Apro Oracle has recently become popular, with Binance founder CZ tweeting that the Oracle Machine for prediction markets is expected to emerge. This project is positioned as an AI-enhanced Oracle Machine 3.0, covering over 40 public chains, with a total guaranteed value reaching 1.5 billion USD. Apro Oracle breaks traditional limitations, using non-structured assets such as prediction market events, and launches the ATTPS protocol to establish a secure standard for data communication between AI Agents.
CZ Calls Out: Prediction Market Ignites New Demand for Oracle Machine
Binance founder CZ recently tweeted that there is an opportunity for an Oracle Machine in the prediction market, which sparked widespread discussion in the crypto community. In the comments section, a large number of users recommended Apro Oracle, and even Binance co-founder He Yi participated in the Apro Oracle Chinese naming campaign. This endorsement from top KOLs has brought unprecedented exposure to Apro Oracle.
Why do prediction markets need specialized Oracle Machines? Traditional Oracle Machines like Chainlink mainly serve price feeds, transmitting off-chain financial data (such as BTC/USD prices) to on-chain smart contracts. However, prediction markets need to verify event outcomes, such as “Will a certain election candidate win?”, “Will a certain company complete its IPO?”, or “What will be the score of a certain sports event?” These unstructured information cannot be obtained from a single API and require multi-source verification and semantic understanding capabilities.
Apro Oracle was created to address this pain point. The project utilizes the semantic understanding capabilities of AI large models to gather information from multiple sources such as news reports, official announcements, and social media, and generate reliable results after cross-verification. This AI-enhanced Oracle Machine architecture enables it to serve emerging scenarios such as RWA (real-world assets), prediction markets, and AI Agents.
From a market scale perspective, platforms like Polymarket and other prediction market platforms are projected to exceed billions of dollars in trading volume during the 2024 U.S. election, showcasing the explosive potential of this sector. As more prediction market platforms emerge, the demand for reliable, decentralized event outcome verification will grow exponentially. Apro Oracle seizes this opportunity of the era, becoming a key component of prediction market infrastructure.
Oracle Machine Three Eras: From Chainlink to Apro Oracle 3.0
To understand the innovation of Apro Oracle, one must first understand the development history of Oracle Machines. Oracle Machines are the information bridge in the blockchain world, responsible for securely and reliably transmitting off-chain data to on-chain smart contracts. Without Oracle Machines, DeFi protocols cannot access price information, lending protocols cannot execute liquidation, and derivative contracts cannot settle.
The Three Stages of Oracle Machine Development
Chainlink 1.0 Era: A decentralized node network that primarily serves price feeds and simple data requests. Its advantages are high security and strong decentralization, but it has slower response times, higher costs, and mainly services structured data.
Pyth 2.0 Era: Introduces high-frequency exchanges and market makers as data sources, achieving millisecond-level updates and significantly reducing latency. Suitable for high-frequency trading and derivative protocols, but still limited to price-type structured data.
Apro Oracle 3.0 Era: AI-enhanced Oracle Machine, utilizing large models to process unstructured data, supporting new scenarios such as RWA, coin stocks, prediction markets, and AI Agents. This is a qualitative change for the Oracle Machine from being a “data mover” to an “intelligent validator.”
The core innovation of Apro Oracle lies in integrating AI large models into the Oracle Machine architecture. When a smart contract requests “Has a certain real estate transaction been completed?”, Apro Oracle's AI nodes gather information from multiple sources such as government registration websites, news reports, and blockchain records, using natural language processing techniques to extract key information, and generate results after cross-verification. This capability allows it to serve long-tail markets that traditional Oracle Machines cannot reach.
From a market strategy perspective, Apro Oracle leverages the Bitcoin ecosystem as a pivot, quickly covering over 40 public chains, with a TVS reaching 1.5 billion USD. This multi-chain strategy ensures that it can capture the growth dividends of various ecosystems, rather than tying its fate to a single public chain. In contrast, many Oracle Machine projects are overly reliant on Ethereum, missing out on the explosive opportunities of emerging ecosystems like Solana, BNB Chain, and Base.
ATTPS protocol: Data Communication Standard in the Era of AI Agents
Apro Oracle not only serves traditional DeFi protocols but also proactively lays out the AI Agent track. With the explosion of AI Agents in the crypto space, a new challenge arises: how can AI Agents securely and reliably exchange data? The ATTPS protocol (AI Trustworthy Transport Protocol Standard) launched by Apro Oracle is specifically designed to address this issue.
The ATTPS protocol establishes a secure standard for data communication between AI Agents, ensuring that data sources are verifiable, the transmission process is tamper-proof, and results are traceable. This protocol has been integrated with mainstream AI frameworks such as DeepSeek, allowing developers to easily incorporate the validation capabilities of Apro Oracle into their own AI Agents. For example, a trading AI Agent that needs to verify the authenticity of a news article can utilize the multi-source verification service of Apro Oracle through the ATTPS protocol.
This forward-looking layout makes Apro Oracle not only the infrastructure of current DeFi but also a key component of the future AI Agent economy. As AI Agents become the main participants in on-chain activities, the demand for reliable data sources will grow exponentially. Apro Oracle has seized the first-mover advantage in this track by laying out in advance.
Deepening the BNB Ecosystem: Greenfield Storage and 40+ Project Services
The deep integration of Apro Oracle and the BNB ecosystem is an important factor in its success. The project serves over 40 BNB Chain projects and uses BNB Greenfield to store nearly 20GB of data. BNB Greenfield is a decentralized storage solution launched by Binance, natively integrated with BNB Chain, providing high-performance and low-cost data storage services.
Why choose the BNB ecosystem? First, the BNB Chain has a large user base and an active DeFi ecosystem, providing a broad market space for Oracle Machines. Second, the support from Binance (including the participation of Big Brother in the naming campaign) brings significant brand effects and resource integration opportunities to the project. Third, the technical advantages of BNB Greenfield enable Apro Oracle to store a large amount of verification data at a very low cost, which is crucial for Oracles that need to retain historical records.
20GB of data storage may not seem like much, but it is a significant amount for on-chain applications. This data includes historical price feeds, event verification records, AI model inference logs, etc., providing the foundation for the project's transparency and auditability. Users can query the historical decisions of Apro Oracle at any time to verify their accuracy and reliability.
The Apro Oracle team has a lean team of 20 people and is currently recruiting for BD positions in North America and Hong Kong. This international layout shows that the project is not only focused on technical development but also places great importance on market expansion and ecosystem collaboration. In the winner-takes-all race of the Oracle Machine, quickly establishing a network of partners and market share is crucial.
The Moat of the Oracle Machine: Not Competition but Win-Win Monopoly
The Oracle Machine track has an interesting feature: it is not zero-sum competition, but a win-win monopoly. Why? Because the value of the Oracle Machine comes from network effects and trust accumulation. A widely adopted Oracle Machine has its data reliability improved due to the participation of more nodes, which in turn attracts more protocol adoption, creating a positive feedback loop.
The moat of Apro Oracle lies in its AI-enhanced capabilities and multi-chain coverage. Traditional Oracle Machines struggle to quickly adapt to new scenarios, while Apro Oracle can rapidly support new types of data requests through the flexibility of its AI models. This agility is highly valuable in the rapidly evolving crypto market.
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Apro Oracle is trending! CZ names the prediction market Oracle Machine, with a total guaranteed value of 1.5 billion.
Apro Oracle has recently become popular, with Binance founder CZ tweeting that the Oracle Machine for prediction markets is expected to emerge. This project is positioned as an AI-enhanced Oracle Machine 3.0, covering over 40 public chains, with a total guaranteed value reaching 1.5 billion USD. Apro Oracle breaks traditional limitations, using non-structured assets such as prediction market events, and launches the ATTPS protocol to establish a secure standard for data communication between AI Agents.
CZ Calls Out: Prediction Market Ignites New Demand for Oracle Machine
Binance founder CZ recently tweeted that there is an opportunity for an Oracle Machine in the prediction market, which sparked widespread discussion in the crypto community. In the comments section, a large number of users recommended Apro Oracle, and even Binance co-founder He Yi participated in the Apro Oracle Chinese naming campaign. This endorsement from top KOLs has brought unprecedented exposure to Apro Oracle.
Why do prediction markets need specialized Oracle Machines? Traditional Oracle Machines like Chainlink mainly serve price feeds, transmitting off-chain financial data (such as BTC/USD prices) to on-chain smart contracts. However, prediction markets need to verify event outcomes, such as “Will a certain election candidate win?”, “Will a certain company complete its IPO?”, or “What will be the score of a certain sports event?” These unstructured information cannot be obtained from a single API and require multi-source verification and semantic understanding capabilities.
Apro Oracle was created to address this pain point. The project utilizes the semantic understanding capabilities of AI large models to gather information from multiple sources such as news reports, official announcements, and social media, and generate reliable results after cross-verification. This AI-enhanced Oracle Machine architecture enables it to serve emerging scenarios such as RWA (real-world assets), prediction markets, and AI Agents.
From a market scale perspective, platforms like Polymarket and other prediction market platforms are projected to exceed billions of dollars in trading volume during the 2024 U.S. election, showcasing the explosive potential of this sector. As more prediction market platforms emerge, the demand for reliable, decentralized event outcome verification will grow exponentially. Apro Oracle seizes this opportunity of the era, becoming a key component of prediction market infrastructure.
Oracle Machine Three Eras: From Chainlink to Apro Oracle 3.0
To understand the innovation of Apro Oracle, one must first understand the development history of Oracle Machines. Oracle Machines are the information bridge in the blockchain world, responsible for securely and reliably transmitting off-chain data to on-chain smart contracts. Without Oracle Machines, DeFi protocols cannot access price information, lending protocols cannot execute liquidation, and derivative contracts cannot settle.
The Three Stages of Oracle Machine Development
Chainlink 1.0 Era: A decentralized node network that primarily serves price feeds and simple data requests. Its advantages are high security and strong decentralization, but it has slower response times, higher costs, and mainly services structured data.
Pyth 2.0 Era: Introduces high-frequency exchanges and market makers as data sources, achieving millisecond-level updates and significantly reducing latency. Suitable for high-frequency trading and derivative protocols, but still limited to price-type structured data.
Apro Oracle 3.0 Era: AI-enhanced Oracle Machine, utilizing large models to process unstructured data, supporting new scenarios such as RWA, coin stocks, prediction markets, and AI Agents. This is a qualitative change for the Oracle Machine from being a “data mover” to an “intelligent validator.”
The core innovation of Apro Oracle lies in integrating AI large models into the Oracle Machine architecture. When a smart contract requests “Has a certain real estate transaction been completed?”, Apro Oracle's AI nodes gather information from multiple sources such as government registration websites, news reports, and blockchain records, using natural language processing techniques to extract key information, and generate results after cross-verification. This capability allows it to serve long-tail markets that traditional Oracle Machines cannot reach.
From a market strategy perspective, Apro Oracle leverages the Bitcoin ecosystem as a pivot, quickly covering over 40 public chains, with a TVS reaching 1.5 billion USD. This multi-chain strategy ensures that it can capture the growth dividends of various ecosystems, rather than tying its fate to a single public chain. In contrast, many Oracle Machine projects are overly reliant on Ethereum, missing out on the explosive opportunities of emerging ecosystems like Solana, BNB Chain, and Base.
ATTPS protocol: Data Communication Standard in the Era of AI Agents
Apro Oracle not only serves traditional DeFi protocols but also proactively lays out the AI Agent track. With the explosion of AI Agents in the crypto space, a new challenge arises: how can AI Agents securely and reliably exchange data? The ATTPS protocol (AI Trustworthy Transport Protocol Standard) launched by Apro Oracle is specifically designed to address this issue.
The ATTPS protocol establishes a secure standard for data communication between AI Agents, ensuring that data sources are verifiable, the transmission process is tamper-proof, and results are traceable. This protocol has been integrated with mainstream AI frameworks such as DeepSeek, allowing developers to easily incorporate the validation capabilities of Apro Oracle into their own AI Agents. For example, a trading AI Agent that needs to verify the authenticity of a news article can utilize the multi-source verification service of Apro Oracle through the ATTPS protocol.
This forward-looking layout makes Apro Oracle not only the infrastructure of current DeFi but also a key component of the future AI Agent economy. As AI Agents become the main participants in on-chain activities, the demand for reliable data sources will grow exponentially. Apro Oracle has seized the first-mover advantage in this track by laying out in advance.
Deepening the BNB Ecosystem: Greenfield Storage and 40+ Project Services
The deep integration of Apro Oracle and the BNB ecosystem is an important factor in its success. The project serves over 40 BNB Chain projects and uses BNB Greenfield to store nearly 20GB of data. BNB Greenfield is a decentralized storage solution launched by Binance, natively integrated with BNB Chain, providing high-performance and low-cost data storage services.
Why choose the BNB ecosystem? First, the BNB Chain has a large user base and an active DeFi ecosystem, providing a broad market space for Oracle Machines. Second, the support from Binance (including the participation of Big Brother in the naming campaign) brings significant brand effects and resource integration opportunities to the project. Third, the technical advantages of BNB Greenfield enable Apro Oracle to store a large amount of verification data at a very low cost, which is crucial for Oracles that need to retain historical records.
20GB of data storage may not seem like much, but it is a significant amount for on-chain applications. This data includes historical price feeds, event verification records, AI model inference logs, etc., providing the foundation for the project's transparency and auditability. Users can query the historical decisions of Apro Oracle at any time to verify their accuracy and reliability.
The Apro Oracle team has a lean team of 20 people and is currently recruiting for BD positions in North America and Hong Kong. This international layout shows that the project is not only focused on technical development but also places great importance on market expansion and ecosystem collaboration. In the winner-takes-all race of the Oracle Machine, quickly establishing a network of partners and market share is crucial.
The Moat of the Oracle Machine: Not Competition but Win-Win Monopoly
The Oracle Machine track has an interesting feature: it is not zero-sum competition, but a win-win monopoly. Why? Because the value of the Oracle Machine comes from network effects and trust accumulation. A widely adopted Oracle Machine has its data reliability improved due to the participation of more nodes, which in turn attracts more protocol adoption, creating a positive feedback loop.
The moat of Apro Oracle lies in its AI-enhanced capabilities and multi-chain coverage. Traditional Oracle Machines struggle to quickly adapt to new scenarios, while Apro Oracle can rapidly support new types of data requests through the flexibility of its AI models. This agility is highly valuable in the rapidly evolving crypto market.