Token Model Design
Utility mapping, supply mechanics, emission schedules, burn mechanisms.
Scope
Utility mapping, supply mechanics, emission schedules, burn mechanisms.
Investor, team, and ecosystem schedules built for long-term alignment.
DEX seeding, market maker coordination, protocol-owned liquidity.
Quantitative simulation of token flows, inflation pressure, demand drivers.
IDO/IEO planning, exchange listing strategy, community distribution.
DAO structures, voting mechanics, on-chain governance frameworks.
Four engagements
A tokenomics model that looks clean in a spreadsheet often breaks in production.
Most founders find out after launch, when fixing it is expensive and public.
Tokenomics Audit
Blockphrase conducts a tokenomics audit: an independent review of your token’s economic model, i.e. supply schedule, vesting, emissions, and incentive mechanics, designed to catch failure points before they surface in a live market. Our audits also include a MiCA classification check against the substance-over-form test, so regulatory risk is identified alongside economic risk.
Tokenomics Design & Modelling
Tokenomics design covers the full economic architecture of a token: utility, supply schedule, vesting, and incentive mechanisms. Blockphrase builds each of these as one integrated system rather than separate documents, and checks the resulting model against regulatory classification (MiCA, VARA, RBI/SEBI, MAS) requirements before the design is finalized, such that compliance isn’t a redesign step later.
Tokenomics Simulations
Tokenomics simulation uses stochastic and deterministic modelling to test how a token economy behaves under real market conditions, considering volatility, low liquidity, and coordinated sell pressure, rather than relying on a single base-case projection. Blockphrase runs Python-based simulations across multiple scenarios and delivers a report with specific, actionable parameter adjustments.
AI Model Token Economics
AI model token economics applies economic modelling to a different kind of token: the tokens your AI product consumes on every inference call. Blockphrase forecasts inference cost against usage growth, builds unit economics per user or feature, and identifies where model selection or prompt efficiency reduces spend: the same rigor we apply to on-chain tokenomics, applied to LLM cost management.
Insights
Tokenomics7 min read
Regulators across MiCA, VARA, and CBB are now mandating token economic models before any licence is granted. Here's a rigorous framework for designing tokenomics that hold up under scrutiny — and under market pressure.
Regulatory Compliance7 min read
Regulators under MiCA, VARA, and CBB now require documented token economic models for VA and VASP licences. Here is the 5-step framework that separates engineered token economics from speculative noise.
GTM3 min read
In the first two months of 2026 alone, over 540,000 new tokens were launched across Ethereum, Solana, and Base. However only 0.1% will survive.
Tokenomics6 min read
Mantra's $OM token did a 1:4 rebrand swap after a collapse driven by poor vesting schedules, rising emissions, and a buyback mechanism that couldn't save a structurally broken model. Here's what went wrong.
Common questions
Tokenomics is the economic design of a token: its utility, supply mechanics, emission schedule, vesting, incentives, liquidity and governance. Blockphrase designs these to hold under real market pressure a year after launch, not just on launch day.
Four: tokenomics audit, tokenomics design and modelling, tokenomics simulations (stress testing), and AI model token economics for LLM-based products.
Cascading unlocks trigger sell pressure, incentive loops reward the wrong behavior, or a supply schedule quietly classifies the token as a security. Most founders find out after launch, when fixing it is expensive and public.
We take on a limited number of engagements at a time to keep advisory quality high. A short scoping call tells us both, quickly, whether this is a fit.