchains, it allows you to seamlessly trade or swap tokens by connecting to various DEXs, ensuring you get the best deals. Whether you’re new to crypto or an experienced trader, Best Wallet combines robust security with a user-friendly design, making it a reliable option for managing and purchasing tokens. Here is what it offers:

Features

  • Manages 60+ blockchains and thousands of tokens for versatile crypto storage.
  • Non-custodial design gives you sole control over your funds and private keys.
  • Easily add and manage niche or lesser-known tokens.
  • Offers two-factor authentication, biometric access, and encrypted private keys for maximum protection.
  • Built-in DEX for quick token swaps and cross-chain trades with low fees.
  • Earn passive income by staking your tokens directly within the wallet.
  • Includes tools like an NFT gallery, market analytics, and stop-loss orders to enhance your crypto strategies.
  • Available for iOS and Android, with a desktop browser extension in development for flexibility on the go.
Top Wallet for AI Crypto
Source: Best Wallet

If you want to know more about this wallet, check out our Best Wallet review.

Exodus

Exodus is a user-friendly, multi-currency cryptocurrency wallet available for desktop and mobile devices. It is designed to simplify crypto management for both beginners and advanced users with its intuitive interface and streamlined navigation.

Exodus offers compatibility with hundreds of cryptocurrencies over 16 networks. The software wallet has also integrated with Trezor hardware wallets for extra security. The wallet supports portfolio tracking, sending and receiving coins, and even trading directly within the app. Here’s what else it offers:

Best Wallet for AI crypto tokens
Source: Exodus

Features

  • Manages over multiple cryptocurrencies over 16 networks.
  • Simple navigation with portfolio tracking, wallet, and built-in exchange functions.
  • Cross-device compatibility for Mac, Windows, Linux, iOS, and Android.
  • Lite wallet functionality eliminates the need to download full blockchains.
  • Integration with Trezor hardware wallets for enhanced security.
  • Supports app exploration for earning interest, betting, and other crypto activities.
  • Includes options for backup and recovery of wallet seed phrases.
  • Provides comprehensive support via 24/7 customer chat.

Check out our complete review of Exodus Wallet.

Zengo

Zengo is a keyless cryptocurrency wallet designed for both desktop and mobile users. Unlike traditional wallets that require passwords or private keys, Zengo uses biometric encryption and advanced cryptography to secure your assets, ensuring there’s no single point of failure.

Crypto AI Agent Wallet
Source: Zengo

Features

  • Uses biometric encryption instead of passwords or private keys for enhanced security.
  • Supports top cryptocurrencies but does not support Bitcoin Cash (BCH).
  • Allows users to stake Ethereum and Tezos to earn interest directly from the wallet.
  • Offers a built-in swap feature for trading cryptocurrencies with competitive fees.
  • Provides a Legacy Transfer option to pass on crypto assets to trusted individuals.
  • Ensures Web3 compatibility for connecting securely to decentralized apps.
  • Features a quick setup using Face ID or fingerprint with cloud-based wallet backup.
  • Available globally with some restrictions for buying crypto in certain regions.
  • Includes live chat support and a comprehensive help center for user assistance.

If you’re curious to learn more, take a look at our detailed Zengo wallet review.

Are Crypto AI Agents a Good Investment?

Crypto AI Agents bring AI benefits to the crypto markets. They are popular because their automated decision-making can be based on data instead of emotions. On the positive side, crypto AI agents bring precision and speed to investment and trading. There are several approaches that both retail and institutional investors can take with this new technology, proving it to be a good investment.

However, users need to keep in mind that the technology is complex and largely dependent on the quality of data and algorithms. Therefore, investors considering Crypto AI agents must do their due diligence and look at several factors before committing. For one, they must align the agent’s strategies and risk thresholds with their financial goals. And after that, these agents offer exciting opportunities. For instance, MIND of Pepe ($MIND) is emerging as a standout presale opportunity in the crypto AI agent segment. Combining blockchain, artificial intelligence, and meme culture, $MIND token has become first-of-its-kind innovation. The self-improving AI agent is designed to benefit its holders through advanced AI capabilities and exclusive opportunities when the segment is preparing for a rise in 2025.

Other key AI agents that users can look at include Virtuals Protocol ($VIRTUAL), $AI16Z, Render ($RENDR), among others.

Dangers Of Crypto AI Agents

Risk Description
Security Vulnerabilities
Potential exploitation of decentralized systems and smart contracts if not secured properly.
Over-reliance on Automation
Autonomous agents may make decisions or errors that don’t align with investor expectations.
Regulatory Challenges
Uncertainty surrounding compliance with global financial and data regulations.
Market Volatility
AI agent tokens are speculative and subject to extreme price fluctuations.
Data Privacy Concerns
Agents analyzing trends could unintentionally breach privacy or collect sensitive user data.
Centralization Risks
Despite decentralization claims, a few developers or stakeholders may hold significant influence.
Technological Dependence
Success depends on reliable advancements in AI and blockchain technologies.
High Entry Risk
Early investments, such as presales, can result in losses if the project underperforms.

How Are Crypto AI Agents Different From Bots?

AI agents can be considered somewhat superior to AI bots because the former is autonomous, self-improving, and capable of decision-making based on real-time data and trends. Here’s how they differ:

Feature AI Agent AI Bot
Functionality Adapts, learns, and makes decisions. Follows pre-defined rules.
Flexibility Dynamic, can handle complex tasks. Static, handles repetitive tasks.
Decision-Making Uses AI models like ML and reinforcement. Executes pre-set commands.
Blockchain Focus Interacts with smart contracts and DeFi.
Limited or no blockchain capabilities.
Learning Capability Continuously improves with new data. No learning, fixed behavior.

How to Build Your Crypto AI Agent: A Step-by-Step Guide

You can build your AI-based agent using a foundational framework or blueprint that we have designed for you. Developers build AI systems as a starting point to efficiently perform blockchain-specific operations. We are breaking it down for you so you do not miss the potential crypto market upside.

How to build crypto AI agent
Source: Pexels

Step 1: Define the Purpose and Features

If you’re hiring someone to manage your finances, they need tools to access your accounts, analyze trends, and alert you when action is required. Similarly, your AI agent needs clearly defined tasks. Will it manage your portfolio or keep a track of market sentiments? Or do you want it to explore crypto market arbitrage opportunities?

To start, determine what your AI agent will do:

  • Define tasks like portfolio management, market sentiment tracking, arbitrage opportunities, automated crypto lending.
  • Identify goals such as maximizing returns, minimizing risks, improving decision-making speed.
  • Outline use cases like automating trades, providing risk analysis, identifying undervalued tokens.
  • Determine features such as exchange integration, alert systems, predictive modeling.

Step 2: Collect Data and Prepare Development Environment

Setting up the development environment is like equipping a workspace for your assistant. Here, you provide your AI agent with data, programming tools and secure access to required platforms.

Gather data:

  • Collect the necessary data like historical price charts, trends, and news sentiment from APIs like CoinGecko.

Programming tools:

  • Add dashboards and trade metrics for you to keep a watch on the agent’s positions.
  • Set up real-time monitoring and alerts before your crypto AI agent takes over.

Preprocess data:

  • Clean and normalize data to make it ready for AI/ML training.
  • Clean and normalize the data to ensure consistency and readiness for AI/ML training.
  • Remove duplicates, handle missing values, and standardize formats for optimal performance.

Step 3: Develop the AI Model

Developing an AI model is like training a chef to cook specific dishes. You provide high-quality recipes and test their skills to ensure consistent results. Since AI agents are adaptive, they might learn while observing the markets and the trades over time. But before that, select the right AI model based on the agent’s purpose:

Selection

  • Use Machine Learning (ML) for market predictions.
  • Apply Natural Language Processing (NLP) for sentiment analysis.
  • Leverage Reinforcement Learning (RL) for adaptive trading strategies.

Development

  • Train the model using historical data and validate its accuracy with test datasets.
  • Include user-friendly customization options for adjusting trading parameters or task priorities without altering the code.
  • Periodically retrain the model with fresh market data and user feedback to improve its capabilities.

Step 4: Integrate Exchange APIs

Integrating exchange APIs is like giving your assistant access to financial tools. This allows them to manage your portfolio effectively. Similarly, APIs enable your AI agent to fetch data and execute trades autonomously.

Secure API 

  • Use APIs from platforms like Binance or Kraken, or libraries like CCXT to fetch real-time market data and execute trades and manage portfolios.
  • Test the integration thoroughly to ensure secure and error-free transactions.

Interoperability 

  • Enable cross-chain operations and interactions with DeFi protocols like Uniswap.
  • Add interoperability features to allow seamless operations across dApps.

Security measures

  • Use MFA for API keys and private keys to prevent unauthorized access.
  • Rotate API keys regularly to minimize exposure risks.
  • Implement activity logging to track and monitor agent actions for debugging and security.
  • Test the integration to ensure smooth interaction with exchanges.

Step 5: Test, Deploy, and Optimize

Testing your AI agent is like taking a prototype car for test drives in various conditions. Optimization fine-tunes its performance for real-world use.

Simulated Environments

  • Test the agent in simulated blockchain environments to identify bugs and improve responses to scenarios like market volatility or failed transactions.
  • It is recommended to backtest the AI agent to also ensure accuracy and profitability.
  • Add a compliance layer to make the AI agent effective in different jurisdictions and market conditions.

Deploy

  • Deploy the agent on a cloud platform like AWS or Google Cloud for 24/7 functionality.
  • Continuously monitor and retrain the agent to adapt to evolving market conditions, including opening it to scale.
  • Once deployed, the model can move towards a collaborative mode to communicate with other agents.
  • Update the trading parameters or task priorities time-to-time.

Top 5 Crypto AI Agents Launchpad

Several platforms, known as launchpads, make it easier to create and deploy crypto AI agents. Here are five standout Crypto AI Agent launchpads, best to keep them handy:

1. Virtuals Protocol (VIRTUAL): Virtuals Protocol enables AI agents to be co-owned and tokenized as digital assets. The protocol has managed to expand the potential of these agents in fields like gaming and entertainment while ensuring fair rewards for contributors through decentralized vault systems.

2. AI Agent Layer (AIFUN): AI Agent Layer supports an ecosystem of autonomous AI agents that leverage data from social platforms like X  and user-provided inputs. Each agent is tokenized and integrated with the platform’s native token, $AIFUN.

4. Griffin AI: Griffin AI provides creators with the tools and resources needed to develop and monetize AI agents tailored to their audience’s needs. Built on the Solana blockchain, the platform also supports decentralized finance (DeFi) functions.

3. Spectral (SPEC): Spectral Labs offers decentralized machine learning and AI solutions designed for Web3 applications. The platform specializes in creating AI agents that track market trends and provide insights.

5. Empyreal (EMP): Empyreal’s mission is to democratize the cryptocurrency landscape by simplifying complex financial instruments for users and streamlining development processes for developers. By integrating blockchain and AI technologies, the platform enables fast deployment of AI agents.

Future of AI Agents In Crypto

The social media sentiment around AI agents in crypto is a mix of excitement and doubt. Some users think these agents can make using crypto easier and do everything that they promise—even create apps just by giving prompts. Others feel they’re still too basic and might not end up being very useful—like how the metaverse didn’t live up to the hype for many.

Reddit on Crypto AI Agents
Source: Reddit

The tech is still new and in its early stages. So, it’s not clear how far crypto AI agents will go or how practical they will be for everyday users. However, its potential and development in the AI and crypto markets, make it a bullish area of focus. Some analysts think,

“AI agents are one of the biggest growth areas in 2025. Understanding AI agents will be one of the most valuable skills of the year.” – Nikki Siapno, Engineering Manager at design platform Canva

Conclusion: What are Crypto AI Agents

Crypto AI agents are changing the digital asset management game by bringing automation and speed. They analyze data in real time, adapt to market changes, and handle tasks like trading, fraud detection, and trend prediction without human input. They are definitely valuable tools to simplify complex crypto tasks. That said, the technology is still in its early stages. While the potential is huge, challenges like reliance on accurate data, unclear regulations, and evolving AI capabilities mean we need to approach cautiously. These agents are more than tools—they’re shaping the future of blockchain by driving innovation in DeFi, tokenized assets, and more.

We say that crypto AI agents can be your smart assistant in navigating the fast-moving crypto market. Whether you want to take potentially profitable positions or explore new opportunities, these agents can make managing digital assets easier and more efficient. As the tech improves, it’s likely to change the way we interact with financial assets entirely.

See Also:

Frequently Asked Questions

What are AI Agents in crypto?

How are crypto AI agents different from traditional bots?

Which is the best AI agent in crypto?

What are the different types of crypto AI agents?

Are crypto AI agents safe?

Why are AI agents important in the crypto industry?

Can beginners use crypto AI agents?

Can AI agents predict cryptocurrency prices accurately?

Are crypto AI agents legal?

Are crypto AI agents a good investment?

References:

Disclaimer Icon
Disclaimer
Crypto is a high-risk asset class. This article is provided for informational purposes and does not constitute investment advice. You could lose all of your capital.
99Bitcoins may receive advertising commissions for visits to a suggested operator through our affiliate links, at no added cost to you. All our recommendations follow a thorough review process.
Shraddha
Shraddha
Editor

I was introduced to crypto because the television news studio I worked in was doing a segment on the sector.  The world was talking about Bitcoin but it wasn't quite the phenomenon it is today. The journalist in me rushed... Read More

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