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Why Crypto API Data Isn’t Cheap: Costs, Realities & Smart Solutions

Explore why accessing blockchain data through crypto APIs can be costly, what drives these expenses, and proven strategies for efficient API usage in crypto apps.
Token Metrics Team
6
MIN
Index

As blockchain and crypto adoption surges, the demand for fast, reliable programmatic access to market and on-chain data has exploded. Developers, analysts, and startups rely extensively on crypto APIs to power apps, dashboards, and even AI-driven agents. Yet, many quickly realize: rich crypto API access can be surprisingly expensive. Why is this the case? What are the actual drivers of cost, and how can organizations optimize their API usage without sacrificing performance?

What Makes Crypto API Calls Costly?

Unlike traditional financial APIs, crypto APIs must handle large, decentralized datasets in real-time. The process of collecting, validating, enriching, and delivering this data to users is resource-heavy. Here’s why:

  • On-Chain Data Volume: Blockchains, especially giants like Ethereum, generate massive volumes of transactional data every second. Extracting relevant information—blocks, transactions, token transfers—requires continuous syncing, substantial compute power, and scalable storage.
  • Real-Time Demands: Market participants expect split-second access to price feeds and trading signals. This level of freshness necessitates robust server infrastructure and redundancy, both of which drive up operational costs for API providers.
  • API Rate Limits: To control demand and maintain stability, providers often limit free or basic tier calls. Higher usage tiers or premium data (such as historical, on-chain analytics, or low-latency endpoints) incur greater costs.
  • Security & Uptime: DDoS protection, API key management, and high-availability architectures are not trivial to develop or maintain. Reliable APIs also need to manage constant upgrades as networks evolve.

How Do Crypto API Pricing Models Work?

Crypto API providers use a range of models to manage infrastructure costs while scaling access:

  1. Freemium: Limited requests per month for free, with charges for higher usage, more endpoints, or additional features.
  2. Tiered Subscriptions: Packages based on maximum monthly API calls, unique endpoints, or support level.
  3. Pay-As-You-Go: Billing only for what’s consumed. This is common for high-frequency or enterprise clients needing flexibility.
  4. Enterprise Licensing: Flat annual fees for unlimited or very high-volume access, often paired with service-level agreements and dedicated support channels.

Ultimately, high-usage scenarios—like building real-time dashboards, AI analytics bots, or data aggregation platforms—will encounter notable costs, especially if they require both historical and live-chain data.

Balancing Performance with Cost-Efficiency

For many teams, efficiency isn't just about reducing API spend—it's about avoiding bottlenecks that can slow user experience or data integrity. Key trade-offs to consider:

  • Data Granularity: Do you need tick-by-tick price updates or is hourly resolution sufficient? Finer granularity means more calls and more costs.
  • Batch Requests: Some APIs support aggregating multiple queries into a single call, reducing overhead.
  • WebSockets vs. REST: Persistent connections (WebSockets) can deliver streaming updates more efficiently than repeated polling via REST calls.
  • Selective Endpoint Use: Only request what’s needed for your specific feature or user story, trimming unnecessary API consumption.
  • Caching & Throttling: Intelligent local caching and request throttling can dramatically cut your API bill and preserve provider bandwidth.

Practical Tips for Developers: Optimizing Crypto API Usage

To build scalable, cost-effective apps, dev teams can adopt several best practices:

  • Audit API usage patterns regularly. Identify redundant or duplicate calls.
  • Set clear API rate limits in code—as a safeguard against accidental overages.
  • Use built-in API analytics to monitor consumption and plan for capacity based on peak vs. average demand.
  • Explore multi-provider strategies. Balancing calls among a mix of APIs can de-risk single-provider outages and, in some cases, optimize pricing.
  • Establish automated alerts for quota limits or unusual spikes in usage to avoid service disruptions.
  • Consider using AI to predict traffic or data needs, pre-fetching only essential info when likely to be needed.

Many modern crypto analytics platforms, such as Token Metrics, also offer intelligent API solutions and reporting to support these optimization efforts.

The evolving crypto ecosystem is pushing both infrastructure and cost models. Emerging trends include:

  • AI-Powered Data Extraction: Companies are leveraging AI to parse, clean, and classify blockchain data more efficiently, reducing operational overhead.
  • Decentralized Data Networks: Platforms aggregating data from decentralized sources (oracles, peer nodes) may offer lower-cost and more resilient alternatives.
  • Dynamic Pricing: Expect APIs to increasingly adopt demand-driven pricing, scaling costs with market volatility or network congestion.
  • Better Developer Tooling: As the sector matures, expect even more robust SDKs, flexibility in integration, and user-friendly analytics for tracking both usage and billing.

While API costs will likely remain a factor in crypto development budgets, ongoing innovation is opening new opportunities to discover value and build smarter.

Build Smarter Crypto Apps & AI Agents with Token Metrics

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Why are crypto API calls so expensive compared to other APIs?

Crypto APIs often handle vast, rapidly updating blockchain datasets. The requirements for real-time data parsing, high uptime, and managing decentralized sources drive infrastructure and operational costs significantly above traditional APIs.

How can developers reduce their crypto API costs?

Optimizing call frequency, implementing data caching, batching requests, and leveraging efficient endpoints can substantially cut usage and associated expenses. Monitoring consumption and exploring competitive providers also helps control costs.

Are there any free or affordable crypto APIs available?

Many providers, including Token Metrics, offer limited free tiers with restrictions on call volume or accessible endpoints. These plans are suitable for prototyping and testing, but scaling up typically requires moving to paid or subscription models.

What risks exist if you exceed API call limits?

Users may face temporary suspension, degraded performance, unexpected charges, or total loss of access. It's best practice to monitor usage and set up automated safeguards to avoid exceeding quotas.

How does Token Metrics' API stand out for crypto developers?

Token Metrics API combines real-time pricing, trading signals, and sophisticated on-chain analytics through a single, streamlined interface. Developers can integrate actionable insights with minimal overhead and flexible pricing options.

Disclaimer

This blog post is for informational and educational purposes only. It does not constitute investment advice, trading recommendations, or an offer to buy or sell any crypto asset. Always conduct your own research and consult a qualified professional before making data integration or financial decisions.

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Token Metrics Team
Token Metrics Team

Recent Posts

Announcements

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

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:

âś… AI That Acts

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

âś… Actionable Data

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

âś… Current Market Analysis

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

âś… 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.

Research

Best Crypto Index in 2025: How AI-Powered Indices Redefine Crypto Trading?

Token Metrics Team
8 min
MIN

The crypto market is rapidly evolving, and with it, the way investors approach asset allocation. Traditional token picking is being replaced by smarter, more diversified strategies like crypto indices. But as AI enters the scene, a new generation of indices—AI crypto indices—is emerging. So, what’s the difference? And which is better for investors in 2025?

In this guide, we break down the key differences, advantages, and use cases of crypto indices vs AI crypto indices, helping you decide which is better for your investment strategy.

What Are Crypto Indices?

A crypto index is a curated basket of cryptocurrencies grouped based on certain criteria such as market capitalization, sector (like DeFi or NFTs), or performance. Just like stock market indices (e.g., S&P 500), these indices offer passive exposure to a segment of the market, allowing investors to diversify without manually picking individual tokens.

Types of Crypto Indices:

  • Market Cap Indices – Top 10, Top 25, or Top 100 coins by market cap
  • Sector-Based Indices – DeFi, Gaming, Memecoins, RWA (Real World Assets), etc.
  • Performance-Based Indices – Best-performing assets over a defined period

Crypto indices are typically rebalanced at regular intervals (e.g., weekly or monthly) and follow fixed rules.

What Are AI Crypto Indices?

AI crypto indices take things a step further by using artificial intelligence and machine learning models to dynamically manage the index.

Unlike static or rule-based crypto indices, AI crypto indices continuously analyze data—such as price action, sentiment, volume, momentum, and on-chain signals—to adjust holdings in real-time or near real-time.

Features of AI Crypto Indices:

  • AI-Powered Rebalancing: Allocations change based on market signals, not fixed schedules
  • Market Timing: Enter or exit positions when bullish or bearish conditions are detected
  • Signal-Based Entry/Exit: Move to stablecoins when the AI model predicts a downturn
  • Multi-Factor Analysis: Combines technical, fundamental, and sentiment indicators

Benefits of Traditional Crypto Indices

  1. Simplicity
    Crypto indices are easy to understand and ideal for beginners who want broad exposure without analyzing charts.
  2. Diversification
    Instead of betting on one token, investors gain exposure to a group, reducing risk.
  3. Low Maintenance
    Once you invest, the portfolio is rebalanced automatically based on set rules.
  4. Transparency
    Rules and components are clear. You know what’s in your index and when it changes.

Benefits of AI Crypto Indices

  1. Smarter Market Timing
    AI models detect bullish or bearish signals and adjust the portfolio accordingly—buying when momentum builds, selling when risk rises.
  2. Higher Alpha Potential
    By reacting faster to changing market conditions, AI indices often outperform static ones in volatile markets.
  3. Dynamic Asset Allocation
    Allocations aren’t fixed—they adapt based on hundreds of real-time data points like sentiment, on-chain activity, and volatility.
  4. Built-in Risk Management
    When bearish signals appear, AI indices can exit positions and shift to stablecoins—helping protect capital in downturns.

Which Is Better in 2025?

The answer depends on your investment style, risk tolerance, and goals:

Choose Crypto Indices if:

  • You prefer a hands-off, passive approach
  • You're a beginner looking for simple exposure
  • You value transparency and low complexity
  • You're investing for the long term regardless of market cycles

Choose AI Crypto Indices if:

  • You want an actively managed experience without managing trades yourself
  • You seek higher performance in volatile markets
  • You want a strategy that adapts dynamically to real-time trends
  • You care about downside protection during bear markets

In 2025, with markets becoming more data-driven and volatile, AI crypto indices are increasingly becoming the preferred option for both retail and institutional investors seeking a smarter way to invest.

Why Token Metrics AI Crypto Indices Stand Out

Token Metrics is at the forefront of AI-powered crypto investing. Its proprietary AI crypto indices use over 80 data points per token—including momentum, sentiment, on-chain trends, trading volume, and volatility—to construct and manage indices that enter and exit positions with precision.

  • âś… Bullish Signal? Capital is deployed into top-ranked tokens.
  • âś… Bearish Signal? The AI exits to stablecoins to reduce drawdowns.
  • âś… Real-Time Rebalancing? Yes—based on predictive indicators, not static rules.

Whether you're a trader looking for alpha or an investor looking to automate your exposure, Token Metrics AI crypto indices offer smart investing on autopilot.

Final Thoughts

In the debate of crypto indices vs AI crypto indices, there’s no one-size-fits-all answer. Traditional indices offer simplicity and passive diversification, while AI indices bring intelligence, agility, and risk-managed growth.

In 2025 and beyond, as crypto markets become more sophisticated, the edge will belong to those using smarter tools. AI crypto indices aren’t just the future—they’re the present.

FAQs

Q: Are AI crypto indices risky?
A: They’re typically less risky than picking individual tokens, thanks to built-in risk management and real-time adaptability.

Q: Can I customize an AI crypto index?
A: Platforms like Token Metrics are building toward more customizable AI-driven portfolios tailored to your preferences.

Q: Do AI indices outperform traditional indices?
A: In volatile markets, AI indices often outperform by reacting quicker to price swings and avoiding losses through bearish exits.

Q: Is this approach suitable for beginners?
A: Yes. AI crypto indices are designed to be user-friendly—offering the benefits of active trading without manual effort.

Want to experience the future of crypto investing?
Explore AI-powered indices now at Token Metrics.

Research

Top Crypto Indices in 2025: The Best Ways to Invest in Crypto Without Picking Tokens

Token Metrics Team
Top Crypto Indices in 2025: The Best Ways to Invest in Crypto Without Picking Tokens
MIN

Crypto investors in 2025 face an overwhelming number of choices. With thousands of tokens, rapidly shifting narratives, and constant market volatility, building and managing a profitable portfolio isn’t easy. But one solution is gaining traction among both beginner and seasoned investors alike: crypto indices.

A crypto index is a curated basket of tokens that provides diversified exposure to a specific segment of the crypto market. Instead of researching and buying individual tokens, you invest in a single index that tracks a group of assets—similar to how the S&P 500 or NASDAQ works in traditional finance.

In this article, we’ll cover the top crypto indices in 2025, explain what makes each one stand out, and explore how AI is revolutionizing index investing in the crypto space.

What Is a Crypto Index?

A crypto index is a portfolio of cryptocurrencies selected and weighted using a specific methodology. It can be passive—holding the top 10 tokens by market cap—or active, where an algorithm or AI rebalances the index based on market conditions.

Investing in a crypto index means you’re buying into an entire theme or strategy, not just a single token. This helps reduce risk, smooth out returns, and simplify the investing process.

Why Use Crypto Indices in 2025?

Here’s why crypto indices are more relevant than ever in 2025:

  • Diversification: Spread your capital across multiple tokens, reducing the impact of any single asset's volatility.
  • Automation: Many indices rebalance automatically, saving you time and effort.
  • Trend Exposure: Sector-based indices let you ride major trends like AI, DeFi, or Real World Assets (RWA).
  • Risk Management: AI-powered indices can reduce exposure or shift to stablecoins in bearish conditions.

Top Crypto Indices in 2025

1. Token Metrics AI Indices

  • Type: Actively Managed
  • Technology: AI-driven with over 80 data points per token
  • Themes: Memecoins, RWA, AI Agents, DeFi, Layer 1s
  • Frequency: Rebalanced weekly based on bullish/bearish market signals

Why It’s a Top Pick:
Token Metrics has pioneered a new generation of crypto indices that actively trade based on AI insights. Instead of static rebalancing, the AI identifies when to enter or exit tokens based on current momentum, volatility, sentiment, and technical indicators. These indices offer a smarter, automated approach to outperforming the market—especially in fast-moving sectors like AI tokens or memecoins.

2. Bitwise 10 Crypto Index Fund (BITW)

  • Type: Passive
  • Structure: Traditional investment vehicle (available via brokerage)
  • Assets: Top 10 cryptocurrencies by market cap

Why It’s a Top Pick:
BITW is ideal for investors looking for simple, long-term exposure to the largest and most established cryptos. It tracks the performance of the top 10 digital assets, including Bitcoin (BTC), Ethereum (ETH), and Solana (SOL). It's fully regulated and targets institutions or traditional investors entering crypto.

3. Phuture DeFi Index (PDI)

  • Type: On-chain, Passive
  • Focus: Decentralized Finance (DeFi) tokens
  • Access: Non-custodial, DeFi-native

Why It’s a Top Pick:
Phuture makes index investing seamless within DeFi ecosystems. Its DeFi Index provides exposure to high-utility tokens like AAVE, UNI, and CRV. Ideal for crypto-native users, it’s completely on-chain, composable, and doesn’t require intermediaries.

4. Index Coop – GMI (Bankless DeFi Innovation Index)

  • Type: Community-Governed, Thematic
  • Focus: Experimental and innovative DeFi projects
  • Governance: Managed by Index Coop and Bankless DAO

Why It’s a Top Pick:
GMI stands for “Going Mainstream Index” and aims to capture cutting-edge projects at the bleeding edge of DeFi innovation. It’s great for those bullish on next-gen financial infrastructure and looking for exposure to governance tokens, staking protocols, and experimental finance.

5. Crypto20 (C20)

  • Type: Tokenized Index Fund
  • Composition: Top 20 cryptocurrencies
  • Access: ERC-20 token (C20) represents index share

Why It’s a Top Pick:
Crypto20 was one of the first tokenized crypto index funds. It lets you invest in the top 20 cryptocurrencies through a single token, with auto-rebalancing and transparent weighting. It’s an easy on-ramp for beginners who want broad crypto exposure.

6. Token Metrics Global Market Cap Indices (HODL Series)

  • Type: Passively Managed
  • Available Indices: Top 5, 10, 25, and 100 by market cap
  • Strategy: Buy-and-hold portfolios for long-term investors

Why It’s a Top Pick:
These indices are designed for investors who believe in the long-term growth of the crypto market but don’t want to chase narratives. The HODL series is great for passive wealth accumulation with minimal trading activity.

Thematic Crypto Indices to Watch

If you’re looking to ride specific crypto narratives in 2025, these thematic indices are worth considering:

🔹 AI Tokens Index

  • Tracks top AI-focused crypto projects like FET, AGIX, and GRT.
  • Surging interest due to the AI boom in both tech and crypto sectors.

🔹 Memecoin Index

  • Includes high-volatility meme tokens like DOGE, PEPE, BONK, and WIF.
  • Great for traders who want to play high-risk, high-reward cycles.

🔹 RWA Index (Real World Assets)

  • Exposure to tokens that represent off-chain value: MKR, ONDO, XDC, etc.
  • Benefiting from institutional crypto adoption and tokenized finance growth.

🔹 Layer 1 Index

  • Tracks the performance of top blockchain platforms: ETH, SOL, AVAX, NEAR, etc.
  • Best for investors bullish on infrastructure plays.

How to Start Investing in Crypto Indices

  1. Choose a Platform – Token Metrics, Bitwise, Index Coop, or Phuture.
  2. Select an Index – Based on your interest: AI, DeFi, Memecoins, or Market Cap.
  3. Connect Wallet or Sign Up – Depending on whether it's on-chain or centralized.
  4. Fund Your Account – Typically via USDC, ETH, or fiat.
  5. Monitor Performance – AI indices may require weekly check-ins; HODL indices can be set and forgotten.

Final Thoughts: Crypto Indices Are the Smartest Way to Invest in 2025

Whether you’re a new investor or an experienced trader, crypto indices in 2025 offer one of the most efficient, diversified, and intelligent ways to grow your crypto portfolio. Platforms like Token Metrics lead the way with cutting-edge AI-powered indices, while more traditional players like Bitwise provide reliable exposure for institutional strategies.

By investing in an index, you’re not just buying a few coins—you’re gaining access to a curated, balanced, and often smarter portfolio that evolves with the market. And as AI and automation take over more of the investing process, index strategies are becoming even more powerful.

If you’re ready to stop guessing and start investing strategically, now is the time to explore the best crypto indices available.

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Copyright © 2025 - Token Metrics - All Rights Reserved

Token Metrics Media LLC is a regular publication of information, analysis, and commentary focused especially on blockchain technology and business, cryptocurrency, blockchain-based tokens, market trends, and trading strategies.

Token Metrics Media LLC does not provide individually tailored investment advice and does not take a subscriber’s or anyone’s personal circumstances into consideration when discussing investments; nor is Token Metrics Advisers LLC registered as an investment adviser or broker-dealer in any jurisdiction.

Information contained herein is not an offer or solicitation to buy, hold, or sell any security. The Token Metrics team has advised and invested in many blockchain companies. A complete list of their advisory roles and current holdings can be viewed here: https://tokenmetrics.com/disclosures.html/

Token Metrics Media LLC relies on information from various sources believed to be reliable, including clients and third parties, but cannot guarantee the accuracy and completeness of that information. Additionally, Token Metrics Media LLC does not provide tax advice, and investors are encouraged to consult with their personal tax advisors.

All investing involves risk, including the possible loss of money you invest, and past performance does not guarantee future performance. Ratings and price predictions are provided for informational and illustrative purposes, and may not reflect actual future performance.

Disclaimer