A new way to resolve digital disputes
In Justly, every dispute follows a simple and predictable flow:- A dispute is created between a claimer and a defender.
- Both sides are fully funded before adjudication starts.
- Evidence is submitted during a bounded evidence window.
- Jurors review the record and vote through a commit-reveal flow.
- The ruling is finalized automatically and can be consumed by the integrating platform.
Real-time resolution, not endless processes
Justly is designed for a real-time-like resolution model:- disputes are intended to resolve quickly,
- deadlines keep progression bounded,
- evidence is frozen before voting starts,
- and finality does not depend on callback success.
Distributed jurors and aligned incentives
Decisions in Justly do not depend on a company, moderator, or centralized authority. Jurors:- are selected from the protocol’s juror pool,
- participate by staking stablecoins such as USDC,
- earn rewards for coherent participation,
- and are penalized for incoherence or non-participation.
Designed for real users
Justly is not built only for blockchain experts. The system prioritizes:- simple, understandable UX,
- fast onboarding with minimal crypto friction,
- clear interfaces for submitting evidence and understanding verdicts,
- and integration patterns that platforms can expose through APIs or SDKs.
A protocol, not a closed platform
Justly does not compete with existing platforms. It empowers them. It acts as a neutral dispute resolution layer that can:- be integrated via SDKs or APIs,
- resolve conflicts tied to online or on-chain value transfer,
- execute decisions programmatically,
- and maintain public traceability and transparency.
In summary
Justly is a lightweight digital justice system that resolves disputes in a way that is:- ⚡ Fast (typically hours, sometimes minutes)
- ⚖️ Impartial (distributed jurors)
- 🔍 Transparent (verifiable rules and execution)
- 🌍 Global (built for digital payments and stablecoins)
While Justly is primarily designed for real-time dispute resolution, its incentive and coordination model can be extended to other forms of subjective evaluation—such as contribution assessment and reward allocation in open-source and digital ecosystems.