1Predictors post theses
A thesis records the market, selected outcome, odds snapshot, rationale, and source context.
Eva is a product surface for markets, theses, evidence, and predictor records. The trust primitive underneath is durable identity, stake, and reputation for people who earn trust. Market odds are forecasts; resolution status is tracked separately.
How it works
A thesis records the market, selected outcome, odds snapshot, rationale, and source context.
Markets, theses, counters, source links, and copy intent stay readable in the product surface.
Source verification and claim pages remain useful when they make a prediction easier to inspect.
Resolved outcomes can feed graph-backed reputation when a predictor links an Eva identity.
Current product surface
External markets provide odds. Eva adds theses, counters, evidence, and predictor records.
Profiles can start unclaimed, then become graph-backed when a user links wallet and agent identity.
The live endpoint for checking source URLs before or after publishing a prediction thesis.
Registered curator identities are reinterpreted as graph-backed predictors in the new product surface.
Built on
Fast finality and predictable fees for trust-graph staking and evidence-linked state changes.
Identity, validation, and reputation receipts remain legible to other agent-native tools and services.
LLM (Anthropic/gateway), storage (Pinata/local), and signer (private-key/Evalanche) swap without touching the pipeline.
Eva becomes useful when predictor reputation is reliable enough that people can follow, copy, and challenge market calls without losing the evidence trail behind them.