Weekly Token Unlocks: PYTH Unlocks Tokens Up to 37% of Circulating Supply

marsbitОпубліковано о 2026-05-17Востаннє оновлено о 2026-05-17

Анотація

This week's major token unlocks feature three notable projects, each releasing a significant number of tokens into circulation. **Pyth Network** is set for the largest unlock, releasing 2.12 billion PYTH tokens valued at approximately $95.24 million. This amount represents a substantial portion of its circulating supply. Pyth is a decentralized oracle network providing real-time financial market data for DeFi applications. **LayerZero** will unlock 25.71 million ZRO tokens, worth around $32.91 million. LayerZero is a full-chain interoperability protocol designed for secure and configurable cross-chain messaging. **Kaito** will release 17.6 million KAI tokens, with an estimated value of $7.78 million. Kaito is an AI-driven platform that aggregates and analyzes fragmented Web3 information from various sources like social media and governance forums. Each project section includes links to their official Twitter and website, along with a chart depicting their specific token release schedule.

Pyth

Project Twitter: https://twitter.com/PythNetwork

Project Website: https://pyth.network/

Tokens Unlocked This Time: 2.12 billion

Value Unlocked This Time: Approximately $95.24 million

Pyth Network is a decentralized oracle project, providing real-time and accurate financial market data covering DEXs, derivatives, DeFi lending, stablecoins, synthetic assets, etc. It aims to enhance the functionality and reliability of decentralized finance (DeFi) applications.

Specific release schedule is as follows:

Layerzero

Project Twitter: https://x.com/LayerZero_Core

Project Website: https://layerzero.network/

Tokens Unlocked This Time: 25.71 million

Value Unlocked This Time: Approximately $32.91 million

LayerZero is an omnichain interoperability protocol designed for lightweight message passing across chains. LayerZero provides trusted and guaranteed message delivery with configurable trustlessness.

Specific release schedule is as follows:

Kaito

Project Twitter: https://x.com/KaitoAI

Project Website: https://www.kaito.ai/

Tokens Unlocked This Time: 17.60 million

Value Unlocked This Time: Approximately $7.78 million

Kaito is an AI-driven Web3 information platform aimed at solving the issue of fragmented information in the crypto industry. By aggregating data from social media, governance forums, and other sources, Kaito uses AI technology to provide real-time search, sentiment analysis, and trend tracking.

Specific release schedule is as follows:

Пов'язані питання

QWhat percentage of the circulating supply does PYTH unlock represent according to the article?

A37% of the circulating supply.

QWhat is the primary function of the Pyth Network described in the article?

AIt is a decentralized oracle project that provides real-time, precise financial market data to enhance the functionality and reliability of DeFi applications.

QHow many tokens is LayerZero scheduled to unlock in this event?

A25.71 million tokens.

QWhat is the core purpose of the Kaito project as mentioned in the text?

AKaito is an AI-driven Web3 information platform that aims to solve information fragmentation in the crypto industry by aggregating data sources and providing real-time search, sentiment analysis, and trend tracking.

QWhat is the approximate USD value of the Pyth token unlock mentioned in the article?

AApproximately $95.24 million.

Пов'язані матеріали

Uncovering the Truth About Agent Commerce, Payments, and Infrastructure

Decoding Agent Commerce, Payments, and Infrastructure: The Reality Over the past year, I've been building infrastructure for the Agent economy, engaging with major players like Stripe, Visa, Coinbase, Google, and dozens of startups. A clear conclusion emerges: true, large-scale demand does not yet exist. Startups face structural challenges. Data points illustrate this gap. Stripe's Agent commerce platform has over 1,000 merchants but only single-digit transacting agents. Visa's Agent payment token requires 9-month KYC and a $250M revenue threshold, accessible only to giants like Amazon. On-chain analysis reveals actual daily Agent transaction volume is around $17k, half of which are test transactions. The article analyzes four potential markets: **1. Agent-to-Merchant (A2M):** Current AI shopping UX is often inferior to traditional e-commerce for visual, comparison-heavy purchases (clothing, electronics). Chat interfaces are a step back. Real merchant interest is defensive "Agent Engine Optimization," fearing future obsolescence, not current demand. Potential exists in high-frequency, low-decision purchases (e.g., food delivery) or simplifying terrible UX (complex checkouts, non-native shoppers), but these require massive consumer distribution channels dominated by giants like DoorDash and Amazon. **2. Agent-to-API (A2A):** Developers already have subscriptions and billing for core APIs (compute, data). The argument for micro-payments via crypto for sub-dollar API calls is addressed by pre-paid balances today. The deeper issue is supplier resistance; major SaaS firms rely on enterprise contracts, not fractional cent pricing. Opportunity lies in the long tail of niche services, but this is a smaller market catering to developers, a historically low-paying group. **3. Agent-to-Agent (A2A):** This remains a theoretical long-term vision with near-zero current transaction volume. It involves unique challenges: discovery, trust, negotiation, dispute resolution. When it materializes, it will require a fundamentally new settlement infrastructure for high-speed, variable-value, multi-party transactions. It's a real long-term bet, but not the current market. **4. Agent-to-Finance (A2F):** This is the only category with existing, paying demand. Integrating AI into financial workflows (trading, portfolio management) is a natural evolution and enables new capabilities like autonomous rebalancing. However, competition favors incumbents with regulatory licenses, compliance infrastructure, and existing client relationships. **The Real Issue:** Why is infrastructure still being built? Incumbents can afford long-term bets, and payment companies see every problem as a nail for their payment hammer. However, payment is just one piece. The core challenge is *coordination*—orchestrating work between Agents and humans, verifying outcomes, and settling results. Payment is part of settlement, which is part of coordination. Companies that solve the coordination problem will subsume payments, not the other way around. Startups lack the infinite runway of giants and must find today's real market, which, after a year of exploration, lies outside these four categories—in an area with real, growing, and underserved activity.

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Kalshi, MTS, and a16z's Ambition

The article "Kalshi, MTS, and a16z's Ambition" explores prediction markets as a focal point of excitement in 2025 for investors, crypto enthusiasts, and media. It traces their intellectual lineage from Friedrich Hayek's ideas on dispersed knowledge and market coordination to Robin Hanson's Logarithmic Market Scoring Rule (LMSR), which incentivizes truthful information sharing. The piece argues that a16z's significant investment in prediction market platform Kalshi (valued at $220B) transcends mere financial speculation. a16z frames prediction markets as a new form of "media" that provides "presence"—a way for individuals to actively engage with and influence world events through financial stakes, countering postmodern detachment. By wagering on outcomes, users become "super observers," and the market's aggregated probabilities gain authoritative power to define event truth and importance. The article uses media company MTS ("Monitoring The Situation") as a case study of a16z's "new media" strategy: rapidly producing high-intensity, multi-format content to "take over the timeline." However, prediction markets like Kalshi are presented as the ultimate piece in this media empire. Their real-money, crowd-sourced probabilities possess a unique "reality distortion field" and perceived objectivity, potentially swaying public opinion and granting a private company unprecedented interpretive power over reality. Ultimately, Kalshi's immense valuation is attributed not just to its exchange model, but to its role as a foundational component in a16z's envisioned new media landscape, where prediction markets define narrative and truth.

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Як купити PYTH

Ласкаво просимо до HTX.com! Ми зробили покупку PYTH (Pyth) (PYTH) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити PYTH (Pyth) (PYTH).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої PYTH (Pyth) (PYTH)Після придбання PYTH (Pyth) (PYTH) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля PYTH (Pyth) (PYTH)Легко торгуйте PYTH (Pyth) (PYTH) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

138 переглядів усьогоОпубліковано 2024.12.12Оновлено 2026.06.02

Як купити PYTH

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни PYTH (PYTH).

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