Rise of AI-powered Oracles: How Decentralized AI can enhance blockchain smart contracts and Real-Time Data Feeds.
Sep 26, 2024
11 min Read

Introduction
Imagine a dApp where you can book your taxi directly IRL. That's what AI oracles are doing! They're like smart assistants that help blockchains understand things happening outside the digital world.
These AI helpers can make smart contracts do cool things. For example, they can help decide when to buy or sell cryptocurrency based on real-time market data. Or, they can help businesses track their products as they move around the world. By leveraging AI's analytical prowess and blockchain's security, AI-powered oracles are revolutionizing the way smart contracts interact with the real world with access to real-time data.
AI oracles are changing how we think about technology. They're opening up new possibilities and making things more efficient and reliable. In this exploration, we will delve into the world of AI-powered oracles, examining how they work, their benefits, and the potential impact they can have on various industries. We will discuss how AI can enhance the efficiency and accuracy of smart contracts, enabling them to make more informed decisions and execute complex tasks. Additionally, we will explore the role of AI oracles in providing reliable and timely real-time data feeds, which are crucial for a wide range of applications.
Need for Oracles
Back in the day, people believed oracles were like divine messengers, connecting us to the gods. They'd tell us about heroes and what the future holds. The idea of oracles has been reimagined in the world of blockchain and web3, giving new meaning to the mysterious and intriguing, Oracles.
Blockchains in themselves are like stranded islands, cut off from the world. They work efficiently within themselves, but can't access any information or data from outside the chain (web) or even from the other chains. This isolation limits the use cases that can be solved with blockchain technology.
On-chain data, while secure and immutable, is insufficient for building complex and useful applications. For instance, financial dApps require accurate and up-to-date price feeds to facilitate trading and lending activities. Banking dApps need access to real-time banking data to enable transactions and balance inquiries.
Similarly, dApps that rely on APIs to interact with external services, such as social media platforms or weather data, would be unable to function without off-chain data.
Real-time data: Fuel of smart contracts
Smart contracts are designed to automate agreements and execute tasks based on predefined conditions. However, for these contracts to be truly effective and relevant, they need access to external off-chain real-time data.
Real-time data as it sounds is like a live stream of information or data. Essentially, anything that changes rapidly and is important for decision-making can be considered real-time data. It can be anything stock prices, weather data, Sports scores, traffic situations to even the number of likes on your last Instagram post.
Why Real-Time Data Matters?
Accurate Decision-Making: Smart contracts often make critical decisions based on the latest information. Real-time data ensures that these decisions are informed and accurate, preventing costly mistakes.
Dynamic Responses: In a rapidly changing environment, smart contracts need to be able to adapt and respond quickly. Real-time data allows them to adjust their behaviour in real-time, ensuring they remain relevant and effective.
Enhanced User Experience: For dApps (decentralized applications) built on smart contracts, real-time data can significantly improve the user experience. For example, a financial dApp that provides real-time market data can offer users more informed trading decisions.
Real-time data is the lifeblood of smart contracts, enabling them to create any responsive, and valuable application on-chain.
Let's understand it by an example -
Imagine a lending platform built on a blockchain allowing users to lend and borrow crypto.
🔸Without real-time data: The platform would have to rely on outdated or inaccurate information about interest rates, loan balances, and borrower creditworthiness. This could lead to risky lending decisions, defaults, and instability.
🔸With real-time data: The platform can access real-time market data, borrower credit scores, and loan performance metrics enabling:
- Adjust interest rates dynamically based on market conditions.
- Assess borrower risk accurately.
- Automatically liquidate loans that are at risk of default.
- Provide users with up-to-date information about their loans and the overall health of the platform.
What are Oracles?
Oracles are like bridges that connect smart contracts to the real world, allowing interactions beyond the blockchain. They provide external data to the smart contract like price feeds, banking data, and Web APIs. Not just off-chain data, they also fetch data from other chains for the smart contract.

In other words, Oracles are the gateway for blockchain to the real world.
How do they work?
Data Fetching: Oracles collect data from various external data sources, such as APIs, databases, or physical sensors depending upon the type of data needed.
Verification: The retrieved data is verified and authenticated to ensure its accuracy and reliability.
On-Chain Delivery: The verified data is securely transmitted to the blockchain network and made available to smart contracts.
Smart Contract Interaction: Smart contracts can then access and utilize the provided data to execute predefined actions or make decisions.
Oracles boost blockchain scalability
Oracles play a crucial role in the scalability of on-chain dApps and smart contracts -
🔸Offloading Complex Calculations: Oracles can handle computationally intensive tasks outside of the blockchain, reducing the load on the network and improving transaction speeds.
🔸Expanding Data Access: By providing access to real-world data, oracles enable smart contracts to perform more complex functions, such as financial derivatives or supply chain management unlocking a range of use cases possible on-chain.
🔸Interoperability: Oracles can bridge the gap between different blockchains, allowing them to communicate and exchange data creating an interconnected ecosystem.
🔸RWA: Oracles supports the tokenization of real-world assets by providing access to external data on real estate prices, legal documents and other information.
Usually, Oracles are used by DEXs for price feeds, but they unlock a huge array of exciting applications that can be built with smart contracts on-chain including gaming, RWA, DePin, Insurance, Supply chain and Defi.
PS: To clarify, Oracles are not sources of data, they give access for off-chain data to smart contracts through their nodes.
The Oracle problem
The biggest risk with Oracles lies in centralization fears. Centralized oracles providing external data to smart contracts can risk data privacy and decentralization, the very core belief of the blockchain space.
Any Blockchain operates on thousands of nodes which ensures that even if many or almost all the nodes fail, the Blockchain will remain secure. However, a centralized oracle is a single node feeding Blockchain information from various off-chain data sources. And if that node is to fail, all the smart contracts using the oracle will come to a halt!
Limitations with Centralized Oracles -
🔸 Trust and Reliability: If a single Oracle is compromised or provides incorrect data it can affect the Smart Contract and dApps built on it.
🔸Centralization: Relying on a single or even a few Oracles can cause centralisation.
🔸Data Integrity: Ensuring that data provided by Oracles is correct and tamper-proof is challenging.
Relying on a single data source for oracles can compromise both security and decentralization. A centralized oracle is vulnerable to attacks and downtime, while also undermining the core principles of blockchain.
Decentralized AI-powered oracles
Decentralized AI-powered oracles use AI to ensure the correct real-time data reaches the smart contract within minimal time. These oracles use artificial intelligence to evaluate, verify, and deliver real-world data to smart contracts on the blockchain.
There is no single node, no single point of failure and no central authority making them truly Decentralized. Through mutual verification, a network of AI oracles creates a robust system, delivering a steady supply of accurate off-chain real-time data to the blockchain.
How does it work?
AI oracles leverage a diverse range of data sources, from APIs and sensors to web scraping and even other blockchains. By aggregating data from multiple sources and verifying its authenticity, these oracles ensure that smart contracts and decentralized applications (dApps) receive only tamper-proof and reliable information.
Beyond simply transmitting raw data, AI oracles can perform complex computations off-chain, enhancing the scalability of blockchains. This enables them to process and analyze data before delivering results to smart contracts, reducing the computational burden on the blockchain network.
The AI model is trained exclusively on specific LLM parameters to collect, verify and deliver data to smart contracts for seamless working of applications.
Benefits of AI-powered Oracles
🔸Reliability: By automated monitoring and verifying of data, decentralized AI oracles ensure that smart contracts have access to up-to-date and accurate information.
🔸Data accuracy: AI algorithms are used to verify the accuracy and reliability of data, reducing the risk of errors or inconsistencies. It provides redundancy, ensuring that data is available even if some nodes fail.
🔸Scalability: AI oracles perform off-chain computation like data analysis before transmitting data to the smart contract, reducing the burden on the chain, and enhancing scalability.
🔸Versatile data: From APIs to price feeds, the AI oracles can get data from various sources.
Chainlink Oracle network
Chainlink, the most prominent Oracle system is working on a network of Decentralized Oracle which would aggregate the result of multiple AI models. This would involve connecting multiple AI models aggregating their responses with a Decentralized Oracle network and reaching a consensus to get the most reliable response.
In this case, the response and data would be recorded from multiple AI models further reducing the chances of getting redundant data and enhancing reliability for smart contracts.
Oraichain: AI x Blockchain
Oraichain is the first AI-powered Oracle Layer 1. Serving as a foundational layer for the development of a new generation of smart contracts and dApps with real-time data. It offers an AI marketplace where developers can access and utilize a wide range of AI models and APIs.
It supports interoperability by enabling communication and data exchange between different blockchains. Oraichain's ability to connect real-world data to blockchain networks opens up new possibilities for dApps.
Compare centralized and decentralized AI oracles.

AI oracles + smart contracts = Huge Potential
AI oracles and smart contracts form a powerful combination that unlocks immense potential across various industries.
Here's a breakdown of their synergistic benefits:
🔸Real-world data integration: AI oracles bridge the gap between the real world and the blockchain by providing real-time data to smart contracts. This enables the creation of applications that respond to external events and conditions.
🔸Enhanced automation: Smart contracts can be triggered automatically based on data provided by AI oracles, leading to more efficient and autonomous processes.
🔸Complex decision-making: AI oracles can process and analyze complex data, empowering smart contracts to make informed decisions in dynamic environments.
🔸Increased transparency and trust: By leveraging AI oracles, smart contracts can provide verifiable and transparent data, fostering trust among participants.
🔸New business models: AI oracles and smart contracts enable the development of innovative business models, such as decentralized finance (DeFi) applications, supply chain management solutions, and IoT-based services.
AI oracles and smart contracts together can create a world where decentralized apps work perfectly with the real world. This could change how we do things in many industries and open up lots of new possibilities.
Use cases of real-time data from AI oracles
AI oracles aren't just ideas; they're real tools being used in many areas. In things like finance, insurance, and shipping, they help by giving smart contracts the right information at the right time.
In DeFi, AI oracles play a crucial role in providing price feeds for cryptocurrencies, enabling decentralized exchanges and lending platforms to operate efficiently. By delivering reliable and up-to-date price information, these oracles ensure that financial transactions are executed fairly and transparently.
In supply chain management, AI oracles can enhance visibility and transparency by providing real-time data on the location, condition, and movement of goods. This information can be used to optimize logistics, reduce costs, and ensure that products are delivered on time. Additionally, AI oracles can help prevent fraud and counterfeiting by verifying the authenticity of products and their components.
The insurance industry can also benefit significantly from AI oracles. By providing real-time data on factors such as weather conditions, traffic patterns, or health metrics, oracles can help insurers accurately assess risk and automate claims processing. This can lead to more efficient operations and improved customer satisfaction.
AI oracles: Security and Privacy
AI oracles offer significant security and privacy benefits as they use AI to evaluate, verify, and deliver real-world data to smart contracts on the blockchain.
🔸Reduced Single Point of Failure: The decentralized nature of AI oracles reduces the risk of a single point of failure, making the system more resilient to attacks.
🔸Consensus Mechanisms: AI oracle networks use consensus mechanisms to ensure that only valid data is accepted, reducing the risk of manipulation.
🔸Multiple Data Sources: Oracles often aggregate data from multiple sources, making it more difficult for malicious actors to manipulate the data.
🔸Traceability: The decentralized nature of AI oracles allows for tracing the origin and journey of data, increasing transparency and accountability.
Conclusion
AI-powered oracles are revolutionizing the way smart contracts interact with the real world. The advent of decentralized AI oracles in the Web3 space paves the way for new opportunities, fresh perspectives, and ground-breaking ideas. Imagine booking a taxi directly through a dApp, or getting real-time weather data for insurance purposes - all thanks to AI oracles acting as bridges between blockchains and the external world.
AI oracles, a mix of AI and blockchain, are changing the game for Web3. These digital bridges connect the real world to blockchains and provide better security and scalability, opening up a world of possibilities. It's an exciting time for anyone interested in tech to try building interesting stuff on-chain. As this technology continues to evolve, it's an exhilarating time for those invested in both AI and blockchain.
About Cluster Protocol
Cluster Protocol is a decentralized infrastructure for AI that enables anyone to build, train, deploy and monetize AI models within few clicks. Our mission is to democratize AI by making it accessible, affordable, and user-friendly for developers, businesses, and individuals alike. We are dedicated to enhancing AI model training and execution across distributed networks. It employs advanced techniques such as fully homomorphic encryption and federated learning to safeguard data privacy and promote secure data localization.
Cluster Protocol also supports decentralized datasets and collaborative model training environments, which reduce the barriers to AI development and democratize access to computational resources. We believe in the power of templatization to streamline AI development.
Cluster Protocol offers a wide range of pre-built AI templates, allowing users to quickly create and customize AI solutions for their specific needs. Our intuitive infrastructure empowers users to create AI-powered applications without requiring deep technical expertise.
Cluster Protocol provides the necessary infrastructure for creating intelligent agentic workflows that can autonomously perform actions based on predefined rules and real-time data. Additionally, individuals can leverage our platform to automate their daily tasks, saving time and effort.
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