TokenLab is our open-source, agent-based simulation library for token economies — model incentives, holder behaviour and price dynamics, and find failure modes before launch, not after.
TokenLab lets you simulate how a token economy behaves over time — under different holders, incentives and market conditions — so design flaws surface in a model instead of on-chain.
Model distinct participant cohorts — long-term holders, speculators, liquidity providers — and watch how their behaviour drives supply and price over time.
Run emissions, vesting and incentive designs through adverse scenarios to find where the economy destabilises — the questions Terra/Luna answered too late.
Apache-2.0 licensed, built in Python, with modelling assumptions stated explicitly for reproducibility. Inspect it, extend it, run it yourself.
TokenLab and the audit approach around it are backed by peer-reviewed research in the Journal of The British Blockchain Association, going back to 2018.
Introduced TokenLab and showed how different speculator types drive token price dynamics. Read the paper →
A repeatable audit framework, applied to a DeFi project, Terra/Luna and Ethereum 2.0. Read the paper →
Principles for auditing a token economy, demonstrated on a real stablecoin engagement. Read the paper →
The founding case that token economies need formal economic design, not ad-hoc issuance. Read the paper →
Pressure-test your tokenomics before you commit to a supply schedule, an emissions curve or a launch you can't undo.
Independent due diligence on a project's economic design — modelled, not asserted — before you back it.
Model governance and incentive changes against holder behaviour before they go live on-chain.
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TokenLab is the same modelling engine we use in paid tokenomics reviews and audits. Run it yourself, or bring us in to design, stress-test and audit your token economy using the peer-reviewed method behind it.
Talk to us about a tokenomics reviewStart with the open-source library, or talk to us about a full tokenomics review.