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Guides

How to Design a Tokenomics Model Aligned with Securities Laws

A developer-focused guide on structuring prediction market tokenomics to avoid security classification, covering utility functions, smart contract patterns, and regulatory safeguards.
Chainscore © 2026
introduction
LEGAL FRAMEWORK

Introduction: The Tokenomics-Securities Law Intersection

A practical guide for developers and founders on designing tokenomics that align with securities regulations, focusing on the Howey Test and decentralization.

Designing a tokenomics model requires balancing economic incentives with legal compliance. The primary legal framework in the United States is the Howey Test, established by the Supreme Court. An asset is considered a security if it involves (1) an investment of money, (2) in a common enterprise, (3) with an expectation of profit, (4) derived from the efforts of others. For token issuers, the critical factor is often the fourth prong: whether profits are expected from the managerial efforts of a central party. A token that fails this test may be classified as a security, triggering registration requirements with the SEC or seeking an exemption.

To mitigate securities risk, the goal is to design a token that is sufficiently decentralized or has a primary consumptive use. This means the token's value should not be predominantly tied to the ongoing development work of the founding team. Key design considerations include: - Utility at Launch: The token should have a clear, functional use within a live network or application from day one, such as paying for gas fees on a blockchain or accessing a software service. - No Profit Promises: Avoid marketing the token as an investment or making forward-looking statements about price appreciation. - Distribution Mechanism: Airdrops to active users or sales structured as Simple Agreements for Future Tokens (SAFTs) to accredited investors are common compliant paths.

Real-world examples illustrate this spectrum. Filecoin conducted a SAFT offering to accredited investors, explicitly treating its early sale as a security while aiming for a functional, decentralized storage network. In contrast, the SEC alleged that Ripple's XRP was an unregistered security because initial sales were marketed as investments and Ripple Labs controlled significant supply and ecosystem development. A more decentralized model is seen with Ethereum, where the transition to proof-of-stake involved a native token (ETH) with a long-established utility for gas and governance, reducing reliance on a central promoter.

From a technical implementation perspective, smart contracts can encode compliance features. For example, vesting schedules for team tokens can be enforced on-chain using time-locks, as seen in OpenZeppelin's VestingWallet contract. Furthermore, designing tokenomics where governance is decentralized is crucial. This means transferring control of protocol upgrades and treasury management to a Decentralized Autonomous Organization (DAO). The more operational control is ceded to a broad, permissionless set of token holders, the weaker the "efforts of others" argument becomes under the Howey Test.

Continuous assessment is necessary. Legal opinions are not permanent; a token's status can change based on network maturity and centralization. Founders should document their decentralization roadmap and consult with legal counsel specializing in digital assets. Resources like the Framework for 'Investment Contract' Analysis of Digital Assets published by the SEC provide official guidance. The key is to build tokenomics where value accrual is a byproduct of organic network usage and decentralized governance, not promotional promises.

prerequisites
LEGAL COMPLIANCE

Prerequisites and Legal Disclaimer

This guide outlines the technical and legal prerequisites for designing a tokenomics model that aligns with securities regulations. It is not legal advice.

Before designing any tokenomics model, you must establish a foundational understanding of blockchain technology and the specific regulatory environment for your target jurisdictions. You should be proficient in reading and writing smart contracts (typically in Solidity for Ethereum or Rust for Solana), as the token's functionality is encoded in its contract logic. Familiarity with concepts like token standards (ERC-20, ERC-721), decentralized governance, and on-chain analytics is essential. This technical knowledge allows you to implement the economic mechanisms you design, from minting schedules to staking rewards.

The most critical prerequisite is a clear legal framework. Securities laws, such as the Howey Test in the United States or the MiCA regulation in the European Union, determine whether a digital asset is classified as a security. A token is likely a security if investors provide capital with an expectation of profits derived from the managerial efforts of others. Your tokenomics must be designed to either comply with securities registration requirements or to decentralize the project sufficiently to fall outside this classification. This often involves structuring the token's utility to be intrinsic to a functioning network, not merely a speculative investment.

You must engage qualified legal counsel specializing in digital assets from the project's inception. A lawyer will help you navigate the safe harbor provisions, such as those proposed in the Token Safe Harbor 2.0 framework, and structure your token distribution (e.g., public sale, private rounds, team allocation) to mitigate regulatory risk. Document all design decisions, especially those related to decentralization, utility, and profit expectations. This documentation is vital for any regulatory inquiry or SEC no-action letter request. Never rely on public guides or precedents from other projects as definitive legal strategy.

Finally, conduct a thorough risk assessment. Identify all parties who could be deemed "issuers" or "promoters" under the law. Design your governance model to progressively transfer control to a decentralized autonomous organization (DAO) to reduce central points of failure and managerial control. Use vesting schedules and lock-ups for team and investor tokens to demonstrate a long-term commitment and avoid the appearance of a pump-and-dump scheme. Your tokenomics whitepaper should transparently disclose all these mechanisms, associated risks, and the legal disclaimers, making it clear that the token is not an investment contract.

key-concepts-text
CORE REGULATORY CONCEPTS FOR DEVELOPERS

How to Design a Tokenomics Model Aligned with Securities Laws

A technical guide for developers on structuring token economics to mitigate securities law risks, focusing on the Howey Test and decentralization.

Designing a tokenomics model that aligns with securities laws begins with a foundational understanding of the Howey Test. In the U.S., the SEC uses this test to determine if an asset is an investment contract (a security). The test has four prongs: (1) an investment of money, (2) in a common enterprise, (3) with an expectation of profit, (4) derived from the efforts of others. If your token's design and marketing trigger all four prongs, it is likely a security. The primary goal for developers is to structure token utility and distribution to avoid creating a strong expectation of profit from the managerial efforts of a central team.

The most critical factor is decentralization. A network where control, development, and future profits are not dependent on a central promoter's efforts is less likely to be deemed a security. Key design choices include: - Launching with a functional, usable protocol at TGE (Token Generation Event). - Distributing tokens broadly to a decentralized community, not just investors. - Ensuring token utility is intrinsic to the network's operation (e.g., for governance, gas fees, or access) rather than as a passive investment vehicle. - Structuring vesting schedules and treasury management to be governed by a DAO, not a core team. The Ethereum network's evolution is a prime example of a sufficiently decentralized network where ETH is not treated as a security.

Developers must also carefully design the initial distribution and marketing communications. Avoid promises of future returns, price predictions, or comparisons to stocks. Instead, focus communications on the token's utility within the ecosystem. For example, a token granting voting power in a DAO, used to pay for API calls in a decentralized service, or required as collateral in a lending protocol demonstrates consumptive use. The SAFT (Simple Agreement for Future Tokens) model, while once popular, now carries significant regulatory risk for U.S.-based projects unless paired with a fully functional network at delivery.

Consider implementing technical and governance features that reduce reliance on a central entity. This includes on-chain governance where token holders vote on protocol upgrades, decentralized development funds managed by the DAO, and permissionless participation in network validation or service provision. The more the network's success depends on the collective, permissionless efforts of its users, the stronger the argument against it being a common enterprise. Reference frameworks like the Hinman Speech and recent court rulings (e.g., SEC v. Ripple Labs) highlight the importance of the economic reality and the context of transactions.

For practical implementation, audit your token's smart contracts for compliance features. This includes enforcing transfer restrictions or lock-ups if required, integrating with decentralized identity for jurisdictional compliance, and ensuring treasury management logic is transparent and non-custodial. Tools like OpenZeppelin's Governor contracts for DAOs or ERC-20 with ERC-1404 for transfer restrictions can provide building blocks. Always consult with legal counsel specializing in digital assets to review your specific tokenomics model, whitepaper, and launch strategy before proceeding to a public sale or listing.

REGULATORY SIGNALS

Token Design Patterns: Security vs. Utility Signals

How specific token mechanics are interpreted by regulators like the SEC under the Howey Test.

Design FeatureSecurity Signal (High Risk)Utility Signal (Lower Risk)Example / Rationale

Profit Expectation

Promises of returns via buybacks, dividends, or staking APY.

Common Enterprise

Value is tied to the managerial efforts of a core development team.

Initial Fundraising

Primary Use

Incidental

Token sale funds project development vs. grants/airdrops post-launch.

Token Function

Investment Contract

Access Key

Acts as a speculative asset vs. a required input for a live network.

Transferability

Unrestricted

Use-Locked

Freely traded on secondary markets vs. non-transferable or gated by utility.

Marketing Focus

Price/ROI

Function/Capability

Promotes investment potential vs. technical features and use cases.

Holder Rights

Governance/Profit Share

None or Usage Rights

Voting on profits or fees vs. voting on protocol parameters.

Distribution Timing

Pre-Functional Network

Post-Functional Network

Sold before a working product vs. earned or sold for access to a live system.

step-1-utility-function
TOKENOMICS FOUNDATION

Step 1: Architecting a Clear, Non-Speculative Utility Function

The first and most critical step in compliant token design is defining a concrete utility that is not primarily a store of value or investment contract. This establishes the token's fundamental purpose under regulatory scrutiny.

A utility function defines the specific, non-financial purpose a token serves within its native ecosystem. Under frameworks like the Howey Test, a token is more likely to be classified as a security if purchasers are primarily motivated by profit from the efforts of others. Therefore, the utility must be operational and consumptive. Key questions to answer are: What specific action or access does holding or spending this token enable? How is this utility consumed or expended through use? Examples include paying for compute resources on a decentralized network like Akash, governing a DAO's treasury via Compound's COMP, or minting an NFT that serves as a membership pass.

The utility must be objectively verifiable and accessible at launch or on a clear roadmap. Vague promises of future utility or ecosystem development can be construed as an investment contract. Document the utility in your whitepaper and smart contract logic. For instance, a function burnForService() that irrevocably destroys tokens to access a cloud API is a clear consumptive mechanism. Contrast this with a token whose only functions are transfer() and approve()—its primary utility is transferability itself, which is a hallmark of a security. The Ethereum network's ETH demonstrates a clear utility: it is the mandatory fuel (gas) for executing transactions and smart contracts on its blockchain.

Design the token's economic mechanics to reinforce its utility, not speculation. Implement mechanisms like fee burn, staking-for-access, or time-locked vesting that tie token consumption to real usage. For example, Ethereum's EIP-1559 burns a portion of transaction fees, creating a link between network usage (utility) and token supply. Avoid designs that heavily reward passive holding or create strong reflexive price feedback loops. The token should function as a tool, not a treasury asset. Its value accrual should be a secondary effect of utility-driven demand, not the primary design goal.

Legal precedent emphasizes substance over form. Simply calling your token a "utility token" is insufficient. Regulators like the SEC will examine the economic reality and marketing messages. Ensure all public communications—from your website to community chats—consistently emphasize the token's functional use over its investment potential. Documenting user stories and real-world integration partners who will consume the token for its utility strengthens your case. This alignment between technical design, economic mechanics, and public messaging forms the bedrock of a defensible, non-speculative token model.

step-2-avoiding-profit-expectation
TOKENOMICS DESIGN

Step 2: Mitigating 'Expectation of Profit' in Smart Contracts

This guide explains how to structure token utility and governance to avoid the legal classification of a security under the Howey Test.

The Howey Test defines an investment contract as involving (1) an investment of money (2) in a common enterprise (3) with an expectation of profits (4) derived from the efforts of others. For token projects, the third and fourth prongs are most critical. A tokenomics model that creates a clear expectation of profit primarily from the development team's work is legally precarious. The goal is to design a system where value accrual is a secondary effect of genuine, consumptive use, not a primary investment thesis.

Core utility must be immediate and functional, not speculative. For example, a governance token should grant voting rights on protocol parameters, treasury allocation, or upgrade proposals from day one. A utility token should be required to pay fees for a live service, like accessing compute resources or minting NFTs. Avoid promises of future functionality or vague roadmaps as the primary value driver. The SEC's case against LBRY highlighted how marketing that emphasized the token's potential future value contributed to its security status.

Implementing vesting schedules and lock-ups for team and investor tokens is a technical necessity, but their design matters. Aggressive, short-term unlocks can signal an intent to dump tokens on the market, aligning with investor profit motives. Conversely, long-term, linear vesting (e.g., over 4 years with a 1-year cliff) tied to continued development demonstrates commitment to the project's utility. Smart contracts should enforce these terms immutably. Use established audited contracts like OpenZeppelin's VestingWallet to ensure transparency and security.

Staking rewards present a significant legal gray area. Pure yield from token inflation, with no additional work required by the user, can be viewed as a profit expectation. To mitigate this, align staking with productive network functions. For instance, staking could be required to run a validator node, provide liquidity in a designated pool, or insure a protocol. The rewards should be framed as compensation for this service, not passive income. The model used by Lido (stETH) for Ethereum staking is a key example, where the token represents staked assets and utility within its ecosystem.

Code examples should reflect utility-first design. A mint function should not be a simple sale; it should be gated by proof of a specific action. For example:

solidity
function mintAccessToken(bytes32 taskProof) external payable {
    require(verifyTaskCompletion(msg.sender, taskProof), "Proof invalid");
    require(msg.value == USAGE_FEE, "Incorrect fee");
    _mint(msg.sender, 1);
}

This pattern ties token issuance to a verifiable action (task completion) and a fee for a service, not a speculative investment.

Finally, transparent and consistent communication is critical. All public statements, documentation, and marketing should emphasize the token's use cases, governance rights, and network utility. Avoid price discussions, ROI projections, or comparisons to investments. The Framework for 'Investment Contract' Analysis of Digital Assets published by the SEC stresses the importance of the 'objective' intentions and expectations created by the promoter. Your smart contract's design and your public messaging must be in complete alignment to pass regulatory scrutiny.

step-3-decentralizing-efforts
SECURITY LAW COMPLIANCE

Step 3: Decentralizing 'Efforts of Others' Through Governance and Curation

This step focuses on mitigating the "efforts of others" prong of the Howey Test by designing governance and curation systems that are genuinely decentralized and community-led.

The "efforts of others" prong of the Howey Test is a critical legal hurdle for token projects. It asks whether investors reasonably expect profits derived from the managerial or entrepreneurial efforts of a third party. To avoid being classified as a security, a project must demonstrate that its success does not depend on a central, essential group. This is where decentralized governance and permissionless curation become essential components of compliant tokenomics. The goal is to architect systems where the network's development, upgrades, and key decisions are made by a broad, dispersed community, not a core team.

Effective decentralization requires more than a simple token vote. The design must prevent centralization of power and ensure the network can function and evolve independently. Key mechanisms include:

  • Progressive Decentralization Roadmap: A clear, public timeline for transferring control from founders to token holders, often through a DAO (Decentralized Autonomous Organization). Projects like Compound and Uniswap executed this by gradually ceding control of protocol treasuries and upgrade keys to their community governance.
  • Permissionless Participation: Anyone must be able to contribute code, run infrastructure (like validators or oracles), or submit proposals without needing approval from a central entity. This is a hallmark of networks like Ethereum and Bitcoin.
  • Minimal Essential Management: The protocol should be designed to require as little ongoing "management" as possible. Automated systems, smart contract logic, and community-driven incentives should handle core functions.

For curation—such as listing assets on a DEX or funding grants in an ecosystem—the system must be open and algorithmic, not centrally gated. A model that relies on a multisig wallet controlled by founders to approve listings creates a clear dependency on their efforts. In contrast, a model like Uniswap v3's permissionless pool creation or Curve's gauge weight voting (where veCRV holders direct emissions) decentralizes this critical function. The legal distinction hinges on whether the profit-driving activity (e.g., selecting high-yield assets) is performed by a dispersed community using transparent rules versus a central team.

Implementing this requires careful smart contract design. Governance contracts should use a timelock (e.g., OpenZeppelin's TimelockController) to delay execution of passed proposals, preventing sudden, malicious changes. Voting power should ideally be non-transferable or locked (via ve-token models) to align long-term incentives. Furthermore, the scope of governance should be limited; for example, a DAO might control treasury funds and broad parameter adjustments, but not have the power to arbitrarily alter user balances or censor transactions, preserving the protocol's credibly neutral base layer.

Real-world analysis is instructive. The SEC's case against LBRY centered on the company's ongoing essential efforts to develop the network and drive adoption. Conversely, in 2018, the SEC's Framework for 'Investment Contract' Analysis of Digital Assets noted that a token might not be a security if the network is "sufficiently decentralized"—where purchasers would no longer reasonably expect a person or group to carry out essential managerial or entrepreneurial efforts. Your tokenomics model must provide a defensible argument that your project meets this standard through its operational design and governance structures.

step-4-transfer-restrictions
COMPLIANCE MECHANISM

Step 4: Implementing Transfer Restrictions (If Necessary)

For tokens that may be considered securities, implementing on-chain transfer restrictions is a critical technical safeguard to enforce regulatory compliance and prevent unauthorized secondary trading.

Transfer restrictions are programmatic rules embedded within a token's smart contract that limit who can hold or trade the token and under what conditions. These are not mere terms of service; they are enforceable on-chain logic. Common restriction types include whitelists for approved addresses, lock-up periods that prevent transfers for a set duration, and geoblocking based on the user's IP or wallet metadata. The primary goal is to ensure tokens are only distributed to accredited or verified investors in jurisdictions where the offering is registered or exempt, thereby aligning with regulations like the U.S. Securities Act of 1933.

Implementing these restrictions requires careful smart contract design. A basic approach uses a modifier to check a whitelist before any transfer function executes. For example, using OpenZeppelin's libraries, you can override the _beforeTokenTransfer hook in an ERC-20 or ERC-721 contract. More sophisticated systems might integrate with off-chain verification services (like a KYC provider's API) to dynamically update the on-chain whitelist. It's crucial that the restriction logic is immutable and tamper-proof once deployed, or governed by a multi-sig wallet with strict legal oversight to prevent unilateral removal of protections.

Consider a practical code snippet for a whitelist restriction in a Solidity ERC-20 contract:

solidity
contract RestrictedToken is ERC20 {
    address public complianceOracle;
    mapping(address => bool) public whitelist;

    modifier onlyWhitelisted(address from, address to) {
        require(whitelist[from] && whitelist[to], "Address not whitelisted");
        _;
    }

    function _beforeTokenTransfer(address from, address to, uint256 amount)
        internal
        virtual
        override
        onlyWhitelisted(from, to)
    {
        super._beforeTokenTransfer(from, to, amount);
    }
    // Function to update whitelist (should be restricted to complianceOracle)
}

This ensures transfers only occur between pre-approved addresses.

The legal and technical design must be aligned. Simply having a whitelist is insufficient if the process for adding investors is not compliant. The system should document how investors are verified (accreditation checks, KYC), who controls the whitelist (a legally obligated entity), and the conditions for removal (e.g., after a holding period or upon regulatory clearance). Furthermore, consider the user experience: a seamless integration that checks eligibility during a wallet connection or purchase flow is better than a transaction that simply fails.

It's important to note that transfer restrictions can impact liquidity and valuation. Tokens that cannot be freely traded on secondary markets may be less attractive to some investors. Therefore, the tokenomics model should clearly state if and when restrictions will be lifted, such as upon the achievement of a specific milestone (e.g., Network Maturity or Regulatory Qualification) or after a predefined time-based lock-up expires. This timeline should be transparent in the project's legal disclosures and technically enforced by the smart contract.

Finally, regularly audit and test the restriction logic. Engage a third-party smart contract auditing firm to review the code for vulnerabilities that could allow circumvention. The consequences of a faulty implementation—allowing unauthorized transfers of a security—are severe, potentially resulting in regulatory penalties and loss of key legal exemptions. Properly implemented, transfer restrictions are a powerful tool to build a compliant token ecosystem from the ground up.

TECHNICAL IMPLEMENTATION

Code Examples: Utility Enforcement and Safe Patterns

Safe Contract Patterns for Compliance

These Solidity snippets demonstrate patterns that emphasize utility and avoid security-like features.

1. Access Gating for Protocol Features:

solidity
// Require token balance to access a premium function
contract PremiumService {
    IERC20 public utilityToken;
    
    function usePremiumFeature() external {
        require(utilityToken.balanceOf(msg.sender) >= 100 * 10**18, "Insufficient token balance for access");
        // Execute premium logic
    }
}

2. Burning Transaction Fees (No Profit Distribution):

solidity
// Burn fees instead of distributing to holders
contract UtilityDEX {
    IERC20 public feeToken;
    uint256 public feePercentage = 30; // 0.3%
    
    function swap(...) external {
        // Calculate fee
        uint256 fee = (amountIn * feePercentage) / 10000;
        // Transfer fee from user and burn it
        feeToken.transferFrom(msg.sender, address(0xdead), fee);
        // Execute swap with remaining amount
    }
}

3. Time-Locked Staking Rewards:

solidity
// Rewards are locked to prevent immediate sale
contract StakingWithLock {
    struct Stake {
        uint256 amount;
        uint256 unlockTime;
    }
    mapping(address => Stake) public stakes;
    uint256 public constant LOCK_DURATION = 90 days;
    
    function claimRewards() external {
        Stake memory userStake = stakes[msg.sender];
        require(block.timestamp >= userStake.unlockTime, "Tokens still locked");
        // Transfer rewards
    }
}
SECURITY & COMPLIANCE

Frequently Asked Questions on Tokenomics and Regulation

Common questions from developers on designing token models that are functional, sustainable, and compliant with evolving securities laws.

The Howey Test is the primary legal framework used by the U.S. Securities and Exchange Commission (SEC) to determine if an asset is a security. A token is likely a security if it meets four criteria: 1) An investment of money, 2) In a common enterprise, 3) With a reasonable expectation of profits, 4) Derived from the efforts of others.

For developers, the critical factor is often the expectation of profits from others' efforts. If your marketing, roadmap, or token utility emphasizes future development by a core team that will increase the token's value, it risks being classified as a security. Conversely, tokens that are immediately functional for accessing a network (like a gas token or a governance token for a live, decentralized protocol) have a stronger argument for being a utility.

You should analyze your project's specific facts and consult legal counsel. The SEC's actions against projects like LBRY and Ripple highlight the nuanced application of this test.

conclusion
IMPLEMENTATION CHECKLIST

Conclusion and Next Steps

This guide has outlined the critical legal and technical considerations for designing a compliant tokenomics model. The final step is to synthesize these principles into a practical action plan.

To operationalize your compliant tokenomics model, begin by formalizing your findings. Create a Token Design Memo that documents your model's key parameters, the rationale behind them, and the legal analysis supporting their structure. This should include: the token's primary utility, the vesting and release schedule for team/advisor tokens, the absence of profit-sharing promises, and the governance mechanisms that ensure decentralization. This document is essential for internal alignment and for discussions with legal counsel.

Your next critical step is engaging specialized legal counsel. Do not rely on general corporate lawyers. Seek firms with proven experience in digital asset securities law, such as those who have worked on successful regulatory engagements with the SEC's Strategic Hub for Innovation and Financial Technology (FinHub). They will help you stress-test your model, potentially prepare a legal opinion letter, and guide you on whether to pursue a path like the Regulation D exemption or an Analysis of a Security Token Offering under the Howey Test. The cost of expert counsel is a non-negotiable investment in mitigating existential regulatory risk.

Finally, implement technical safeguards that enforce your model's legal promises. Code your vesting schedules directly into the token's ERC-20 or ERC-721 smart contract using time-locks or a vesting wallet contract. For governance, deploy a decentralized autonomous organization (DAO) framework, such as OpenZeppelin Governor, to distribute voting power to token holders based on utility, not investment. Ensure all public communications—your website, whitepaper, and social media—consistently describe the token as a utility asset and avoid any language implying future profits. Continuous monitoring of regulatory guidance from bodies like the SEC and international regulators is required, as the legal landscape for tokenomics is still evolving.

How to Design Tokenomics to Avoid Securities Laws | ChainScore Guides