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Oracle

Oracles are essential infrastructure components that feed real-time, off-chain data (such as price feeds, weather, or sports results) into blockchain smart contracts. Without decentralized oracles like Chainlink and Pyth, DeFi could not function. In 2026, oracles have evolved to support verifiable randomness and cross-chain data synchronization. This tag covers the technical evolution of data availability, tamper-proof price feeds, and the critical role oracles play in ensuring the deterministic execution of complex decentralized applications.

5209 Articles
Created: 2026/02/02 18:52
Updated: 2026/02/02 18:52
Polkadot Price Prediction: DOT Holds $3.20 — CTK vs DOT & Why ConstructKoin (CTK) Is a Top Crypto Presale 2025 Pick

Polkadot Price Prediction: DOT Holds $3.20 — CTK vs DOT & Why ConstructKoin (CTK) Is a Top Crypto Presale 2025 Pick

Polkadot (DOT) is trading around $3.20, showing steady interest from developers and capital rotating into interoperability plays. With DOT’s market structure stabilizing and parachain activity picking up, traders are increasingly asking whether established infrastructure tokens or early-stage presales offer the best asymmetric upside.

Author: Cryptodaily

2025/10/29

Microsoft (MSFT) Stock: Crosses $4 Trillion Mark on OpenAI Partnership News

Microsoft (MSFT) Stock: Crosses $4 Trillion Mark on OpenAI Partnership News

TLDR Microsoft stock rose 2% to $542.07, pushing market cap to $4.04 trillion on Tuesday Company acquired 27% stake in restructured OpenAI valued at $135 billion Exclusive API and intellectual property rights secured through 2032 Analysts set average price target at $631.12, showing 16% upside potential OpenAI committed to $250 billion in Azure cloud services [...] The post Microsoft (MSFT) Stock: Crosses $4 Trillion Mark on OpenAI Partnership News appeared first on Blockonomi.

Author: Blockonomi

2025/10/29

OpenAI Reveals $1.4 Trillion AI Infrastructure Plan Amid Push Toward AGI

OpenAI Reveals $1.4 Trillion AI Infrastructure Plan Amid Push Toward AGI

TLDRs; OpenAI unveils plans to invest $1.4 trillion in AI infrastructure, targeting 30 gigawatts of compute power. CEO Sam Altman says OpenAI aims to build an automated AI researcher by 2028, reaching intern-level by 2026. The firm transitions to a public benefit corporation, aligning profit goals with long-term AI safety and research. Only 15% of [...] The post OpenAI Reveals $1.4 Trillion AI Infrastructure Plan Amid Push Toward AGI appeared first on CoinCentral.

Author: Coincentral

2025/10/29

Bloom Energy (BE) Stock Jumps 18% on Q3 Earnings Beat and AI Power Growth

Bloom Energy (BE) Stock Jumps 18% on Q3 Earnings Beat and AI Power Growth

TLDR Bloom Energy reported Q3 earnings of $0.15 per share, beating analyst estimates of $0.10 per share Revenue reached $519 million, surpassing the $428.1 million consensus forecast Installation revenue doubled year-over-year as AI data centers drive fuel cell demand Gross margin expanded to 29.2% from 23.8% in the prior year period Brookfield Asset Management’s $5 [...] The post Bloom Energy (BE) Stock Jumps 18% on Q3 Earnings Beat and AI Power Growth appeared first on Blockonomi.

Author: Blockonomi

2025/10/29

5 ERC 20 Cryptos to Add to Your Ethereum (ETH) Portfolio for the Highest ROI Possible By 2026

5 ERC 20 Cryptos to Add to Your Ethereum (ETH) Portfolio for the Highest ROI Possible By 2026

Ethereum is still the center of decentralized finance and new tokens. But there are also a number of ERC 20 projects that are quietly gaining traction and could offer amazing returns before this market cycle peaks.

Author: Cryptodaily

2025/10/29

Bitcoin vs Solana Price Update: BTC $115,476 / SOL $202 — Why the BTC+SOL + CTK Presale Combo Could Win Institutional Interest

Bitcoin vs Solana Price Update: BTC $115,476 / SOL $202 — Why the BTC+SOL + CTK Presale Combo Could Win Institutional Interest

Bitcoin is trading near $115,476 while Solana checks in around $202 — a pairing investors often use to balance macro liquidity (BTC) with execution capacity (SOL). As capital rotates out of large-cap gains, allocators look for pragmatic L1 + presale combinations that offer both reliable settlement rails and credible real-world utility. One combo gaining traction […]

Author: Cryptopolitan

2025/10/29

The dilemma of AI oracles: Why is cryptographic proof the key to the intelligent agent economy?

The dilemma of AI oracles: Why is cryptographic proof the key to the intelligent agent economy?

The dilemma of AI oracles: Why is cryptographic proof the key to the intelligent agent economy? The Double Boom of AI The current crypto space is being activated by two explosive narratives: the rise of the autonomous AI agent economy and the parallel boom of on-chain prediction markets. The wave, exemplified by the x402 protocol, is standardizing how intelligent agents "pay" for API calls. Meanwhile, platforms like Polymarket are demonstrating that "pricing collective intelligence" is a multi-billion dollar market. These two trends are converging on a single, crucial dependency: data . AI agents must consume external data to inform their decisions; and a prediction market without reliable oracles to settle its outcomes is useless! The widespread adoption of x402 has turned this theoretical problem into an urgent reality: when an AI agent can autonomously pay to call any API, how can it trust the returned results? This has given rise to a huge, high-risk demand: the need for an oracle that can reliably input information from the external world (Web2) into the blockchain (Web3). The "Bug" of Traditional Oracles This is precisely the shortcoming of the mainstream oracle model, generally known as "reputation-based consensus". Traditional oracles (like Chainlink) are designed for simple, publicly available, and easily verifiable data. For example, to obtain the price of SUI/USD, a decentralized oracle network (DON) only needs 20 independent nodes to query 10 different exchanges and then report the median. If a node lies, it will be voted out. However, the model breaks down when the data becomes complex, private, and uncertain . Suppose an AI agent needs to execute high-value transactions based on a complex prompt sent to OpenAI: Privacy Bug: The agent cannot broadcast its proprietary Prompt, and more importantly, it cannot broadcast its API_KEY to 20 different nodes. Consensus Bug: Even if it were possible, 20 different nodes asking OpenAI the same complex question might result in 20 slightly different, non-deterministic answers. There is no "median" to vote on. This forces agents to do something that a trustless system should never do: trust a single, centralized oracle node . The entire security of a multi-million dollar protocol now hangs on the "hope" that this single node hasn't been hacked, isn't malicious, or hasn't returned a false result for the sake of convenience. A deeper question: Trust-based AI oracles You might think: Isn't the solution simply to let the AI Agent directly call the API? However, this idea is too simplistic. The smart contracts on Sui themselves cannot send HTTPS requests to OpenAI. It is a closed, deterministic system. It must rely on an off-chain participant to "transfer" data. The seemingly obvious solution is to create a dedicated "AI oracle" that simply calls the API and returns the result. However, this doesn't solve the core problem. The smart contract is still blindly trusting that node. It cannot verify: Did this node actually call api.openai.com? Or did it call a cheaper, but seemingly malicious, server? Did it tamper with the response to manipulate a prediction market? This is the real impasse: the AI agent economy cannot be built on "reputation," it must be built on "proof." Solution: DeAgentAI zkTLS AI Oracle This is precisely the challenge that DeAgentAI, as a leading AI Agent infrastructure, is committed to solving. Instead of building a "more trustworthy" oracle, we built an oracle that doesn't require trust at all . We achieve this by shifting the entire paradigm from reputational consensus to cryptographic consensus . The solution is a dedicated AI oracle built on zkTLS (Zero Knowledge Transport Layer Security) . The diagram below illustrates the complete interaction architecture between the AI Agent, the Sui smart contract, off-chain nodes, and the external AI API: How it works: "Cryptographic Notary" DeAgentAI's oracles should not be viewed as mere messengers, but rather as an internationally recognized "cryptographic notary." Its technical workflow is as follows: Off-Chain Proving: The DeAgentAI oracle node (an off-chain component) initiates a standard, encrypted TLS session with the target API (e.g., https://api.openai.com). Privacy-Preserving Execution: Nodes securely send a prompt using their private API key (Authorization: Bearer sk-...). The zkTLS authentication system records the entire encrypted session. Proof Generation: After the session ends, the node generates a ZK proof. This proof is like a "notary's seal." It cryptographically proves the following facts simultaneously: "I connected to a server that has an official certificate for api.openai.com." "I sent a data stream that included a public prompt." "I received a data stream containing a public response." "All of this was done while the Authorization header was demonstrably hidden (edited), and the header information remained private." On-Chain Verification: Subsequently, the node invokes the AIOracle smart contract on the chain, submitting only the response and proof. This is where the miracle happens, as DeAgentAI's Move-based architecture demonstrates: Code snippet // A simplified snippet from DeAgentAI's AIOracle contract public entry fun fulfill_request_with_proof( Oracle: &AIOracle, Request: &mut AIRequest, response: String, server_name: String, // eg, "api.openai.com" proof: vector, // The ZK-proof from the off-chain node ctx: &mut TxContext ) { // --- 1. VALIDATION --- assert!(!request.fulfilled, E_REQUEST_ALREADY_FULFILLED); // --- 2. VERIFICATION (The Core) --- // The contract calls the ZKVerifier module. // It doesn't trust the sender; it trusts the math. let is_valid = zk_verifier::verify_proof( &proof, &server_name, &request.prompt, &response ); // Abort the transaction if the proof is invalid. assert!(is_valid, E_INVALID_PROOF); // --- 3. STATE CHANGE (Only if proof is valid) --- request.response = response; request.fulfilled = true; event::emit(AIRequestFulfilled { request_id: object::id(request), }); } The fulfill_request_with_proof function is permissionless . The contract doesn't care who the caller is; its only concern is whether the proof is mathematically valid. The actual cryptographic task is handled by the zk_verifier module, which performs mathematical operations on-chain to check the "notary's seal". Code snippet // file: sources/zk_verifier.move // STUB: A real implementation is extremely complex. module my_verifier::zk_verifier { use std::string::String; // This function performs the complex, gas-intensive // cryptographic operations (eg, elliptic curve pairings) // to verify the proof against the public inputs. public fun verify_proof( proof: &vector, server_name: &String, prompt: &String, response: &String ): bool { // --- REAL ZK VERIFICATION LOGIC GOES HERE --- // In this example, it's stubbed to return true, // but in production, this is the "unforgeable seal." true } } This architecture separates the AIOracle business logic from the ZKVerifier cryptographic logic, resulting in a clear modular design that allows the underlying proof system to be upgraded in the future without halting the entire oracle network. Economic Impact: From "Data Costs" to "Trust Value" Existing oracle giants (such as Chainlink) have done an excellent job in the "public data" market, where their core business is providing price data like SUI/USD for DeFi. This is a market based on "redundancy" and "reputation consensus" (N nodes voting), and its economic model is based on paying for data . DeAgentAI is targeting a completely new blue ocean: the incremental market (private/AI oracles). This is a market where AI agents, quantitative funds, and institutions need to access private APIs, non-deterministic AI models, and confidential data . This market is currently almost non-existent , not because there is no demand, but because it is completely locked down by the "trust dilemma." DeAgentAI's zkTLS oracle is not intended to compete with traditional oracles in the "price data" red ocean market, but rather to unlock the trillion-dollar "autonomous intelligent agent economy" market that has been unable to start due to a lack of trust! Redefining Costs: "Gas Costs" vs. "Risk Costs" Our zkTLS oracle verifies ZK proofs on-chain, which currently consumes a considerable amount of gas. This may seem "high-cost," but it's actually a misinterpretation. We must distinguish between these two costs: Gas cost: The on-chain fee paid for a verifiable, secure API call. Risk cost: The potential loss of millions of dollars due to AI agents making incorrect decisions by trusting an opaque, centralized oracle node. For any high-value AI agent, paying a controllable "gas cost" in exchange for 100% "cryptographic certainty" is a far cheaper economic option than bearing unlimited "risk costs". We are not "saving costs," we are "eliminating risks" for our users. It is a kind of economic "insurance" that transforms unpredictable catastrophic losses into a predictable, high-level security expense. Why DeAgentAI: Why are we so important? We have solved the most challenging yet often overlooked problem in the AI Agent economy: trust . The x402 protocol resolves the friction of "payment," but it only completes half the problem. An AI agent paying for data without being able to verify its authenticity is unacceptable in any high-value scenario. DeAgentAI provides the missing half: a verifiable "trust layer." We were able to do this not only because we had the right technology, but also because we had proven its market viability. First: We serve an established infrastructure, not a laboratory. DeAgentAI is already the largest AI agent infrastructure across the Sui, BSC, and BTC ecosystems. Our zkTLS oracle is not a theoretical white paper; it is built for the real, massive needs of our ecosystem. 18.5 million+ users (USERS) Peak daily active users (DAU) exceeded 440,000 . 195 million+ on-chain transactions Our zkTLS oracle is designed for this proven high-concurrency environment, providing our vast ecosystem of users and agents with the essential trust services they desperately need. Second: From day one, we chose the right and unique architecture, and our market leadership stems from our strategic choices regarding our technology roadmap. Cryptographic Consensus vs. Reputation Consensus: We firmly believe that the "consensus" problem of AI agents cannot be solved through "social voting" (node reputation), but must be solved through "mathematics" (cryptographic proof). This is the fundamental difference between us and traditional oracle models. Native Privacy and Permissionless Operation: DeAgentAI's zkTLS implementation solves the API key privacy issue at the protocol level, a rigid requirement for any professional-grade AI agent. Meanwhile, the permissionless nature of fulfill_request_with_proof means we've created an open market where authentication is the only thing that matters, not the person. Modularity and Future Compatibility: As mentioned earlier, DeAgentAI engineers intentionally separated the AIOracle (business logic) from the ZKVerifier (cryptographic verifier). This is a crucial design choice. With the rapid development of ZK cryptography (such as STARKs and PLONKs), we can seamlessly upgrade the underlying ZKVerifier module to achieve lower gas costs and faster verification speeds without disrupting or migrating smart contracts across the entire ecosystem. We are built for the next decade of AI development. Conclusion: From "Trust Messenger" to "Verification Message" DeAgentAI's architecture represents a fundamental shift: from "trust messenger" to "verification information." This is a paradigm shift necessary for building a truly autonomous, trustworthy, and high-value AI agent economy. The x402 provides the payment track, while DeAgentAI provides the indispensable "security and trust" guardrails on this track. We are building the trustless "central nervous system" for this coming new economy. For developers looking to build the next generation of trustless AI agents, DeAgentAI provides the most solid foundation of trust. Official Link: Website: https://deagent.ai/ Twitter: https://x.com/DeAgentAI Discord: https://discord.com/invite/deagentaiofficial Telegram: https://t.me/deagentai CoinMarketCap: https://coinmarketcap.com/currencies/deagentai/ Dune Analytics: https://dune.com/blockwork/degent-ai-statistics

Author: PANews

2025/10/29

Brevis And GoPlus Forge A Trustless Future

Brevis And GoPlus Forge A Trustless Future

The post Brevis And GoPlus Forge A Trustless Future appeared on BitcoinEthereumNews.com. Unveiling The Revolutionary Web3 Security Oracle: Brevis And GoPlus Forge A Trustless Future Skip to content Home Crypto News Unveiling the Revolutionary Web3 Security Oracle: Brevis and GoPlus Forge a Trustless Future Source: https://bitcoinworld.co.in/brevis-goplus-web3-security-oracle/

Author: BitcoinEthereumNews

2025/10/29

Trump’s Victory and Ripple (XRP) Price Prediction: What’s Next for XRP vs. SEC, Rival Lyno (LYNO) Sets Out for a 8677% Rally

Trump’s Victory and Ripple (XRP) Price Prediction: What’s Next for XRP vs. SEC, Rival Lyno (LYNO) Sets Out for a 8677% Rally

The price projection of Ripple (XRP) along with the reelection of Trump in 2024 is leading the market to move in an exciting way. At the same time, the popular presale cryptocurrency, $LYNO, is on the rise, and rallies are expected to compete with mainstream tokens. XRP Braces for Lift-Off as SEC Decision and Market […] The post Trump’s Victory and Ripple (XRP) Price Prediction: What’s Next for XRP vs. SEC, Rival Lyno (LYNO) Sets Out for a 8677% Rally appeared first on Live Bitcoin News.

Author: LiveBitcoinNews

2025/10/29

Oracle Achieves First 1EdTech Certification for Student Information System

Oracle Achieves First 1EdTech Certification for Student Information System

The post Oracle Achieves First 1EdTech Certification for Student Information System appeared on BitcoinEthereumNews.com. Felix Pinkston Oct 28, 2025 20:19 Oracle’s PeopleSoft Campus Solutions becomes the first student information system certified under 1EdTech Edu-API standards, facilitating cost-effective and efficient data exchange for higher education institutions. Oracle has announced a significant milestone with its PeopleSoft Campus Solutions becoming the first student information system to receive certification under the 1EdTech Edu-API standards. This development promises to enhance the efficiency of data exchange across educational institutions, potentially reducing both implementation costs and risks associated with custom integrations, according to oracle.com. Enhancing Interoperability in Education 1EdTech, a global nonprofit consortium dedicated to improving educational technology interoperability, has certified Oracle’s system. With over 1,200 member organizations worldwide, 1EdTech’s mission is to make educational technology more effective. Curtiss Barnes, CEO of 1EdTech, highlighted the importance of such collaborations in reducing complexity and improving secure data sharing, ultimately benefiting student success and institutional performance. Paving a Practical Path to the Cloud Oracle’s certification marks a step towards simplifying campus IT environments by adopting a standards-based approach. This shift enables institutions to focus more on strategic business configuration rather than resource-intensive technical development. Michael E. Maysilles from Princeton University noted that transitioning to a plug-and-play model could significantly enhance student and faculty experiences while minimizing risks. By certifying PeopleSoft Campus Solutions first, Oracle ensures that current integrations will seamlessly connect to Oracle Fusion Cloud Student in the future. This transformation could turn a traditionally costly development project into a straightforward connection switch, saving time and resources during cloud migration. Commitment to Interoperability Oracle’s commitment to supporting the Edu-API standard is evident through its role as a contributing member and co-chair of the Edu-API task force. Vivian Wong, Oracle’s Group Vice President of Higher Education Development, emphasized that this commitment empowers educational institutions to create…

Author: BitcoinEthereumNews

2025/10/29

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