The Verifiable Data Economy runs on proofs, and users are the engine.With ONProver, anyone can verify data and power a trustless internet from their device.
What Is ONProver and Why Does It Matter
ONProver is a lightweight, zero-knowledge proving client developed by Orochi. It enables anyone to participate in decentralized verification without running heavy infrastructure or relying on centralized systems.
By turning regular devices into proof engines, ONProver lowers the barrier to entry and distributes trust to the edge of the network. It is a foundation for trustless systems.
Achievement of ONProver
294K Provers: Scaling a Global Verifier Network
In just a few months, ONProver has grown into a decentralized network of nearly 300,000 participants. Each user contributes compute power to generate proofs that verify the integrity of data at the source.
This global participation shows that users are willing to support decentralized infrastructure when the incentives and UX are aligned.
480 Million Verified Proofs
Since launch, ONProver has generated over 480 million verified proofs. This volume confirms ONProver’s readiness to support high-throughput applications in DeFi, AI, RWA, and beyond.
Why User-Driven Compute Beats Centralized Validation and The Future of ONProver and Verifiable Data Economy
Unlike traditional validation models that rely on centralized nodes or trust-based oracles, ONProver is inherently trustless. It brings proof generation to the edge, where users already exist.
This architecture:
Reduces reliance on third parties.
Enables faster, localized computation.
Supports privacy by design.
As ONProver continues to scale, it becomes the proving layer for Orochi’s Verifiable Data Economy. It powers zkDatabase with verified data, aligns with enterprise needs for integrity, and rewards users directly.
In the future, any app that needs verified inputs can tap into ONProver. Any user can become a node in the proof economy. And verifiable data becomes the default.
The infrastructure is live. The users are active. The model is working.
