Fire the CEO, on Sepolia
The example Robin Hanson has used to explain futarchy since 2000 is a board deciding whether to fire a chief executive, and in July 2026 Futarchy Labs shipped it as a public instance at ceo.futarchy.fi. It runs on Sepolia testnet with play money, and it is the only surface the company operates where a market decides rather than advises.
The contracts and dataset list 101 entries – the largest 100 US public companies plus one resolved test used to rehearse the on-chain lifecycle – and give each of them three markets: a pair of scalar markets on company value, one conditioned on the chief executive leaving by quarter end and one on them staying, plus a binary market on the departure itself. The conditioned pair is called off rather than settled: whichever market's condition fails is void and refunds every trader's paid-in cash, and sale proceeds are escrowed until resolution, so the contract can never owe more than it holds. Each market is a subsidised logarithmic market scoring rule maker, Hanson's own design, with the worst-case subsidy computed and funded on-chain when a company is listed.
The published number is the fire premium: the difference between the value the market expects with the chief executive gone and the value it expects with them in place, as a share of the current share price. A FIRE signal needs that premium to be positive across at least 90% of the half-hourly snapshots over the trailing week, and a company with fewer than twenty snapshots is reported as WATCH rather than given a verdict – the same reluctance to read a thin market that the operator defaults above build in.
The first cycle runs to a horizon of 30 September 2026 and settles on the closing price of 30 October 2026, a month after quarter end, because Hanson's rule is to measure value once the decision has had time to show. Resolution is an operator oracle with a 48-hour dispute window and a swappable address, which is the same oracle dependency the advisory product carries, held by the company rather than by a DAO.