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REST API Explained: Design, Use Cases & Best Practices

Understand REST API fundamentals, design patterns, security, and observability. Practical guidance for engineers building scalable APIs and integrating services using modern best practices.
Token Metrics Team
5
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In today's interconnected digital ecosystem, REST APIs have become the backbone of modern web applications, mobile apps, and data exchange platforms. Whether you're building a cryptocurrency trading platform, integrating blockchain data, or developing any web service, understanding REST API architecture is essential for creating scalable and efficient applications. This comprehensive guide explores REST API design principles, real-world use cases, and best practices that developers need to master.

Understanding REST API Architecture

REST, which stands for Representational State Transfer, is an architectural style that defines a set of constraints for creating web services. A REST API, also known as a RESTful API, allows different software applications to communicate with each other over HTTP protocols. The beauty of REST lies in its simplicity and stateless nature, making it the preferred choice for developers building everything from social media platforms to cryptocurrency APIs.

When a client makes a request to a REST API, it transfers a representation of the state of the requested resource to the client. This representation can be delivered in various formats, with JSON being the most popular choice in modern applications, especially in crypto APIs and blockchain data services. The stateless nature of REST means that each request from a client contains all the information needed to process that request, without relying on stored context on the server.

Core Components of REST API Design

The foundation of effective REST API design rests on several key components that work together to create a cohesive system. Resources represent the fundamental concept in REST architecture, where everything is considered a resource that can be accessed through a unique identifier known as a URI or Uniform Resource Identifier. For instance, in a cryptocurrency API, resources might include digital assets, market data, trading pairs, or wallet addresses.

HTTP methods form the second pillar of REST API design, providing the verbs that define actions on resources. GET requests retrieve data without modifying it, making them perfect for fetching crypto market data or blockchain information. POST requests create new resources, such as submitting a new transaction or creating a wallet. PUT requests update existing resources completely, while PATCH requests modify specific fields. DELETE requests remove resources from the system. Understanding when to use each method is crucial for building intuitive and predictable APIs.

The URI structure in a well-designed REST API should be logical, consistent, and self-documenting. Rather than using verbs in URLs, REST APIs rely on nouns to represent resources, with HTTP methods conveying the action. For example, a crypto API endpoint might look like /api/v1/cryptocurrencies/bitcoin/price rather than /api/v1/getCryptocurrencyPrice. This approach creates cleaner, more maintainable code that developers can understand intuitively.

REST API Best Practices for Production Systems

Implementing version control in your REST API is not optional but essential for maintaining backward compatibility as your service evolves. Including the version number in the URL path, such as /api/v1/ or /api/v2/, allows you to introduce breaking changes in new versions while supporting legacy clients. This practice is particularly important for cryptocurrency APIs where trading bots and automated systems depend on consistent endpoints.

Authentication and security stand as paramount concerns in REST API development, especially when dealing with sensitive data like cryptocurrency transactions or blockchain information. Token-based authentication using JSON Web Tokens (JWT) has emerged as the industry standard, providing secure, stateless authentication that scales well. For crypto APIs handling financial data, implementing API keys, rate limiting, and encryption becomes non-negotiable to protect user assets and maintain system integrity.

Error handling deserves careful attention in REST API design. Your API should return appropriate HTTP status codes that clearly communicate what happened during request processing. A 200 status indicates success, 201 signifies successful resource creation, 400 indicates a bad request from the client, 401 means unauthorized access, 404 signals that a resource wasn't found, and 500 indicates a server error. Accompanying these status codes with clear, actionable error messages in the response body helps developers debug issues quickly.

Cryptocurrency APIs and REST Architecture

The cryptocurrency industry has embraced REST APIs as the primary method for accessing blockchain data, market information, and trading functionality. Crypto APIs built on REST principles enable developers to integrate real-time cryptocurrency prices, historical market data, trading volumes, and blockchain analytics into their applications seamlessly. Token Metrics, a leader in crypto analytics and data services, offers one of the most comprehensive cryptocurrency APIs in the market, providing developers with access to advanced metrics, AI-driven insights, and real-time market data through a well-designed RESTful interface.

When building or consuming crypto APIs, developers must consider the unique challenges of blockchain technology. Cryptocurrency market data requires high-frequency updates due to the volatile nature of digital assets. A robust crypto API must handle thousands of requests per second while maintaining low latency and high availability. Token Metrics addresses these challenges by providing a scalable REST API infrastructure that delivers accurate cryptocurrency data, token ratings, and market analytics to developers, traders, and institutional clients.

The integration of blockchain APIs with REST architecture has opened new possibilities for decentralized applications and financial technology. Developers can now query blockchain transactions, check wallet balances, monitor smart contract events, and access DeFi protocols through simple HTTP requests. This accessibility has accelerated innovation in the crypto space, allowing developers to build sophisticated trading platforms, portfolio trackers, and analytics dashboards without managing blockchain nodes directly.

Real-World Use Cases of REST APIs

REST APIs power countless applications across industries, demonstrating their versatility and reliability. In the financial technology sector, cryptocurrency exchanges rely on REST APIs to provide trading functionality to their users. These APIs enable programmatic trading, allowing algorithmic traders to execute strategies, monitor positions, and manage risk across multiple markets. Token Metrics leverages REST API technology to deliver cryptocurrency intelligence, offering endpoints for token grades, trader grades, market predictions, and comprehensive crypto market analysis.

Mobile applications represent another significant use case for REST APIs. Every time you check cryptocurrency prices on your phone, post on social media, or stream music, REST APIs work behind the scenes to fetch and deliver that data. The lightweight nature of REST makes it ideal for mobile environments where bandwidth and battery life are concerns. Crypto portfolio tracking apps, for instance, use REST APIs to aggregate data from multiple exchanges and blockchain networks, presenting users with a unified view of their digital asset holdings.

Enterprise systems increasingly adopt REST APIs for integration and automation. Companies use REST APIs to connect customer relationship management systems, payment processors, inventory databases, and analytics platforms. In the blockchain and cryptocurrency domain, businesses integrate crypto payment APIs to accept digital currencies, use blockchain APIs to verify transactions, and leverage analytics APIs like those offered by Token Metrics to make data-driven investment decisions.

Designing Scalable REST APIs

Scalability should be a primary consideration when designing REST APIs, particularly for services that may experience rapid growth or traffic spikes. Implementing pagination for endpoints that return large datasets prevents overwhelming clients and servers. Instead of returning thousands of cryptocurrency listings in a single response, a well-designed crypto API returns a manageable subset along with pagination metadata, allowing clients to request additional pages as needed.

Caching strategies significantly improve REST API performance and reduce server load. By including proper cache-control headers in API responses, you enable clients and intermediary proxies to cache responses appropriately. For cryptocurrency APIs where some data like historical prices rarely changes, aggressive caching can dramatically reduce the number of database queries and API calls. However, real-time data such as current market prices requires careful cache invalidation to ensure accuracy.

Rate limiting protects your REST API from abuse and ensures fair resource allocation among all users. By implementing rate limits based on API keys or IP addresses, you prevent individual clients from monopolizing server resources. Token Metrics implements sophisticated rate limiting in its cryptocurrency API, offering different tiers of access that balance the needs of casual developers, professional traders, and enterprise clients.

Documentation and Developer Experience

Comprehensive documentation transforms a good REST API into a great one. Developers evaluating whether to use your API need clear, accurate documentation that explains endpoints, parameters, authentication methods, and response formats. Interactive API documentation tools like Swagger or Postman collections allow developers to test endpoints directly from the documentation, reducing friction in the integration process.

For cryptocurrency APIs, documentation should include specific examples relevant to the crypto ecosystem. Token Metrics provides extensive API documentation covering everything from basic cryptocurrency price queries to advanced analytics endpoints, complete with code samples in multiple programming languages. This approach accelerates integration and reduces support requests, benefiting both API providers and consumers.

Providing SDKs and client libraries in popular programming languages further improves developer experience. Rather than forcing every developer to handle HTTP requests manually, offering pre-built libraries for Python, JavaScript, Java, and other languages enables faster integration and reduces the likelihood of implementation errors. These libraries can handle authentication, request formatting, error handling, and response parsing automatically.

Monitoring and Maintaining REST APIs

Once your REST API is in production, ongoing monitoring becomes critical to maintaining quality of service. Implementing comprehensive logging allows you to track API usage patterns, identify performance bottlenecks, and detect anomalies. For cryptocurrency APIs handling financial data, monitoring is especially crucial as downtime or data inaccuracies can result in significant financial losses for users.

Performance metrics such as response times, error rates, and throughput provide insights into API health. Setting up alerts for unusual patterns enables proactive problem resolution before users are significantly affected. Token Metrics maintains rigorous monitoring of its crypto API infrastructure, ensuring that developers and traders have reliable access to critical cryptocurrency market data and analytics.

Maintaining backward compatibility while evolving your API requires careful planning and communication. Deprecation policies should give developers adequate time to migrate to new versions or endpoints. For crypto APIs, this is particularly important as trading bots and automated systems may run unattended for extended periods and need time to adapt to API changes.

Security Considerations for REST APIs

Security forms the foundation of trustworthy REST APIs, especially when handling sensitive information like cryptocurrency transactions or personal data. Implementing HTTPS encryption for all API communications prevents man-in-the-middle attacks and protects data in transit. This is non-negotiable for crypto APIs where a single compromised API call could result in unauthorized fund transfers.

Input validation and sanitization protect against injection attacks and malformed requests. Your REST API should validate all incoming data against expected formats and ranges before processing. For cryptocurrency APIs, this includes validating wallet addresses, transaction amounts, and trading parameters to prevent errors and potential exploits.

Implementing proper access controls ensures that authenticated users can only access resources they're authorized to view or modify. Role-based access control (RBAC) provides a flexible framework for managing permissions in complex systems. Token Metrics implements enterprise-grade security in its cryptocurrency API, protecting sensitive market data and ensuring that clients can trust the integrity of the information they receive.

The Future of REST APIs in Cryptocurrency

As the cryptocurrency industry continues to mature, REST APIs will remain central to how developers interact with blockchain data and trading platforms. The evolution of decentralized finance, non-fungible tokens, and Web3 applications creates new opportunities and challenges for API design. REST APIs must adapt to handle increasingly complex queries, provide real-time updates for rapidly changing market conditions, and integrate with emerging blockchain protocols.

Token Metrics continues to innovate in the crypto API space, expanding its offerings to include advanced analytics, AI-powered market predictions, and comprehensive blockchain data. By maintaining a robust REST API infrastructure, Token Metrics enables developers, traders, and institutions to build sophisticated cryptocurrency applications that leverage cutting-edge market intelligence.

The convergence of traditional finance and cryptocurrency creates demand for APIs that can bridge both worlds seamlessly. REST APIs that provide unified access to crypto market data, traditional financial information, and cross-market analytics will become increasingly valuable. As regulatory frameworks evolve, APIs will also need to incorporate compliance features, reporting capabilities, and audit trails to meet institutional requirements.

Conclusion

REST APIs have proven themselves as the most practical and widely adopted approach for building web services that are scalable, maintainable, and developer-friendly. Understanding REST API design principles, implementing best practices, and focusing on security and performance creates APIs that developers love to use and rely on for their applications.

In the cryptocurrency space, REST APIs serve as the critical infrastructure that connects developers to blockchain data, market information, and trading functionality. Token Metrics exemplifies how a well-designed crypto API can empower developers and traders with the data and insights they need to succeed in the dynamic digital asset markets. Whether you're building a new cryptocurrency application or integrating blockchain data into existing systems, mastering REST API principles and leveraging powerful crypto APIs like those offered by Token Metrics will accelerate your development and enhance your capabilities.

As technology continues to evolve, REST APIs will adapt and improve, but their fundamental principles of simplicity, scalability, and statelessness will continue to guide the design of systems that power our increasingly connected digital world.

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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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Recent Posts

Research

Crypto Trading Signals API: Put Bullish/Bearish Calls Right in Your App

Token Metrics Team
4

Timing makes or breaks every trade. The crypto trading signals API from Token Metrics lets you surface bullish and bearish calls directly in your product—no spreadsheet wrangling, no chart gymnastics. In this guide, you’ll hit the /v2/trading-signals endpoint, display actionable signals on a token (e.g., SOL, BTC, ETH), and ship a conversion-ready feature for bots, dashboards, or Discord. Start by creating a key on Get API Key, then Run Hello-TM and Clone a Template to go live fast.

What You’ll Build in 2 Minutes

  • A minimal script that fetches Trading Signals via /v2/trading-signals for one symbol (e.g., SOL).
  • A copy-paste curl to smoke-test your key.
  • A UI pattern to render signal, confidence/score, and timestamp in your dashboard or bot.

Endpoints to add next

  • /v2/hourly-trading-signals (intraday updates)
  • /v2/resistance-support (risk placement)
  • /v2/tm-grade (one-score view)
  • /v2/quantmetrics (risk/return context)

Why This Matters

Action over analysis paralysis. Traders don’t need more lines on a chart—they need an opinionated call they can automate. The trading signals API compresses technical momentum and regime reads into Bullish/Bearish events you can rank, alert on, and route into strategies.

Built for dev speed and reliability. A clean schema, predictable performance, and straightforward auth make it easy to wire signals into bots, dashboards, and community tools. Pair with short-TTL caching or webhooks to minimize polling and keep latency low.

Where to Find

You can find the cURL request for Crypto Trading Signals in the top right corner of the API Reference. Use it to access the latest signals!

Live Demo & Templates

  • Trading Bot Starter: Use Bullish/Bearish calls to trigger paper trades; add take-profit/stop rules with Support/Resistance.
  • Dashboard Signal Panel: Show the latest call, confidence, and last-updated time; add a history table for context.
  • Discord/Telegram Alerts: Post signal changes to a channel with a link back to your app.

How It Works (Under the Hood)

Trading Signals distill model evidence (e.g., momentum regimes and pattern detections) into Bullish or Bearish calls with metadata such as confidence/score and timestamp. You request /v2/trading-signals?symbol=<ASSET> and render the most recent event, or a small history, in your UI.

For intraday workflows, use /v2/hourly-trading-signals to update positions or alerts more frequently. Dashboards typically use short-TTL caching or batched fetches; headless bots lean on webhooks, queues, or short polling with backoff to avoid spiky API usage.

Production Checklist

  • Rate limits: Know your tier caps; add client-side throttling and queues.
  • Retries/backoff: Exponential backoff with jitter; treat 429/5xx as transient.
  • Idempotency: Guard downstream actions (don’t double-trade on retries).
  • Caching: Memory/Redis/KV with short TTLs for reads; pre-warm popular symbols.
  • Webhooks & jobs: Prefer webhooks or scheduled workers for signal change alerts.
  • Pagination/Bulk: Batch symbols; parallelize with care; respect limits.
  • Error catalog: Map common 4xx/5xx to clear fixes; log request IDs.
  • Observability: Track p95/p99 latency, error rate, and alert delivery success.
  • Security: Keep keys in a secrets manager; rotate regularly.

Use Cases & Patterns

  • Bot Builder (Headless): Route Bullish into candidate entries; confirm with /v2/resistance-support for risk and TM Grade for quality.
  • Dashboard Builder (Product): Add a “Signals” module per token; color-code state and show history for credibility.
  • Screener Maker (Lightweight Tools): Filter lists by Bullish state; sort by confidence/score; add alert toggles.
  • Community/Discord: Post signal changes with links to token pages; throttle to avoid noise.
  • Allocator/PM Tools: Track signal hit rates by sector/timeframe to inform position sizing (paper-trade first).

Next Steps

  1. Get API Key — create a key and start free.
  2. Run Hello-TM — confirm your first successful call.
  3. Clone a Template — deploy a bot, dashboard, or alerting tool today.

FAQs

1) What does the Trading Signals API return?

A JSON payload with the latest Bullish/Bearish call for a symbol, typically including a confidence/score and generated_at timestamp. You can render the latest call or a recent history for context.

2) Is it real-time? What about latency/SLOs?

Signals are designed for timely, programmatic use with predictable latency. For faster cycles, use /v2/hourly-trading-signals. Add caching and queues/webhooks to reduce round-trips.

3) Can I use the signals in a live trading bot?

Yes—many developers do. A common pattern is: Signals → candidate entry, Support/Resistance → stop/targets, Quantmetrics → risk sizing. Always backtest and paper-trade before going live.

4) How accurate are the signals?

Backtests are illustrative, not guarantees. Treat signals as one input in a broader framework with risk controls. Evaluate hit rates and drawdowns on your universe/timeframe.

5) Do you provide SDKs and examples?

You can integrate via REST using JavaScript and Python snippets above. The docs include quickstarts, Postman collections, and templates—start with Run Hello-TM.

6) Polling vs webhooks for alerts?

Dashboards often use cached polling. For bots/alerts, prefer webhooks or scheduled jobs and keep retries idempotent to avoid duplicate trades or messages.

7) Pricing, limits, and enterprise SLAs?

Begin free and scale as you grow. See API plans for allowances; enterprise SLAs and support are available.

Research

Fundamental Grade Crypto API: Real Crypto Fundamentals in One Score

Token Metrics Team
3

Most traders chase price action; Fundamental Grade Crypto API helps you see the business behind the token—community traction, tokenomics design, exchange presence, VC signals, and DeFi health—consolidated into one score you can query in code. In a few minutes, you’ll fetch Fundamental Grade, render it in your product, and ship a due-diligence UX that drives trust. Start by grabbing your key at the Get API Key page, Run Hello-TM to verify your first call, then Clone a Template to go live fast.

What You’ll Build in 2 Minutes

A minimal script to fetch Fundamental Grade from /v2/fundamental-grade for any symbol (e.g., BTC).

  • Optional curl to smoke-test your key in seconds.
  • A drop-in pattern to display the grade + key drivers in dashboards, screeners, and research tools.

Endpoints to consider next

  • /v2/tm-grade (technical/sentiment/momentum)
  • /v2/price-prediction (scenario planning)
  • /v2/resistance-support (risk levels)
  • /v2/quantmetrics (risk/return stats)

Why This Matters

Beyond price, toward quality. Markets are noisy—hype rises and fades. Fundamental Grade consolidates hard-to-track signals (community growth, token distribution, liquidity venues, investor quality, DeFi integrations) into a clear, comparable score. You get a fast “is this worth time and capital?” answer for screening, allocation, and monitoring.

Build trust into your product. Whether you run an investor terminal, exchange research tab, or a portfolio tool, Token Metrics discovery helps users justify positions. Pair it with TM Grade or Quantmetrics for a balanced picture: what to buy (fundamentals) and when to act (signals/levels).

Where to Find

The Fundamental Grade is easily accessible in the top right of the API Reference. Grab the cURL request for seamless access!

Ready to build?

  • Get API Key — generate a key and start free.
  • Run Hello-TM — verify your first successful call.
  • Clone a Template — deploy a screener or token page today.

Watch the demo: VIDEO_URL_HERE. Compare plans: Scale confidently with API plans.

FAQs

1) What does the Fundamental Grade API return?

A JSON payload with the overall score/grade plus component scores (e.g., community, tokenomics, exchange presence, VC backing, DeFi health) and timestamps. Use the overall grade for ranking and component scores for explanations.

2) How fast is the endpoint? Do you publish SLOs?

The API is engineered for predictable latency. For high-traffic dashboards, add short-TTL caching and batch requests; for alerts, use jobs/webhooks to minimize round-trips.

3) Can I combine Fundamental Grade with TM Grade or signals?

Yes. A common pattern is Fundamental Grade for quality filter + TM Grade for technical/sentiment context + Trading Signals for timing and Support/Resistance for risk placement.

4) How “accurate” is the grade?

It’s an opinionated synthesis of multiple inputs—not financial advice. Historical studies can inform usage, but past performance doesn’t guarantee future results. Always layer risk management and testing.

5) Do you offer SDKs and examples?

You can use REST directly (see JS/Python above). The docs include quickstarts, Postman, and ready-to-clone templates—start with Run Hello-TM.

6) Polling vs webhooks for fundamentals updates?

For UI pages, cached polling works well. For event-style notifications (upgrades/downgrades), prefer webhooks or scheduled jobs to avoid spiky traffic.

7) What about pricing, limits, and enterprise SLAs?

Begin free and scale as you grow. See API plans for allowances; enterprise SLAs and support are available—contact us.

Research

Fundamental Grade Crypto API: Invest with Conviction Using Real Project Signals

Token Metrics Team
4

Most traders chase price action; Fundamental Grade Crypto API helps you see the business behind the token—community traction, tokenomics design, exchange presence, VC signals, and DeFi health—consolidated into one score you can query in code. In a few minutes, you’ll fetch Fundamental Grade, render it in your product, and ship a due-diligence UX that drives trust. Start by grabbing your key at the Get API Key page, Run Hello-TM to verify your first call, then Clone a Template to go live fast.

What You’ll Build in 2 Minutes

A minimal script to fetch Fundamental Grade from /v2/fundamental-grade for any symbol (e.g., BTC).

  • Optional curl to smoke-test your key in seconds.
  • A drop-in pattern to display the grade + key drivers in dashboards, screeners, and research tools.

Endpoints to consider next:

  • /v2/tm-grade (technical/sentiment/momentum)
  • /v2/price-prediction (scenario planning)
  • /v2/resistance-support (risk levels)
  • /v2/quantmetrics (risk/return stats)

Why This Matters

Beyond price, toward quality. Markets are noisy—hype rises and fades. Fundamental Grade consolidates hard-to-track signals (community growth, token distribution, liquidity venues, investor quality, DeFi integrations) into a clear, comparable score. You get a fast “is this worth time and capital?” answer for screening, allocation, and monitoring.

Build trust into your product. Whether you run an investor terminal, exchange research tab, or a portfolio tool, Fundamental Grade lets users justify positions. Pair it with TM Grade or Quantmetrics for a balanced picture: what to buy (fundamentals) and when to act (signals/levels).

Where to Find The Fundamental Grade

The Fundamental Grade is easily accessible in the top right of the API Reference. Grab the cURL request for seamless access!

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

How It Works (Under the Hood)

Fundamental Grade aggregates multiple project-quality signals into a normalized score and label (e.g., Strong / Average / Weak). Typical sub-signals include:

  • Community: momentum across channels (dev activity/user traction signals where applicable).
  • Tokenomics: supply schedule, distribution, unlock dynamics, incentives.
  • Exchange Presence: venue coverage, depth/liquidity proxies.
  • VC/Investor Signals: quality/durability of backing and ecosystem support.
  • DeFi Health: integrations, TVL context, composability footprint.

At query time, you call /v2/fundamental-grade with a symbol; responses include the overall score plus component scores you can visualize. For dashboards with many assets, batch fetches and short-TTL caching keep pages responsive. If you push alerts (e.g., “Fundamental Grade upgraded”), prefer webhooks or queued jobs to avoid hammering the API.

Production Checklist

  • Rate limits: Know plan caps; add client throttling and request queues.
  • Retries/backoff: Exponential backoff + jitter; surface actionable error messages.
  • Idempotency: Prevent duplicate downstream actions on retried calls.
  • Caching: Use memory/Redis/KV with short TTLs; pre-warm popular symbols.
  • Webhooks & jobs: For alerts, use signed webhooks or scheduled jobs; log delivery outcomes.
  • Pagination/Bulk: When covering many tokens, paginate or process in batches.
  • Error catalog: Map 4xx/5xx to user-visible fixes; log request IDs.
  • Observability: Track p95/p99 and error rate per endpoint; alert on spikes.
  • Security: Keep API keys in secrets managers; rotate regularly.

Use Cases & Patterns

  • Screener Maker: Rank tokens by Fundamental Grade, filter by market cap/sector, and add “rising fundamentals” badges for discovery.
  • Dashboard Builder: On each token page, show the headline grade with a component chart; link to methodology for transparency.
  • Research & PM Tools: Flag downgrades/upgrades to prompt re-evaluation; attach notes to component changes (e.g., DeFi health drop).
  • Allocator / Risk: Require a minimum Fundamental Grade before inclusion; rebalance only when grade crosses thresholds.
  • Community/Discord: Post weekly upgrades as digest messages with links back to your app.

Next Steps

  • Get API Key — generate a key and start free.
  • Run Hello-TM — verify your first successful call.
  • Clone a Template — deploy a screener or token page today.
  • Watch the demo: VIDEO_URL_HERE
  • Compare plans: Scale confidently with API plans.

FAQs

1) What does the Fundamental Grade API return?

A JSON payload with the overall score/grade plus component scores (e.g., community, tokenomics, exchange presence, VC backing, DeFi health) and timestamps. Use the overall grade for ranking and component scores for explanations.

2) How fast is the endpoint? Do you publish SLOs?

The API is engineered for predictable latency. For high-traffic dashboards, add short-TTL caching and batch requests; for alerts, use jobs/webhooks to minimize round-trips.

3) Can I combine Fundamental Grade with TM Grade or signals?

Yes. A common pattern is Fundamental Grade for quality filter + TM Grade for technical/sentiment context + Trading Signals for timing and Support/Resistance for risk placement.

4) How “accurate” is the grade?

It’s an opinionated synthesis of multiple inputs—not financial advice. Historical studies can inform usage, but past performance doesn’t guarantee future results. Always layer risk management and testing.

5) Do you offer SDKs and examples?

You can use REST directly (see JS/Python above). The docs include quickstarts, Postman, and ready-to-clone templates—start with Run Hello-TM.

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