Token Classification

Kajetan Olas

11 Mar 2024
Token Classification

Tokens, the lifeblood of blockchain ecosystems, are more than mere currency—they embody varying rights, functions, and roles. In this article, we demystify the complexities of token types, exploring how they differ and what makes each unique. Stay with us, as we dive into the intricacies of Token Classification!

Technology Domain of Token Classification

The technology underpinning a token determines its potential and applicability in a blockchain ecosystem. Here's a closer look at the technical classification:

Chain Type

  • Chain-Native Tokens: These are the foundational tokens of a blockchain, crucial for the network's operation and maintenance.
  • Forked Chain Tokens: Born from divergences in consensus, these tokens represent the evolution and diversity within blockchain technology.
  • Tokens Issued on Top of a Protocol: These tokens utilize existing blockchain infrastructures, showcasing the adaptability and expansiveness of digital assets.

Permission Levels

  • Permissioned Blockchains: With controlled access, these blockchains offer a more regulated environment.
  • Permissionless Blockchains: Open and decentralized, these blockchains champion freedom and inclusivity in network participation.

Number of Blockchains

  • Single-Chain Tokens: Confined to one blockchain, these tokens often signify simplicity and stability.
  • Cross-Chain Tokens: The bridgers of the blockchain world, they facilitate interoperability and connectivity among diverse networks.

Representation Type

  • Common Representation: Uniform in their features, these tokens reflect the collective movement of the market.
  • Unique Representation: Each token is distinct, carrying specific characteristics that set it apart from its peers.

Understanding these technical facets of tokens is crucial for stakeholders to navigate the blockchain landscape effectively. From developers shaping the next decentralized application to investors gauging the value of digital assets, recognizing these classifications is key when reading about blockchain technology.

Behavior Domain of Token Classification

Diving into the Behavior Domain, we uncover the functional characteristics that define the roles and uses of tokens within their ecosystems. This domain is pivotal because it dictates what you can do with a token and how it behaves independently of external factors.


  • Burnable: These tokens can be destroyed, often to manage supply and add scarcity.
  • Non-Burnable: These tokens cannot be destroyed, providing a consistent supply.


  • Expirable: With a digital "shelf-life", these tokens can be programmed to expire.
  • Non-Expirable: These tokens remain indefinitely, preserving their utility over time.


  • Spendable: These tokens can be used as a medium of exchange within their ecosystems.
  • Non-Spendable: Often representative or for governance, these tokens aren't meant for transactions.


  • Fungible: Interchangeable and identical in value, like traditional currency.
  • Non-Fungible (NFTs): Unique and distinct, each with individual characteristics.
  • Hybrid: Combining traits of both, with conditional fungibility.


  • Fractional: These can be divided into smaller units, allowing for micro-transactions.
  • Whole: Indivisible, these tokens maintain their value as a single unit.
  • Singleton: Unique, one-of-a-kind tokens that cannot be replicated or divided.


  • Tradable: These tokens can be exchanged or sold.
  • Non-Tradable: Tied to their owner, these tokens often relate to rights or memberships.
  • Delegable: Ownership remains, but usage rights can be passed on.

The Behavior Domain is essential for understanding what actions a token can facilitate, whether it's trading, voting, or accessing a platform's features. This knowledge enables users to navigate the complexities of the blockchain space more confidently and make informed decisions about the tokens they interact with.

Coordination Domain of Token Classification

The Coordination Domain addresses how tokens incentivize and manage participant interactions within the ecosystem. This domain highlights the strategic elements designed to guide behaviors towards achieving collective goals.

Underlying Value

  • Asset-based: Value tied to physical or digital assets.
  • Network Value: Dependent on the ecosystem's activity and token utility.
  • Share-like: Reflects equity-like characteristics and often faces regulatory scrutiny.

Supply Strategy

  • Schedule-based: Tokens are released according to a predetermined plan.
  • Pre-mined: Tokens are created all at once, with distribution occurring over time.
  • Discretionary: Issuance at the issuer's discretion, often for unique assets.
  • Matching demand: Supply adjusts in response to market demands.

Incentive Enablers

These are the token features that enable stakeholders to participate meaningfully in the ecosystem, including:

  • Rights to work or use: Tokens provide access to network functionalities or services.
  • Rights to vote: Tokens allow participation in governance decisions.
  • Financial roles: Tokens can serve as units of account, mediums of exchange, or stores of value.

Incentive Drivers

Incentive Drivers motivate stakeholders to use tokens in ways that benefit the network and themselves. This can include:

  • Access: Using tokens to engage with the network's offerings.
  • Financial incentives: Earning potential through dividends, rewards, or appreciation.
  • Governance: Influencing the ecosystem's evolution.

The Coordination Domain ultimately combines the token's economic and strategic designs to create a cohesive system that aligns individual actions with the broader objectives of the blockchain ecosystem.

Conclusion: The Multifaceted World of Token Classification

In our journey through token classification, we've unpacked the intricate layers that define tokens in the blockchain realm. From the foundational technology that undergirds their existence to the behaviors they exhibit and the strategic roles they play. Tokens are as varied as they are vital to the ecosystems they populate. Understanding these classifications is more than academic; it empowers participants to navigate, innovate, and invest with greater clarity and purpose. As blockchain technology continues to evolve, so too will the taxonomy of tokens. At Nextrope, we're not just observers but active participants and builders in this vibrant and ever-expanding digital landscape.

If you're looking to design a sustainable tokenomics model for your DeFi project, please reach out to Our team is ready to help you create a tokenomics structure that aligns with your project's long-term growth and market resilience.



What are the main categories for token classification?

  • Tokens are categorized based on technology, behavior, and coordination domains.

How to define Chain-Native Tokens?

  • As foundational tokens crucial for a blockchain's operation.

What is the significance of Burnability in token classification?

  • It indicates whether a token can be destroyed to manage supply.

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Token Engineering Process

Kajetan Olas

13 Apr 2024
Token Engineering Process

Token Engineering is an emerging field that addresses the systematic design and engineering of blockchain-based tokens. It applies rigorous mathematical methods from the Complex Systems Engineering discipline to tokenomics design.

In this article, we will walk through the Token Engineering Process and break it down into three key stages. Discovery Phase, Design Phase, and Deployment Phase.

Discovery Phase of Token Engineering Process

The first stage of the token engineering process is the Discovery Phase. It focuses on constructing high-level business plans, defining objectives, and identifying problems to be solved. That phase is also the time when token engineers first define key stakeholders in the project.

Defining the Problem

This may seem counterintuitive. Why would we start with the problem when designing tokenomics? Shouldn’t we start with more down-to-earth matters like token supply? The answer is No. Tokens are a medium for creating and exchanging value within a project’s ecosystem. Since crypto projects draw their value from solving problems that can’t be solved through TradFi mechanisms, their tokenomics should reflect that. 

The industry standard, developed by McKinsey & Co. and adapted to token engineering purposes by Outlier Ventures, is structuring the problem through a logic tree, following MECE.
MECE stands for Mutually Exclusive, Collectively Exhaustive. Mutually Exclusive means that problems in the tree should not overlap. Collectively Exhaustive means that the tree should cover all issues.

In practice, the “Problem” should be replaced by a whole problem statement worksheet. The same will hold for some of the boxes.
A commonly used tool for designing these kinds of diagrams is the Miro whiteboard.

Identifying Stakeholders and Value Flows in Token Engineering

This part is about identifying all relevant actors in the ecosystem and how value flows between them. To illustrate what we mean let’s consider an example of NFT marketplace. In its case, relevant actors might be sellers, buyers, NFT creators, and a marketplace owner. Possible value flow when conducting a transaction might be: buyer gets rid of his tokens, seller gets some of them, marketplace owner gets some of them as fees, and NFT creators get some of them as royalties.

Incentive Mechanisms Canvas

The last part of what we consider to be in the Discovery Phase is filling the Incentive Mechanisms Canvas. After successfully identifying value flows in the previous stage, token engineers search for frictions to desired behaviors and point out the undesired behaviors. For example, friction to activity on an NFT marketplace might be respecting royalty fees by marketplace owners since it reduces value flowing to the seller.


Design Phase of Token Engineering Process

The second stage of the Token Engineering Process is the Design Phase in which you make use of high-level descriptions from the previous step to come up with a specific design of the project. This will include everything that can be usually found in crypto whitepapers (e.g. governance mechanisms, incentive mechanisms, token supply, etc). After finishing the design, token engineers should represent the whole value flow and transactional logic on detailed visual diagrams. These diagrams will be a basis for creating mathematical models in the Deployment Phase. 

Token Engineering Artonomous Design Diagram
Artonomous design diagram, source: Artonomous GitHub

Objective Function

Every crypto project has some objective. The objective can consist of many goals, such as decentralization or token price. The objective function is a mathematical function assigning weights to different factors that influence the main objective in the order of their importance. This function will be a reference for machine learning algorithms in the next steps. They will try to find quantitative parameters (e.g. network fees) that maximize the output of this function.
Modified Metcalfe’s Law can serve as an inspiration during that step. It’s a framework for valuing crypto projects, but we believe that after adjustments it can also be used in this context.

Deployment Phase of Token Engineering Process

The Deployment Phase is final, but also the most demanding step in the process. It involves the implementation of machine learning algorithms that test our assumptions and optimize quantitative parameters. Token Engineering draws from Nassim Taleb’s concept of Antifragility and extensively uses feedback loops to make a system that gains from arising shocks.

Agent-based Modelling 

In agent-based modeling, we describe a set of behaviors and goals displayed by each agent participating in the system (this is why previous steps focused so much on describing stakeholders). Each agent is controlled by an autonomous AI and continuously optimizes his strategy. He learns from his experience and can mimic the behavior of other agents if he finds it effective (Reinforced Learning). This approach allows for mimicking real users, who adapt their strategies with time. An example adaptive agent would be a cryptocurrency trader, who changes his trading strategy in response to experiencing a loss of money.

Monte Carlo Simulations

Token Engineers use the Monte Carlo method to simulate the consequences of various possible interactions while taking into account the probability of their occurrence. By running a large number of simulations it’s possible to stress-test the project in multiple scenarios and identify emergent risks.

Testnet Deployment

If possible, it's highly beneficial for projects to extend the testing phase even further by letting real users use the network. Idea is the same as in agent-based testing - continuous optimization based on provided metrics. Furthermore, in case the project considers airdropping its tokens, giving them to early users is a great strategy. Even though part of the activity will be disingenuine and airdrop-oriented, such strategy still works better than most.

Time Duration

Token engineering process may take from as little as 2 weeks to as much as 5 months. It depends on the project category (Layer 1 protocol will require more time, than a simple DApp), and security requirements. For example, a bank issuing its digital token will have a very low risk tolerance.

Required Skills for Token Engineering

Token engineering is a multidisciplinary field and requires a great amount of specialized knowledge. Key knowledge areas are:

  • Systems Engineering
  • Machine Learning
  • Market Research
  • Capital Markets
  • Current trends in Web3
  • Blockchain Engineering
  • Statistics


The token engineering process consists of 3 steps: Discovery Phase, Design Phase, and Deployment Phase. It’s utilized mostly by established blockchain projects, and financial institutions like the International Monetary Fund. Even though it’s a very resource-consuming process, we believe it’s worth it. Projects that went through scrupulous design and testing before launch are much more likely to receive VC funding and be in the 10% of crypto projects that survive the bear market. Going through that process also has a symbolic meaning - it shows that the project is long-term oriented.

If you're looking to create a robust tokenomics model and go through institutional-grade testing please reach out to Our team is ready to help you with the token engineering process and ensure your project’s resilience in the long term.


What does token engineering process look like?

  • Token engineering process is conducted in a 3-step methodical fashion. This includes Discovery Phase, Design Phase, and Deployment Phase. Each of these stages should be tailored to the specific needs of a project.

Is token engineering meant only for big projects?

  • We recommend that even small projects go through a simplified design and optimization process. This increases community's trust and makes sure that the tokenomics doesn't have any obvious flaws.

How long does the token engineering process take?

  • It depends on the project and may range from 2 weeks to 5 months.

What is Berachain? 🐻 ⛓️ + Proof-of-Liquidity Explained


18 Mar 2024
What is Berachain? 🐻 ⛓️ + Proof-of-Liquidity Explained

Enter Berachain: a high-performance, EVM-compatible blockchain that is set to redefine the landscape of decentralized applications (dApps) and blockchain services. Built on the innovative Proof-of-Liquidity consensus and leveraging the robust Polaris framework alongside the CometBFT consensus engine, Berachain is poised to offer an unprecedented blend of efficiency, security, and user-centric benefits. Let's dive into what makes it a groundbreaking development in the blockchain ecosystem.

What is Berachain?


Berachain is an EVM-compatible Layer 1 (L1) blockchain that stands out through its adoption of the Proof-of-Liquidity (PoL) consensus mechanism. Designed to address the critical challenges faced by decentralized networks. It introduces a cutting-edge approach to blockchain governance and operations.

Key Features

  • High-performance Capabilities. Berachain is engineered for speed and scalability, catering to the growing demand for efficient blockchain solutions.
  • EVM Compatibility. It supports all Ethereum tooling, operations, and smart contract languages, making it a seamless transition for developers and projects from the Ethereum ecosystem.
  • Proof-of-Liquidity.This novel consensus mechanism focuses on building liquidity, decentralizing stake, and aligning the interests of validators and protocol developers.


EVM-Compatible vs EVM-Equivalent


EVM compatibility means a blockchain can interact with Ethereum's ecosystem to some extent. It can interact supporting its smart contracts and tools but not replicating the entire EVM environment.


An EVM-equivalent blockchain, on the other hand, aims to fully replicate Ethereum's environment. It ensures complete compatibility and a smooth transition for developers and users alike.

Berachain's Position

Berachain can be considered an "EVM-equivalent-plus" blockchain. It supports all Ethereum operations, tooling, and additional functionalities that optimize for its unique Proof-of-Liquidity and abstracted use cases.

Berachain Modular First Approach

At the heart of Berachain's development philosophy is the Polaris EVM framework. It's a testament to the blockchain's commitment to modularity and flexibility. This approach allows for the easy separation of the EVM runtime layer, ensuring that Berachain can adapt and evolve without compromising on performance or security.

Proof Of Liquidity Overview

High-Level Model Objectives

  • Systemically Build Liquidity. By enhancing trading efficiency, price stability, and network growth, Berachain aims to foster a thriving ecosystem of decentralized applications.
  • Solve Stake Centralization. The PoL consensus works to distribute stake more evenly across the network, preventing monopolization and ensuring a decentralized, secure blockchain.
  • Align Protocols and Validators. Berachain encourages a symbiotic relationship between validators and the broader protocol ecosystem.

Proof-of-Liquidity vs Proof-of-Stake

Unlike traditional Proof of Stake (PoS), which often leads to stake centralization and reduced liquidity, Proof of Liquidity (PoL) introduces mechanisms to incentivize liquidity provision and ensure a fairer, more decentralized network. Berachain separates the governance token (BGT) from the chain's gas token (BERA) and incentives liquidity through BEX pools. Berachain's PoL aims to overcome the limitations of PoS, fostering a more secure and user-centric blockchain.

Berachain EVM and Modular Approach

Polaris EVM

Polaris EVM is the cornerstone of Berachain's EVM compatibility, offering developers an enhanced environment for smart contract execution that includes stateful precompiles and custom modules. This framework ensures that Berachain not only meets but exceeds the capabilities of the traditional Ethereum Virtual Machine.


The CometBFT consensus engine underpins Berachain's network, providing a secure and efficient mechanism for transaction verification and block production. By leveraging the principles of Byzantine fault tolerance (BFT), CometBFT ensures the integrity and resilience of the Berachain blockchain.


Berachain represents a significant leap forward in blockchain technology, combining the best of Ethereum's ecosystem with innovative consensus mechanisms and a modular development approach. As the blockchain landscape continues to evolve, Berachain stands out as a promising platform for developers, users, and validators alike, offering a scalable, efficient, and inclusive environment for decentralized applications and services.


For those interested in exploring further, a wealth of resources is available, including the Berachain documentation, GitHub repository, and community forums. It offers a compelling vision for the future of blockchain technology, marked by efficiency, security, and community-driven innovation.


How is Berachain different?

  • It integrates Proof-of-Liquidity to address stake centralization and enhance liquidity, setting it apart from other blockchains.

Is Berachain EVM-compatible?

  • Yes, it supports Ethereum's tooling and smart contract languages, facilitating easy migration of dApps.

Can it handle high transaction volumes?

  • Yes, thanks to the Polaris framework and CometBFT consensus engine, it's built for scalability and high throughput.