Crypto Basics

What are NFTs? NFT Art Explained | Future of NFTs

Learn more about NFTs and their future.
Token Metrics Team
6 minutes
MIN

You may have heard of CryptoPunks, Bored Ape Yacht Club, and VeeFriends, but you may not understand what they are. These names may sound like random combinations of words, but they actually represent some of the most valuable non-fungible token (NFT) projects that have emerged in the past few years.

The world of crypto art and NFTs may appear complex and mysterious, with a mix of celebrities, influencers, and internet experts. But it's not as confusing as it seems. Let's start from the beginning.

What Is An NFT?

Nearly all crypto art that has been introduced to the market has been done so through the minting of non-fungible tokens (NFTs). NFTs are digital assets that have verified proof of ownership. While "fungible tokens" like the US dollar can be easily traded (like exchanging 4 quarters for a dollar), each NFT is unique and cannot be easily traded. For example, imagine a sketch of "Starry Night" by Vincent Van Gogh that has been authenticated by a fine art appraiser as an original. This sketch would be non-fungible because you could not easily exchange it for, say, an original sketch by Leonardo da Vinci. This concept is easy to understand with tangible items like art pieces or collectible cards, but when digital assets can range from a celebrity tweet to an iconic meme to a picture of a pimped out animated ape, it may be confusing.

How Can We Ensure Unique Authenticity?

This is where NFTs enter the scene. Say you are a graphic design artist who just finished your newest 1-of-1 piece of work and you want to sell it as an NFT. Whoever purchases this piece would not only receive the artwork but they would also receive a “digital receipt” that proves that this exact piece is original, unique and authentic.

“But What If I Just Screenshot This Digital Artwork? Wouldn’t I Technically Own the Piece as Well?”

This is the first question that many have mockingly asked on social media and internet forums. The easy answer: yes, you can screenshot practically all digital artwork, but no, that does not mean you own it.

For example, millions of people swarm into the Louvre every year, waiting patiently amidst a giddy crowd, just to capture a picture of the priceless Mona Lisa. Obviously, a picture of the Mona Lisa saved on your iPhone camera roll does not mean that you own that painting.

NFTs work the same way.

Just as the Louvre paid millions of dollars to own, maintain, and display the Mona Lisa in their museum, NFT buyers do the same. However, the main difference is that instead of paying dollars to house the art in a fancy museum, they are paying with cryptocurrency and housing their art in a virtual showcase, so to speak.

This is the basis for how NFTs, cryptocurrency, and blockchain technology are establishing a new and lucrative market for digital art and artists.

The Art of Being Digital

In a 2021 interview, Gary Vaynerchuk (founder of Vayner Media and creator of VeeFriends) made the following statement regarding NFTs. The interviewer remarks on the tangibility of NFTs stating, "the digital aspect, like, you can't see it" — Gary jumps in:

"Well, you can't see a blue check on Instagram? I don't walk around the world with a blue check tattooed on my forehead, but everybody sees it. You can't see my 9 million followers on Instagram, or can you? I would argue the reverse. I would argue that people can't see most of the fancy things you have in your house; that people can see more digital than real life."

And he's onto something, and I'd like to call that something "The Art of Being Digital". In our highly digitized world, our online outreach and interconnectivity is wildly amplified. Gary Vee currently has 9.9 million followers on Instagram — but without access to the internet — he has no way of interacting with that community and tapping into the true power of those 9.9 million people.

Why Do NFTs Have Value?

The value of an NFT is determined by the collective intentionality of those who are willing to buy and sell them. In other words, the value of an NFT is based on what people are willing to pay for it. This is similar to the way that the value of traditional art is determined by the market, with the value being based on factors such as the artist's fame and the rarity of the work.

The Tom Brady example illustrates this idea. On the surface, it might seem strange that someone would pay $430k for a digital picture of a cartoon ape. However, if we consider the fact that the buyer was Tom Brady and the seller was the well-known digital artist Trevor Jones, it becomes clearer that the value of the NFT was determined by the collective intentionality of those involved in the transaction.

Furthermore, the digital art of NFTs offers more than just a digital file and a high price tag. NFTs provide the ability for digital artists to monetize their work and for collectors to own and trade unique digital items. This opens up new opportunities for artists and collectors alike, and has led to the growth of a vibrant and exciting market for NFTs.

Join The Club

Celebrities such as Tom Brady, Post Malone, Steph Curry, and Jimmy Fallon have been buying Bored Ape NFTs. Bored Ape NFTs were introduced by the Bored Ape Yacht Club (BAYC) in April 2021 at a price of 0.08 Ethereum (ETH) each, or about $190 at the time. Since then, the price of Bored Apes has increased significantly, yielding substantial returns for early investors.

In addition to the potential for financial gain, buying a Bored Ape NFT also grants the buyer access to the BAYC community. This includes access to the BAYC Discord, where buyers can connect with other members of the club, including celebrities, and collaborate on NFT-related projects. BAYC also gives members priority access to future NFT drops, allowing them to expand their collections.

Minting and selling NFTs can also be highly lucrative for those who create their own NFT projects. This is another reason why celebrities and others may be interested in the NFT market. Creating and selling NFTs allows artists and other creators to monetize their digital work and gives collectors the opportunity to own unique digital items. The growth of the NFT market has created new opportunities for both artists and collectors, leading to a vibrant and exciting market for NFTs.

Blockchain, Smart Contracts, and Secondary Sales

Blockchain technology is used to record the conversion of traditional currency into cryptocurrency, such as Ethereum (ETH), in the NFT market. This transaction is recorded on the blockchain as public information that is easily accessible to anyone who wants to view it. This ensures transparency and helps to prevent fraud in the NFT market.

Smart contracts are programs stored on the blockchain that allow NFT creators to stipulate the conditions of resale. For example, a creator could draft a smart contract that allows them to earn a 10% commission on any subsequent resales of their NFT. This allows creators to continue to benefit from the success of their work, even after the initial sale.

Smart contracts also facilitate secondary sales in the NFT market. When the value of an NFT increases, the smart contract associated with that NFT can automatically distribute any profits from the sale to the relevant parties, such as the creator or the NFT platform. For example, if the value of Tom Brady's Bored Ape NFT increased from $430k to $530k, the smart contract could automatically distribute the $100k profit to the Bored Ape Yacht Club, if that was stipulated in the contract.

This use of smart contracts helps to ensure that all parties are fairly compensated for their contributions to the NFT market, and it allows for efficient and transparent transactions without the need for intermediaries.

The Future Of Crypto-Art

Grammy-winning artist Tyler, the Creator recently questioned the value of NFTs, stating that most of the examples he has seen are not "beautiful art." While art is subjective and many NFTs are AI-generated, there are still many ways in which NFTs can offer value in the real world.

First, NFTs can be used to represent tangible experiences and achievements. Instead of framing a concert ticket or a season pass, these items could be represented as NFTs, allowing individuals to proudly display their experiences and achievements in the digital world. This could be especially beneficial for VIP experiences and exclusive memberships.

Second, NFTs can provide a level of authenticity and scarcity that cannot be achieved with physical items. This is especially useful for limited edition items and collectibles, which can be authenticated and traded easily on the blockchain.

Third, the use of smart contracts can ensure that all parties are fairly compensated for their contributions to the NFT market. This allows for transparent and efficient transactions without the need for intermediaries.

Overall, while some may dismiss NFTs as "silly little digital artworks," they have the potential to reshape not just the art world, but the world itself.

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Token Metrics Team
Token Metrics Team

Recent Posts

Research

Assessing the Reliability of Free Crypto APIs for Live Trading

Token Metrics Team
6
MIN

As cryptocurrency markets become more dynamic and automated trading grows in popularity, the demand for real-time, reliable market data has soared. For developers and quantitative traders, free crypto APIs represent a gateway to capturing and analyzing live data. But just how dependable are these resources when used for real-money, live trading environments?

Understanding Free Crypto API Infrastructure

APIs (Application Programming Interfaces) are the digital bridges that connect traders, bots, and apps to the real-time world of digital assets. Free crypto APIs typically pull live price feeds, order book data, and on-chain signals from exchanges or aggregators. While their accessibility is attractive for independent traders and developers, it’s important to consider the infrastructure behind these offerings.

  • Data Source and Aggregation: Free APIs may source from a single exchange, an aggregator, or a blend of public on-chain data. The breadth and diversity of sources can impact reliability and coverage.
  • Rate Limits: Most free APIs impose strict rate limits on the number of requests per minute/hour, ensuring fair use—but potentially introducing data gaps or lags in high-frequency operations.
  • Latency: Infrastructure investment greatly impacts how quickly data is delivered. Free APIs tend to have higher average latencies than their enterprise versions, which can affect market responsiveness.

Key Reliability Criteria for Live Trading

“Reliability” can mean different things depending on your trading strategy and risk tolerance. In a live trading context, consider these factors:

  • Uptime and Service Level: Continuous uptime is vital for automated trading systems. Free APIs may experience more frequent outages or maintenance windows compared to paid counterparts, impacting live trading reliability.
  • Data Consistency: Inconsistent data—such as missing trades, duplicate ticks, or out-of-order information—may disrupt algorithms and risk management strategies.
  • Latency and Real-Time Performance: Delayed data, even by a few seconds, can result in substantial slippage for shorter time frames or high-frequency strategies.
  • Depth of Market Coverage: Some free APIs report top-of-book (best bid/ask) only or have limited historic depth, which restricts analysis for advanced trading systems.

For example, a scalping bot reacting to slight price changes may be more susceptible to latency and inconsistency than a swing trading algorithm using averaged price data.

Risks and Limitations of Using Free Crypto APIs

While cost-free APIs unlock learning and prototyping opportunities, several risks arise when deploying them in live trading:

  • Sudden Changes and Deprecation: Free APIs can change endpoints, formats, or shut down with minimal notice—potentially breaking integrations and impacting trading operations.
  • Security and Rate Limiting: Without enterprise-grade authentication, free APIs may be more vulnerable to abuse. Rate limits may throttle live signals, leading to missed trades.
  • Compliance and Transparency: Free providers are not always transparent about their data sources or real-time status, which complicates audit trails and compliance routines.

Many free APIs offer limited or no customer support. If a connectivity or data issue arises during a live session, troubleshooting and resolution may depend solely on community forums or documentation.

Mitigation Strategies: Improving Reliability in Live Trading

To leverage free crypto APIs effectively for live trading while minimizing operational risk, consider strategic mitigations:

  1. Redundancy: Integrate multiple API providers where possible and implement fallback logic to handle service interruptions.
  2. Monitoring and Alerting: Establish health checks and monitoring for your data feed to detect outages or latency spikes in real time.
  3. Data Validation: Implement consistency checks, deduplication, and timestamp verification to mitigate risks of corrupted or stale data.
  4. Rate Limit Handling: Build in adaptive throttling and graceful degradation so your algorithm can operate even when rate limits are crossed.
  5. Migration Planning: Prepare for the possibility of API changes or deprecation by modularizing your integration and tracking updates from providers.

Exploring hybrid approaches—such as combining free APIs for lower-priority tasks (backtesting, monitoring) and premium offerings for mission-critical execution—can balance cost-effectiveness with higher reliability.

The Role of AI and Professional API Services

Advanced trading increasingly relies on artificial intelligence and machine learning for real-time insights. Modern tools, like Token Metrics, combine AI-driven analytics with unified API access, allowing systematic traders to benefit from a blend of machine intelligence and robust data infrastructure.

  • Aggregated Insights: AI analytics, layered atop diverse live feeds, can deliver actionable signals while filtering out noise typical in volatile markets.
  • Unified API Access: Professional APIs consolidate multi-exchange, on-chain, and social data through a single integration—reducing complexity and mitigating single points of failure.

For projects scaling toward institutional-grade reliability, partnering with services that demonstrate regular uptime guarantees, verified data sources, transparent change logs, and responsive support stands as a best practice.

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Are free crypto APIs accurate enough for live trading?

Accuracy largely depends on the provider. Many free APIs accurately reflect exchange-reported prices, but some may lag or have occasional data outages. For critical decision-making, always monitor results and consider validating with secondary sources.

What are common limitations of free crypto APIs?

Typical limitations include request rate caps, reduced data granularity, restricted market coverage, and potential for sudden API changes. Free APIs generally provide less support, documentation, and reliability assurances compared to premium alternatives.

How can I improve reliability when using free APIs for live trading?

Diversify your data sources, implement real-time monitoring, validate incoming data for unusual gaps, and be prepared to switch providers or endpoints. Modular integration and redundancy help lessen single points of failure.

Do free crypto APIs provide historical market data?

Some free APIs offer limited historical data, typically at a lower granularity or restricted to recent time windows. Comprehensive historical datasets often require a premium subscription or use of open-source repositories.

Is there a risk in using free APIs for live trading?

Yes. Risks include service interruptions, unexpected endpoint changes, rate limiting, and potentially less accurate or delayed data. Always test your setup rigorously before committing to live trading systems relying on free APIs.

Disclaimer

This article is for educational and informational purposes only. It does not constitute investment advice, predictions, or recommendations. Always conduct independent due diligence and consult a professional before making trading or financial decisions.

Research

How Crypto APIs Enable Backtesting of Trading Strategies

Token Metrics Team
6
MIN

Imagine testing your own crypto trading strategy against years of historical data in just minutes—all without writing custom data pipelines or hunting for spreadsheets. With today’s advanced crypto APIs, backtesting strategies is not just possible; it’s increasingly accessible, scalable, and data-rich. But how exactly do these APIs empower traders, analysts, and developers to scientifically evaluate their approaches before risking any real capital?

What is Backtesting in Crypto?

Backtesting is the process of simulating a trading strategy using historical market data to gauge its theoretical performance. In the fast-moving world of cryptocurrencies, where volatility is high and market microstructure can change rapidly, backtesting serves as a critical first step to determine whether a strategy is robust or needs refinement.

The goal is to replay past price action under the rules of a trading algorithm or indicator-driven approach, tracking entries, exits, and outcomes as if the trades were placed in real time. Backtesting can help expose hidden risks, optimize parameters, and identify strategies likely to withstand real-world market variability.

The Role of Crypto APIs in Backtesting

Crypto APIs act as bridges between real-time market data, historical databases, and user applications. They streamline access to deep historical candlestick data (OHLCV), order book snapshots, volume, on-chain metrics, and even derived indicators. Instead of manually collecting and cleaning datasets—which can be error-prone and time-consuming—users can retrieve consistent, up-to-date data directly via API endpoints.

Key advantages of using crypto APIs for backtesting include:

  • Speed & Automation: APIs enable rapid retrieval of large datasets, automating the backtesting pipeline from data ingestion to results analysis.
  • Granular Historical Data: Many leading APIs provide tick-level, minute-level, or hourly data across years of market activity, allowing for precise simulation and fine-tuning.
  • Streamlined Integration: APIs typically follow RESTful or WebSocket standards, making them compatible with a wide range of programming languages and backtesting frameworks.
  • Comprehensive Metric Coverage: Some APIs, such as those from Token Metrics, offer not just market prices but also sentiment, on-chain action, and advanced analytics to enrich backtesting models.

How to Backtest Crypto Strategies Using APIs

Backtesting with crypto APIs generally involves a series of clear steps:

  1. Selecting an API Provider: Choose an API that offers reliable historical price data for your target assets and intervals, such as daily, hourly, or minutely candlesticks. Consider additional features like on-chain analytics or sentiment scores for more complex models.
  2. Defining the Strategy Rules: Clearly articulate the algorithm or indicators your strategy will follow—such as moving averages, RSI thresholds, or custom AI models.
  3. Retrieving Data: Use the API to pull the necessary historical data. This may involve authentication and specifying the desired timeframes and assets.
  4. Simulating Trades: Implement your strategy’s logic in a programming language or backtesting framework, running virtual trades on the downloaded data to record entries, exits, and outcomes.
  5. Analyzing Results: Evaluate performance metrics like returns, drawdowns, Sharpe ratio, and win/loss rates. Consider whether the outcome is statistically significant and robust to changing market regimes.

Popular open-source backtesting tools such as Backtrader, QuantConnect, and custom Python scripts often use APIs for dynamic data ingestion. For more advanced research, APIs that provide sentiment or on-chain metrics, such as those from Token Metrics, allow users to experiment with hybrid statistical and AI-driven strategies.

Limitations and Best Practices

While crypto APIs make backtesting efficient, there are important considerations to keep in mind:

  • Data Quality and Completeness: Incomplete, inaccurate, or latency-decoupled historical records may lead to misleading results. Always vet the API’s data source and track any known outages or anomalies.
  • Overfitting Risk: Tuning a strategy too closely to historical patterns can yield strong backtested metrics but poor real-world performance. Use out-of-sample testing and cross-validation where possible.
  • Market Microstructure: Some APIs lack order book depth or granular trade-level timestamps, which may mask slippage, spreads, or liquidity constraints relevant for high-frequency strategies.
  • Execution Gaps: Backtesting doesn’t account for changes in exchange APIs, latency, or real order execution mechanics unless explicitly modeled.

Adhering to robust modeling practices—such as walk-forward validation, parameter sensitivity checks, and realistic simulation of transaction costs—can help reduce many of these risks.

AI-Powered Backtesting and the Future of Crypto Strategy Testing

The intersection of AI and crypto API backtesting is opening new frontiers in quantitative research. Machine learning and AI models can analyze vast arrays of features, detect non-obvious patterns, and dynamically adapt strategies based on real-time and historical inputs.

Cutting-edge APIs are supporting this evolution by providing not only raw historical data, but also feature-rich analytics: smart signals, alternative data, and even pre-trained AI/ML models. By integrating these offerings into their backtesting framework, developers and quant teams can iterate on more sophisticated strategies, potentially leading to more robust and adaptive trading algorithms.

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Frequently Asked Questions

What types of data can crypto APIs provide?

Crypto APIs typically offer a wide range of data: historical price (OHLCV), order book snapshots, trade history, volume, on-chain analytics, exchange metadata, and sometimes news or sentiment indicators. Comprehensive APIs, like those from Token Metrics, also deliver AI-generated signals and analytics.

Do I need advanced programming skills to backtest with APIs?

Not necessarily. While a working knowledge of Python or another scripting language helps, many open-source backtesting platforms or low-code tools can work with API data. Some API providers also offer interactive documentation and code samples to ease integration.

Can I use free crypto APIs for backtesting?

Yes, many exchanges and analytics platforms provide free tiers of their APIs, though they may limit data range, request frequency, or supported assets. For deeper, enterprise-grade backtesting, paid APIs often provide extended histories and premium analytics.

What are some pitfalls to avoid in API-based backtesting?

Watch out for data gaps or errors, curve fitting to historical anomalies, and failing to account for transaction fees or real-world execution delays. Always test strategies on pristine, out-of-sample data for realistic results.

How is AI being used in crypto backtesting?

AI and machine learning increasingly help in feature selection, anomaly detection, predictive analytics, and adaptive strategy design. APIs that offer pre-processed AI indicators or alternative data can jumpstart this process, making it more accessible for both novice and advanced researchers.

Disclaimer

This article is for informational and educational purposes only. It does not constitute investment, legal, or financial advice. The mention of any tool, platform, or service is for educational context. Always conduct your own research and consult professional advisors before making financial decisions.

Research

How One API Can Streamline Trading Across Multiple Crypto Exchanges

Token Metrics Team
6
MIN

Managing crypto trading across several exchanges can be complicated, especially as the digital asset market expands rapidly. For developers, traders, and automated systems, switching between multiple exchange platforms often leads to fragmented workflows, inconsistent data, and increased operational risks. But can you solve this challenge by using a single API to trade across multiple crypto exchanges?

Understanding Crypto APIs and Multi-Exchange Trading

APIs, or Application Programming Interfaces, have become the backbone of modern crypto trading. Most centralized exchanges—like Binance, Coinbase, or Kraken—offer proprietary APIs, enabling users to execute trades, obtain real-time prices, manage portfolios, and stream account activity programmatically. Traditionally, each exchange requires users to generate unique API keys and implement its specific syntax and rules, which makes integrating multiple platforms into a unified workflow an ongoing challenge.

Multi-exchange trading is increasingly common for several reasons:

  • Diversification: Spreading assets across exchanges mitigates counterparty risk.
  • Liquidity: Some pairs or markets may have better availability and tighter spreads on certain exchanges.
  • Arbitrage: Traders seek price differences across exchanges for potential profit opportunities.

Attempting to manage these scenarios manually—or through siloed APIs—can result in lost efficiency and missed opportunities.

The Promise of Unified API Integrations

A unified API for crypto trading consolidates access to multiple exchanges behind a single set of endpoints, abstracting the idiosyncrasies of each platform. This approach offers several potential benefits:

  • Simplified Codebase: Developers write integration logic once, not for every exchange.
  • Consistent Data Structures: The same data model applies regardless of the underlying exchange, improving reliability and analysis.
  • Centralized Authentication: Exchange credentials and API keys can be managed in one secure place.
  • Faster Deployment: Connecting to new exchanges often requires just configuration, not fresh code development.

Several solutions have emerged to deliver this unified experience. Independent aggregator services and open-source libraries—such as CCXT (CryptoCurrency eXchange Trading Library), 1inch (for DEX aggregation), or specialized enterprise APIs—translate commands from a user into the correct format for the targeted exchange and relay responses back to the application.

Challenges and Considerations of Multi-Exchange APIs

Despite their promise, there are important technical and operational considerations when using a unified API to trade across exchanges:

  1. API Limitations and Rate Limits: Each exchange imposes different request/second caps and may throttle or ban aggressive use. Aggregators must intelligently manage these restrictions to avoid disruptions.
  2. Latency and Data Consistency: Real-time price and account data may update at slightly different speeds per exchange, creating opportunities for short-term mismatches.
  3. Security and Credential Management: Centralizing API keys increases both convenience and responsibility. Always adopt best security practices, like encryption, regular key rotation, and principle of least privilege.
  4. Feature Parity: Not all exchanges support the same order types, margin trading, or withdrawal mechanisms—a unified API might expose only a subset of universal features, or try to map advanced functionality via custom logic.
  5. Compliance and KYC: Aggregated services may still require you to verify your identity individually on every exchange, and must comply with relevant jurisdictional regulations.

Before adopting a unified API, carefully evaluate each provider’s support for your target exchanges, ongoing maintenance, customer support, and transparency regarding reliability and uptime.

Use Cases and Scenarios for One-API Multi-Exchange Trading

Unified API approaches are particularly valuable for:

  • Algorithmic and Quantitative Trading: Bots and quant models can arbitrage or implement sophisticated strategies without manual exchange integration.
  • Portfolio Management: Real-time balance checks, PnL tracking, and consolidated analytics across all holdings.
  • AI-Driven Trading Tools: With data aggregated from multiple locations, AI models can train, backtest, and operate on richer, more consistent datasets.
  • Building Crypto Apps and Dashboards: Developers can embed charts, strategies, and actionable tools for users who may deposit assets with many different third-party exchanges.

Choosing the right multi-exchange API solution depends on your operational needs, preferred data formats, scalability goals, and trust in the vendor’s security protocols. Some organizations also combine unified APIs with bespoke integrations for specialized features or liquidity.

The Role of AI and Advanced Analytics in API-Driven Trading

Modern trading strategies are increasingly shaped by AI and predictive analytics. When paired with unified APIs, AI tools can:

  • Automatically identify arbitrage opportunities by detecting real-time price differences across platforms
  • Optimize order routing for best execution and minimal slippage
  • Risk-manage portfolios using aggregated signals—from market data, order books, and on-chain analytics
  • Enable smarter alerting and automated trading logic

For example, platforms like Token Metrics offer AI-powered insights that can be integrated into multi-exchange trading workflows via robust APIs. Access to aggregated signals and analytics enhances decision accuracy and automation capabilities in an increasingly complex trading environment.

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FAQs About Trading with One API Across Exchanges

What exchanges are supported by unified trading APIs?

Coverage varies by provider, but leading multi-exchange APIs often support integrations with major centralized exchanges—like Binance, Coinbase Pro, Kraken, Bitfinex—as well as some decentralized platforms. Always check providers’ documentation for updated support lists.

Are there security risks with centralized API management?

Yes, consolidating your exchange API keys introduces single points of vulnerability. Use strong authentication, encrypted storage, access controls, and monitor for suspicious access. Select API providers with strong security track records and certifications.

Do unified APIs support advanced order types (like stop loss or OCO)?

Many unified APIs prioritize compatibility with basic order types (e.g., limit, market orders), but advanced orders may be available only if the destination exchange supports them. Some aggregators implement custom logic to approximate complex order types. Review each API’s documentation for order-type coverage.

How do fees work with multi-exchange trading APIs?

Fees are typically passed through transparently to the underlying exchange. Some unified APIs may also levy their own usage or subscription fees. Review the pricing page and terms of service before integrating any multi-exchange API.

Can I use a unified API for both centralized and decentralized exchanges?

Certain unified or aggregator APIs support both exchange types, but you may experience differing levels of feature parity and security requirements. Decentralized exchanges often require wallet-based authentication, which may require additional integration steps.

Disclaimer

This article is intended for informational and educational purposes only. It does not constitute financial, investment, or legal advice. Crypto markets carry risk—always conduct your own research and consider regulatory compliance before using trading APIs or integrating with exchanges.

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