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.

5080 Articles
Created: 2026/02/02 18:52
Updated: 2026/02/02 18:52
Comparing Ozak AI to Ethereum and BNB — Why AI-Powered Tokens Are Poised to Outperform Traditional Altcoins

Comparing Ozak AI to Ethereum and BNB — Why AI-Powered Tokens Are Poised to Outperform Traditional Altcoins

The post Comparing Ozak AI to Ethereum and BNB — Why AI-Powered Tokens Are Poised to Outperform Traditional Altcoins appeared on BitcoinEthereumNews.com. As the crypto market prepares for its next bull phase, investors are revisiting one fundamental question — which tokens will lead the next wave of growth? While traditional giants like Ethereum (ETH) and BNB continue to dominate in market cap and infrastructure, a new contender, Ozak AI ($OZ), is quickly redefining what long-term potential looks like in the age of artificial intelligence. At a time when Ethereum trades at $3,635 and BNB at $1,014, Ozak AI is still in its early presale phase at just $0.014—yet it’s already raised $4.5 million and sold over 1 billion $OZ tokens. Many analysts now see this as a rare early-stage opportunity reminiscent of Ethereum’s 2016 era — but this time, powered by AI-driven utility rather than smart contracts alone. Ethereum, BNB, and the Limits of Traditional Infrastructure Ethereum once positioned itself as the pioneer of smart contracts and decentralized applications and has so far maintained that position. BNB, on the other hand, capitalized on scalability and exchange-backed liquidity to dominate retail adoption. However, both face growing challenges in adapting to the next generation of blockchain demands — AI integration, autonomous decision systems, and real-time predictive computation. At the same time, when Ethereum and BNB networks can host AI-associated applications, they don’t necessarily process, train or deploy AI models. This thing keeps a space for specialized infrastructure such as Ozak AI, made particularly to bridge AI and blockchain computing at a protocol level.  How Ozak AI Changes the Game Ozak AI is more than an AI-labeled crypto — it’s a full-stack decentralized AI ecosystem designed to power autonomous, data-driven applications across DeFi, logistics, and enterprise sectors. Its architecture includes Prediction Agents (PAs), Ozak Stream Network (OSN), Data Vaults. This means Ozak AI can natively run AI workloads — not just host them — making…

Author: BitcoinEthereumNews
SoftBank sheds over $100B in value since exiting Nvidia

SoftBank sheds over $100B in value since exiting Nvidia

The post SoftBank sheds over $100B in value since exiting Nvidia appeared on BitcoinEthereumNews.com. SoftBank has bled over $100 billion in value since late October, after going all in on OpenAI and walking away from Nvidia. The company’s stock has collapsed about 40%, wiping out more than ¥16 trillion from its market cap. The hit came as Alphabet dropped Gemini 3.0, spooking investors and raising fresh doubts about OpenAI’s position. Now traders treat SoftBank like a proxy for OpenAI, and the result is brutal. Masayoshi Son thought he was buying the future. Instead, he’s watching his company sink as markets rethink how much they’re willing to pay for anything with the letters A and I in it. SoftBank’s profit in Q2 had soared to ¥2.5 trillion off the back of a $14.6 billion paper gain from OpenAI. But that upside didn’t last. The same bet is now setting fire to SoftBank’s value as fast as it inflated it. SoftBank spends billions while markets hit reverse On Wednesday, SoftBank shares briefly jumped after it confirmed the $6.5 billion acquisition of Ampere Computing, a U.S.-based chip designer that builds processors for servers. That one pop aside, the spending spree isn’t slowing. The company is staring down a $22.5 billion payment to OpenAI in December, part of its $32 billion total commitment to Sam Altman’s startup. It’s also trying to lock down a $5.4 billion deal for ABB’s robotics division. Masayoshi sold off SoftBank’s holdings in Nvidia and Oracle to load up on AI infrastructure. Now he’s buying into chipmakers that he believes can deliver energy-efficient AI processing. That includes Arm Holdings, which SoftBank owns nearly 90% of. Ampere builds on Arm’s architecture, and that’s where Son wants to push the hardware angle. But not everyone is buying that pitch. Amir Anvarzadeh, equity strategist at Asymmetric Advisors, doesn’t see it the same way. He said, “Beyond its…

Author: BitcoinEthereumNews
Zcash, Chainlink, or BlockchainFX? BFX’s 70% Token Bonus Makes It the Top Crypto to Buy in 2025

Zcash, Chainlink, or BlockchainFX? BFX’s 70% Token Bonus Makes It the Top Crypto to Buy in 2025

BlockchainFX leads 2025 picks with a global trading platform, Visa card utility, and a 70 percent bonus that boosts early presale allocations.

Author: Blockchainreporter
This $0.035 New Cryptocurrency is Likely to Gain 100x in 2026

This $0.035 New Cryptocurrency is Likely to Gain 100x in 2026

The post This $0.035 New Cryptocurrency is Likely to Gain 100x in 2026 appeared on BitcoinEthereumNews.com. Crypto Presales A new cryptocurrency priced at just $0.035 is quickly becoming one of the most talked-about early-stage tokens heading into 2026. Mutuum Finance (MUTM) has moved through its presale phases with remarkable speed, and analysts are now discussing whether this low-priced altcoin could grow far beyond its initial listing value. With real utility on the way, a structured revenue model and strong demand from early buyers, some believe MUTM is entering the same type of early momentum that fueled past 100x breakouts. The signs are starting to align, and expectations for next year are rising fast. What Mutuum Finance Aims to Build Mutuum Finance began its presale in early 2025 at $0.01. Demand grew quickly, and the current Phase 6 price has reached $0.035. This rise reflects a 250% gain from the first phase. The presale has raised around $19 million so far, brought in more than 18,200 holders and sold roughly 805 million tokens. Out of the total four billion supply, 45.5% is dedicated to the presale, giving early supporters one of the largest allocations in the market. Mutuum Finance is building a decentralized lending protocol designed to give users control of their assets. The system lets people lend and borrow through smart contracts while earning interest from platform activity. It aims to offer simple access to passive yield and transparent borrowing conditions. Investors searching for the best cryptocurrency to invest in often look for projects that combine early pricing with real utility, and this is one of the main reasons MUTM has become so popular. V1 Launch and Token Mechanics Strengthen Early Projections Mutuum Finance confirmed on its official X account that the V1 protocol will launch on the Sepolia Testnet in Q4 2025. The first version will include the lending pool, mtTokens, a debt-tracking token and…

Author: BitcoinEthereumNews
Mutuum Finance (MUTM) Price Analysis: This $0.035 New Cryptocurrency is Likely to Gain 100x in 2026

Mutuum Finance (MUTM) Price Analysis: This $0.035 New Cryptocurrency is Likely to Gain 100x in 2026

Mutuum Finance (MUTM) has moved through its presale phases with remarkable speed, and analysts are now discussing whether this low-priced […] The post Mutuum Finance (MUTM) Price Analysis: This $0.035 New Cryptocurrency is Likely to Gain 100x in 2026 appeared first on Coindoo.

Author: Coindoo
Top 13 Data Masking Tools Protecting Your Test Environments in 2026

Top 13 Data Masking Tools Protecting Your Test Environments in 2026

In the world of cybersecurity, a lot is written about testing vulnerabilities and attack vectors to reduce the risk of a data breach and keep up with privacy regulations. But if you are testing the security of your data, how do you do that without compromising the data itself? To construct a reliable test environment, […] The post Top 13 Data Masking Tools Protecting Your Test Environments in 2026 appeared first on TechBullion.

Author: Techbullion
Crypto News: Sergey Nazarov Discusses Chainlink $LINK and Market Prospects in Podcast

Crypto News: Sergey Nazarov Discusses Chainlink $LINK and Market Prospects in Podcast

The post Crypto News: Sergey Nazarov Discusses Chainlink $LINK and Market Prospects in Podcast appeared on BitcoinEthereumNews.com. Sergey Nazarov shares insights on Chainlink, including ETF news, investor actions, and market trends in a new podcast session.   Chainlink (LINK) has gained attention as investors closely watch its price movements. Chainlink had a peak near $30 earlier this year but dropped 55% from its high. Despite the decline, experts suggest potential drivers could influence LINK in the near term. Grayscale Support and Spot ETF Potential Michael van de Poppe shared on X that he hosted a podcast with Sergey Nazarov in New York during LINK’s SmartCon. He noted that the market outlook for the current cycle remains uncertain. Meanwhile, Rand noted that LINK is near the verge of the abyss but is showing strong resistance. https://t.co/ByL6BQFDaT is integrating Chainlink’s groundbreaking “Chainlink Runtime Environment” (CRE) to power our stLINK distribution system. This strategic move will bring unprecedented levels of security, reliability, and transparency to our liquid staking protocol, further… pic.twitter.com/CNBvXJXJmx — stake.link (@stakedotlink) November 25, 2025 Grayscale recently released a report calling Chainlink the key link between crypto and traditional finance. The report described Chainlink as modular middleware that allows applications to access off-chain data and interact across blockchains. The report also highlighted LINK as the largest asset in the Utilities and Services Crypto Sector. This gives investors exposure to the broader crypto economy. Analysts suggest that a U.S. spot ETF for $LINK could further increase institutional interest. Grayscale plans to introduce the ETF under the proposed GLNK product. Bloomberg analyst Eric Balchunas stated the ETF could launch before the end of November. The product would allow investors to gain exposure to $LINK without needing to self-custody the token. Exchange Reserves and Market Movements Recent data shows LINK holdings on centralized exchanges dropped to 128.4 million tokens, the lowest since summer 2022. Many investors are moving funds to self-custody,…

Author: BitcoinEthereumNews
Japan tests AI credibility; S.Korea-UAE push Stargate plan

Japan tests AI credibility; S.Korea-UAE push Stargate plan

The post Japan tests AI credibility; S.Korea-UAE push Stargate plan appeared on BitcoinEthereumNews.com. Homepage > News > Business > Japan tests AI credibility; S.Korea-UAE push Stargate plan Keen on protecting consumers, Japanese authorities have unveiled plans to evaluate the credibility of artificial intelligence (AI) models, pioneering a new method with minimal human interference. The National Institute of Information and Communications Technology (NICT) will begin developing the system with an early prototype scheduled for 2025. Under the new system, existing AI models will be used to measure the credibility of other large language models (LLMs). NICT’s AI-based evaluation method aims to determine whether an AI model provides biased answers or employs discriminatory expressions in its output. To assess the credibility, the base AI will generate a set of questions for the AI under review, gauging their user worthiness. Additionally, it will examine AI models for the use of discriminatory expressions or private information, the inclusion of content related to criminal acts, and whether they contain elements of misinformation or unsubstantiated information. NICT’s AI-powered evaluation will weigh responses for balance, probing AI models on their alignment with Japanese culture and nuance. Finally, models will be measured on their ability to respond to unforeseen risks while taking their “deceptive” abilities into consideration. The evaluation standard will be double-checked by a panel of sociologists and jurists, aligning processes with international best practices. For starters, the panel will attempt to align the evaluation process with the Hiroshima AI Process and other conventions while paying attention to the peculiarities and nuances. The results from the evaluation will be released in a specific format and are intended to serve as a guide for Japanese consumers to make an informed decision about which AI model to adopt. Since the AI boom in 2023, foreign-made AI models from the United States and China have seeped into Japan, but inconsistencies in their responses…

Author: BitcoinEthereumNews
LeverUp Partners with Pyth Network to Enhance Real-Time Data Feeds for Decentralized Perpetual Trading Applications

LeverUp Partners with Pyth Network to Enhance Real-Time Data Feeds for Decentralized Perpetual Trading Applications

By integrating Pyth’s oracles, LeverUp enhances its perpetual exchange's effectiveness and the reliability of decentralized applications on the platform.

Author: Blockchainreporter
Without Agent Oracle, the AI economy is just a castle in the air.

Without Agent Oracle, the AI economy is just a castle in the air.

Over the past few months, while working on the Agent system, I've become increasingly aware of something that's been severely underestimated: no matter how powerful an LLM becomes, it can't reliably assess the state of the real world. Once the Agent enters the actual execution layer—opening an account, trading, accessing websites, submitting forms—it's exposed to extremely high vulnerabilities because it lacks a "reality layer." What we lack is the Agent Oracle, a layer that is practically the cornerstone of the entire Agent ecosystem, yet it has long been neglected. Why is LLM insufficient? Because the essence of LLM is generating probabilistically optimal text, not a system for inferring the truth of the world. It cannot verify the authenticity of news, identify phishing links, determine whether an API has been compromised, understand whether a regulation is truly in effect, or accurately grasp the true bias behind Powell's speech. These all fall under "verification," not "prediction." Therefore, LLM itself can never become the "source of truth" for an agent. Traditional oracles are even less capable of solving this problem. They excel at dealing with the true nature of prices: structured, quantifiable, and observable data such as ETH/USD, BTC/BNB, indices, forex, and on-chain TVL. However, agents face a completely different reality: unstructured events, multi-source conflicts, semantic judgments, real-time changes, and blurred boundaries—this is the truth of events, an order of magnitude more complex than the truth of prices. The truth of events ≠ the truth of prices; their mechanisms are entirely different. Sora's proposed event verification market is currently the closest attempt to the right direction. Sora's core shift is that truth is no longer generated by node voting, but by agents performing real verification tasks. A query involves data scraping (TLS, Hash, IPFS), outlier filtering (MAD), LLM semantic verification, multi-agent reputation-weighted aggregation, reputation updates, and challenge penalties. Sora's key insight is Earn = Reputation: revenue comes from reputation, and reputation comes from long-term real work, not stake or self-declaration. This direction is revolutionary, but it's still not open enough—real-world event verification experts are extremely diverse, ranging from finance, regulation, healthcare, and multilingualism to security auditing, fraud detection, on-chain monitoring, and industry experience. No single team can build an agent cluster covering all these areas. Therefore, what we need is an open, multi-stakeholder "truth-seeking market." Why? Because the way humans acquire truth is not by asking a single expert, but by checking multiple sources, consulting multiple friends, listening to multiple KOLs, and then extracting a stable understanding from the conflicts. The agent world must also evolve along this mechanism. Our current development direction is a combination of ERC8004 and x402. ERC8004 is responsible for establishing the programmable reputation layer, recording each agent's historical performance, call count, success stories, challenge records, area of expertise, stability, etc., allowing a "verifiable career" to naturally determine an agent's eligibility to participate. x402, on the other hand, handles the payment layer. Through it, we can dynamically convene multiple agents with medium to high reputations in a single event verification, allowing them to verify in parallel, cross-validate, and aggregate the results based on their contributions. Instead of finding a single expert, we're assembling a committee—this is the true "truth committee" of the machine world. An open, multi-entity, reputation-weighted, challenge-incentivized, and self-evolving truth market may be the true future form of Oracle. Meanwhile, Intuition is building another layer: Semantic Truth. Not all truths can be verified through events, such as "Is a project trustworthy?", "Is the governance quality good?", "Does the community like a product?", "Is a developer reliable?", and "Is a viewpoint accepted by the mainstream?". These are not yes/no statements, but social consensus, suitable for expression using TRUST triples (Atom — Predicate — Object), with consensus strength accumulated through stakes for or against. It applies to long-term facts such as reputation, preferences, risk levels, and labels. However, their current product experience is indeed poor. For example, to create the statement "V God is the founder of Ethereum," all related terms must have an identity within the system, making the process very awkward. The pain points are clear, but their solution is not yet good enough. Therefore, the future truth structure will present two complementary layers: event truth (Agent Oracle) is responsible for the real-time world, and semantic truth (TRUST) is responsible for long-term consensus. Together, they constitute the truth foundation of AI. The Reality Stack will be clearly divided into three layers: the event truth layer (Sora / ERC8004 + x402), the semantic truth layer (TRUST), and the final settlement layer (L1/L2 blockchain). This structure is likely to become the true foundation for AI × Web3. Why will this change the entire internet? Because today's agents cannot verify authenticity, determine origin, avoid fraud, prevent data contamination, undertake high-risk actions, or perform cross-checks like humans. Without Agent Oracles, the agent economy cannot exist; but with them, for the first time, we can establish a verifiable reality layer for AI. Agent Oracle = the reality foundation of AI. The Oracle of the future will not be a network of nodes, but rather composed of countless specialized agents: they accumulate reputation through income, participate in verification through reputation, and obtain new jobs and challenges through verification. They will automatically collaborate, automatically divide tasks, and self-evolve, ultimately expanding to all knowledge domains. That will be a true machine society, a marketplace of truth. Blockchain provides us with a trusted ledger, but the Agent era requires trusted reality, trusted events, trusted semantics, trusted judgments, and trusted execution. Without Agent Oracles, AI cannot operate safely in the world; with them, we can build a "reality layer" for machines for the first time. The future belongs to protocols that help machines understand the real world.

Author: PANews