MurmRay automatically identifies prediction market-related events on webpages while you browse, matches them with Polymarket markets, and generates Signals via AI.
MurmRay is a browser extension that automatically identifies prediction market-related events on webpages while users browse news and matches them with Polymarket markets to generate AI signals. The system automatically saves these signals to 0G Storage and registers the Signal Hash on the 0G Chain. Users can view the Storage URI, Tx Hash, contract address, and Explorer link on the 0G Proof page.
During the hackathon, we rebuilt MurmRay into a verifiable AI signal infrastructure powered by the 0G ecosystem.
We integrated 0G Storage as the persistent data layer for AI-generated prediction market signals. Every signal generated by MurmRay is automatically serialized, uploaded to decentralized storage, and assigned a unique Storage URI. The corresponding Signal Hash is then registered on the 0G Chain to provide immutable proof of generation and timestamp verification.
We also designed and implemented the 0G Proof page, where users can inspect the full lifecycle of each AI signal, including Storage URI, transaction hash, contract address, and explorer records. This creates a transparent and traceable pipeline for AI-generated market intelligence.
On the product side, we optimized the browser extension workflow so users can continue browsing news and social media normally while MurmRay automatically detects prediction market-related events, matches them against Polymarket markets, and generates contextual AI signals in real time.
In parallel, we refined the overall product narrative around verifiable AI and autonomous signal infrastructure, positioning 0G as the trust and persistence layer behind AI-native prediction market discovery.
No funding