In the data layer of blockchain, oracles play a crucial role — they are the eyes that perceive external information in the on-chain world. However, as real-world assets are brought on-chain and the DeFi ecosystem becomes more complex, the security vulnerabilities and latency issues exposed by traditional oracles are becoming increasingly difficult to ignore.



The emergence of APRO offers a new approach to this dilemma. Its innovations are mainly reflected in two aspects.

First is the breakthrough in technical architecture. APRO adopts a dual-layer network structure, which maintains decentralization while significantly enhancing data processing capabilities. More notably, it introduces AI algorithms — no longer relying on cumbersome median filtering of nodes, but using machine learning to identify and clean abnormal data in real-time, inherently defending against price manipulation and similar attacks.

Another clever design is the flexible combination of push and pull modes. Popular assets use active push to ensure data real-time updates, while less active trading pairs support on-demand pull, which not only avoids unnecessary on-chain congestion but also greatly reduces Gas consumption of DApps during low activity periods.

Second is the extension of application scope. APRO not only handles the pricing of crypto assets but also supports on-chain mapping of diverse assets such as stocks, real estate, and gaming data. It currently covers over 40 mainstream public chains, and this broad compatibility makes it a strong contender in the RWA track.
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NFTArchaeologistvip
· 5h ago
Double-layer network plus AI cleaning, this idea is truly brilliant. It's a world apart from those old-fashioned oracles.
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DisillusiionOraclevip
· 5h ago
AI algorithms for data cleaning are indeed impressive, but the hype about Gas consumption might be a bit exaggerated.
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SillyWhalevip
· 5h ago
Double-layer network with AI data cleaning? Sounds good, just not sure how it works in practice.
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MEVHunterZhangvip
· 5h ago
AI algorithms cleaning data are really impressive; finally, someone thought of using machine learning to combat manipulation. --- Double-layer network plus AI? I need to study this architecture; otherwise, how can I bottom fish? --- Covering forty public chains, RWA is truly imaginative, but landing it is the real key. --- Flexible combination of push and pull modes; in simple terms, it can save some Gas fees, I agree with that. --- The latency issue of oracles has always been a pain point; it depends on how far APRO can go. --- Real-time price defense against manipulation? Wow, if this can really be achieved, it would be satisfying. --- On-demand pulling of obscure trading pairs; I understand that DApps can't generate Gas fees anymore. --- A strong contender in the RWA track? Sounds great, but can the data stability and performance be guaranteed?
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NFTBlackHolevip
· 5h ago
Double-layer network combined with AI data cleaning, this idea really has some potential AI recognizing abnormal data to prevent price manipulation? Feels much more reliable than median-based solutions Coverage of 40 public chains, RWA is about to take off? Flexible combination of push and pull modes, can it really reduce gas... depends on the data Oracle security has always been a pain point, APRO is a bit different this time
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GasFeeLovervip
· 5h ago
AI algorithms cleaning abnormal data? Sounds good, but I'm worried that new attack vectors will be discovered again later.
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