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What Is an NFT? Complete Guide to Non-Fungible Tokens (2025)

Learn what NFTs are, how they work, and how to find NFT investment opportunities using Token Metrics. Explore NFTs in art, gaming, and Web3 in 2025.
Token Metrics Team
6 min
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Over the past few years, NFTs (Non-Fungible Tokens) have exploded in popularity—revolutionizing the way we think about digital ownership, art, gaming, collectibles, and more. In 2025, NFTs continue to shape the future of the internet, transforming everything from music rights to virtual real estate.

If you're wondering “What is an NFT?” or how they actually work, this guide breaks it down for you. We’ll also explore how AI-powered tools like Token Metrics can help you identify high-value NFT-related tokens and investment opportunities.

🔍 What Does NFT Stand For?

NFT stands for Non-Fungible Token. Let’s break that down:

  • Token: A digital asset that exists on a blockchain.
  • Non-Fungible: It’s unique and cannot be replaced with something else of equal value. (Unlike cryptocurrencies like Bitcoin, where each BTC is the same.)

So, an NFT is a unique digital asset stored on a blockchain, representing ownership of a specific item—like artwork, music, a tweet, a game character, or a piece of virtual land.

🎨 What Can Be an NFT?

NFTs aren’t just limited to pixelated apes or JPEGs. In 2025, NFTs power a broad range of digital assets:

  • Digital Art: Artworks, animations, and generative art
  • Collectibles: Rare items like trading cards or profile picture (PFP) projects
  • Gaming Assets: In-game skins, weapons, characters, and land (e.g., in The Sandbox or Decentraland)
  • Music and Media: Songs, albums, and exclusive content drops
  • Virtual Real Estate: Land parcels in the metaverse
  • Domain Names: Blockchain-based domain ownership
  • Identity & Access: Membership passes, event tickets, or certification credentials

Each NFT has a unique identifier and metadata that distinguish it from any other asset.

🛠️ How Do NFTs Work?

NFTs are built and recorded on blockchains, most commonly on Ethereum using ERC-721 or ERC-1155 standards. Here’s how they work:

  1. Minting: Turning a digital file into a token on the blockchain
  2. Metadata: Storing details like title, creator, image URL, and traits
  3. Ownership: A smart contract verifies the wallet that owns the NFT
  4. Transferability: NFTs can be sold, traded, or gifted using marketplaces

Because of blockchain immutability, ownership is transparent, verifiable, and permanent.

📈 Why Are NFTs Valuable?

Several reasons explain the rising value and popularity of NFTs:

  • Digital Ownership: You own the asset—not a platform
  • Proven Scarcity: Many NFTs are limited in supply
  • Creator Royalties: Artists earn fees on secondary sales
  • Utility & Access: Some NFTs unlock real-world benefits, games, or private groups
  • Social Status: PFPs like CryptoPunks or Bored Ape Yacht Club are digital status symbols
  • Speculation: Many treat NFTs as investments, betting on future appreciation

In 2025, NFTs have gone beyond hype to form the foundation of Web3 identity and ownership.

💰 How to Buy an NFT

To buy an NFT, you’ll need:

  1. A crypto wallet (like MetaMask)
  2. Some ETH or other supported crypto for payment and gas fees
  3. An NFT marketplace like OpenSea, Blur, Magic Eden, or Rarible

Steps to Buy:

  • Fund your wallet
  • Connect to a marketplace
  • Browse collections
  • Click “Buy Now” or place a bid
  • Approve the transaction

Once purchased, the NFT is transferred to your wallet and viewable on your profile.

⚠️ Are NFTs Safe?

NFTs are secure if you follow best practices. However, scams and phishing attacks are common.

Security Tips:

  • Never share your seed phrase
  • Verify contract addresses before minting
  • Don’t connect your wallet to unknown sites
  • Use hardware wallets for high-value NFTs
  • Bookmark official sites

🧠 How Token Metrics Helps You Identify NFT-Related Investments

NFTs are not just collectibles—they’re tied to blockchain ecosystems and tokens. Platforms like Token Metrics help you identify high-potential NFT projects, gaming ecosystems, and utility tokens powering the space.

✅ How Token Metrics Helps:

  • AI-powered Grades: See which NFT-related tokens are trending with Trader & Investor Grades
  • Moonshots Tab: Find small-cap NFT tokens with 10x–100x potential
  • Thematic Indices: Invest in curated NFT indices powered by Token Metrics AI
  • Token Details Page: Dive deep into any NFT-related token’s fundamentals, holders, and performance

Whether it’s $IMX, $MAGIC, $APE, or a metaverse play like $MANA, Token Metrics gives you a data-driven edge.

🧩 Popular NFT Blockchains in 2025

NFTs are no longer limited to Ethereum. In 2025, several chains offer faster, cheaper minting and trading:

Token Metrics tracks all these chains, offering a cross-chain perspective for NFT investing.

🪙 What Are NFT Tokens?

Many NFT ecosystems have their own fungible tokens used for governance, staking, or ecosystem rewards. Examples include:

  • $APE (Bored Ape Yacht Club)
  • $MAGIC (TreasureDAO)
  • $IMX (Immutable X)
  • $LOOKS (LooksRare)
  • $BLUR (Blur marketplace)

These tokens can rise in value based on NFT trading volume, user adoption, and staking incentives. Token Metrics’ analytics help traders spot breakout opportunities early.

🚀 Future of NFTs in 2025 and Beyond

NFTs are evolving fast. In 2025, they’re used for more than art and gaming:

  • NFTs as IDs: Used for logging into apps and verifying reputation
  • Real-world assets: Tokenizing real estate, music royalties, and legal contracts
  • DeFi integrations: NFTs used as collateral in lending protocols
  • Event access: NFTs as tickets for IRL and virtual experiences
  • AI x NFTs: Generative AI tools minting and managing NFT metadata autonomously

Expect continued innovation, and stay ahead using tools like Token Metrics.

🧠 Final Thoughts: Are NFTs Worth It?

NFTs are more than a trend — they represent the digitization of ownership in the Web3 era. From art and identity to games and finance, NFTs unlock new possibilities for creators and collectors alike.

If you're looking to explore NFT opportunities beyond collectibles—Token Metrics gives you the data, AI tools, and insights you need to invest intelligently.

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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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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.

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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.

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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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