Top 10 Emerging Layer 3 Blockchains and Their Token Utilities

Top 10 Emerging Layer 3 Blockchains (L3s) and Their Token Utilities

Layer 3 blockchains are turning Ethereum scaling into a modular product: purpose-built chains that inherit security from an L2, customize fees and execution, and optimize for a single vertical like gaming, social, education, or high-frequency DeFi. This guide explains what L3s are, why they exist, and how token utilities evolve as ecosystems move from “general-purpose L2” to “app-focused L3.” Not financial advice. Always do your own research.

Beginner → Advanced Ethereum Scaling • L2 → L3 • Token Utility Evergreen • ~40 min read • Updated: January
TL;DR — What you should understand before you touch any “L3 token”
  • What an L3 is: a chain that settles to an L2 (often an Arbitrum Orbit chain settling to Arbitrum One), giving teams more control over fees, block times, permissions, execution environments, and app-specific rules.
  • Why L3s exist: L2s scale Ethereum for everyone. L3s optimize for one community or product, while borrowing security and liquidity rails from the L2.
  • Token utility is the real story: many L3s use a token for gas, staking, governance, incentives, marketplace fees, revenue share, or access. The best tokens have a utility that survives hype cycles.
  • Security reality: many L3s launch with centralized components (sequencers, upgrade keys, DA committees). “L3” is not automatically safer. Always check governance and admin controls.
  • Practical takeaway: treat L3 ecosystems like early-stage startups. Use small sizes, verify contracts, track permissions, and assume token economics will evolve.
Fast safety rule: If you can’t explain what the token does beyond “number go up,” you are not evaluating a utility asset. Start with the utility map, then decide your exposure.

1) Layer 3 explained: the simplest mental model

The cleanest way to understand an L3 is to think of Ethereum scaling as a stack of responsibilities: L1 is the base security layer (Ethereum mainnet). L2 scales Ethereum by batching many transactions and posting proofs or commitments back to L1. L3 is a chain that sits on top of an L2, using the L2 as its settlement anchor while optimizing execution for a specific product or community.

One sentence definition: An L3 is a specialized blockchain that settles to an L2, letting teams customize performance and features without rebuilding security from scratch.
Layer 1 (Ethereum) Base security, final settlement, censorship resistance target Layer 2 (Rollup) Batching, proofs/commitments, shared liquidity rails, cheaper transactions Layer 3 (App Chain) Specialized execution: gaming, social, education, DeFi, custom fees and UX settles to settles to
L3s are not “a new Ethereum.” They are execution environments that borrow settlement and security from an L2, which ultimately anchors to Ethereum.

This structure creates a tradeoff space. You gain speed, customization, and product focus. You lose some decentralization at launch because many L3s start with centralized sequencers, upgrade keys, and sometimes data availability committees. Your job as a user or investor is to measure whether the token utility is real and whether the chain’s trust assumptions match your risk tolerance.

2) Why L3s exist: the “specialization” wave

The early scaling narrative was simple: build one big L2 and push the whole world onto it. That works, but it creates a product problem. A general-purpose chain has to be everything at once: DeFi, NFTs, gaming, social, enterprise, experimentation. When every vertical competes for the same blockspace and design priorities, no vertical gets a perfect experience.

L3s are a response: they let teams shape a chain around a single goal. That can mean:

  • Custom fees: pay gas in a native token, sponsor gas for new users, or tune costs for the app’s economics.
  • Predictable performance: gaming and social apps care about consistent block times and UX more than maximum decentralization on day one.
  • Specialized features: whitelists for early access, custom precompiles, account abstraction defaults, or vertical-specific primitives.
  • Community alignment: tokens can represent membership, access, and incentive design for one community, not “everyone.”
  • Faster iteration: an L3 team can ship improvements without waiting for an L2’s global governance cycle.
Key idea: L3s are how blockchains start behaving like products. The chain is designed around the customer.

3) A framework for token utilities on L3s

When people say “token utility,” they usually mean “gas token.” That’s only one category. On L3s, token utility often splits into multiple lanes. The best way to evaluate a token is to map it to a utility stack:

Utility type What it means Signals of durability
Gas / fees Token is required to transact, deploy, or interact with contracts. Real usage, stable demand, transparent fee sinks or routing.
Staking / security Token secures sequencer sets, committees, or “service” layers via staking. Clear slashing conditions, verifiable responsibilities, decentralization roadmap.
Governance Token votes on upgrades, fee parameters, incentives, treasury, listings. Real governance power, not cosmetic voting; transparent upgrade controls.
Incentives Token rewards users, builders, liquidity, creators, or players. Sustainable emissions, usage-driven sinks, not pure dilution.
Access / membership Token unlocks features, premium tiers, launches, whitelists. A product people want. Access that creates retention and revenue.
Revenue share Token holders capture value from fees or marketplace revenue. Auditable fee flows, clear legal and governance design, consistent revenue.
Practical scoring rule: A token that touches two or more durable utility types (gas + governance, gas + revenue, staking + access) is usually more resilient than a token that only exists as an emissions reward.

4) L3 security checklist before you bridge or buy

L3s often move fast. That’s the point. But speed plus on-chain value creates the perfect environment for mistakes and opportunists. Here is a practical checklist that prevents most avoidable losses:

1) Verify admin controls

Who can upgrade system contracts? Are there timelocks? Are multisigs 1-of-1? Early L3s often have strong admin powers. You must treat that as risk.

2) Check the bridge route

The bridge is the critical path. Know whether you are using a canonical bridge or a third-party bridge, and understand withdrawal windows and failure modes.

3) Confirm the gas token and fee mechanics

Some L3s use ETH for gas. Others use a native token. That choice changes demand dynamics and user onboarding friction.

4) Validate contracts before approvals

Most DeFi losses come from approvals and malicious contracts, not price. Scan addresses and review permissions before you sign.

5) Assume scammers will use “upgrade” narratives

You never need to “upgrade your tokens” because a chain launched a new version. If someone DMs you that, it’s almost always a scam.

5) Top 10 emerging Layer 3 blockchains and their token utilities

“Layer 3” is still evolving, so “top 10” here is not a claim of final winners. It’s a map of notable L3-style chains that reflect where the market is going: gaming-first chains, community chains, and vertical chains that want predictable execution and a token model tuned to their product.

How to read each entry:
  • What it is: what the chain is optimized for.
  • Why L3: what specialization it gains by being on top of an L2.
  • Token utility: what the token actually does in the system.
  • What to watch: the risks and milestones that change the token’s long-term value capture.

5.1) Xai (XAI): gaming-first L3 execution with crypto-native ownership

What it is: Xai is positioned as a gaming-first chain designed to make blockchain gaming feel like “normal gaming,” while still enabling real ownership. Gaming ecosystems tend to want stable fees, high throughput, and UX primitives that abstract complexity from players.

Why L3: gaming traffic is bursty. A title launch, a season update, or an in-game event can spike demand. An L3 can isolate that volatility from a broader L2 and tune blockspace, fee markets, and tooling for games.

Token utility map (XAI):
  • Gas and network fees: paying for transactions and in-game interactions (where supported).
  • Ecosystem incentives: rewarding players, liquidity, creators, and game studios as the network grows.
  • Governance: tuning parameters over time, especially around incentives and ecosystem expansion.

What to watch: the healthiest gaming tokens are not only “reward tokens.” They become the native economic unit of the game network: marketplace fees, tournament entry, premium crafting, creator royalties, and studio tooling. When the token becomes embedded in the product loops, demand becomes less speculative and more usage-based.

Practical user tip: treat gaming chains like app ecosystems. Track which games ship, how many real users transact, and whether token usage is required or optional.

5.2) ApeChain (APE): community chain economics for culture, IP, and consumer apps

What it is: ApeChain is a community-aligned chain concept built around a major crypto-native culture brand. Culture chains tend to optimize for consumer-friendly UX: fast confirmations, simple fee experiences, and strong identity communities.

Why L3: consumer and culture apps often require predictable execution and a consistent brand experience. An L3 chain allows that community to own a coherent “home base” while still connecting to Ethereum liquidity through the settlement stack.

Token utility map (APE):
  • Gas or fee unit (where implemented): smoother onboarding if the native community token is also the spending token.
  • Membership and access: priority access to drops, experiences, apps, and launches in the ecosystem.
  • Governance: ecosystem grants, parameters, and incentives aligned with long-term community growth.
  • Consumer commerce: payments for IP-based products, creator economies, and marketplace fees.

What to watch: the key question is whether the chain creates new usage or just relocates existing activity. The best community chains become “transactional communities” where the token is used in real consumer flows, not only held.

5.3) Degen Chain (DEGEN): social-native microtransactions and creator economies

What it is: Degen-style ecosystems aim to make on-chain behavior feel like social behavior: tips, microtransactions, creator rewards, and lightweight consumer apps. Social chains win by making transactions frequent and cheap, then using incentives to bootstrap network effects.

Why L3: social apps need consistent, low-fee execution. An L3 can tune throughput, fee mechanics, and account abstraction defaults for consumer users. It also helps isolate spam, bot patterns, or incentive farming from broader shared chains.

Token utility map (DEGEN):
  • Gas and micro-fees: token-as-gas can align the social economy around one unit of account.
  • Tipping and creator payouts: direct social value transfer and reputation loops.
  • Incentive emissions: rewards to bootstrap early usage, often with evolving distribution rules.
  • Access layers: gated drops, whitelists, premium social features, and membership experiences.

What to watch: social tokens live or die by retention. If the chain only has “farming,” utility collapses. If the chain has identity, creators, and communities that keep transacting, utility becomes real.

5.4) EDU Chain (EDU): “learn, own, earn” education economies on-chain

What it is: EDU Chain is designed to bring educational economies onto the blockchain, aiming for a “Learn Own Earn” model where credentials, incentives, and education markets can be native. Education ecosystems tend to combine identity, reputation, payments, and long-term incentives.

Why L3: education apps can benefit from predictable fees, specialized identity primitives, and an ecosystem treasury model aligned with onboarding institutions. An L3 can optimize for these constraints without negotiating every change with a global chain community.

Token utility map (EDU):
  • Gas token: EDU can serve as the fee unit for transactions on the chain.
  • Incentives: rewards for learning, building courses, onboarding, or contributing to educational programs.
  • Governance and grants: directing resources to content, institutions, and learning infrastructure.
  • Marketplace settlement: payments for educational content, certifications, tutoring, and learning-based products.

What to watch: the difference between “education narrative” and “education adoption.” A durable EDU-style token model needs real demand: institutions, creators, and learners using the token for payments and participation, not only claiming rewards.

Internal learning path: If you want the fundamentals before exploring niche L3 ecosystems, start here: Blockchain Technology Guides →

5.5) Sanko: creator and community commerce with a dedicated execution layer

What it is: Sanko-style chains focus on creator-led communities, commerce, and culture-native apps. The core bet is that creators and communities want a chain that feels “theirs,” where incentives and fees reinforce their economy.

Why L3: creator platforms tend to need cheap interactions (likes, tips, claims), predictable minting costs, and UX that does not feel like “DeFi.” L3 specialization helps keep costs stable and features tailored to creator workflows.

Token utility map (community and creator tokens):
  • Gas or fee routing: in some creator chains, a native token is used for gas or is paired with fee rebates.
  • Creator monetization: token-denominated memberships, premium content access, and creator treasury flows.
  • Incentives: rewarding participation and retention in community loops.

What to watch: creator economies demand good UX, not just tokenomics. The strongest signal is whether creators can earn without forcing users into speculative behavior.

5.6) Molten (MOLTEN): trading-native execution and incentive design

What it is: trading-native chains aim to make on-chain trading fast, cheap, and sticky. That includes perps-style experiences, rapid market interactions, and incentive systems designed around trader behavior.

Why L3: trading is latency-sensitive. A dedicated chain can tune block times, reduce congestion from unrelated apps, and align fee models with trading volumes.

Token utility map (MOLTEN):
  • Gas token (where implemented): paying for transactions and trading interactions.
  • Fee rebates: reduced trading fees, maker incentives, or tiering for active users.
  • Liquidity incentives: bootstrapping markets, vaults, and on-chain order flow.
  • Governance: parameters that decide incentives, listings, and treasury usage.

What to watch: trading tokens become durable when they capture value from real fees and real usage, not only emissions. If the token is required for rebates or fee tiers, check whether that creates consistent demand or only short-term farming.

5.7) WINR (WINR): application chains for high-frequency consumer interactions

What it is: consumer chains optimized for high-frequency interactions (including gaming-adjacent or entertainment categories) aim to make transactions cheap and constant. The goal is to transform on-chain behavior from “occasional” to “everyday.”

Why L3: these apps often need a stable environment that can handle spikes without degrading user experience. L3s help isolate performance for a single category and create clearer incentive routing for that ecosystem.

Token utility map (WINR):
  • Gas or fee unit: token-denominated transactions can simplify product loops.
  • Rewards and loyalty: incentivizing participation and long-term user retention.
  • Governance: parameters around rewards, treasury, and ecosystem partnerships.
  • Value capture via platform fees: sustainable tokens often connect to actual platform economics.

What to watch: consumer chains face regulatory and reputational risks depending on the vertical. The strongest long-term token models are those that tie demand to non-speculative usage and verifiable revenue capture.

5.8) RARI Chain (RARI): NFT infrastructure with chain-level royalty logic

What it is: RARI Chain is positioned around NFT infrastructure and creator royalty guarantees at the node level. This is a clear example of L3 specialization: take a vertical (NFTs), then embed economic rules in the chain itself.

Why L3: NFT markets often clash with general-purpose chains because they need specialized marketplace patterns, predictable minting, and creator-focused fee design. An L3 can tune these defaults without asking a global chain to adopt NFT-specific rules.

Token utility map (RARI):
  • Governance: ecosystem direction, protocol decisions, and creator economy design.
  • Creator and marketplace alignment: incentives for builders and creators, potentially linked to royalty and marketplace activity.
  • Ecosystem incentives: grants, liquidity, and marketplace bootstrapping.

What to watch: “royalties at node level” is a powerful narrative, but markets change fast. Track whether creators and marketplaces actually adopt the chain and whether the token captures value from real NFT commerce.

5.9) AlienX: entertainment-first L3 experimentation and community loops

What it is: entertainment and community-first L3s focus on shipping a cohesive experience: fast apps, low fees, and a token that acts like an internal economy. These ecosystems often blend creator incentives, collectibles, and gamified participation.

Why L3: entertainment chains are UX products. They need predictable fees and the ability to iterate quickly. An L3 architecture lets teams ship fast and tune incentives for what keeps the community active.

Token utility patterns (entertainment L3s):
  • In-app currency: payments for items, boosts, mints, and premium access.
  • Rewards: participation incentives designed around retention and social growth.
  • Creator alignment: revenue routing and community monetization loops.

What to watch: entertainment tokens are vulnerable to bot activity and “reward farming.” The best chains evolve from emissions to real spending loops: users buy things they want, creators get paid, the platform earns fees, and the token becomes the medium.

5.10) Proof of Play: L3s built around game studios, live ops, and player-owned assets

What it is: studio-led L3s aim to ship real games, not only chain infrastructure. Their core objective is a reliable production environment where game logic, marketplace actions, and ownership can be deeply integrated.

Why L3: game studios want predictable deployment environments, cost control, and the ability to tailor account abstraction and onboarding defaults for players. An L3 can become a studio’s “game platform chain,” where each title plugs into the same identity and marketplace rails.

Token utility patterns (studio L3s):
  • Marketplace settlement: buying and selling assets, skins, and collectibles.
  • Player incentives: season rewards, tournaments, crafting, and engagement loops.
  • Governance and ecosystem grants: funding new games and community content.
  • Fees: used directly for gas or indirectly via fee routing, depending on the chain design.

What to watch: real games shipping, retention, and marketplace volume. Token value capture becomes real when users are paying for fun and status, not farming rewards.

Want a faster way to research any L3 token before you buy?

Use a layered workflow: scan contracts, verify admin controls, then track where liquidity and “smart money” is moving.

6) Quick comparison: token utility patterns you will keep seeing

The names change, but the utility patterns repeat. Here’s a quick way to compare L3 tokens without getting lost in branding.

Vertical Typical token roles Best “durability” signal
Gaming Marketplace settlement, rewards, tournaments, optional gas Games ship + users spend (not only farm)
Social Tips, micro-fees, access, creator payouts Retention + creator monetization that works
Education Gas, grants, marketplace payments, program incentives Institution onboarding and recurring payments
NFT infrastructure Creator alignment, royalties/fees, governance, incentives Marketplace volume + creator adoption
Trading Fee rebates, liquidity incentives, governance, optional gas Sustainable fees and reduced emissions reliance
Red flag: if a token’s main “utility” is emissions, it will usually underperform once incentives decline. Look for payment loops, fee sinks, or governance that controls real value.

7) How to evaluate any L3 token like a pro

Here is a battle-tested evaluation process that works across almost every new chain. The goal is not to predict price. The goal is to avoid structural mistakes.

7.1 Start with the “utility loop” diagram

Tokens are durable when there is a loop: users spend the token for something valuable, fees flow somewhere meaningful, and incentives reinforce growth without infinite dilution. Draw this loop before you do anything else.

Users Spend token for real utility Product Utility Access, fees, marketplace, gas Fee Flows Burn, treasury, creators, validators Incentives Rewards users/builders to scale adoption Must taper into real demand over time pay creates funds bootstraps
A token survives when incentives evolve into real spending loops. If the loop breaks, emissions become a slow leak.

7.2 Validate the chain’s trust assumptions

  • Sequencer: who runs it, can it censor, is there a decentralization path?
  • Upgrades: who holds the keys, is there a timelock, what is the multisig threshold?
  • Data availability: is it posted onchain or delegated to a committee?
  • Exits: can you withdraw if something goes wrong, and how long does it take?

7.3 Track real usage, not marketing

When you research L3s, the easiest trap is to confuse “announcements” with “activity.” Learn to track: daily active users, transaction counts, fees, bridge inflows, and ecosystem apps shipping.

Shortcut: if you want a quick view of who is moving capital in and out, use on-chain dashboards and label-based analytics.

8) A practical tooling stack for researching L3s

The easiest way to stay consistent is to use a repeatable research stack. Here’s one that fits L3 ecosystems well.

  • Contract and risk checks: start every new token with a contract-level scan and review admin controls.
  • Wallet security: use hardware custody for serious positions and minimize hot wallet exposure to new chains.
  • On-chain intelligence: track liquidity flows, top holders, exchange inflows, and labeled entities.
  • Infrastructure (if you build): use managed nodes and compute for indexing, analytics, bots, and dashboards.
Optional tax and accounting layer: if you are bridging across multiple chains and doing lots of swaps, you will eventually need clean records. Tools like CoinTracking, Koinly, and CoinLedger exist for that workflow. Use them only if you actually trade frequently.

9) FAQ

Are Layer 3 blockchains “better” than Layer 2s?
Not automatically. L3s are more specialized. They can be better for a specific application (gaming, social, education) because they can tune performance and UX. But many L3s also start with stronger trust assumptions (centralized sequencers, upgrade keys). “Better” depends on your needs and risk tolerance.
Do L3 tokens always have real utility?
No. Some tokens are mainly incentives. Real utility usually shows up as gas demand, payments, fee capture, governance power, and product loops that keep users spending. Always map the token to a utility framework before assuming value.
What’s the biggest risk with new L3 ecosystems?
Contract-level and governance-level risk. Many early ecosystems have admin keys with broad powers and bridges that represent single points of failure. Use small sizes and always verify addresses before approvals. You can scan contracts here: Token Safety Checker →
How do I keep funds safer when exploring L3s?
Use hardware custody for long-term holdings, separate wallets for experiments, and avoid signing approvals you don’t understand. For serious capital, hardware wallets reduce hot wallet compromise risk: Ledger →
Where can I find more tools and learning resources?

10) Resources and next steps

If you want to keep learning without being overwhelmed, follow a simple sequence:

  1. Learn the stack: L1 vs L2 vs L3 and why settlement matters.
  2. Build a safety habit: scan contracts, verify admin controls, and isolate wallets.
  3. Map token utility: gas, governance, access, incentives, and fee capture.
  4. Track flows: use on-chain analytics to see what capital is doing, not what people claim.

Stay plugged into TokenToolHub

New chains, new tokens, and new risks show up daily. The fastest advantage is having a repeatable research workflow and a place to discuss findings.

Final reminder: L3 is a powerful direction for Ethereum scaling, but early ecosystems can be fragile. If you treat token utility as a product question, not a meme question, you will avoid most traps.

About the author: Wisdom Uche Ijika Verified icon 1
Solidity + Foundry Developer | Building modular, secure smart contracts.