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Build the Future of Crypto Trading: Integrating Token Metrics with LangChain for Smarter Crypto Decisions

A seamless integration with LangChain – a popular framework for building context-aware agents using large language models (LLMs).
Token Metrics Team
8 min
MIN

The rise of AI in crypto trading has opened new frontiers, and Token Metrics is leading the charge by enabling developers to build intelligent trading agents using its powerful API. The latest innovation? A seamless integration with LangChain – a popular framework for building context-aware agents using large language models (LLMs). In this blog post, we’ll break down how this integration works, what it enables, and why it represents a game-changing leap in automated crypto analysis.

What is LangChain?

LangChain is an open-source framework that helps developers build applications powered by large language models like Gemini, Claude, and OpenAI. It enables developers to build a wide range of advanced AI solutions, including:

  • Conversational agents
  • Retrieval-based question answering
  • Tool-using AI agents
  • Autonomous decision-making bots

By providing a flexible structure, LangChain makes it easy to integrate LLMs with real-world data sources and external tools, empowering your application to both reason and take action.

What is the Token Metrics API?

The Token Metrics API is a rich data layer for crypto investors, analysts, and builders. It provides real-time and historical data across:

  • AI-powered Trader and Investor Grades
  • Daily/Hourly OHLCV metrics
  • Bullish/Bearish AI signals
  • Quantitative indicators
  • Curated Crypto Indices

With over 80 data points per token and robust filtering, the API makes it easy to identify profitable tokens, spot market trends, and build intelligent trading strategies.

Why Combine LangChain and Token Metrics?

Combining LangChain with Token Metrics lets you build AI-powered crypto agents that deliver market analysis and actionable insights. These agents can:

  • Analyze crypto prices, trends, and sentiment using AI-driven methods
  • Apply predefined strategies or custom logic for automated decision making
  • Generates clear, human-readable insights and trading signals
  • Identify and highlight tokens with strong profit potential

This integration equips your crypto applications with intelligent, data-driven capabilities to support smarter trading and research.

Getting Started: Building the Agent

The integration process begins with cloning a GitHub repository (public upon video release), which includes everything needed to run a Token Metrics x LangChain demo agent. After installing the dependencies and opening the codebase in a code editor, you’ll find a fully documented README that walks you through the setup.

Step 1: Install Dependencies 

Navigate to the project directory and install the required packages using:

Step 2: Configure Environment Variables

Before spinning up the agent, add your Token Metrics API key and your LLM API key (Openai, gemini, etc..) to the .env file. These credentials authorize the agent to access both Token Metrics and your chosen LLM.

Step 3: Define and Run the Agent 

The agent logic is explained directly in the README and starter code sample, making it easy to follow and customize. You’ll find clear instructions and code snippets that guide you through setting up the agent’s capabilities.

The agent supports two main modes:

  • Simple Agent: A straightforward agent that answers user questions using Token Metrics tools. It’s ideal for quick queries and basic crypto research tasks.
  • Advanced Agent: A more powerful agent capable of reasoning through complex tasks, chaining together multiple tools, and providing deeper analysis. This agent can handle multi-step queries and deliver more comprehensive insights.

Powered by LangChain’s ReAct (Reasoning + Acting) framework, your agent can:

  • Access a suite of Token Metrics tools for crypto analysis, including price data, trading signals, grades, and sentiment
  • Apply predefined strategies or custom logic for automated decision-making
  • Generate clear, human-readable insights and trading signals
  • Filter and highlight tokens based on objective, data-driven criteria

With comprehensive documentation and step-by-step guidance in the README, you can quickly build, customize, and deploy your own intelligent crypto research assistant—no separate agent.py file required.

A Real-World Example: Finding Winning Tokens

Here’s how the agent works in practice:

  • It queries tokens with a valid Trader Grade
  • Filters tokens with Bullish AI signals
  • Compares Trading Signal ROI vs Holding ROI
  • Filters out tokens that aren’t outperforming with active trading

In the test case, it identifies BANANAS S31 as a top candidate:

  • High trader grade
  • Bullish signal
  • Strong Trading Signal ROI (better than holding)

At the end of its analysis, the bot outputs a summary of:

  • Overall market sentiment
  • Top token opportunities
  • Macro-level recommendations

In this case, while BANANAS S31 stood out, the overall market leaned neutral with a slight long-term bearish bias, a useful snapshot for any trader.

Switching to the Advanced Agent

LangChain’s flexibility allows the same bot to switch into an interactive chatbot by attaching memory to the agent. Users can now type in:

“What are the top 3 tokens to watch today?”
“Is the market bullish or bearish?”
“Give me DeFi tokens with bullish signals.”

The agent can dynamically select and chain together specialized crypto analysis tools in response to your questions. This means the agent doesn’t just answer queries with static information but it actively pulls the latest Token Metrics data, applies AI-driven analytics, and synthesizes insights using multiple sources and methods. 

As a result, you will get clear, context-aware responses about market trends, trading signals, token performance, and more. All grounded by the Token Metrics APIs

Key Benefits of This Integration

Here’s why this LangChain x Token Metrics setup is a big deal:

✅ AI That Acts

LangChain agents go beyond conversation—they can autonomously scan and analyze crypto markets using a suite of Token Metrics tools.

✅ Actionable Data

Token Metrics transforms complex market data into actionable insights, empowering the agent to support smarter trading and investment decisions.

✅ Current Market Analysis

Every time the agent runs, it draws on up-to-date Token Metrics data, ensuring responses reflect the latest market conditions.

✅ Fully Customizable

Tailor the agent to your needs, filter by DeFi tokens, set custom ROI thresholds, or incorporate additional data sources like social sentiment. The open-source codebase makes it easy to adapt the agent for any use case

What Can You Build With This?

This framework provides a versatile foundation for a wide range of crypto applications, including:

  • Personal trading assistants
  • Crypto Telegram bots
  • LLM-integrated crypto dashboards
  • Quant strategy testers
  • AI-powered newsletters and daily briefs

By combining a powerful API with a reasoning engine, you unlock a new frontier in crypto intelligence.

Final Thoughts

The integration of Token Metrics with LangChain shows what’s possible when deep crypto analytics meets autonomous reasoning. Instead of flipping between dashboards, you can build an agent that does the research for you, surfaces profitable tokens, and delivers daily alpha—automatically.

Whether you’re a developer, trader, or AI enthusiast, this setup gives you a robust foundation to experiment, build, and push the future of AI trading forward.

Try It Yourself

Once the repository is public, you’ll be able to:

  • Clone it from GitHub
  • Add your API keys
  • Customize your agent
  • Start generating automated crypto insights today

Click here to view the demo.

AI agents are the future of trading—and with Token Metrics and LangChain, the future is already here.

Build Smarter Crypto Apps &
AI Agents in Minutes, Not Months
Real-time prices, trading signals, and on-chain insights all from one powerful API.
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Token Metrics Team
Token Metrics Team

Recent Posts

Research

How to Find Hidden Crypto Gems with 100x Potential (Step-by-Step Guide) | Token Metrics Moonshots

Token Metrics Team
8 min
MIN

In the fast-paced world of cryptocurrency, discovering hidden gems—often called moonshots—can lead to life-changing returns. But the real challenge lies in separating hype from actual potential. In this guide, we’ll break down what crypto moonshots are, how they work, and how you can use Token Metrics to reliably find tokens with 100x upside.

What Are Moonshot Tokens?

The term moonshot comes from the idea of a crypto token “going to the moon,” or rapidly increasing in price. These are usually low-cap tokens with a compelling narrative, innovative technology, or early-stage market presence that give them high upside potential.

Key Characteristics of Moonshot Tokens:

  • Market Cap Below $50M – Smaller market caps have more room to grow.
  • High Risk / High Reward – Volatility is expected, but the upside can be enormous.
  • Early Entry – Timing matters. Getting in early before mainstream awareness is key.
  • Backed by Fundamentals – Even moonshots need solid technology, use cases, or backing.

How Do Crypto Moonshots Work?

Moonshots rely on the combination of innovation, market timing, and community adoption. They often start unnoticed, then experience exponential growth once crypto traders and influencers catch on.

The Lifecycle of a Typical Moonshot:

  1. Discovery Phase – A few savvy investors or analysts spot the token.
  2. Accumulation Phase – Early adopters buy in quietly, keeping prices low.
  3. Breakout Phase – News spreads, and trading volume spikes.
  4. Parabolic Run – FOMO (Fear of Missing Out) kicks in, driving price up rapidly.
  5. Profit-Taking or Collapse – Smart traders exit with gains; latecomers may be left holding the bag.

To avoid the trap of hype-driven tokens, it's essential to use data and analytics, not emotions. That’s where Token Metrics becomes your secret weapon.

How to Use Token Metrics to Find Monshots?

Token Metrics is an AI-powered crypto analytics platform that helps you discover high-potential tokens with real-time data, grades, and backtested indicators. Here’s a step-by-step guide to using Token Metrics to uncover 100x opportunities:

Step 1: Go to the Ratings Page

Start from the main dashboard of the Token Metrics app.

  • Navigate to the “Ratings” tab.
  • This page ranks thousands of tokens using AI-based Trader Grade and Investor Grade, factoring in technical indicators, on-chain metrics, sentiment, and more.

Pro Tip: Look for tokens with rising Trader Grades and strong historical performance.

Step 2: Click on the “Moonshots” Tab

Once you’re in the Ratings section:

  • Click the “Moonshots” tab at the top of the page.
  • This will filter the list down to tokens the AI model flags as having moonshot potential—i.e., tokens likely to perform exceptionally well in the short term.

These are automatically generated by Token Metrics AI models using over 80+ data points, including:

  • Price momentum
  • On-chain activity
  • Sentiment analysis
  • Volume spikes
  • Market structure

Step 3: Review Key Moonshot Metrics

Each Moonshot token is presented with a rich dataset to help you make informed decisions:

  • Trader Grade (with % change in past 24h or 7d)
  • 24H Trading Volume – Gauge market interest
  • Market Cap – Lower caps typically offer more upside
  • Date of Entry – See when the token was first flagged
  • Live ROI Since Moonshot – Know exactly how past picks performed

Bonus Feature: Toggle to “Past Moonshots” to review previous winners and assess the track record of the platform.

Step 4: Choose a Token to Explore

Click on any token in the Moonshots list to open its Token Details Page.

Here, you can:

  • Analyze real-time charts
  • Review fundamentals, like project utility, tokenomics, roadmap, and team
  • See top holders and whale activity
  • Examine price volatility and volume patterns

This is where research and intuition meet. Use the available data to decide if this token fits your risk tolerance and investment thesis.

Step 5: Buy in Seconds

Token Metrics makes the process seamless:

  • Just click the “Buy” button on the Moonshots page.
  • This opens a swap widget powered by integrated DEX aggregators.
  • Choose your wallet, approve the transaction, and you're done—no need to leave the platform.

This integration eliminates the hassle of going to third-party platforms to execute trades, saving time and reducing risk.

Why Use Token Metrics for Finding Moonshots?

Token Metrics isn’t just about flashy picks—it’s about using data science and AI to gain an edge.

Key Benefits:

  • AI-Driven Insights – No emotional bias; just pure data analysis.
  • Transparency – View past moonshot performance, live ROI, and update dates.
  • Speed to Trade – Instant buy options right from the dashboard.
  • Performance Tracking – Evaluate your results based on entry/exit signals.

Real Examples: Token Metrics in Action

  • Euler Finance was flagged as a Moonshot before its 30% rally—validated by a bullish AI signal.
  • Morpho gained traction after appearing in the Moonshots list, later becoming a top TVL gainer.
  • Hyperliquid made the list before capturing major perp trading market share.

By combining early AI alerts with your own due diligence, you can position yourself ahead of the crowd.

Final Thoughts

Finding the next 100x crypto gem doesn’t have to be a guessing game. While the crypto space remains volatile, tools like Token Metrics help stack the odds in your favor. From real-time ratings to instant buy options and performance metrics, you have everything you need to make smart, data-driven bets on the future of crypto.

So if you're serious about turning small investments into big wins, start using Token Metrics to uncover moonshots before they go mainstream.

Try Token Metrics today and unlock the power of AI-driven crypto investing.

Research

DeFi 3.0 and the Rise of Permissionless Lending – What's Changing in 2025?

Token Metrics Team
8 min
MIN

Introduction:
The DeFi landscape is evolving rapidly, and 2025 is shaping up to be a pivotal year. With innovations like permissionless lending, the ecosystem is transitioning into what many are calling DeFi 3.0. This blog explores what’s driving the shift, the platforms leading the charge, and what investors and developers need to know about this new wave.

What Is DeFi 3.0?

Decentralized finance (DeFi) has experienced two major innovation cycles:

  • DeFi 1.0 was defined by protocols like Uniswap, which revolutionized decentralized trading through automated market makers (AMMs).
  • DeFi 2.0 introduced concepts like protocol-owned liquidity, led by projects like OlympusDAO.

Now in DeFi 3.0, the focus has shifted to permissionless lending, advanced tokenomics, and integrated liquidity solutions.

The Core Drivers of DeFi 3.0

  1. Decentralization of Lending Access:
    Traditional DeFi lending platforms like AAVE require users to hold governance tokens or pass internal gatekeeping to create new markets. DeFi 3.0 protocols remove those barriers, allowing anyone to participate more freely.

  2. Integrated Liquidity and Lending:
    New platforms are enabling liquidity provision and borrowing from the same pool—merging the utility of DEXs with money markets.

  3. Improved Capital Efficiency:
    DeFi 3.0 focuses on optimizing the use of locked capital. Through smart contract automation, platforms allow users to earn on idle funds, reduce slippage, and optimize collateral.

Leading Platforms in the DeFi 3.0 Movement

1. Euler Finance
Euler has grown to over $1B in total value locked (TVL) and is rolling out a key innovation: EulerSwap. This module lets protocols provide liquidity for both swaps and borrowing in a single pool.
Key features:

  • Dual-purpose liquidity (swap + lending)
  • “Just-in-time” borrowing mechanisms
  • Smart contract automation for optimized usage

2. Morpho
Morpho is another high-growth player. With support from Coinbase and over $4B in TVL, it's becoming a serious challenger to AAVE. Its permissionless lending architecture and novel liquidity provisioning model stand out.

3. Hyperliquid
While not a lender per se, Hyperliquid’s approach to perpetuals (perps) trading is noteworthy. It has captured 11% of Binance’s perp market share, signaling DeFi’s growing ability to challenge centralized platforms.

Why Permissionless Lending Matters

The benefits of removing centralized control over lending markets include:

  • Faster innovation and product launches
  • Greater financial inclusion for emerging projects
  • Risk-based pricing by the market, not centralized governance
  • Enhanced decentralization and resilience

However, challenges remain. The risk of undercollateralized positions and protocol exploits still exist. That’s why security—such as smart contract audits and on-chain firewalls—is critical.

The Role of Token Metrics in Tracking DeFi 3.0

During the webinar, the Token Metrics team highlighted how their platform tracks the performance of DeFi 3.0 projects using metrics like:

  • TVL growth rate
  • Trader grade and investor grade
  • Bullish or bearish signals based on 80+ data points

For example, Euler’s bullish signal flipped just before a 30% price rise, demonstrating the value of data-driven insight in volatile markets.

What's Next for DeFi?

As the cycle evolves, we expect:

  • A proliferation of permissionless lending protocols across L1s and L2s
  • Better capital efficiency tools
  • Greater interoperability across EVM chains and Solana
  • On-chain integrations with tokenized real-world assets

Final Thoughts

DeFi 3.0 is not just hype—it represents a fundamental shift in how decentralized finance operates. Permissionless lending, composable liquidity, and institutional-grade risk controls are turning DeFi into a more mature, scalable ecosystem.

As always, perform your own due diligence and keep an eye on platform fundamentals, smart contract risk, and ecosystem adoption.

Research

Top 5 AI Tokens in 2025: Revolutionizing Crypto with Artificial Intelligence

Token Metrics Team
8 min
MIN

Artificial intelligence has transformed every corner of the crypto industry—from trading and analytics to sentiment tracking and smart contract automation. In 2025, AI-powered crypto platforms have surged in popularity, delivering real-time insights, automation, and efficiency that were previously unimaginable.

In this article, we highlight the top 5 AI tokens in 2025: Token Metrics ($TMAI), Kaito AI ($KAITO), Cookie.fun ($COOKIE), Arkham Intelligence ($ARKM), and ChainGPT ($CGPT)—and show why Token Metrics stands out as the gold standard.

1. Token Metrics ($TMAI): The Smartest AI Trading Platform in Crypto

Token Metrics is leading the AI revolution in crypto investing. Known for its AI-powered analytics, signals, and portfolio tools, the platform is a go-to resource for retail and institutional traders alike.

Key Features:

  • AI Buy/Sell Signals: Trained on historical price, sentiment, and on-chain data, Token Metrics generates bullish and bearish calls across thousands of crypto assets.
  • Trader & Investor Grades: Each token receives real-time AI-based scores (0–100), offering a clear snapshot of short-term momentum and long-term strength.
  • AI Chatbot: A conversational interface that lets users ask natural-language queries about market trends, token grades, and price forecasts.
  • Trading Bot: Users can automate execution based on Token Metrics’ signals, either on centralized exchanges or via self-custody strategies.
  • MCP Server Integration: Connects with ChatGPT, Claude, Cursor IDE, and more—enabling developers and analysts to pull Token Metrics data across multiple tools.

$TMAI Token Utility:

  • Unlock premium analytics and signal tiers
  • Staking rewards and fee discounts
  • Governance and roadmap input
  • Developer API access and automation credits

Why $TMAI Is the Best AI Crypto Token:

Unlike other platforms focused on niche utilities, Token Metrics delivers a full-stack AI solution. Its analytics engine is transparent, quantifiable, and tested—used by hedge funds, crypto pros, and AI researchers. The $TMAI token ties everything together with utility, access, and community incentives. In a market full of hype, Token Metrics offers data-driven, AI-validated decisions—a must-have edge for serious traders.

2. Kaito AI ($KAITO): Web3’s Information Aggregator

Kaito AI is a specialized platform tackling one of crypto’s biggest problems: information overload. It uses a custom Large Language Model (LLM) to aggregate and analyze content from X (Twitter), news sites, blogs, and community forums.

Core Features:

  • Mindshare Tracking: Monitors which tokens dominate conversation and sentiment across platforms
  • Sentiment Analysis: Real-time mood scores derived from influencers, headlines, and user engagement
  • Yaps Program: Users earn points for sharing useful content, which may convert into $KAITO tokens

$KAITO Token Utility:

  • Platform access and insights
  • Governance voting
  • Community curation rewards

Strengths:

  • Early identification of narrative shifts
  • Deep focus on information flow and crowd psychology

Limitations:

While Kaito is excellent at detecting narrative momentum, it lacks predictive analytics or execution tools, making it more of a research layer than an active trading solution. Still, it’s an important piece for sentiment-aware investors.

3. Cookie.fun ($COOKIE): Gamified Trading Meets AI

Cookie.fun is a Gen-Z-targeted platform that fuses AI-powered trading insights with gamified investing experiences.

Notable Features:

  • Telegram AI Assistant: Provides user-specific trading signals and alerts
  • Gamified Leaderboards: Trade to climb ranks and win $COOKIE tokens
  • Social Trading Features: Users can mimic top traders or form groups to pool strategies

$COOKIE Token Utility:

  • In-app rewards and incentives
  • Staking for power-ups
  • Marketplace for NFT avatars and in-game tools

Who It’s For:

Cookie.fun’s lighthearted UX and AI-enhanced suggestions appeal to newer, casual investors. It doesn’t match Token Metrics’ analytical depth but makes crypto accessible and fun—an important factor for onboarding the next wave of retail users.

4. Arkham Intelligence ($ARKM): AI for On-Chain Forensics

Arkham Intelligence offers one of the most advanced AI-powered blockchain intelligence platforms, designed to uncover hidden relationships and wallet identities.

Core Capabilities:

  • ULTRA AI Engine: Links pseudonymous wallets to real-world identities
  • Intel Exchange: A decentralized data marketplace for buying/selling wallet intelligence
  • Dashboards & Alerts: Monitor whale wallets, smart money flows, and suspicious activity

$ARKM Token Utility:

  • Access to the Intel Exchange
  • Bounty rewards
  • Platform governance

Ideal Use Cases:

  • Whales tracking and forensic analysis
  • Scam detection and compliance reporting
  • Portfolio flow transparency

Trade-Offs:

Arkham is laser-focused on on-chain visibility, not market timing or trade execution. For users who want to know who’s moving money—and why—Arkham is unmatched. But it doesn’t replace a complete AI trading platform like Token Metrics.

5. ChainGPT ($CGPT): AI Tools for Smart Contract Automation

ChainGPT offers a suite of AI-powered tools for developers, traders, and researchers in the crypto space.

Highlight Features:

  • AI Chat Assistant: Similar to ChatGPT but trained on blockchain topics
  • Smart Contract Generator: Auto-generates and audits Solidity code
  • Trading Assistant: Analyzes charts and on-chain data to produce trade suggestions
  • News Aggregator: AI-summarized crypto headlines

$CGPT Token Utility:

  • Access to tools and premium models
  • Developer credits
  • Ecosystem governance

Audience:

ChainGPT is ideal for technical users, developers, and power traders looking for coding help, risk management support, and project analysis. While useful, its trading tools aren’t as focused or optimized for performance as Token Metrics’ core offerings.

Why Token Metrics Dominates the AI Crypto Landscape

Token Metrics combines AI-grade analytics, execution, automation, and alerts, all under one unified system. It supports custom index building, signals, dashboards, rebalancing agents, and integrations with every major AI tool in the developer ecosystem.

🏁 Final Thoughts

The AI crypto boom is well underway in 2025. Each of the platforms covered—Kaito AI, Cookie.fun, Arkham, ChainGPT—offers specialized tools and insights. But for investors and traders seeking a complete, AI-first trading stack, Token Metrics ($TMAI) is the undisputed leader.

Whether you're a seasoned investor or a crypto newcomer, $TMAI gives you the intelligence, precision, and automation needed to thrive in today’s volatile markets.

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