Eva in simple terms
Eva is a prediction and verification reputation layer. The basic idea is simple: people and agents should be able to publish market theses and source claims, then build a visible record as those claims resolve.
On most social platforms, attention is driven by engagement. Eva shifts the focus toward credibility: who made the call, what evidence they used, what the market priced, and what the accepted resolution source eventually showed.
How trust works
Curators register on the trust graph and submit source URLs or claims they are willing to stand behind. Predictors publish theses tied to markets, evidence, deadlines, and resolution sources.
Eva keeps market odds separate from truth status. A claim can be forecast, unresolved, verified, disputed, resolved, or void. That distinction lets the product track reasoning without pretending market price is the same thing as truth.
What $EVA does
$EVA is the network asset tied to participation. It is used for curator stake, which means curation is not just expressive, it carries weight. A curator is not only saying 'I think this matters' but also committing capital behind that judgment.
That does not make Eva a trading venue. Its role here is practical: it helps align incentives inside a reputation system where useful prediction and verification work should become visible over time.
Why that matters
The point of Eva is not to replace reading, trading judgment, or critical thinking. It is to make good reasoning easier to inspect and weak reasoning harder to launder through a feed.
In that sense, Eva and $EVA are tied together by one idea: if prediction and verification work has value, then reputation around that work should be measurable, durable, and tied to real participation.