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Introducing the New Moonshots API Endpoint: Access High‑Potential Tokens Programmatically

Discover the new Moonshots API endpoint from Token Metrics. Access live AI‑curated crypto picks with a 65 % win rate. Build trading bots, backtest strategies, and more
Token Metrics Team
5 min
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The crypto market moves fast, and staying ahead requires more than just watching charts — it takes actionable data, delivered in real‑time. That’s why we’re excited to announce a major upgrade for developers, traders, and analysts: the Moonshots feature is now live as a Token Metrics API endpoint.

This new endpoint brings the same powerful insights from our Premium Moonshots dashboard directly into your apps, dashboards, and trading systems — programmatically. Whether you’re building a crypto trading bot, creating dynamic watchlists, or backtesting new strategies, the Moonshots API gives you everything you need to make smarter, faster decisions.

What Are Moonshots?

In crypto, “moonshots” are low‑cap tokens with high upside potential — the kind of high‑risk, high‑reward plays that can deliver outsized returns when identified early. At Token Metrics, our Moonshots aren’t just random picks.

They are:

  • Hand‑picked by AI: Our proprietary algorithms scan thousands of tokens daily.
  • Backtested for performance: Only tokens that meet strict historical success criteria make the cut.
  • Continuously updated: Live insights reflect evolving market conditions in real time.

Since launch, Moonshots have surfaced 43 tokens with a 65 % win rate across trades. The max single‑token return so far? 68 % — and counting.

For developers, this is no longer just data you view in our dashboard. It’s now available via API, ready to integrate into your workflows.

Why Use the Token Metrics Moonshots API?

1. Programmatic Access to High‑Potential Trades
Get direct access to live Moonshot signals without needing to log into the platform. Perfect for apps, analytics dashboards, or automated trading systems.

2. Build Smarter Watchlists
Automatically populate your app or dashboard with AI‑curated, high‑potential tokens.

3. Trigger Bots in Real Time
Integrate the Moonshots feed into your trading bots so they can act instantly when a new token surfaces.

What’s in the API Response?

When you call the /v2/moonshot-tokens endpoint, you’ll get:

  • Token name & ticker – For easy identification.
  • Return on Investment (ROI) – Performance since the signal went live.
  • Trader Grade – Token Metrics’ proprietary grade indicating trade potential.
  • Market Cap – So you can quickly gauge token size and liquidity.
  • Signal Date – When the Moonshot was flagged.

Want to see how these signals have performed over time? Use /v2/moonshots-tokens with type=past param for detailed past performance data.

Who Is This For?

The Moonshots API is designed for:

  • Developers: Integrate AI‑curated trading intelligence into your products.
  • Quant Traders: Automate your strategies with real‑time Moonshot signals.
  • Portfolio Managers: Discover high‑potential small‑cap tokens before the crowd.

How to Get Started

  1. Upgrade to the Advanced Plan
    Moonshots is part of our premium trading‑signal suite, available with the Advanced Plan.

  2. Get Your API Key
    Once upgraded, grab your API key from the Token Metrics API dashboard.

  3. Call the Endpoint

    • Live Moonshots: GET /v2/moonshot-tokens
    • Past Moonshots: GET /v2/moonshot-tokens with type=past

  4. Build and Deploy
    Use the data to feed your dashboards, bots, or applications.

Your code could be live in minutes.

Example Use Cases

1. Auto‑Populate Watchlists

Give your users instant access to a curated list of high‑potential tokens. No manual updates — just live, programmatic signals from the API.

2. Trading Bot Triggers

Connect Moonshots to your algorithmic trading strategies. When a new Moonshot signal appears, your bot can take action immediately.

Why Moonshots API Is a Game‑Changer

The Moonshots API takes one of our most popular Premium features and makes it actionable for builders and advanced traders. No more copy‑pasting token names from dashboards. No more manually tracking new signals. With programmatic access, you can:

  • React faster to new opportunities.
  • Automate trading or alert systems.
  • Enhance your products with cutting‑edge AI‑curated token lists.

This is the same data powering our Premium dashboards — now unlocked for programmatic use.

Performance at a Glance

Here’s what you can expect from Moonshots based on recent data:

  • Tokens surfaced: 43
  • Win rate: 65 %
  • Max single‑token return: 68 %
  • Average holding period: Short‑ to mid‑term trades (active monitoring recommended)

The Bottom Line

The new Moonshots API endpoint lets you turn insights into action. Whether you’re an individual trader looking to build a personal watchlist, a quant team running algorithmic strategies, or a product developer building the next great crypto platform, the Moonshots API provides a direct pipeline to AI‑curated, backtested token picks with a proven track record.

Don’t just watch the next big move — catch it before it becomes hindsight.

How to Access the Moonshots API

  1. Upgrade to Advanced Plan to unlock trading‑signal endpoints.
  2. Get your API key from the Token Metrics dashboard.
  3. Start calling /v2/moonshot-tokens today.

Have questions? Our team is available on Telegram (@tokenmetricsapi) to help you get up and running.

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About Token Metrics
Token Metrics: AI-powered crypto research and ratings platform. We help investors make smarter decisions with unbiased Token Metrics Ratings, on-chain analytics, and editor-curated “Top 10” guides. Our platform distills thousands of data points into clear scores, trends, and alerts you can act on.
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analysts, data scientists, and crypto engineers
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concise market insights and “Top Picks”
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Sponsored ≠ Ratings; research remains independent
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Token Metrics Team
Token Metrics Team

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Research

Exploring the Languages Used for Smart Contract Development

Token Metrics Team
5

Introduction

Smart contracts have become an integral part of blockchain technology, enabling automated, trustless agreements across various platforms. Understanding what languages are used for smart contract development is essential for developers entering this dynamic field, as well as for analysts and enthusiasts who want to deepen their grasp of blockchain ecosystems. This article offers an analytical and educational overview of popular programming languages for smart contract development, discusses their characteristics, and provides insights on how analytical tools like Token Metrics can assist in evaluating smart contract projects.

Smart contract languages are specialized programming languages designed to create logic that runs on blockchains. The most prominent blockchain for smart contracts currently is Ethereum, but other blockchains have their languages as well. The following section outlines some of the most widely-used smart contract languages.

  • Solidity: Often considered the standard language for Ethereum smart contracts, Solidity is a high-level, contract-oriented language similar in syntax to JavaScript and influenced by C++ and Python. It is statically typed and supports inheritance, libraries, and complex user-defined types. Solidity is compiled into EVM (Ethereum Virtual Machine) bytecode executable on Ethereum and compatible blockchains.
  • Vyper: Developed as an alternative to Solidity, Vyper emphasizes simplicity, auditability, and security. With a syntax inspired by Python, it is designed to be more readable and to reduce the potential for errors in contract code, though it currently has fewer features than Solidity.
  • Rust: Rust is gaining popularity especially on blockchains like Solana, Near, and Polkadot. It is a systems programming language known for safety and performance. Rust smart contracts tend to be compiled to WebAssembly (Wasm) bytecode, enabling cross-chain compatibility and faster execution on supported platforms.
  • Michelson: Michelson is a low-level stack-based language used to write smart contracts on Tezos blockchain. It is designed for formal verification, allowing high-security guarantees which is important for mission-critical applications.
  • Move: Move is a language developed by Facebook's Diem project and adapted by blockchains like Aptos and Sui. It offers resource-oriented programming to handle digital assets safely and efficiently.
  • Clarity: Used primarily on the Stacks blockchain, Clarity is a decidable language, which means actions of the contract can be predicted and verified before execution. It favors safety and transparency.

Criteria for Language Selection

Developers evaluate smart contract languages based on various factors such as security, expressiveness, ease of use, and compatibility with blockchain platforms. Below are some important criteria:

  1. Security Features: Languages like Vyper and Michelson prioritize simplicity and formal verification to minimize vulnerabilities.
  2. Community and Ecosystem: Solidity benefits from a large developer community, extensive documentation, and extensive tooling which facilitates easier development and auditing.
  3. Performance Efficiency: Languages compiled to Wasm such as Rust-based smart contracts can offer superior speed and reduced resource consumption.
  4. Formal Verification and Auditing: Languages that support rigorous mathematical verification methods help ensure contract correctness and prevent exploits.
  5. Interoperability: The ability of a smart contract to work across multiple blockchains enhances its utility and adoption.

Overview of Leading Smart Contract Languages

Solidity remains the dominant language due to Ethereum's market position and is well-suited for developers familiar with JavaScript or object-oriented paradigms. It continuously evolves with community input and protocol upgrades.

Vyper has a smaller user base but appeals to projects requiring stricter security standards, as its design deliberately omits complex features that increase vulnerabilities.

Rust is leveraged by newer chains that aim to combine blockchain decentralization with high throughput and low latency. Developers familiar with systems programming find Rust a robust choice.

Michelson’s niche is in formal verification-heavy projects where security is paramount, such as financial contracts and governance mechanisms on Tezos.

Move and Clarity represent innovative approaches to contract safety and complexity management, focusing on deterministic execution and resource constraints.

How AI Research Tools Support Smart Contract Analysis

Artificial Intelligence (AI) and machine learning have become increasingly valuable in analyzing and researching blockchain projects, including smart contracts. Platforms such as Token Metrics provide AI-driven ratings and insights by analyzing codebases, developer activity, and on-chain data.

Such tools facilitate the identification of patterns that might indicate strong development practices or potential security risks. While they do not replace manual code audits or thorough research, they support investors and developers by presenting data-driven evaluations that help in filtering through numerous projects.

Practical Considerations for Developers and Analysts

Developers choosing a smart contract language should consider the blockchain platform’s restrictions and the nature of the application. Those focused on DeFi might prefer Solidity or Vyper for Ethereum, while teams aiming for cross-chain applications might lean toward Rust or Move.

Analysts seeking to understand a project’s robustness can utilize resources like Token Metrics for AI-powered insights combined with manual research, including code reviews and community engagement.

Security should remain a priority as vulnerabilities in smart contract code can lead to significant issues. Therefore, familiarizing oneself with languages that encourage safer programming paradigms contributes to better outcomes.

Conclusion

Understanding what languages are used for smart contract development is key to grasping the broader blockchain ecosystem. Solidity leads the field due to Ethereum’s prominence, but alternative languages like Vyper, Rust, Michelson, Move, and Clarity offer different trade-offs in security, performance, and usability. Advances in AI-driven research platforms such as Token Metrics play a supportive role in evaluating the quality and safety of smart contract projects.

Disclaimer

This article is intended for educational purposes only and does not constitute financial or investment advice. Readers should conduct their own research and consult professionals before making decisions related to blockchain technologies and smart contract development.

Research

Exploring Trusted Crypto Exchanges: A Comprehensive Guide

Token Metrics Team
4

Introduction

With the increasing popularity of cryptocurrencies, selecting a trusted crypto exchange is an essential step for anyone interested in participating safely in the market. Crypto exchanges serve as platforms that facilitate the buying, selling, and trading of digital assets. However, the diversity and complexity of available exchanges make the selection process imperative yet challenging. This article delves into some trusted crypto exchanges, alongside guidance on how to evaluate them, all while emphasizing the role of analytical tools like Token Metrics in supporting well-informed decisions.

Understanding Crypto Exchanges

Crypto exchanges can broadly be categorized into centralized and decentralized platforms. Centralized exchanges (CEXs) act as intermediaries holding users’ assets and facilitating trades within their systems, while decentralized exchanges (DEXs) allow peer-to-peer transactions without a central authority. Each type offers distinct advantages and considerations regarding security, liquidity, control, and regulatory compliance.

When assessing trusted crypto exchanges, several fundamental factors come into focus, including security protocols, regulatory adherence, liquidity, range of supported assets, user interface, fees, and customer support. Thorough evaluation of these criteria assists in identifying exchanges that prioritize user protection and operational integrity.

Key Factors in Evaluating Exchanges

Security Measures: Robust security is critical to safeguarding digital assets. Trusted exchanges implement multi-factor authentication (MFA), cold storage for the majority of funds, and regular security audits. Transparency about security incidents and response strategies further reflects an exchange’s commitment to protection.

Regulatory Compliance: Exchanges operating within clear regulatory frameworks demonstrate credibility. Registration with financial authorities, adherence to Anti-Money Laundering (AML) and Know Your Customer (KYC) policies are important markers of legitimacy.

Liquidity and Volume: High liquidity ensures competitive pricing and smooth order execution. Volume trends can be analyzed via publicly available data or through analytics platforms such as Token Metrics to gauge an exchange’s activeness.

Range of Cryptocurrencies: The diversity of supported digital assets allows users flexibility in managing their portfolios. Trusted exchanges often list major cryptocurrencies alongside promising altcoins, with transparent listing criteria.

User Experience and Customer Support: A user-friendly interface and responsive support contribute to efficient trading and problem resolution, enhancing overall trust.

Overview of Some Trusted Crypto Exchanges

While numerous crypto exchanges exist, a few have earned reputations for trustworthiness based on their operational history and general acceptance in the crypto community. Below is an educational overview without endorsement.

  • Exchange A: Known for advanced security protocols and regulatory compliance, this platform supports a broad range of assets and offers an intuitive interface suitable for various experience levels.
  • Exchange B: Distinguished by high liquidity and extensive global reach, it incorporates transparent fees and educational resources designed to assist users in understanding market dynamics.
  • Exchange C: Offers both centralized and decentralized trading options, catering to users interested in flexible trading environments, with robust customer support channels.

These examples illustrate the diversity of trusted exchanges, highlighting the importance of matching exchange characteristics to individual cybersecurity preferences and trading needs.

Leveraging AI and Analytics for Exchange Assessment

The rapid evolution of the crypto landscape underscores the value of AI-driven research tools in navigating exchange assessment. Platforms like Token Metrics provide data-backed analytics, including exchange ratings, volume analysis, security insights, and user sentiment evaluation. Such tools equip users with comprehensive perspectives that supplement foundational research.

Integrating these insights allows users to monitor exchange performance trends, identify emerging risks, and evaluate service quality over time, fostering a proactive and informed approach.

Practical Steps for Researching a Crypto Exchange

  1. Verify Regulatory Status: Check official financial authority websites to confirm the exchange's registration and compliance status.
  2. Review Security Practices: Investigate the exchange’s implementation of security measures such as cold storage percentages, MFA, and incident history.
  3. Analyze Market Data: Utilize platforms like Token Metrics to explore trading volumes, liquidity, and user ratings.
  4. Examine Asset Listings: Assess the exchange’s supported cryptocurrencies and token listing policies to ensure transparency.
  5. Evaluate User Feedback: Search for community reviews and support responsiveness to detect potential red flags.
  6. Test User Interface: Navigate the platform’s interface, testing ease of use and access to necessary functionalities.

Common Risk Factors and Mitigation

Despite due diligence, crypto trading inherently involves risks. Common concerns linked to exchanges encompass hacking incidents, withdrawal delays, regulatory actions, and operational failures. Reducing exposure includes diversifying asset holdings, using hardware wallets for storage, and continuously monitoring exchange announcements.

Educational tools such as Token Metrics contribute to ongoing awareness by highlighting risk factors and providing updates that reflect evolving market and regulatory conditions.

Conclusion

Choosing a trusted crypto exchange requires comprehensive evaluation across security, regulatory compliance, liquidity, asset diversity, and user experience dimensions. Leveraging AI-based analytics platforms such as Token Metrics enriches the decision-making process by delivering data-driven insights. Ultimately, informed research and cautious engagement are key components of navigating the crypto exchange landscape responsibly.

Disclaimer

This article is for educational purposes only and does not constitute financial, investment, or legal advice. Readers should conduct independent research and consult professionals before making decisions related to cryptocurrency trading or exchange selection.

Research

Where to Ask Beginner Blockchain Questions: A Practical Guide

Token Metrics Team
3

Introduction

Blockchain technology has rapidly evolved into a foundational innovation affecting many industries. For newcomers eager to understand the basics, finding reliable and informative platforms to ask beginner blockchain questions is essential. This guide explores where you can pose your questions, engage with experts, and leverage analytical tools to deepen your understanding.

Why Ask Questions in the Blockchain Space?

Blockchain, despite its increasing adoption, remains a complex and multifaceted topic involving cryptography, decentralized networks, consensus mechanisms, and smart contracts. Beginners often require clear explanations to grasp fundamental concepts. Asking questions helps clarify misunderstandings, connect with experienced individuals, and stay updated with evolving trends and technologies.

Online communities are often the first port of call for learners. They foster discussion, provide resources, and offer peer support. Some trusted platforms include:

  • Reddit: Subreddits like r/Blockchain, r/CryptoTechnology, and r/ethereum have active members willing to discuss beginner questions.
  • Stack Exchange: The Bitcoin Stack Exchange and Ethereum Stack Exchange provide Q&A forums with a more technical focus and community voting.
  • Discord Groups: Many blockchain projects and educational communities host Discord servers that encourage real-time conversations.
  • Telegram Channels: Similar to Discord, Telegram channels often feature moderated groups dedicated to blockchain education.
  • BitcoinTalk Forum: One of the oldest cryptocurrency forums, it has sections welcoming beginners’ questions across blockchain topics.

Educational Platforms with Question Features

Several courses and online platforms integrate Q&A functionalities to help learners ask questions in context, such as:

  • Coursera and edX: Blockchain courses often include discussion boards where beginners can post queries related to coursework.
  • Medium and Dev.to: While primarily content platforms, comments sections and dedicated posts often invite questions and discussions.
  • Github Discussions: For those interested in open-source blockchain projects, GitHub provides a collaborative environment to ask technical questions.

Leveraging AI-Driven Research Tools

Advanced tools now assist users in analyzing blockchain projects and data, complementing learning and research efforts. Token Metrics is an example of an AI-powered platform that provides ratings, analysis, and educational content about blockchain technologies.

By using such platforms, beginners can strengthen their foundational knowledge through data-backed insights. Combining this with community Q&A interactions enhances overall understanding.

Best Practices for Asking Blockchain Questions

To get useful responses, consider these tips when posting questions:

  1. Be specific: Clearly state your question’s context and which aspects need clarification.
  2. Research beforehand: Check existing threads or resources to avoid duplicates.
  3. Use proper terminology: Even basic usage of correct terms makes understanding easier for responders.
  4. Be patient and polite: Community members help voluntarily; respectful interactions encourage assistance.

Additional Learning Resources

Besides Q&A, structured learning is valuable. Consider:

  • Books and Articles: Introductory texts on blockchain fundamentals.
  • Video Tutorials: Platforms like YouTube feature comprehensive beginner guides.
  • Webinars and Podcasts: Regular industry updates can enhance contextual understanding.

Disclaimer

This article is intended solely for educational purposes and does not constitute financial, investment, or legal advice. Always conduct independent research and consult professional advisors before making decisions related to blockchain technology or cryptocurrency.

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