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How is Tokenization Used Outside of Finance? Real-World Applications in 2025

Explore how tokenization is reshaping industries beyond finance, from healthcare to art, with insights into technology, challenges, and future potential.
Token Metrics Team
9
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When most people hear the term tokenization, their minds often jump straight to cryptocurrencies and financial assets. However, the benefits of tokenization—such as increased liquidity, improved transparency, and greater efficiency—are now being realized across a wide range of industries. In 2025, tokenization has clearly evolved far beyond its financial roots, reshaping industries as diverse as healthcare, agriculture, supply chain management, and intellectual property, thanks to blockchain networks that provide the secure, decentralized infrastructure enabling this transformation. Understanding how is tokenization used outside of finance is becoming essential not only for investors but also for entrepreneurs and professionals navigating the ongoing digital transformation that is redefining how value is created, managed, and exchanged.

Beyond Finance: The Tokenization Revolution Expands

At its core, tokenization refers to the process of creating a digital representation of real-world assets as a digital token on a blockchain network. A digital token acts as a secure, tradable digital certificate of ownership or rights over assets. Each token represents a specific ownership right or unit of value in an asset, making transfers secure and verifiable. These assets can include financial instruments, physical goods, intangible assets, and other assets, highlighting the broad applicability of tokenization. While the market for tokenized assets—excluding stablecoins—has already reached about $25 billion by mid-2025, projections estimate this figure will soar to $2.08 trillion by the end of the year and an astonishing $13.55 trillion by 2030.

Crucially, the most exciting growth is not confined to traditional finance or financial institutions. As Vlad Tenev, CEO of Robinhood, aptly put it at the Token2049 conference, “Tokenization is like a freight train. It can’t be stopped, and eventually it’s going to eat the entire financial system.” Yet, this freight train is not stopping there—it is transforming every sector it touches by enabling increased liquidity, fractional ownership, enhanced transparency, and operational efficiency.

Healthcare: Transforming Medical Data and Research

The healthcare industry is one of the most promising sectors benefiting from asset tokenization. Tokenization enables healthcare providers to manage assets—both physical and digital—more efficiently by converting them into secure, tradeable digital tokens, simplifying ownership, transfer, and security processes. By leveraging blockchain technology and smart contracts, healthcare providers and researchers can address longstanding challenges related to data security, funding, and intellectual property management.

Medical Records and Data Security

Tokenizing medical records creates a secure, decentralized system for managing sensitive data. Unlike traditional centralized databases that are vulnerable to data breaches and unauthorized access, blockchain-based tokenized records give patients control over their data while allowing authorized healthcare professionals seamless and instant access. This enhanced data security reduces the risk of data breaches and fosters trust, improving patient care coordination without compromising privacy.

Pharmaceutical Research and Development

Pharmaceutical research has traditionally been dominated by large financial firms and venture capitalists, often limiting funding opportunities for innovative projects. Asset tokenization introduces new revenue streams by enabling researchers to raise capital through tokenized investment pools. This democratizes access to funding, accelerates research cycles, and allows smaller investors to participate in promising ventures. Moreover, intellectual property such as pharmaceutical patents and research outcomes can be tokenized, allowing creators to license or sell rights more efficiently. Smart contracts automate royalty payments, ensuring ongoing compensation to patent holders and enhancing transparency compared to conventional licensing agreements.

Medical Equipment and Asset Management

Hospitals and healthcare institutions are also using tokenization to manage high value assets like medical equipment. By tokenizing these assets, institutions can create fractional ownership or leasing arrangements, generating liquidity from otherwise illiquid equipment. Tokenization streamlines asset transfer, making it faster, more transparent, and cost-effective for hospitals and equipment providers by enhancing the traceability and efficiency of ownership changes. Token holders can earn returns from leasing fees, while hospitals benefit from flexible financing options and operational cost savings.

Supply Chain: Transparency from Origin to Consumer

Supply chains are complex and often opaque, making it difficult to verify authenticity, track provenance, and ensure efficiency. Tokenization offers a powerful solution by providing a transparent, immutable record of every step in the supply chain, and, when combined with blockchain technology, it can significantly facilitate faster and more transparent cross border transactions.

Product Authentication and Anti-Counterfeiting

Assigning digital tokens to products enables real-time tracking and verification of authenticity. For instance, the journey of precious metals or diamonds can be fully tokenized, creating a distributed ledger record that proves ethical sourcing and provenance. Luxury goods manufacturers are increasingly adopting this approach to combat counterfeiting, a problem that costs the industry billions annually.

Inventory Management and Trade Finance

Tokenizing inventory and goods in transit enhances transparency and facilitates more efficient trade finance. Platforms such as Centrifuge have pioneered tokenization initiatives that convert invoices and receivables into digital tokens, which financial institutions and asset managers can finance. By enabling instant settlement, tokenization reduces delays typically associated with traditional settlement processes and improves liquidity for businesses. This model transforms traditional invoice financing by reducing transaction costs, improving risk management, and increasing capital efficiency through transparent, decentralized processes.

Agriculture: Democratizing Farm Finance

Agriculture has historically faced challenges in accessing capital and managing risks associated with crop production. Tokenization is changing this by enabling innovative financing and risk management solutions. When tokenizing assets in the agricultural sector, it is crucial to consider legal considerations and regulatory compliance to ensure successful and sustainable implementation.

Crop and Harvest Tokenization

Farmers can now tokenize crops before harvest, offering fractional ownership to investors and unlocking new capital sources. Malaysia’s DatoDurian project, which completed its private sale in early 2025, exemplifies this trend by allowing retail investors to gain exposure to premium durian farms through tokenized assets. This approach provides farmers with upfront capital without resorting to predatory lending and offers investors opportunities to participate in agricultural yields previously inaccessible. Additionally, smart contracts enable automated crop insurance payouts based on verified data such as weather conditions, streamlining risk management and reducing bureaucracy.

Commodity Trading Platforms

Tokenizing commodities like gold, agricultural products, and other raw materials increases liquidity and transparency in global markets. By leveraging blockchain technology, tokenization leads to lower costs for trading and managing commodities, as it reduces expenses related to traditional asset transfers and administrative processes. Fractional ownership through digital tokens allows smaller investors to access these asset classes, improving price discovery and overall market efficiency.

Art and Collectibles: Fractional Ownership for All

The art market has traditionally been exclusive and opaque, limiting access to high-value assets. Tokenization is democratizing this space by enabling fractional ownership and transparent royalty management.

Democratizing Fine Art Investment

High-value artworks can be divided into tokenized shares, allowing multiple investors to own fractions of masterpieces by renowned artists such as Picasso or Warhol. This fractional ownership not only broadens access to blue-chip art investments but also creates liquidity in a historically illiquid market. Platforms specializing in luxury asset tokenization have reported liquidity increases of up to 300% after listing artworks as digital tokens.

Artist Royalties and Intellectual Property

Artists can tokenize their intellectual property rights, including copyrights and future revenue streams. Smart contracts embedded in digital tokens automate royalty payments each time an artwork is resold, a significant improvement over traditional models where artists rarely benefit from secondary sales. The intellectual property tokenization sector is growing rapidly, offering investors uncorrelated, revenue-backed opportunities.

Sports, Entertainment, and Gaming

Tokenization is revolutionizing fan engagement and digital ownership in sports, entertainment, and gaming industries, creating new business models and revenue streams.

Fan Tokens and Team Ownership

Fans can purchase digital tokens representing fractional ownership or voting rights in their favorite sports teams or entertainment projects. These tokens often grant holders influence over team decisions, merchandise designs, or concert setlists, fostering deeper engagement and providing teams and artists with alternative funding sources.

Gaming Assets and Play-to-Earn

In-game items, characters, and entire ecosystems can be tokenized, allowing players true ownership of digital assets transferable across platforms. Play-to-earn models reward gamers with digital tokens that have real-world value, transforming gaming into a source of income and expanding the utility of digital wallets.

Education and Research Funding

Tokenization is also impacting education by enabling decentralized funding of scholarships, research grants, and educational programs. This approach enhances transparency and efficiency in allocating resources, while allowing investors and philanthropists to support causes aligned with their values and potentially earn returns from successful research outcomes.

Token Metrics: Your Intelligence Hub for the Tokenization Economy

As tokenization broadens to encompass real estate, agriculture, healthcare, art, and many other sectors, investors require sophisticated tools to navigate this growing market. Token Metrics, a leading crypto trading and analytics platform, offers comprehensive intelligence to evaluate tokenization initiatives across asset classes.

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The Future: Tokenization Everywhere

The expansion of tokenization beyond finance signifies a fundamental shift in how assets are represented, transferred, and monetized. Digital assets are at the core of this transformation, enabling new ways to create, trade, and regulate value across markets. By creating digital tokens that represent ownership or rights over real world assets, industries are experiencing:

  • Increased liquidity in markets traditionally characterized by illiquid assets
  • Fractional ownership that democratizes access to high-value assets like real estate, fine art, and precious metals
  • Enhanced transparency that reduces fraud and improves trust through distributed ledger technology
  • Operational efficiency by automating complex transactions and corporate actions via smart contracts
  • Broader access to global investors by breaking down geographic and regulatory barriers

Tokenization is also revolutionizing financial products such as mutual funds, private equity, money market funds, tokenized money market funds, and security tokens, making these digital assets more accessible and efficient. By converting both physical and digital assets into secure, tradeable digital representations, tokenization enables businesses and individuals to better manage assets, streamline transactions, and reduce reliance on traditional intermediaries.

Regulatory frameworks are evolving worldwide to accommodate these innovations, with jurisdictions such as Singapore, Dubai, and the European Union establishing clear guidelines for asset tokenization. As legal experts and financial firms collaborate to address security risks, legal considerations, and regulatory compliance, tokenization is poised to accelerate across asset classes and industries.

Positioning for the Tokenized Economy

To thrive in this rapidly evolving landscape, stakeholders must:

  • Commit to continuous education about emerging tokenization use cases and platforms.
  • Utilize sophisticated analytics, such as those provided by Token Metrics, to evaluate diverse opportunities.
  • Diversify exposure across multiple tokenized asset classes, including traditional assets and intangible assets.
  • Stay informed about evolving regulatory frameworks and compliance requirements.
  • Conduct thorough due diligence on platforms to ensure security, operational cost savings, and seamless integration.

The tokenization revolution is no longer confined to financial services—it is reshaping business processes, capital markets, and asset ownership globally. With tokenized assets projected to reach trillions of dollars in value over the next decade, understanding how is tokenization used outside of finance is essential for anyone aiming to participate in the future economy.

Ready to navigate the future of tokenization? Visit tokenmetrics.com to access the research, analytics, and insights you need to capitalize on opportunities across the expanding tokenization landscape.

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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

Quantmetrics API: Measure Risk & Reward in One Call

Token Metrics Team
5

Most traders see price—quants see probabilities. The Quantmetrics API turns raw performance into risk-adjusted stats like Sharpe, Sortino, volatility, drawdown, and CAGR so you can compare tokens objectively and build smarter bots and dashboards. In minutes, you’ll query /v2/quantmetrics, render a clear performance snapshot, and ship a feature that customers trust. Start by grabbing your key at Get API Key, 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 that fetches Quantmetrics for a token via /v2/quantmetrics (e.g., BTC, ETH, SOL).
  • A smoke-test curl you can paste into your terminal.
  • A UI pattern that displays Sharpe, Sortino, volatility, max drawdown, CAGR, and lookback window.

Next Endpoints to Add

  • /v2/tm-grade (one-score signal)
  • /v2/trading-signals
  • /v2/hourly-trading-signals (timing)
  • /v2/resistance-support (risk placement)
  • /v2/price-prediction (scenario planning)

Why This Matters

Risk-adjusted truth beats hype. Price alone hides tail risk and whipsaws. Quantmetrics compresses edge, risk, and consistency into metrics that travel across assets and timeframes—so you can rank universes, size positions, and communicate performance like a professional.

Built for dev speed

A clean REST schema, predictable latency, and easy auth mean you can plug Sharpe/Sortino into bots, dashboards, and screeners without maintaining your own analytics pipeline. Pair with caching and batching to serve fast pages at scale.

Where to Find

The Quant Metrics cURL request is located in the top right of the API Reference, allowing you to easily integrate it with your application.

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How It Works (Under the Hood)

Quantmetrics computes risk-adjusted performance over a chosen lookback (e.g., 30d, 90d, 1y). You’ll receive a JSON snapshot with core statistics:

  • Sharpe ratio: excess return per unit of total volatility.
  • Sortino ratio: penalizes downside volatility more than upside.
  • Volatility: standard deviation of returns over the window.
  • Max drawdown: worst peak-to-trough decline.
  • CAGR / performance snapshot: geometric growth rate and best/worst periods.

Call /v2/quantmetrics?symbol=<ASSET>&window=<LOOKBACK> to fetch the current snapshot. For dashboards spanning many tokens, batch symbols and apply short-TTL caching. If you generate alerts (e.g., “Sharpe crossed 1.5”), run a scheduled job and queue notifications to avoid bursty polling.

Production Checklist

  • Rate limits: Understand your tier caps; add client-side throttling and queues.
  • Retries & backoff: Exponential backoff with jitter; treat 429/5xx as transient.
  • Idempotency: Prevent duplicate downstream actions on retried jobs.
  • Caching: Memory/Redis/KV with short TTLs; pre-warm popular symbols and windows.
  • Batching: Fetch multiple symbols per cycle; parallelize carefully within limits.
  • Error catalog: Map 4xx/5xx to clear remediation; log request IDs for tracing.
  • Observability: Track p95/p99 latency and error rates; alert on drift.
  • Security: Store API keys in secrets managers; rotate regularly.

Use Cases & Patterns

  • Bot Builder (Headless): Gate entries by Sharpe ≥ threshold and drawdown ≤ limit, then trigger with /v2/trading-signals; size by inverse volatility.
  • Dashboard Builder (Product): Add a Quantmetrics panel to token pages; allow switching lookbacks (30d/90d/1y) and export CSV.
  • Screener Maker (Lightweight Tools): Top-N by Sortino with filters for volatility and sector; add alert toggles when thresholds cross.
  • Allocator/PM Tools: Blend CAGR, Sharpe, drawdown into a composite score to rank reallocations; show methodology for trust.
  • Research/Reporting: Weekly digest of tokens with Sharpe ↑, drawdown ↓, and volatility ↓.

Next Steps

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

FAQs

1) What does the Quantmetrics API return?

A JSON snapshot of risk-adjusted metrics (e.g., Sharpe, Sortino, volatility, max drawdown, CAGR) for a symbol and lookback window—ideal for ranking, sizing, and dashboards.

2) How fresh are the stats? What about latency/SLOs?

Responses are engineered for predictable latency. For heavy UI usage, add short-TTL caching and batch requests; for alerts, use scheduled jobs or webhooks where available.

3) Can I use Quantmetrics to size positions in a live bot?

Yes—many quants size inversely to volatility or require Sharpe ≥ X to trade. Always backtest and paper-trade before going live; past results are illustrative, not guarantees.

4) Which lookback window should I choose?

Short windows (30–90d) adapt faster but are noisier; longer windows (6–12m) are steadier but slower to react. Offer users a toggle and cache each window.

5) Do you provide SDKs or examples?

REST is straightforward (JS/Python above). Docs include quickstarts, Postman collections, and templates—start with Run Hello-TM.

6) Polling vs webhooks for quant alerts?

Dashboards usually use cached polling. For threshold alerts (e.g., Sharpe crosses 1.0), run scheduled jobs and queue notifications to keep usage smooth and idempotent.

7) Pricing, limits, and enterprise SLAs?

Begin free and scale up. See API plans for rate limits and enterprise SLA options.

Disclaimer

All information provided in this blog is for educational purposes only. It is not intended as financial advice. Users should perform their own research and consult with licensed professionals before making any investment or trading decisions.

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
5 min read

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.

Build with Token Metrics: The Essential Data Layer for Crypto Apps

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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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