Use cases
Markets that resolve from a named source.
The common thread across every Mentat market: an outcome that a canonical source can attest to, and a zkTLS proof that settles it without an arbiter. Here is where that fits best.
Crypto price markets
read →Will BTC close above $100k on May 1?
Crypto price bets are the highest-volume prediction category, but they hinge on a single question that most venues resolve by hand: which exchange price counts, at which timestamp, from which feed? A staff member picking a number is exactly the trust surface a decentralized market should not have.
Sports outcome markets
read →Who wins, by how much, resolved from the official scoreboard.
Sports markets are trivial to phrase and hard to settle honestly at scale: hundreds of fixtures a week, each needing a result pulled from an authoritative source and applied without operator bias. Delegating that to a bookmaker or a data reseller reintroduces the trusted third party.
Elections & real-world events
read →Outcomes anchored to an official record, not a jury.
Election and event markets are where centralized resolution breaks down most visibly — the 2024 cycle produced multi-day arguments over what an ambiguously worded market actually meant. The failure is upstream: the market was drafted loosely and resolved by discretion.
Protocol & KPI markets
read →Bet on on-chain and API-measurable metrics.
DAOs and protocols want markets on their own metrics — TVL crossing a threshold, a governance vote passing, a shipped release — but these are niche, long-tail questions no staff-listed venue will curate, and creator-resolved venues make them worthless for capital at risk.
Draft one of these in ~15 seconds.
Describe the market in one line; the Scout → Draft → Validator pipeline formalizes it.