Question: Is there a platform that provides a plug-and-play privacy layer for existing dApps on any EVM network, ensuring secure and private transactions?

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Oasis

If you're looking for a platform that offers a privacy layer that can be plugged in to existing dApps on any EVM network, Oasis could be the answer to your prayers. Oasis offers scalable and secure solutions for Web3 and AI applications with a focus on smart privacy. It has a Privacy Layer that lets developers add privacy to existing dApps, so transactions are secure and private. The platform also supports interoperability across different blockchain networks and offers a range of privacy options from fully private to fully public.

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Moralis

Another option is Moralis, which offers a suite of enterprise-grade Web3 APIs that give you immediate access to cross-chain blockchain data, real-time market data and node management. Although primarily geared toward building and scaling crypto and blockchain projects, Moralis' cross-chain support and high-accuracy blockchain data can help ensure secure and private transactions across multiple EVM chains.

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Toolblox

And if you like a no-code approach, Toolblox lets you build on-chain services without having to write a single line of code. It includes tools for smart contracts and DApps, visualizing asset lifecycles, and integrating with Bubble. That could be useful for rapid prototyping and building secure and private apps for a variety of use cases like supply chain and gaming.

Additional AI Projects

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CryptoDo

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Galxe

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dRPC

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Dynamic

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Web3 Antivirus

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Streamdal

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Nodle

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0x

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Arkham

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Transcend

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DataGrail

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MarsX

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Optable

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Noodl

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Ketch

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Dappier

Connect and control your content and data, converting it into AI models and monetizing it through licensing at a price you set.

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Zeroqode

Connect to various AI services and add app abilities with AI plugins, enabling rapid development of AI-infused web and mobile apps without coding.

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BlockSurvey

Automates survey creation and analysis with AI technology, cutting time and cost by up to 80%, while ensuring private and secure respondent data.