Crypto Basics

What is Web 3.0? Web 1 vs Web 2 vs Web 3 | Explained

Learn more about Web 3.0, and its comparison with Web 1 and 2.
Token Metrics Team
6 minutes
MIN

If you're wondering what is Web 3, this is the place to be.

In this article, we'll learn more about the evolution of web over time, and what's next.

Evolution of Web

Being around for 3 decades, the internet has gone through multiple stages of evolution. With each evolution comes new tools and applications relevant to modern-day users, leading us to Web 3.0.

The first generation of the web is called Web 1.0. As the earliest version of the internet, it is known as the “read-only web”. As its name implies, web users can look up facts and information and read upon it. Websites were basic and had very limited functions.

When it comes to  Web 1.0, there is a lack of interactions that takes place between online internet content and internet users. Sites are not interactive and there are no contributions, alterations, or impacts that can be made by the average website visitor. Most common from the 1990s to 2005, Web 1.0 connected information with users.

This lack of interaction made Web 1.0 flat and stationary. As the name suggests, “the read-only Web” lacks the forms, visuals, controls, and interactivity we enjoy on today’s Internet. The developers of Web 1.0 sites typically build their sites and develop in text or graphic format.

Static websites and personal sites would be considered part of Web 1.0. Unlike today where many websites aim for high traffic and user return rates, content distributed on Web 1.0 may be useful but does not give people a reason to return.

Web 3.0, also known as the semantic web, is the current stage of the evolution of the web. It is characterized by the use of artificial intelligence and machine learning to create a more intuitive and personalized web experience.

Web 3.0 also enables the integration of data from multiple sources and the creation of intelligent, self-learning systems that can understand the meaning and context of information on the web. This stage of the web is still in development, but it promises to bring significant advancements in terms of user experience and the ability of the web to connect and analyze data.

Web 3.0 – The New Internet

The future stages of the internet will be built on public blockchains. Blockchains are distributed databases that are shared among a number of computer networks. Web 3.0 is decentralized, which means there is no central authority. This is possible because with Web 3.0, information is stored in multiple locations concurrently.

Additionally, because it is trustless and permissionless, anyone can interact with the web without permission from a middleman. This gives users the freedom to interact with the web privately or publicly without having to trust a middleman.

With Web 3.0, individuals finally have the ability to own and govern parts of the internet, rather than relying on companies like Google or Facebook to access it.

Web 3.0 is still very new, and we have not even come close to unlocking its full potential. Characteristics of Web 3.0 can already be seen in blockchain games, the Metaverse, and decentralized finance.

In short, Web 3.0 allows users to interact, exchange information, and securely facilitate different types of transactions without a central authority, which means that Web 3.0 users become content owners rather than just content users.

Advantages of Web 3.0

Web 3.0 offers several key benefits to users, including:

  1. Ownership and control of personal data and information: In Web 3.0, control and access to personal data and information is returned to the user. This means that users will have complete ownership and control over their data, while still being able to share it on a permission-based or case-by-case basis.
  2. Access to information from anywhere: One of the main benefits of Web 3.0 is the ability to access data and information from anywhere, using only a smartphone or computer. This technology aims to expand on current ideas and allow devices to collect and share user data, making it more widely accessible.
  3. Elimination of centralized control: Web 3.0 and blockchain technology allow for the creation of decentralized networks, where data is fully encrypted and unmodifiable. This eliminates the need for intermediaries, such as large companies or governments, to control user data.
  4. Permissionless blockchain technology: In Web 3.0, anyone can create an address and interact with the blockchain network with complete privacy and security. This means that users are not required to go through any kind of verification process, such as KYC checks, in order to access and use blockchain services.
  5. Constant availability of services: The use of decentralized networks and encrypted data storage in Web 3.0 means that services are less likely to be suspended or disrupted. Since there is no single point of failure, service disruption is minimized and users have constant access to their data.

Disadvantages of Web 3.0

However, there are also disadvantages to Web 3.0, including:

  1. Potential for increased cyber attacks: Decentralized networks and encrypted data storage make it more difficult for hackers to access and modify user data. However, this also makes it more difficult for security experts to detect and prevent attacks.
  2. Need for infrastructure changes: In order for Web 3.0 to be fully adopted, significant changes to current infrastructure will be necessary. This includes changes to network protocols and the development of new software and hardware.
  3. Early stage of development: Web 3.0 is still in its early stages of development, and has yet to be widely adopted. This means that there are still many challenges and uncertainties associated with the technology.
  4. Lack of understanding and education: Many people are not familiar with the concept of Web 3.0 and the benefits it offers. This lack of understanding can make it difficult for the technology to gain widespread acceptance.

Key Takeaways

The development of Web 3.0 represents a significant advancement in technology, offering users the ability to read, write, and own data and information. This technology is still in its early stages, but has the potential to break into other industries and change the way we think about data and information ownership. While there are benefits to using Web 3.0, there are also risks involved.

It is up to individuals to determine whether the rewards of using this technology outweigh the potential drawbacks. Overall, the development of Web 3.0 is a major event in the history of modern technology.

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Token Metrics Team
Token Metrics Team

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Research

Comparing the Top Crypto Trading Bots of 2025: Open Source and Paid

Token Metrics Team
6
MIN

The landscape of crypto trading is rapidly evolving, and as we move into 2025, automation through trading bots remains one of the most transformative trends. Both newcomers and experienced traders are turning to crypto trading bots to streamline processes, manage risk, and take advantage of around-the-clock markets. But with the explosion of open source and paid options, how do you identify which bots merit your attention? In this deep dive, we’ll compare the leading crypto trading bots of 2025—balancing tech, usability, and transparency—so you can navigate this essential toolkit with confidence.

What Are Crypto Trading Bots and How Do They Work?

Crypto trading bots are software programs designed to automate buying, selling, and portfolio rebalancing in cryptocurrency markets. Leveraging predefined rules, technical indicators, or advanced machine learning, these bots execute trades faster and without the emotional bias that can affect manual trading. Bots can operate 24/7, responding instantly to market changes and often employing sophisticated strategies that would be challenging to replicate manually.

In 2025, the variety of bots available spans from simple rule-based systems to complex AI-driven agents. They connect to crypto exchanges—such as Binance, Coinbase, or Kraken—through API integrations. Most bots allow users to customize strategies, set risk parameters, and monitor performance through intuitive dashboards.

Open Source vs. Paid Trading Bots: Key Differences

The difference between open source and paid crypto trading bots often comes down to transparency, control, and ease of use.

  • Open Source Bots: These bots offer transparency and community collaboration. Users can audit the code, ensure no hidden functionality exists, and even tweak algorithms to better suit their needs. Popular examples include Freqtrade and Gekko. While these bots are typically free, they require more technical expertise to set up and maintain, especially when connecting APIs or deploying custom strategies.
  • Paid (Commercial) Bots: Premium bots bundle user-friendly interfaces, customer support, and often proprietary algorithms. Services like 3Commas, Cryptohopper, and Bitsgap lead this category by offering plug-and-play features, cloud hosting, and advanced automation. While they have subscription fees, they cater to users who prefer convenience, security, and ongoing updates over full source code access.

Choosing between open source or paid options in 2025 depends on your technical skill, needs for customizability, trust level, and budget allocation for trading infrastructure.

As AI integrates deeper into crypto trading, both open source and paid bots have seen an upgrade in intelligence and adaptability:

  • Natural Language Strategy Creation: Some advanced bots allow users to describe trading strategies in plain language, which the AI then translates into executable code.
  • Reinforcement Learning Algorithms: AI-driven bots in 2025 commonly use reinforcement learning, optimizing their strategies based on real-time outcomes and historical market data.
  • On-Chain Data Integration: The best bots can process on-chain metrics—such as wallet movements and DeFi protocol activity—adding fresh market context to traditional technical indicators.
  • Risk-Aware Trade Execution: Automated position sizing, stop-loss rules, and volatility analysis are standard, reducing exposure in turbulent conditions without constant user intervention.
  • Multi-Exchange and Cross-Asset Support: Top bots can manage portfolios across several trading platforms, balancing trades among Bitcoin, Ethereum, altcoins, and even tokenized real-world assets.

This evolution assists users at all experience levels, turning AI-powered bots into leading research and automation companions rather than just passive trading engines.

Top Open Source and Paid Crypto Trading Bots in 2025

Let’s spotlight a few prominent options, emphasizing their core features without bias:

  1. Freqtrade (Open Source): Known for its robust backtesting engine, extensive strategy customization, and active GitHub community. Ideal for tech-savvy users who value flexibility and transparency.
  2. Gekko (Open Source): A lightweight bot that runs on Node.js and connects to multiple exchanges. Supports plugin architecture but may lack advanced AI integrations found in newer bots.
  3. Hummingbot (Open Source): Specializes in liquidity mining and market making, enabling users to deploy custom bots with cloud or local hosting. Actively maintained with built-in analytics.
  4. 3Commas (Paid): Offers smart trading terminals, grid bots, trailing features, and AI-powered portfolio management. Designed for accessibility, cloud-based operation, and mobile controls.
  5. Cryptohopper (Paid): Boasts AI strategy creation (“Hopper AI”), paper trading, and a marketplace for community-generated strategies. Focuses on low-latency, round-the-clock trade automation.
  6. Bitsgap (Paid): Supports arbitrage, futures, and spot trading across several exchanges. Known for quick setup, portfolio analytics dashboards, and dynamic grid bots suitable for volatile markets.

Each of these solutions appeals to different user profiles and ambitions. Some prioritize full-stack transparency and algorithmic control (the open source camp), while others seek set-and-forget usability, support, and feature-rich tools (the paid category).

Best Practices for Choosing Crypto Trading Bots

Whether you gravitate toward open source innovation or streamlined paid solutions, consider the following best practices:

  • Security First: Audit the bot’s access permissions. Use secure API keys, track data privacy, and avoid sharing credentials.
  • Community and Support: Evaluate the strength of the bot’s user community or customer support. Active development and transparent documentation are critical for troubleshooting and growth.
  • Strategy Flexibility: Choose bots that support the indicators and logic you require, whether it’s AI-driven strategies or manual rules.
  • Backtesting Capability: Review bots’ simulation features, allowing you to test algorithms on historical data before live implementation.
  • Integration and Scalability: Ensure compatibility with your desired exchanges, assets, and portfolio size. Consider future-proofing with multi-exchange and cross-asset support.

The right research, careful strategy testing, and a responsible approach to automation ensure bots enhance your trading—not replace foundational knowledge or risk management.

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FAQ: Crypto Trading Bots in 2025

Using crypto trading bots is legal in most jurisdictions. However, exchanges may have their own rules, so always review the terms of service for the platforms you use. Compliance with local laws regarding crypto assets is also important.

Can I use trading bots with any crypto exchange?

Most major exchanges provide APIs that allow trading bots to connect and execute trades. However, the level of support and functionalities may vary. Always verify the bot’s compatibility with your chosen exchange.

Do I need to know coding to use crypto trading bots?

Not necessarily. Many paid trading bots offer user-friendly interfaces requiring no coding skills. Open source bots often need technical setup and strategy tweaks, so basic programming knowledge can be helpful for those options.

Are AI-based bots better than rule-based bots?

AI-based bots can adapt to changing market conditions and process complex data in real time, offering advantages in dynamic environments. However, success depends on the implementation, underlying data, and usage. Rule-based bots can be more predictable and transparent.

What are the main risks of using crypto trading bots?

Risks include technical failures, API connection issues, untested algorithms, security breaches, and unpredictable market behavior. It’s important to use secure practices, monitor performance, and regularly audit bot activities.

Disclaimer

This article is intended for informational and educational purposes only. It does not constitute investment advice or recommendations of any kind. Always conduct your own research and consult with financial professionals before engaging in any cryptocurrency trading or investment activities.

Research

Unlocking the Potential of Cryptocurrency APIs for Developers and Analysts

Token Metrics Team
5
MIN

The evolving world of digital assets runs on data. For developers, analysts, and organizations navigating this landscape, harnessing accurate, timely, and actionable crypto data is fundamental to success. But how can you efficiently access vast ledgers, prices, and on-chain analytics from thousands of cryptocurrencies? Enter cryptocurrency APIs—the engines quietly fueling innovation and insight across the blockchain sector.

What Is a Cryptocurrency API?

An API (Application Programming Interface) is a standardized way for software to communicate and exchange information. A cryptocurrency API specifically facilitates seamless access to crypto-related data and functions. Whether dealing with historical prices, blockchain transactions, token metadata, or real-time market feeds, these APIs offer a programmatic gateway into complex digital asset ecosystems. Instead of manual research across multiple platforms, users can automate data collection, run analytics, or even build trading infrastructure—all with efficient, secure calls to an API endpoint.

The emergence of APIs has democratized access to blockchain data, benefiting projects of all sizes. Whether launching a DeFi dashboard, researching token analytics, or simply syncing exchange prices into spreadsheets, APIs are the backbone of digital asset research and development.

Types of Cryptocurrency APIs and Their Use Cases

Not all crypto APIs are created equal. Various categories reflect the diverse needs of the blockchain community:

  • Market Data APIs: Provide real-time and historical price feeds, trading volume, order books, and metadata for thousands of cryptocurrencies across exchanges. Use cases include price tracking apps, research dashboards, and price alerts.
  • Blockchain APIs: Serve raw blockchain data such as transaction histories, wallet balances, gas fees, and block explorers for networks like Bitcoin, Ethereum, and Solana. Essential for wallet apps, compliance tools, and NFT platforms.
  • Trading APIs: Enable users and bots to execute trades, manage orders, and monitor account activity directly on supported exchanges. Vital for algo-trading platforms, portfolio balancers, and market-making bots.
  • On-chain Analytics APIs: Provide deeper analytics, wallet clustering, smart contract activity, and DeFi/NFT insights to inform risk management, due diligence, or automated research.

The right API opens myriad doors—automating research, developing robust applications, and reducing manual overhead.

Key Features to Look for in a Cryptocurrency API

Choosing a crypto API isn’t just about the breadth of assets covered. Making a strategic selection involves assessing several core attributes:

  • Comprehensive Data Coverage: The API should offer support for major blockchains and tokens, with deep historical and real-time data.
  • Latency and Reliability: Low-latency data delivery is crucial for trading and analytics use cases. High uptime and robust SLAs are non-negotiable for mission-critical projects.
  • Granularity: Look for APIs providing granular data—tick charts, historical depth, and address-level on-chain details.
  • Easy Integration: Developer-friendly documentation, SDKs, and sample code reduce integration time and friction.
  • Security: Encryption, authentication, and compliance with regulatory standards protect both data and end users.
  • Advanced Analytics: APIs offering AI-powered signals, token ratings, smart contract analytics, and abnormal trading pattern alerts provide a valuable edge.

Assessing feature sets against your application’s requirements ensures scalability and longevity in rapidly changing markets.

Practical Examples of Cryptocurrency API Integration

How are cryptocurrency APIs shaping real-world workflows? Here are several practical scenarios:

  • Portfolio Trackers: Developers aggregate prices, balances, and transaction histories from exchanges and wallets, offering users a 360° dashboard.
  • Analytics Platforms: Researchers tap APIs to visualize market trends, generate on-chain heatmaps, or compare DeFi activity across protocols.
  • Compliance Tools: Compliance professionals use APIs to track funds, monitor risk, and enforce AML protocols via transaction tracing and wallet analysis.
  • AI-Driven Bots: Algorithmic agents ingest real-time feeds and trading signals via APIs, helping automate research, position sizing, and risk alerts.

APIs save time and reduce errors by replacing manual data collection with automated, scalable solutions accessible to both beginners and professionals.

AI and Advanced Analytics in Crypto APIs

The latest generation of cryptocurrency APIs goes beyond raw data. Powerful platforms leverage artificial intelligence (AI) and machine learning to deliver high-value insights. Examples include:

  • AI-Generated Trading Signals: APIs serving probabilistic buy/sell suggestions based on market sentiment, on-chain behavior, and macro trends.
  • Token Ratings: Algorithms synthesize fundamentals, developer activity, and network metrics to assign token quality scores.
  • Risk Detection: Spotting abnormal trading or potential rug pulls through on-chain analytics and real-time monitoring.
  • Portfolio Optimization: Intelligent portfolio construction—factoring in risk tolerance, correlations, and dynamic volatility—powered by AI within the API itself.

Access to such data is increasingly accessible through well-documented endpoints and SDKs, enabling teams to build smarter, safer crypto tools and gain market context previously reserved for institutional players.

Build Smarter Crypto Apps & AI Agents with Token Metrics

Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key

Frequently Asked Questions About Cryptocurrency APIs

How do I choose the right cryptocurrency API for my project?

Identify your core needs—price data, trading automation, on-chain analysis—and compare leading providers’ data coverage, reliability, security, and ease of integration. Consider documentation quality and the availability of support or SDKs.

Are there free cryptocurrency APIs available?

Yes, many providers offer free tiers with core data endpoints, rate limits, and restricted historical depth. Advanced features and higher call volumes often require a paid plan. Always review usage terms before building mission-critical services on free APIs.

Can I use cryptocurrency APIs for research and analytics?

Absolutely. Cryptocurrency APIs are widely used to source data for research dashboards, quantitative analysis, AI model training, and visualization platforms. Analytical tools like Token Metrics offer API integration for comprehensive analytics.

How secure are cryptocurrency APIs?

Reputable APIs use encryption, token-based authentication, and sometimes allow IP whitelisting. Choose providers with clear security practices, monitor API keys, and avoid sharing them publicly or in client-side code.

What skills are needed to work with cryptocurrency APIs?

Basic knowledge of programming languages like Python or JavaScript, APIs (REST/GraphQL concepts), and JSON/parsing skills are essential. For advanced use cases, familiarity with blockchain concepts and data structures adds value.

Disclaimer

This blog post is for informational and educational purposes only. It does not provide financial, investment, or legal advice. Always conduct your own due diligence before building, integrating, or interacting with cryptocurrency technologies or APIs.

Research

How to Access Real-Time Crypto Price Data for Free with APIs

Token Metrics Team
6
MIN

Reliable and fast access to real-time cryptocurrency price data is crucial for developers, analysts, and crypto enthusiasts. Whether you're building a trading bot, analytics dashboard, or portfolio tracker, integrating a free cryptocurrency price API can unlock powerful insights—without hefty costs or restrictive paywalls.

What Are Cryptocurrency Price APIs?

APIs (Application Programming Interfaces) act as bridges that allow applications to communicate with external data sources seamlessly. A cryptocurrency price API connects your application to third-party services or blockchain data providers, offering up-to-date information like:

  • Cryptocurrency spot prices (e.g., Bitcoin, Ethereum, Solana, and thousands more)
  • Market capitalization, trading volumes, and liquidity statistics
  • Historical pricing and candlestick charting data
  • On-chain metrics, transaction counts, and wallet information

Price APIs are particularly popular because they simplify the process of fetching accurate, timestamped data that can be integrated into trading apps, portfolios, alert systems, or research dashboards. Many API providers offer free access tiers, making experimentation and prototyping accessible to all users.

Benefits of Free Cryptocurrency Price APIs

Developers and researchers turn to free crypto price APIs for several compelling reasons:

  1. Cost Efficiency: Free APIs lower the barrier to entry for indie developers, students, and startups.
  2. Rapid Prototyping: Test out ideas for trading bots, research tools, or data visualizations without financial commitment.
  3. Access to Multiple Exchanges: Many APIs aggregate data from several leading exchanges, improving accuracy and breadth.
  4. Flexible Integration: RESTful endpoints and SDKs make APIs compatible with most programming languages and frameworks.
  5. Support for Automation: Algorithmic strategies, alerting systems, and AI agents leverage live data feeds for analysis and response.

While free APIs may include usage limits or reduced feature sets compared to premium plans, they’re often sufficient for early-stage projects or low-volume analytics applications.

Key Features to Look For in a Crypto Price API

The rapidly evolving landscape of digital assets means that not all APIs are created equal. When selecting a free cryptocurrency price API, consider these criteria:

  • Coverage: Does the API support a wide variety of coins and tokens, and multiple exchanges?
  • Update Frequency: Is price data updated in real-time, or delayed?
  • Historical Data Depth: Can you retrieve historical OHLCV (open-high-low-close-volume) data for backtesting?
  • Rate Limits & Fair Usage: How many requests per minute/day? Is there a quota for free users?
  • Data Accuracy & Transparency: Is the data quality audited or aggregated from reliable sources?
  • Documentation & Community: Are there code samples, up-to-date docs, and community forums available for troubleshooting?
  • Additional Insights: Some APIs go beyond prices to include analytics, trading signals, and on-chain intelligence.

Evaluating these features will help you find an API suited to your project’s technical and analytical requirements.

The crypto ecosystem offers numerous well-maintained APIs with free tiers. The following are widely adopted among developers and researchers:

  • CoinGecko API: Covers thousands of cryptocurrencies, exchanges, and market data; generous rate limits.
  • CoinMarketCap API: Established source for global market cap rankings and price feeds.
  • CryptoCompare API: Offers real-time price data, news, and technical information.
  • Binance Public API: Direct market data from one of the world’s biggest exchanges, ideal for spot and futures data.
  • Token Metrics API: Combines real-time price data with AI-driven trading signals and on-chain insights, with a free API key available.

Some projects also offer open-source APIs that can be self-hosted, providing full customization at no cost beyond basic infrastructure.

How to Integrate a Free Crypto Price API: Step-by-Step

Integrating a free cryptocurrency price API into your application is typically a straightforward process. Here’s a broad overview, adaptable to most popular APIs:

  1. Sign Up & Get API Key: Register with your chosen provider to obtain an authentication token.
  2. Read API Documentation: Study endpoint references, limits, and example requests for your target data.
  3. Make Test Calls: Use tools like Postman or Curl to verify responses and get familiar with JSON structure.
  4. Code Integration: Use your preferred programming language (Python, JavaScript, etc.) to write GET requests, handle responses, and parse the data.
  5. Monitor Usage: Track rate limits/exceeded errors to optimize call frequency and avoid disruptions.
  6. Enhance & Analyze: Use the data to power dashboards, bots, signal generators, or AI-driven research tools.

Many APIs provide SDKs or code snippets to streamline setup, and active communities can assist with troubleshooting and integration tips.

Build Smarter Crypto Apps & AI Agents with Token Metrics

Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key

FAQs on Free Cryptocurrency Price APIs

Are free cryptocurrency price APIs reliable?

Most reputable free APIs offer reliable real-time or near real-time data. However, reliability can vary based on rate limits and geographic access. It’s good practice to use APIs from established providers and review uptime statistics for mission-critical applications.

Can I use free crypto APIs for commercial projects?

It depends on each provider’s terms of service. Some free APIs explicitly allow commercial use up to a quota, while others limit usage to personal or academic projects. Always check licensing and attribution requirements before launching an application for public or commercial use.

How do I secure my API key?

API keys should never be exposed in client-side code or public repositories. Store keys in environment variables or server-side configuration files, and implement rate-limiting logic where feasible to protect against abuse.

What limitations should I expect on free tiers?

Common restrictions include rate limiting (e.g., limited requests per second or day), reduced historical data coverage, lack of advanced analytics features, or lower priority for support and uptime. For ongoing or high-frequency use, plan for potential upgrades as your needs expand.

Can I get AI-driven analysis with crypto price APIs?

Some advanced APIs, such as Token Metrics, offer not only real-time price data but also AI-driven signals, ratings, and on-chain analytics. These insights can be used to augment research and support automated systems, though always review the provider's documentation for specifics.

Disclaimer

This article is for informational and educational purposes only and does not constitute investment advice, financial guidance, or a recommendation to buy, sell, or hold any digital assets. Always consult an independent advisor and conduct thorough research before using any crypto service or technology.

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