Start with the business, not the token.
Tokenomics consulting delivered as one Data Room in four to six weeks: design, supply and vesting, liquidity, audit and whitepaper. 100+ projects advised.
Clients & Partners Include
Thirty minutes with Tony. Bring your model or bring the problem.
What is tokenomics consulting?
Tokenomics consulting is the design, documentation and stress-testing of a token's economic model before capital is at risk. A consultant decides whether the token needs to exist, designs how it earns demand, sets supply and vesting, plans launch liquidity, audits what breaks, and writes documentation developers, counsel and investors can each act on.
What we do
One engagement covering all of it. Mechanism design, supply and vesting, liquidity and launch, an independent audit, economic simulation where the raise needs it, and the whitepaper last so every claim in it traces back to an analysis. Four to six weeks.
Who it is for
Founders raising on a token, or launching one inside the next three to twelve months, with a product and users already underneath it. Also founders with a real business and no crypto background who need a guide through the design rather than a document at the end.
What you receive
A data room, not a deck. The whitepaper in Doc and PDF, supply-side and revenue spreadsheets with every formula visible and editable, process maps with source files, smart contract pseudocode your developers build from, the audit report with severity-rated risks, market research, and a handoff guide written for each team.
We sell it as one scope because the pieces only work when the same team fits them together. The vehicle is the Tokenomics Data Room.
What a tokenomics consultant does
A tokenomics consultant owns the economic decisions a development team cannot make for you. That means whether the token is necessary, what gives anyone a reason to hold it, who receives how much, and when they can sell.
The work is quantitative before it is editorial. That is why the audit runs fourteen or more separate analyses, and why the spreadsheets ship with the formulas showing.
A consultant who hands you a conclusion without the model behind it has given you an opinion, not a deliverable.
What Tokenomics Consulting Actually Covers
The phrase covers very different amounts of work depending on who is saying it. Here is the full scope, each discipline with the question it answers and the gap it leaves when it is missing. We deliver all seven as one engagement.
| # | Scope Area | What It Answers | What Gets Skipped |
|---|---|---|---|
| 01 | Token necessity and classification | Should this token exist, and what is it legally? | Skipped entirely; the token is assumed |
| 02 | Mechanism design | What does the token do and why does anyone hold it? | A diagram with no revenue underneath |
| 03 | Supply, allocation, and vesting | Who gets what, and when can they sell? | A template allocation table |
| 04 | Liquidity and launch strategy | Can the market absorb the float at launch? | Ignored until launch week |
| 05 | Tokenomics audit | What breaks, and how badly? | No independent risk pass |
| 06 | Economic simulation | Does the model survive stress and bad markets? | Rarely offered at all |
| 07 | Documentation | Can investors, lawyers, and developers actually use it? | A marketing whitepaper, not a spec |
The difference between real consulting and a cheap deliverable is whether the work connects. A clever mechanism with a greedy allocation, a launch with no liquidity plan, or a whitepaper with no analysis behind it are all ways a token fails despite one good piece.
We also work two verticals where the category is moving fastest: real-world asset protocols and DePIN networks, plus specialist work in GameFi and liquid staking and restaking.
How to evaluate a tokenomics consultant
Most of this market is bought on a call, which means the buyer is judging confidence rather than work. These are the eight things that actually separate a complete engagement from an expensive document, written as questions you can ask on a first call.
Use the list on us too. If a provider cannot answer one of these in plain language, that is the answer.
| Criterion | What good looks like | What to ask |
|---|---|---|
| Starting point | The engagement opens with the business model and revenue streams, and the token attaches to them. Mechanics come after the money is mapped. | Show me where revenue enters the model before any token mechanic is drawn. |
| Scope completeness | Mechanism, supply and vesting, liquidity, audit and documentation are one connected scope. Nothing is left for the founder to reconcile. | Which of these do you not do, and who picks it up when you stop? |
| Deliverable format | Editable models. Spreadsheets with the formulas visible, process maps with source files, pseudocode a developer can build from. | Do I get the spreadsheet with the formulas, or only the output? |
| Quantitative backing | Every recommendation ties to a specific analysis. Vesting modeled month by month, headline unlock separated from realistic float, liquidity depth across trade sizes. | What monthly buy pressure does my launch price require, and show me the work. |
| Independent risk pass | A review that runs against the design and reports what breaks, with severity ratings rather than a summary of strengths. | What did you tell your last client was wrong with their model? |
| Willingness to say no | A provider who will conclude you do not need a token, and will say so before the invoice rather than after. | When did you last advise a client against launching a token? |
| Handoff | Counsel, developers and marketing can each act from the documents without a translator in the middle. | What does my solidity developer build from, and what does my counsel read? |
| Operating history | Experience running an economy live, not only advising on them. Pattern recognition from launches that went wrong as well as right. | What have you launched yourself, and what did it cost you to learn it? |
Two of these are worth more than the other six. The first is whether the revenue comes before the token, because a token with nothing real flowing underneath it is a countdown timer and no mechanic fixes that.
The second is the willingness to say no. A provider whose answer to every brief is a token has a product to sell, not a judgment to offer.
Our answers to all eight sit on this page and on the Data Room page. The full deliverable list and tier structure is there.
- 100+
- Projects Advised
- $100M+
- Combined Raises
- $200M+
- Own Project Market Cap
- 75K
- Community Members
What the work has produced
The credibility here is built, not claimed.
100+ projects advised through more than $100M in combined raises. The pattern recognition is lived, not theoretical.
Our own track record. We grew a project to a $200M market cap with a community of 75,000. We are not advising from the sidelines.
A quantitative validation layer. Monte Carlo simulation and agent-based modeling back the designs that face real regulatory and institutional scrutiny.
Institutional-grade documentation. The standard matches private-bank quality, not crypto-startup quality, because that is the bar an investor's diligence team holds you to.
Nosana
Decentralized GPU compute ($NOS). Tokenomics redesign.
Contributor incentives and demand mechanisms validated by simulation before implementation.
Read the case study
Roark Aerospace
Aerospace DePIN. Reward mechanism redesign.
Reward fairness violations from roughly 25% to 0%. Coverage-to-reward correlation up 34%.
Read the case study
EcoYield Energy
Solar asset tokenization.
IRR projections, presale mechanics, staking and fee structure, explainable to investors.
Read the case studyFigures adjusted for confidentiality.
“Tony is a world expert in tokenomics. His involvement was a game-changer for us.”
If you are raising on a token, the model gets checked either by us or by your investors.
Book a callHow we work: the revenue-first method
We design revenue-first, which means every model starts from one question before any token mechanic is drawn: how does this business actually make money? Revenue comes first and the token attaches to it.
Most failed tokens were built the other way around, with a clever mechanic first and a frantic search afterward for a reason anyone should hold it.
Revenue comes first
A token without sustainable revenue mechanics is just a countdown timer. Emissions go out, nothing real comes in, and the only question is how many months the treasury lasts before the chart catches up to the fundamentals.
Market cap is the constraint
Features, yields, and incentive structures do not matter if the token cannot hold value. Market cap is the bottleneck, and everything else follows from protecting and growing it.
Distribution determines destiny
Poor allocations and rushed vesting will kill the best mechanism design that ever shipped. Supply-side decisions are existential, not cosmetic.
Sustainable beats clever
Better to design something boring that works for five years than something brilliant that implodes in six months.
There is a corollary most of this market skips: marketing is liquidity. The model gets designed, the founder gets handed to an agency that never saw the design, and the launch arrives with no distribution behind it.
For a token launch, the distribution engine, the listing strategy, the market depth and the narrative are part of the mechanism that turns a designed token into a traded one. A model nobody trades is a paper exercise, so we treat distribution as part of the work.
The Engagement: How a Data Room Comes Together
The work runs in four phases over 4 to 6 weeks. The output of each phase is a real artifact, not a status update.
- 01
Discovery and research
We open with a Project Charter that names every assumption and exclusion explicitly, then pressure-test the brief against market reality. Market research runs in parallel. Output: a scoped model, not a vague roadmap.
- 02
Mechanism design
We map the revenue, run the token-necessity test, classify the token, benchmark every structural choice against precedent, and build the economic flywheel from faucets and sinks. Output: a technical spec that runs to a hundred-plus pages.
- 03
Supply side and modeling
Allocation, vesting, and cliff structures get designed and stress-tested, the full audit runs against them, and for Platinum and Diamond engagements the revenue model and Monte Carlo simulation get built. Output: audit-ready model with quantified risk.
- 04
Documentation and delivery
The whitepaper synthesizes everything, two rounds of revision tighten it, and the package ships with handoff guides so your developers, lawyers, and marketing team can each act on their part. Output: the complete Tokenomics Data Room.
Project charter Mechanism design document Tokenomics audit report Whitepaper
One package, every team
The Tokenomics Data Room is the vehicle for everything above: design, documentation and strategy delivered together, so every team gets what it needs from one engagement instead of waiting on separate providers to finish and align.
| Team | What they receive |
|---|---|
| Founders and CEOs | A complete tokenomics foundation and a clear path from design to launch |
| Investors | Third-party validated economics, clear risk documentation, and financial modeling |
| Legal and compliance | Token utility definitions and a classification brief for counsel to confirm |
| Developers | Technical specs, mechanism formulas, and process maps they can build from |
| Marketing | Whitepaper content, positioning, and a launch roadmap that makes sense |
| Finance and treasury | DEX budget requirements, supply schedules, and revenue projections |
This is the difference between piecemeal consulting and a real engagement: nobody on your team is left waiting on a deliverable that another team has not finished. See the full package and tier structure on the Data Room page.
Who this is for, and who it is not
Who it is for
Founders preparing for a fundraise
Who need investor-grade documentation, not a placeholder deck.
Teams planning a token launch in the next few months
Who want the economics locked before contracts are signed.
Builders with a real product and real users
Who need the token to amplify the business rather than distract from it.
Founders with a strong business but no crypto background
Who need a guide through the design, not just a document at the end.
Projects whose first draft of tokenomics came from a template
And now needs real design and real numbers behind it.
RWA, DePIN, and digital-asset founders
Building in the categories institutional capital is actually moving into.
Who we do not work with
Pure speculation plays with no product underneath them.
Teams looking for hype mechanics or a faster way to extract value from a community.
Projects that want cheap and fast over correct.
Anyone who thinks the token is the product.
We will not design extraction mechanics, will not rush the work because a launch date is convenient, and will not validate a model we believe will harm the community that buys into it. Sometimes we are not the right fit, and we will tell you that too.
Part of the Bigger Picture
Tokenomics consulting is not seven services you buy and assemble yourself. It is one engagement where the mechanism, the supply side, the launch plan, the audit, and the whitepaper are designed by the same team to fit from the start.
That is why we sell the complete Data Room rather than the pieces. See the full discipline set on our services hub, the vertical-specific work in RWA and DePIN, and the methodology applied to a live build in our real-world assets case study.
Explore the Disciplines
From the blog
Questions founders ask
Regulatory note: Token classification guidance on this page reflects architectural design considerations only and does not constitute legal advice. Final classification of any digital asset is determined with the client's legal counsel.
References
- Glasserman, P., Monte Carlo Methods in Financial Engineering. Springer, 2003.
- IOSCO, Consultation Report on Crypto-Asset Markets (2020).
- SEC v. W.J. Howey Co., 328 U.S. 293 (1946), US Supreme Court definition of an investment contract.
Written by Tony Drummond, Tokenomics Strategist. 100+ token projects advised. $100MM+ raised across client engagements.
Have the model checked before your investors do.
Book a discovery call. We’ll assess your project, your goals, and whether we’re the right fit. No pressure, no commitment.
Book a call100+ projects advised. $100M+ raised by clients. Four to six weeks from kickoff to a complete data room.
Not ready for a call? Email tony@tokenomics.net.
