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AI is no longer seen as just a tool that writes text on a screen. In the next stage, these systems are expected to buy services on our behalf, make payments, use data and complete small digital tasks on their own. Kite AI is built exactly around this idea: an infrastructure where AI agents can have an identity, operate under defined rules and send payments on the blockchain. KITE token stands out as the main asset used within this structure for staking, governance, ecosystem access and network incentives. In this guide, let’s take a closer look at how Kite AI works, what KITE token is used for and why the project has attracted attention in the Web3 ecosystem.Kite AI’s Definition and OriginsKite AI is a Layer-1 blockchain project that aims to help AI agents have an identity on the blockchain, carry out transactions and send payments. The project positions itself as an “agentic payments” infrastructure, meaning a payment system designed specifically for AI agents.The word “agent” here refers to software systems that can complete a task given by a user on their own. For example, an AI agent can buy data on behalf of a user, access an API service, complete a transaction or interact with another digital service. In the traditional internet structure, these processes usually move forward with human approval. The user adds an item to a cart, reaches the payment screen, enters card details and confirms the transaction. Kite AI, on the other hand, is trying to build an infrastructure where this process can be carried out by software agents under certain rules.That is why it would be incomplete to think of Kite AI as a standard payment project. The project focuses not only on payments, but also on identity, authorization, control and transaction history. If an agent is going to make a payment, the system first needs to know who that agent is, on whose behalf it is acting and within which limits it can operate.One of Kite AI’s key components is Kite Agent Passport. Agent Passport provides cryptographic identity, funded wallets, spending rules and transaction records for AI agents. A user can assign a certain budget, time period or task area to an agent, and the agent can operate within those limits.The basic idea behind this model is simple: the user gains automation without losing control. The agent, meanwhile, can act within pre-defined rules without waiting for manual approval for every single transaction.The Project’s Main PurposeKite AI’s main purpose is to build the infrastructure that AI agents need to function as economic actors. Today’s internet was mostly designed for humans. Steps such as opening an account, making a payment, verifying identity and approving a transaction were shaped around human behavior.However, AI agents do not fully fit into this structure. An agent may want to make very small and frequent transactions. It may buy access to a service for only a few seconds. It may quickly move between multiple APIs, models, data providers or applications.At this point, traditional payment systems can be slow, costly or too centralized. Card payment systems carry chargeback risk. Banking infrastructure is not always suitable for instant micro-payments. Proving which transaction an agent is authorized to make also creates a separate problem.Kite AI aims to offer a blockchain-based solution to these issues. The project wants to build a faster and more auditable structure through stablecoin-based payments, programmable spending rules and on-chain transaction records. The most critical point here is that the AI agent does not have unlimited authority. The user can give the agent a certain budget, set a per-transaction limit, narrow the scope of the service and revoke access when needed. This creates a more balanced structure between automation and control.Kite AI’s origin story is also closely tied to data infrastructure. The project comes from the experience of Zettablock, a former data infrastructure platform. This background helps Kite approach data, identity and payment infrastructure together.Its Place in Web3 and AIKite AI focuses on the question of how AI agents can carry out transactions on the blockchain. The main issue here is not simply that an agent can act on its own, but under which authority, within which limits and on whose behalf it acts.When an AI agent makes a transaction on behalf of a user, the system needs to know several things at once. Is the agent actually authorized? Does the transaction comply with the limits set by the user? Which service was the payment made for? If something goes wrong, is there a record that can be checked later?This is where blockchain comes into play on the auditability and ownership side. Transactions can be tracked on-chain. Permissions can be limited through smart contracts. Payments can be made with stablecoins. Identity and transaction history can become more portable without being tied to a single closed platform.Agent Passport is important in Kite AI’s narrative for this reason. Passport works like a layer that defines an agent’s identity and permission limits. The user remains the owner of the main account, while the agent operates through limited sessions for a specific period.This structure becomes especially meaningful for micro-payments and service access. An agent can make a paid data request, get output from a model, access a digital service for a short time or complete a payment in an e-commerce transaction. When all of this happens within pre-defined rules, risk becomes easier to manage.On the Web3 side, this model can open up a new use case for decentralized applications. In areas such as DeFi, data markets, AI model markets, the API economy and digital commerce, agents being able to make transactions creates a new type of demand.Kite AI’s History: Key MilestonesIn Kite AI’s early period, the project was mostly described as a structure built around data, model and agent coordination. During this phase, testnet activity allowed users and developers to try the network.The testnet process was also important for building the project’s community. Users joined the network through various tasks, created activity and followed eligibility processes for future token distribution. In new Layer-1 projects, these types of testnet campaigns usually serve both as technical trials and as a way to build an early user base.Kite’s testnet process highlighted high transaction and interaction numbers. These figures were used to show whether the network could support intense and small-scale transaction traffic. This matters because in Kite AI’s target use case, transactions may often take the form of repeated small payments and service calls rather than large individual transfers.The project’s narrative also changed during this process. At first, data, models and agent coordination were emphasized more heavily. Over time, payment and transaction infrastructure became more visible. The idea that AI agents should not only produce information but also carry out economic transactions moved to the center of the project.The technical background of the team also stood out in Kite AI’s early development process. The founding team includes people with experience at organizations such as Databricks, Uber, Salesforce and UC Berkeley. This pulls the project’s narrative slightly more toward infrastructure rather than standard Web3 marketing.Kite AI’s co-founders include Chi Zhang and Scott Shi. Chi Zhang is known as the project’s co-founder and CEO. Scott Shi serves as co-founder and CTO. The team’s background revolves around data infrastructure, machine learning, product development and large-scale systems.KITE Token LaunchKITE token is used as the native crypto asset of the Kite AI ecosystem. The token is linked to staking, governance, ecosystem access, incentives and, in later stages, economic flows generated by network usage.KITE has a total supply of 10 billion tokens. In the initial token allocation, the ecosystem and community side received the largest share. This portion was allocated for user acquisition, developer incentives, liquidity programs, airdrops and growth activities. In the token distribution, 48 percent was allocated to ecosystem and community, 20 percent to modules, 20 percent to the team, advisors and early contributors, and 12 percent to investors. This distribution is important because it shows the model the project has built around long-term network usage and developer participation.Among KITE token’s early use cases are ecosystem access and module liquidity requirements. When a module owner creates a structure with its own token, they may need to lock KITE in liquidity pools.KITE is also positioned as an ecosystem participation tool for developers and AI service providers. In other words, the token can move beyond being only a tradable asset and also be used to access certain roles within the network.At later stages, KITE’s staking and governance functions become more prominent. The validator and delegator structure is built around users staking KITE to contribute to network security. Token holders can also take part in governance processes on issues such as protocol updates, incentive models and module requirements.Binance Listing and Ecosystem StepsOne of the most important milestones for KITE token was the Binance Launchpool process. Binance announced KITE as its 71st Launchpool project. Users were able to earn KITE rewards by locking BNB, FDUSD and USDC.The Launchpool farming process for KITE started on November 1, 2025. Binance later listed KITE on November 3, 2025, and opened KITE/USDT, KITE/USDC, KITE/BNB and KITE/TRY trading pairs. This listing made the token accessible to a wider investor base.In its announcement, Binance stated that the initial circulating supply was 1.8 billion KITE. This corresponded to 18 percent of the total supply. Since KITE’s total supply is 10 billion, the circulating supply ratio and unlock schedule became important topics for investors following the token price.As of July 2026, KITE coin price is around $0.10. KITE’s ability to be traded across different networks also drew attention during the listing period. On the token side, the supported structure across networks such as BNB Smart Chain, Ethereum and Avalanche helped users gain access through different ecosystems.In 2026, the mainnet process became more prominent for Kite AI. The Avalanche ecosystem announced Kite’s mainnet launch as an Avalanche L1. This step was important because it marked the project’s move from the testnet and token listing period to a production environment.With the mainnet, the Kite Chain and Kite Passport narrative became more concrete. Kite Chain is positioned as the chain layer that targets fast, low-cost and programmable payments between agents and digital services. Kite Passport stands out as the component that gives users more control over identity, authorization and payments.What Is KITE Token Used For?KITE token is the native token of Kite AI Network. According to the project documents, KITE supports network incentives, the staking mechanism and the governance process.One of KITE’s first use cases is ecosystem access. For developers, AI service providers or module owners who want to take part in the Kite AI ecosystem, the token can play a role in certain eligibility processes. This shows that the token is designed not only as a speculative trading asset, but also as a tool for participation within the network.KITE is also connected to the module economy. Modules in the Kite ecosystem can be seen as semi-independent areas that cover data, models, agents or different AI services. These modules interact with the network through settlement and attribution, meaning payment, reconciliation and contribution tracking.The requirement for module owners to lock KITE ties into the network’s liquidity and incentive structure. Through this model, the project aims to encourage active modules to build a longer-term relationship with the network instead of acting only in the short term. The success of this model depends on real usage increasing.Another role of KITE token is ecosystem incentives. Users, developers, service providers and network participants can benefit from different incentives depending on their contributions to the project. For these incentives to remain sustainable, real transaction volume needs to form on the network.So KITE’s value narrative does not directly follow a simple line such as “more users arrive, the price rises.” The real key point is whether paid service calls, agent payments, module usage and transaction revenues actually emerge within the Kite ecosystem.Staking and Validator StructureKite AI is described as an EVM-compatible Layer-1 network with a Proof-of-Stake structure. This structure connects validator and delegator roles to KITE token.Validators stake KITE to secure the network and take part in the consensus process. As in classic PoS networks, the validator structure plays an important role in keeping the network running properly and confirming transactions securely.In the Kite AI model, validators having a relationship with specific modules also stands out. Each validator choosing a particular module helps connect incentives more closely with module performance. This attempts to create a link between network security and service quality within the ecosystem.Delegators can also participate in the network by staking KITE without directly running a validator. These users can support the modules they choose and indirectly contribute to network security. The delegation model makes it easier for token holders without technical knowledge to take part in the staking process.The “piggy bank”-like continuous reward mechanism in Kite’s token economy also draws attention. In this model, modules, validators and delegators can accumulate rewards over time. However, if a participant claims and sells the tokens they have accumulated, they may lose certain future emission rights tied to the same address.This design aims to reduce short-term selling pressure. Participants have to choose between liquidity and future reward rights. Still, how such models work in practice depends on market conditions and user behavior.Governance and Ecosystem IncentivesAnother use case for KITE token is governance. Token holders can vote on issues such as protocol updates, incentive structure and module performance requirements during the network’s development process.Governance often looks strong on paper in Web3 projects. Its real impact depends on community participation, token distribution and how transparently voting processes are managed. The same applies to Kite AI.If many modules, service providers and users emerge on the network, governance can become more meaningful. In that case, decisions are no longer limited to technical updates; more concrete topics such as which services will be supported, which incentives will be prioritized and how network revenues will be directed can come to the agenda.KITE is also used in ecosystem incentives. The token allocation reserved for the community, developers and businesses can be used in airdrops, liquidity programs, developer support and growth campaigns.The positive side of these incentives is that they can accelerate network usage in the early stages. The downside is the risk that incentive-driven growth may not last. In many crypto projects, users remain active during the reward period, but network activity falls once rewards decrease.For this reason, the main indicator to watch for KITE is not only the price. Developer count, active module count, real transaction volume on the network, Agent Passport usage and stablecoin-based payment flows can provide healthier signals.Why Is Kite AI Important?To understand why Kite AI matters, it is useful to first look at the identity problem of AI agents. On today’s internet, there is usually a human account behind a transaction. The user logs in with an email, enters card details, approves the transaction and takes responsibility for it.AI agents challenge this model. Is an agent acting through the user’s account, or does it have its own identity? Did the user really request a transaction, or did the agent interpret something incorrectly? Where does the agent’s authority begin and where does it end?These questions are not only technical. They also matter for financial risk, data security and legal responsibility. If an agent buys the wrong service, spends too much or carries out an unauthorized transaction, the system needs to detect it.Kite Agent Passport comes into play at this point. Passport gives an agent a separate identity and a limited permission area. The user controls the main account, while the agent operates within the rules set for it.This structure may be especially important for businesses. Companies may want to use AI agents in customer service, data analysis, financial operations or supply processes. However, this usage remains limited if they cannot control what the agent can access and how much it can spend.Kite AI’s claim is to build this trust layer on the blockchain. Transactions are recorded, permissions become programmable and every payment can be tied to a specific identity or session chain.Automatic Payments and Transaction SecurityThe second important side of Kite AI is automatic payments. For AI agents to be useful in the real world, they often need access to paid services. Buying data, using a model, making an API call or purchasing a digital product can be given as examples.These transactions can happen at software speed, not human speed. An agent can make dozens of small transactions within seconds. Traditional payment infrastructure is not always suitable for payments that are this small and frequent. Stablecoin-based blockchain payments can offer an advantage here. Transactions can be completed faster, costs can be kept low and payment history can be tracked on-chain. Kite AI is trying to make this model specific to AI agents.Spending limits are critical for transaction security. A user does not want to give an agent unlimited wallet access. Instead, the user may want to define a per-transaction limit, daily budget, service scope or time limit.The programmable rules offered by Kite Passport are used at this point. The agent can make payments only within approved limits. When its authorization ends, it cannot carry out transactions. The user can revoke access whenever needed.The strength of this system is that it does not leave automation alone. The agent acts, but control does not fully disappear. Transactions can be monitored, records can be reviewed and permissions can be withdrawn when necessary.Of course, risks do not disappear completely. Smart contract bugs, misconfigured permissions, weak user experience or security vulnerabilities can create risks for Kite AI, as they can for any blockchain project. For this reason, security audits and real user experience are just as important as the project’s technical development.User Control and Web3 InfrastructureThe third important side of Kite AI is user control. As AI agents begin to carry out more transactions, users need clear answers to the question: “What happened on my behalf?”In the model targeted by Kite, the user can track the agent’s full history. Information such as which service was used, how much was paid, which session the transaction took place under and which rule allowed it can be connected to records.This structure fits with Web3’s transparency side. Transactions made on the blockchain can be monitored, payment flows can be tracked and identity/session links can be verified. However, careful design is needed on the privacy side. While each transaction becomes traceable, the user’s personal information should not be exposed.One of Kite AI’s important claims is EVM compatibility. Being an EVM-compatible Layer-1 means easier integration with Ethereum developer tools. This can help developers face less friction when moving into a new ecosystem.The Avalanche L1 structure stands out on the performance and customization side. Kite wants to build a fee structure, transaction speed and settlement model suited to its own use case. In an environment where agents carry out frequent and small transactions, predictable transaction costs become highly important.Frequently Asked Questions (FAQ)Below, you can find some frequently asked questions and answers about Kite AI:What is Kite AI, and when did it launch?: Kite AI is a Layer-1 project that aims to help AI agents have an identity on the blockchain, operate within permission limits and make payments. KITE token was listed on Binance on November 3, 2025, following the Binance Launchpool process.Who developed Kite AI?: Kite AI’s co-founders include Chi Zhang and Scott Shi. Chi Zhang serves as CEO, while Scott Shi stands out as CTO.What is KITE token used for?: KITE token is used for staking, governance, ecosystem access, the validator/delegator structure and network incentives. The token works as the native asset of the Kite AI ecosystem.Which problems does Kite AI aim to solve?: Kite AI aims to solve the identity, authorization, payment and transaction tracking problems of AI agents. Agent Passport, Kite Chain and stablecoin-based payment infrastructure stand out in this process.Is KITE suitable for investment?: KITE is a token that has attracted attention with its AI, Web3 and payment infrastructure narrative. However, before making an investment decision, the current price, circulating supply, token unlock schedule and project usage data should be reviewed separately.Which network does Kite AI run on?: Kite AI is positioned as an EVM-compatible Layer-1 blockchain. On the mainnet side, the Avalanche L1 structure stands out, while KITE token was supported on BNB Smart Chain, Ethereum and Avalanche during the listing period.Follow the JR Kripto Guide series for the latest information on Kite AI and Web3-based AI projects.
Binance Alpha announced that it has removed eight tokens from its featured list following its latest review. According to the exchange’s official announcement, TradeTide (TTD), Space Nation (OIK), Luna by Virtuals (LUNAI), Alt.town (TOWN), Vita Inu (VINU), PUP, Cypher (CYPR), and Datagram Network (DGRAM) were removed from the list for failing to meet the platform’s required standards. The removal took effect on June 30, 2026, at 13:30 TRT. Binance did not provide a detailed explanation behind the decision, but such removals usually stem from low trading volume, insufficient liquidity, or failure to comply with the platform’s quality criteria.Users Can Still Trade Their TokensBinance stated that users can still withdraw and sell the tokens removed from the list. The exchange offered two methods for these transactions. Through Binance Alpha, users can go to the Assets tab, enter the Alpha section, select the relevant token, and withdraw it. They can also use the Instant option from the same menu to sell it directly. Binance Wallet users can access the tokens by searching for them in the Market tab.The exchange advised users to follow the relevant steps carefully before carrying out these transactions.Risk Warning Remains in FocusIn its official announcement, Binance Alpha emphasized that tokens on the platform carry higher-than-normal risks and may be exposed to significant price volatility. The exchange urged users to conduct their own research, known as DYOR, and fully understand the projects before trading them. Binance also stated that updates on the matter would be shared through the official X account of Binance Wallet.General Overview of the Removed ProjectsThe removed tokens include projects from different categories. TradeTide is known as a platform built on BNB Smart Chain that offers AI-powered trading strategies. Alt.town stands out as an ecosystem that tokenizes the value of digital identities such as virtual influencers and VTubers. Vita Inu is a community-driven meme coin project that has been active on BNB Smart Chain since 2021. The other tokens, Space Nation, Luna by Virtuals, PUP, Cypher, and Datagram Network, are among smaller-scale and relatively lesser-known projects.Binance’s periodic reviews are considered a standard practice aimed at maintaining the quality of listings on the Alpha platform. The exchange has previously removed tokens from its featured list in a similar way when they failed to meet certain criteria.As for market prices, it is currently difficult to present a clear picture. Most of the tokens removed from the list have low market capitalization and limited trading volume, which can lead to significant discrepancies between different data sources. Finally, Binance urged users to remain cautious when trading such low-liquidity and volatile assets, and to apply proper risk management.
Binance issued three separate announcements for the period between June 30 and July 3, 2026. While the exchange moved its tokenized stock product bStocks to Spot, it also opened Margin trading for two new tokens and decided to halt trading on nine pairs.Five bStocks Pairs Arrive on SpotBinance opened USDT pairs for Lumentum (LITEB), Meta (METAB), Microsoft (MSFTB), Palantir (PLTRB) and Invesco QQQ Trust (QQQB) for Spot trading on June 30, 2026, at 16:30 Türkiye time. Spot Algo Trading Bot services for these five pairs also went live at the same time. The exchange announced that it will charge zero maker fees on these pairs until August 31, 2026. bStocks are tokenized securities issued by BTech Holdings Limited and offered through a prospectus approved in the Abu Dhabi Global Market (ADGM). Token holders do not directly become shareholders in the relevant company; instead, they receive a right linked to the underlying asset held by BTech. Users can convert their existing shares into bStocks at a 1:1 ratio free of charge. All five tokens operate on BNB Smart Chain through their own smart contracts. Deposits and withdrawals opened one hour after the listing, at 17:30 Türkiye time.Binance also listed the risks attached to the product in detail. These include liquidity, issuer, custody, brokerage, operational, technological, regulatory and tax risks. bStocks are not offered to U.S. citizens and are not registered under U.S. securities laws. To trade them, users must be located in an eligible jurisdiction and must have completed account verification.Margin Trading Starts for RE and XPLOn the same day, Binance Margin added RE and XPL tokens to Cross Margin trading. Trading for RE/USDT, RE/USD1, XPL/USDT and XPL/USD1 pairs started on June 30, 2026, at 11:00 Türkiye time. The exchange reminded users that newly listed pairs can be volatile by nature and urged them to apply strict risk management. Binance also recommended following its margin data page for margin rates, collateral ratios and the latest list of borrowable assets.Nine Pairs to Be Removed From SpotThe third announcement was a delisting decision. Binance said it will remove nine spot trading pairs after its periodic reviews, citing factors such as low liquidity and trading volume. Trading for BIGTIME/USDC, BTC/EURI, CTK/BNB, CTK/BTC, ETH/EURI, ETH/PLN, GUN/BNB, JST/BTC and ZEN/BTC will end on July 3, 2026, at 06:00 Türkiye time.Binance also noted that PLN is not a cryptocurrency, but a fiat currency. The removal of a trading pair does not mean that the assets in that pair will no longer be tradable on the exchange entirely; users can continue trading the same assets through other available pairs on Binance. The exchange also emphasized that Spot Trading Bot services running on the affected pairs will be terminated on the same date. To avoid potential losses, users should update or cancel their bots before the deadline.
As DeFi grows across the Sui ecosystem, one key question becomes more important: where will liquidity on this network gather? Momentum is one of the projects trying to answer that question. With its DEX, liquid staking, vault products, token launch infrastructure and RWA ambitions, it aims to build a broader financial layer on Sui.The project’s native token is MMT. Within Momentum, MMT stands out through governance, incentive distribution and the veMMT locking model. In this guide, we will look at what Momentum is, how it works, what the MMT token is used for and why the project has become one of the notable names in the Sui ecosystem.Momentum’s Definition and OriginsMomentum is a liquidity and DeFi infrastructure built on Sui. Although Momentum DEX is the project’s most visible product, the ecosystem is not limited to that.Momentum DEX is a decentralized exchange where users can trade tokens and provide liquidity. Its main difference is that it uses a CLMM structure, which is more capital-efficient than traditional automated market maker models.CLMM stands for “concentrated liquidity market maker.” In this model, liquidity providers do not have to spread their assets across the entire price range. Instead, they can choose a narrower price range and use their capital more effectively within that area.This structure is especially important for actively traded pairs. The same amount of capital can support more trading volume when placed in the right price range. For liquidity providers, this may increase potential returns; for traders, it can make transaction costs more efficient.This is also the starting point of Momentum. The project argues that the DeFi market on Sui needs stronger liquidity infrastructure. That is why it does not only offer a trading interface; it also tries to bring liquidity, staking, treasury management, token launches and yield strategies into the same ecosystem.Momentum’s Main PurposeMomentum’s main goal is to make assets on Sui easier to trade and to create lasting liquidity for these assets. In DeFi, liquidity is often attracted through temporary campaigns. When a protocol distributes rewards, users arrive; when the rewards end, capital moves elsewhere. Momentum is trying to make this cycle more sustainable.To do this, it uses the ve(3,3) model. In this model, MMT holders lock their tokens and receive veMMT. veMMT holders then have a say in which liquidity pools receive more incentives. Momentum’s poster for veMMT. This means the system does not work only on a “provide liquidity, earn rewards” logic. Users can also influence the direction of the protocol’s liquidity. This shows that Momentum places community participation at the center of its token economy.Another goal of Momentum is to make the Sui DeFi experience more useful. It offers liquid staking through xSUI, automated yield strategies through Vaults, multi-signature asset management through MSafe and token launch infrastructure through TGL.Each of these products addresses a different need. Their common goal is to create a deeper, more useful and longer-term DeFi market on Sui.Which Network Does Momentum Use?Momentum’s main network is Sui. The project builds its products around the Sui ecosystem and focuses especially on providing liquidity infrastructure for Sui-based assets.Sui’s Move-based structure creates an important foundation for Momentum. Move is known as a programming language focused on security and verifiable transaction logic. Momentum’s MSafe product is one of the asset management solutions built on this structure.Momentum’s plan is not limited to Sui alone. Official documents state that after the Sui ecosystem, the project also aims to support assets from other chains. At this stage, a broader asset structure is planned through cross-chain messaging solutions such as Wormhole.In the longer term, real-world assets also come into play. Momentum wants to support tokenized versions of assets such as securities, commodities, real estate and intellectual property.Momentum’s History: Key MilestonesMSafe has an important place in Momentum’s history. MSafe is a multi-signature smart contract wallet developed for Move-based digital asset management.A multi-signature structure is especially important for teams, DAOs and protocols. It prevents funds from being moved under the control of a single person. Before a transaction can be executed, multiple approvals are required.This structure is a common security layer in treasury management for crypto projects. MSafe stood out as one of the products answering this need on Sui.MSafe should not be viewed only as a fund custody tool. It can also be used in areas such as token vesting, protocol governance and dApp integrations. For that reason, MSafe is a good starting point for understanding Momentum’s more institutional and team-oriented side.Official documents state that MSafe has been a multi-signature, non-custodial smart contract wallet operating since the first day of the Sui mainnet. This shows that Momentum’s connection to the Sui and Move ecosystems is not new.Development of Momentum DEXMomentum DEX became the project’s main product. According to official documents, the beta version of the DEX was launched on March 31, 2025.The DEX aims to offer stronger trading infrastructure for tokens on Sui. At this point, the concentrated liquidity model becomes important. This model can help liquidity providers use their capital more efficiently and help traders execute transactions at better prices.Another important side of Momentum DEX is that it works together with the ve(3,3) model. Liquidity incentives are not determined only by the protocol in a one-sided way. veMMT holders can vote on which pools receive more rewards.This structure also matters for projects on Sui. When a new token enters the market, it needs a strong liquidity area. Momentum aims to make this process more organized through both its DEX and Token Generation Lab.xSUI, Vaults and Token Generation LabOne of the important products in the Momentum ecosystem is xSUI. xSUI works as the liquid version of staked SUI.When users stake SUI, they can receive xSUI in return. This allows them to continue earning staking rewards while still having the chance to use their assets in DeFi. Compared with traditional staking, this offers a more flexible structure.For example, when a user stakes SUI, they normally give up liquidity. In the xSUI model, the user receives a token representing the staked position. This token can be used in different DeFi products.Vaults are designed to offer a more automated yield experience. Users do not need to constantly manage positions, choose price ranges or rebalance manually. On the Vaults side, these processes move through more ready-made strategies.Token Generation Lab is Momentum’s launchpad product. Its aim is to make token launches for selected projects on Sui more efficient. TGL access being exclusive to veMMT holders is one of the elements that strengthens Momentum’s token locking and community participation model.MMT Token’s Market DebutThe token of the Momentum ecosystem is MMT. In the official MiCA whitepaper, the token’s name is listed as Momentum Token and its ticker as MMT.MMT’s total supply has been set at 1 billion. The token is defined as being issued under Sui’s fungible token standard.The purpose of MMT is to power governance and incentive mechanisms within Momentum. Users can lock MMT and receive veMMT. veMMT is used for voting power, incentive direction and access to certain ecosystem opportunities.There is an important distinction here. In official documents, MMT is not defined as a company share, revenue right or security. The token’s function is limited to its use within the Momentum protocol.As of June 2026, MMT coin price is around $0.17. What Is MMT Token and What Is It Used For?MMT is primarily Momentum’s governance and incentive token. It is used as the main tool for long-term participation in the protocol.Token holders can lock their MMT and receive veMMT. This locking structure encourages users to stay connected to the protocol for a longer period. A longer lock duration means more voting power.MMT is also connected to liquidity rewards and community incentives. Users who trade, provide liquidity or participate in governance may encounter different reward mechanisms.However, evaluating MMT only through price movement would be incomplete. The token’s real importance appears in Momentum’s operating model. Since the veMMT system determines where emissions flow, MMT sits directly at the center of the protocol economy.What Is veMMT?veMMT is the voting power token received by users who lock MMT. It does not work like a transferable token; it functions more like a participation right inside the protocol.The more MMT a user locks, and the longer the chosen lock period is, the more veMMT power the user receives. According to official documents, the lock duration can go up to four years.A one-year lock gives lower voting power, while a four-year lock provides maximum voting power. This structure aims to prioritize users who take a longer-term view of the protocol rather than short-term traders.veMMT holders play a role in the distribution of liquidity incentives. They can vote on which pool receives more emissions. This allows Momentum’s liquidity map to be shaped by the community and token holders.The strong side of this model is that it tries to align users with the growth of the protocol. The risky side is the lock duration. A user who locks tokens gives up liquidity for a certain period, even if market conditions change.MMT Token EconomyMMT has a total supply of 1 billion tokens. The initial supply planned to enter circulation during the Token Generation Event was stated as 204,095,424 MMT. This equals around 20.41% of the total supply.The largest share in the distribution is allocated to the Community Growth category. This category represents 42.72% of the total supply. Liquidity incentives, growth campaigns, risk management, RWA integrations and community-focused work are supported from this allocation.The ecosystem allocation is 13%. This portion is reserved for developer support, integrations, hackathons and technical growth work. The share allocated to investors and early supporters is 24.78%. The Public Sale allocation is set at 1.5%. The team allocation is 18%.The vesting structure is based on long-term locking. According to official documents, team and investor tokens do not unlock at TGE. Investor tokens unlock gradually over 48 months after a 12-month cliff. Team tokens remain locked for the first 48 months.This structure aims to prevent heavy selling pressure from forming on the first day. Momentum’s token unlock plan. Why Is Momentum Important?Momentum’s importance comes from its direct focus on the liquidity needs of Sui. For a blockchain ecosystem to grow, fast transactions alone are not enough. The network also needs strong DEXs, deep liquidity and an active user base.Momentum DEX tries to take on a critical role here. It offers infrastructure for tokens on Sui to trade more efficiently. Liquidity providers can place their capital in narrower ranges. Traders can execute transactions at more efficient prices.This structure also matters for new projects. Tokens launched on Sui need a healthy market. Momentum tries to meet this need through both its liquidity and launch-side products.Making Incentives More Long-Term With the ve(3,3) ModelDistributing incentives in DeFi is easy. Turning those incentives into lasting liquidity is the hard part.Momentum uses the ve(3,3) model to answer this problem. Users lock MMT and receive veMMT. veMMT holders then decide which pools receive more rewards.This system tries to manage liquidity through community direction rather than only growing it with short-term campaigns. If a pool is seen as important for the ecosystem, it can receive more incentives through the votes of veMMT holders.Of course, this model also carries risks. Voting power may become concentrated in the hands of certain users. Long lock periods may be challenging for users during periods of market volatility. Still, Momentum’s token economy looks for a more structural answer to the temporary liquidity problem often seen in DeFi.Giving SUI Holders More Flexibility With xSUIxSUI is one of the most notable products Momentum offers to SUI holders. Users can stake SUI while staying liquid at the same time.This creates an important difference for DeFi. When users stake their assets, they earn passive income. Through xSUI, they can also use the token representing this position in other DeFi transactions.This means the same capital does not remain locked in one place. SUI staking rewards can continue while other opportunities within the ecosystem are also used.These kinds of liquid staking products can increase DeFi activity on a network. User capital becomes more mobile. Momentum also aims to increase capital efficiency on Sui through xSUI.Real-World Asset AmbitionsMomentum’s long-term plan also includes real-world assets. The Momentum X product sits at the center of this goal.Real-world assets, or RWAs, have become one of the most discussed topics in the crypto market in recent years. Treasury bills, commodities, real estate and different financial products can be tokenized and brought onchain.However, this area cannot be solved through technical infrastructure alone. Identity verification, compliance, transfer rules and regulation are also required. That is why Momentum X is designed as a more institutional layer.Official documents state that Momentum X aims to build compliant trading infrastructure for tokenized assets. If this plan succeeds, Momentum may provide infrastructure not only for Sui tokens, but also for a broader onchain financial market.Momentum’s Developers, Investors and CommunityRize Labs is the structure behind Momentum Finance. In the official MiCA whitepaper, Rize Labs Inc. and Rize Labs Foundation are listed as structures connected to the project.On the team side, Wendy Fu is listed as CEO and co-founder. Fu’s background includes experience at Meta/Facebook and work connected to the Libra/Diem team. This detail is especially notable for the Move ecosystem.Jacky Wang is listed as CTO and co-founder. Official documents state that Wang worked on Layer 1 protocol development, consensus mechanisms and smart contract infrastructure at Harmony.Vinson Leow is listed as CSO. Leow is described as having experience in Web3 growth, strategy and investment.Investors and Strategic BackersMomentum’s official documents state that the project has raised more than $11 million in total funding. Investors include Coinbase Ventures, Circle Ventures, OKX Ventures, Jump, Aptos Foundation, Sui Foundation, Varys Capital, Protagonist, Selini Capital, Amber Group, KuCoin Ventures, Gate Ventures and MEXC Ventures.This list shows that the project is seen as one of the notable infrastructure initiatives within the Sui and Move ecosystems. The presence of names connected to the Move ecosystem, such as Sui Foundation and Aptos Foundation, is especially important in this regard.Community and GovernanceMomentum’s community structure is shaped around MMT and veMMT. Users lock MMT to receive veMMT. This veMMT provides voting power inside the protocol.veMMT holders can have a say in which pools receive liquidity incentives. This moves the community away from being only an observer. Users can influence which areas of the protocol receive more resources.There is also a special access model for veMMT holders on the Token Generation Lab side. Selected token launches, early-stage opportunities and community-focused campaigns may be connected to this structure.This model shows that Momentum places the community inside the protocol economy. However, the point users need to pay attention to is the lock duration. To receive veMMT, users need to lock MMT, which means giving up liquidity.Frequently Asked QuestionsBelow, you can find some frequently asked questions and answers about Momentum.What is Momentum and when was it launched?: Momentum is a DeFi and liquidity infrastructure built on Sui. Its main product is Momentum DEX. According to official documents, the beta version of Momentum DEX was launched on March 31, 2025.Who developed Momentum?: Rize Labs is the structure behind Momentum Finance. In official documents, Wendy Fu, Jacky Wang and Vinson Leow are listed among the core team members.What is MMT token used for?: MMT is the governance and incentive token of the Momentum ecosystem. Users can lock MMT and receive veMMT. veMMT provides voting power, incentive direction and access to certain ecosystem opportunities.What is veMMT?: veMMT is the voting power token received by users who lock MMT. A user’s voting power changes depending on the amount of MMT locked and the lock duration.Which network does Momentum use?: Momentum’s main network is Sui. The project focuses on strengthening liquidity, staking, token launch and DeFi infrastructure on Sui.What is xSUI?: xSUI is the liquid version of staked SUI. Users can receive xSUI when they stake SUI and use this token in DeFi.Why is Momentum important?: Momentum tries to bring liquidity, DEX, staking, vaults, token launch infrastructure and RWA infrastructure together in the same ecosystem on Sui. For that reason, the project stands out as a broader Sui-based DeFi infrastructure, rather than only a decentralized exchange.Follow the JR Kripto Guide series for the latest information on Momentum and Sui-based DeFi projects.
As July begins, the crypto market is focused on five separate themes: Europe’s MiCA regulation, Robinhood’s new product launch, macro data from the U.S. and Europe, DeFi governance votes and the token unlock calendar. The most critical development is taking place in Europe. The transition period for the European Union’s Markets in Crypto-Assets regulation, known as MiCA, ends on July 1.MiCA becomes a concern for investors in EuropeBinance has withdrawn its MiCA license application in Greece and is now seeking approval from another EU country. This move has temporarily left the world’s largest exchange without a license in the EU. In a statement on the matter, Binance informed its users that it would no longer be able to accept new registrations and that some services would be restricted.Coinbase and OKX, meanwhile, moved quickly. Coinbase CEO Brian Armstrong announced a 5 percent transfer bonus valid until July 13 for users in Germany, France, Italy, Belgium, Poland, Sweden and the United Kingdom. OKX also launched one of the largest welcome campaigns in the company’s history, offering eligible users in the European Economic Area investment matching of up to 8 percent.In an email sent to users, Binance said their assets were safe and would remain accessible at all times. The company says its goals in Europe have not changed and that it is confident it will obtain a MiCA license in the coming months. However, the number of users lost during this period also raises the question of how many of them will return once the license is secured.Robinhood announcementMiCA is not the only item on the agenda. Robinhood will announce new products at its “The World is Flat” event on July 1, where CEO Vlad Tenev is expected to appear alongside Johann Kerbrat, the company’s general manager of crypto. On July 2, tokenization firm Securitize will also begin trading on the NYSE following its SPAC merger.Macroeconomic developmentsThe macro calendar will also be busy this week. On June 30, the U.S. House Price Index and JOLTs job openings data will be released. Market expectations for JOLTs stand at 7.28 million, compared with the previous reading of 7.618 million.On July 1, the eurozone’s preliminary inflation data for June will be published, with expectations at 3 percent, down from the previous 3.2 percent. On the same day, markets will follow U.S. ADP employment data, the ISM manufacturing PMI and Fed Chair Warsh’s speech at the European Central Bank forum.The most important data of the week will arrive on July 2, when nonfarm payrolls, the unemployment rate and weekly jobless claims will all be released on the same day. Markets expect nonfarm payrolls to come in at 114,000 and the unemployment rate at 4.3 percent. The previous nonfarm payrolls figure was 172,000, so the expected decline is quite sharp.What is happening in the altcoin market?The DeFi agenda is also far from quiet. Aave DAO has opened voting on a proposal to upgrade the Pendle PT risk oracle infrastructure to an automated system; the vote closes on June 30. The Arbitrum community is discussing a proposal to halt new investment activities by Arbitrum Gaming Ventures and limit the initiative to its existing portfolio, with excess capital planned to be returned to the treasury.Aavegotchi has also put forward a proposal to transfer the protocol’s intellectual property from Pixelcraft Studios to the AavegotchiDAO Foundation. The Redbelly Network community is evaluating a proposal to suspend the activities of its DAO until the ecosystem becomes more mature.On the token unlock calendar, EigenCloud will release 2.91 percent of its circulating supply into the market, worth approximately $8.44 million. MemeCore will unlock 0.56 percent of its supply, valued at $36.25 million. There are no scheduled token launches for this week.On the conference calendar, the Global Blockchain Show 2026 will take place in Riyadh on June 29-30, while Stablecoins Unblocked will be held in London on July 1.
Sapien is a decentralized data protocol focused on producing verifiable human knowledge and high-quality training data for artificial intelligence systems. The project aims to make the data used by AI models more transparent in terms of who produced it, how it was evaluated and how reliable it is.SAPIEN is the native token of this ecosystem. The token is designed to be used for staking, contributor rewards, quality assurance, the reputation system and governance processes in the future.At the center of Sapien is a system called Proof of Quality, or PoQ. This structure allows a data output or expert evaluation to be scored by independent validators, turned into a shared quality score and recorded onchain.For this reason, Sapien is considered not only as an AI coin project, but also as a protocol that aims to reorganize AI data production and verification through blockchain-based incentives.Sapien’s Definition and EmergenceSapien defines itself as a “decentralized data foundry.” This can be described as a decentralized data production network or decentralized data factory. The main idea of the project is to organize human contributors from different parts of the world around verified data production that can be used for AI models.Artificial intelligence systems need large amounts of data. However, data volume alone is not enough. For a model to produce accurate, reliable and contextually appropriate results, the data it uses must also be high quality.Sapien’s starting point is this problem. The project tries to offer a blockchain-based answer to a question often encountered in AI development processes: “Who produced this data, how was it checked and is it reliable?”In traditional data labeling and quality control systems, the process is usually managed by centralized teams. In such structures, it is not always clearly visible from the outside how quality standards are determined, how contributors are evaluated and how faulty contributions are filtered out.Sapien aims to make this model more open, incentive-driven and auditable. Contributors complete tasks, validators evaluate these outputs according to specific rubrics, the system reduces the results to a quality score and the resulting verification record can be stored on the Base network. The project’s place in the Web3 ecosystem also becomes clear here. Sapien applies blockchain tools such as staking, slashing, reputation systems, validator systems and onchain attestation to the AI data quality problem.This approach separates Sapien from a platform that only performs data labeling. The project aims to turn human knowledge into a more reliable, measurable and economically incentivized data layer for AI models.Sapien’s History: Key MilestonesSapien’s development process began with early product work focused on the AI data quality problem. The project grew around the idea of making human-contributed data production for AI models more scalable and reliable.The team behind Sapien consists of people experienced in crypto infrastructure, data systems, product development and AI workflows. The project’s CEO, Rowan Stone, is known for his previous work related to Coinbase and the Base ecosystem. CSO Trevor Koverko is one of the well-known entrepreneurs in the blockchain sector, with a background in Polymath and Polymesh.In 2024, Sapien attracted attention from the broader crypto and AI community with a $10.5 million seed funding round. This financing process showed that the project was not only a theoretical idea, but also a serious infrastructure initiative aiming to grow within the AI data market.The year 2025 became a more decisive period for Sapien on the token side. The project published its tokenomics document, clarifying the supply structure, incentive model, staking use and ecosystem role of the SAPIEN token.The SAPIEN Token Generation Event, or TGE, took place on August 20, 2025. The token was launched in ERC-20 format on Base, Coinbase’s Ethereum Layer 2 network.In the same period, SAPIEN also began trading on Binance Alpha and Binance Futures. Binance opened SAPIEN on the Alpha side on August 20, 2025, and listed the SAPIENUSDT futures contract.Later, centralized exchange access for SAPIEN expanded. The token began trading on exchanges such as Coinbase and Kraken. This process helped Sapien reach broader market liquidity.The Binance spot listing was announced on November 6, 2025. Binance stated that it would open trading for SAPIEN through the SAPIEN/USDT, SAPIEN/USDC, SAPIEN/BNB and SAPIEN/TRY pairs. This listing made SAPIEN more easily accessible to retail investors.SAPIEN’s price history has shown high volatility since the token entered the market. According to market data, SAPIEN’s all-time high was recorded at $0.5364. As of June 2026, the SAPIEN coin price is around $0.07. Why Is Sapien Important?To understand Sapien’s importance, it is necessary to look at the data problem in the artificial intelligence sector. AI models are not only made of code. The quality of these models depends largely on the data sets they are trained on, the accuracy of these data sets and how model outputs are evaluated.Today, AI models are used across many different areas such as text, images, audio, video, code, medical data, security analysis and robotics. Each of these areas creates different expertise and quality control needs.General user contribution may be enough for simple data labeling tasks. However, interpreting a medical image, evaluating a security vulnerability or analyzing sensor data from an autonomous vehicle requires a much higher quality standard.This is where Sapien combines human contribution with economic incentives. Contributors stake SAPIEN in certain cases to be able to perform tasks. This stake acts as a guarantee against quality.If the contribution is high quality, the user may earn rewards and increase their reputation score. If the contribution is low quality, incorrect or malicious, the system may apply stake loss through slashing.This structure provides important alignment in AI data production. The contributor is incentivized not only to complete a task, but also to produce high-quality work.The Proof of Quality system is important for the same reason. PoQ tries to make subjective data evaluations more measurable. An expert output, a model response or a data label is scored by independent validators and converted into a shared quality score.Recording this score onchain gives the process auditability. This allows an AI team to evaluate the data it uses not only by its raw form, but also together with its verification history.The area Sapien targets is broad. The project aims to become a quality layer across different use cases such as training data production, LLM evaluation, fine-tuning, RAG source verification, agent decisions, security checks, robotics and autonomous systems.Sapien’s Technical Structure and Proof of Quality SystemAt the center of Sapien’s technical structure is Proof of Quality. PoQ is a consensus and attestation system used for subjective data and expert outputs.To put this system more simply, PoQ tries to measure how reliable an output is. This output may be a data label, a model response, a security finding, a medical evaluation or an expert report.The process first begins with a task definition. In Sapien’s documents, this structure is called Task Definition Specification, or TDS. TDS determines what a task measures, which inputs it uses, what the quality criteria are and which rubric validators will use for evaluation.The first stage is called Originate. At this stage, the data set or expert output is entered into the system. The purpose of the task, the expected quality standard and the evaluation rules are defined.The second stage is the Validate process. At this stage, staked validators evaluate the relevant outputs. Each validator scores the output according to the defined rubric.Sapien’s official documents state that this scoring process produces a normalized score between 0 and 100. The scores given by different validators are then reduced to a single result through a consensus mechanism.The third stage is the Attest process. The quality score created as a result of consensus is converted into a cryptographic record. This attestation becomes verifiable on the Base network.This structure does not mean that the entire data is written to the blockchain. In Sapien’s approach, the data itself may remain within systems, while the verification record and quality signal are carried onchain. This is important for both privacy and scalability.One of the main mechanisms used by Sapien is the staking system. Contributors can stake SAPIEN to participate in certain tasks or access higher-value tasks. Stake ensures that users take economic responsibility for quality.The reputation system is also an important part of the technical structure. Users’ task history, accuracy rate, contribution quality and validation performance gradually form a reputation profile. Higher reputation may provide access to more complex or better-rewarded tasks.Slashing is the system’s discipline mechanism. Low-quality, inconsistent or malicious behavior may be punished with stake loss. In this way, the protocol moves beyond being merely a task platform that distributes rewards and becomes a network that economically protects quality.This technical structure summarizes Sapien’s main solution to the AI data quality problem. Contributors produce work, validators measure quality, consensus creates a shared score and the result becomes auditable onchain.What Is the SAPIEN Token and What Is It Used For?The SAPIEN token is the native crypto asset of the Sapien protocol. The token is used not only for market trading within the ecosystem, but also to operate data production and quality verification processes.One of SAPIEN’s most basic use cases is staking. Contributors can stake SAPIEN to participate in certain tasks and provide quality assurance to the system. This adds economic responsibility to the work users perform.The second use case is the reward mechanism. In Sapien, contributors can earn rewards in SAPIEN or USDC by completing tasks. Rewards may vary depending on the user’s performance, stake amount, task type and quality history in the system.The third use case is connected to the reputation system. In Sapien, simply holding the token is not enough. The user must actually provide high-quality contributions, remain consistent in verification processes and build a reliable profile over time.This structure separates SAPIEN from a classic reward token. The token is used like working capital within the protocol. Access to tasks, quality assurance, reward earning and future participation in governance processes are shaped around this token.Sapien’s tokenomics document states that governance may gradually shift toward token holders and a DAO structure. This means SAPIEN holders may play a greater role in protocol parameters, incentive structures and ecosystem decisions in the future.Another important function of SAPIEN is economic alignment. One of the biggest problems in AI data production is that low-quality contributions can pollute the system. Sapien aims to reduce this problem through stake and slashing.For this reason, the value of the SAPIEN token is theoretically related to task demand in the network, the number of contributors, the need for verification and the extent to which the protocol is used by AI companies.SAPIEN Token EconomicsThe maximum supply of the SAPIEN token has been set at 1,000,000,000. According to the tokenomics document, this supply is fixed and there is no inflationary new mint plan above 1 billion tokens for SAPIEN.The token runs on Base in the ERC-20 standard. Since Base is an Ethereum-compatible Layer 2 network, it allows SAPIEN to be used with low-cost and scalable onchain transactions.SAPIEN distribution is divided into several main categories. 13% of the supply is allocated to Seasonal Airdrops, 7% to liquidity incentives and 5% to staking incentives.The share allocated to backers and investors is 26.82%. The team and advisors receive 20.18%. Contributor rewards receive 15%, while the community treasury receives 13%.This distribution can also be read under two broad categories. 47% of the supply is allocated to protocol development participants, meaning contributors, developers and early backers. The remaining 53% is directed toward contribution incentives such as task rewards, liquidity incentives, airdrops and the community treasury.Token unlocks are an important issue in the tokenomics structure. Seasonal airdrops, liquidity incentives and staking incentives were fully unlocked at TGE. Investor tokens and team and advisor tokens are subject to a 12-month lockup followed by 24 months of linear vesting. Contributor rewards and the community treasury follow a 36-month linear vesting plan. This structure aims to prevent the token supply from entering the market all at once and to preserve long-term ecosystem alignment.In Binance’s spot listing announcement, SAPIEN’s circulating supply at the time of its Binance listing was given as 250,000,000 SAPIEN. This amount corresponds to 25% of the total supply.Sapien’s Use CasesSapien’s most direct use case is AI training data production. For AI models to work better, they need high-quality, contextually appropriate and accurately labeled data. Sapien organizes human contributors around this data need.Data labeling is one of Sapien’s core task areas. Users can perform annotation tasks on text, images, audio, video or more complex data types. These tasks can be used in model training or model evaluation.LLM evaluation is also an important use case. The responses produced by large language models may not always be accurate, safe or contextually appropriate. Sapien’s PoQ structure makes it possible for model responses to be evaluated by independent experts and connected to a quality score.A structure similar to Sapien may also be needed in fine-tuning processes. When an AI model is adapted to a specific field, the quality of the preference data and human feedback used becomes critical. Sapien aims to make the source and reliability of this data more traceable.Source verification for RAG systems is another use case. RAG allows models to generate responses from external information sources. However, whether these sources are reliable is a separate issue. Sapien can provide a trust layer for source quality and human verification.Data quality is also very important in robotics and autonomous systems. An autonomous vehicle’s ability to correctly perceive its surroundings depends on processes such as 3D data, LiDAR segmentation, object tracking and visual labeling. In these areas, faulty data can affect not only model performance but also physical safety.Sapien’s official documents describe a quality signal layer that can be used across different stages of the AI lifecycle, such as training data, fine-tuning, evaluation and production. This shows that Sapien is trying to build a system that can be used not only before model training, but also after a model enters production.Security, audit and compliance areas are also potential use cases for Sapien. Independent evaluation of a security report, model decision or automated agent action may become more important, especially as enterprise AI usage increases.The common point of these use cases is the need for quality and trust. Sapien aims to move human contribution in artificial intelligence systems away from a random and unaudited process and into a more measurable, rewardable and verifiable structure.Sapien’s Developers and CommunityBehind Sapien is a team experienced in crypto infrastructure, data systems, AI workflows and product development. The project’s company page describes the team as a multidisciplinary structure made up of data, AI and product experts.Sapien’s CEO is Rowan Stone. Stone played a role in building Base and worked at Coinbase as Director of Onchain Business Development. During his time at Coinbase, he is said to have worked on the growth of products such as cbETH and USDC.Trevor Koverko serves as Sapien’s CSO. Koverko is known as the founder of Polymath and Polymesh, two projects in the tokenized securities space. He also has experience in crypto staking and market infrastructure through his background with Tokens.com.Kelly Ryan is Sapien’s CTO. Ryan has experience in scalable products, production systems and human-assisted ML workflows. This role shows that Sapien is not only a token-focused project, but also a technology company trying to scale operational data workflows.Chad Lynch serves as Smart Contracts Lead at Sapien. Lynch’s background in DeFi and smart contract security is important for Sapien’s onchain architecture.The Sapien community consists of several different layers. The first layer includes contributors who complete tasks. These users contribute to the system through data labeling, evaluation or tasks requiring expertise.The second layer includes validators. Validators evaluate the outputs produced by contributors according to defined rubrics and help form the quality consensus.The third layer includes developers, institutions and AI teams. These parties can integrate Sapien’s PoQ infrastructure into their own data flows or AI quality control processes.The SAPIEN token is positioned as the economic coordination tool of this community structure. Users join the system by staking, earn rewards as they provide quality contributions and can build a stronger reputation profile over time.Frequently Asked Questions (FAQ)Below are some frequently asked questions and answers about Sapien (SAPIEN):What is Sapien and when did it launch?: Sapien is a decentralized data protocol focused on producing verifiable human knowledge and high-quality training data for artificial intelligence systems. The SAPIEN token’s Token Generation Event took place on August 20, 2025.Who developed Sapien?: Sapien’s leadership team includes CEO Rowan Stone, CSO Trevor Koverko, CTO Kelly Ryan and Smart Contracts Lead Chad Lynch. The team consists of people experienced in crypto infrastructure, AI data systems, product development and smart contract security.What is the SAPIEN token used for?: The SAPIEN token is used for staking, contributor rewards, task access, quality assurance, the reputation system and governance processes in the future. The token is the main tool connecting data quality and economic incentives in the Sapien protocol.What problems does Sapien aim to solve?: Sapien aims to solve problems such as AI data quality, data source verification, measurement of human contribution, lack of transparency in centralized quality control systems and low-quality data production.What is Proof of Quality?: Proof of Quality is the quality verification system Sapien uses for subjective data and expert outputs. In this system, an output is scored by independent validators, a shared quality score is created and the result is connected to an onchain verifiable record.Which network does SAPIEN run on?: SAPIEN is an ERC-20 token that runs on the Base network. Base is an Ethereum-compatible Layer 2 network.When was SAPIEN coin listed?: The SAPIEN token’s TGE took place on August 20, 2025. Binance Alpha and Binance Futures trading started on the same date. The Binance spot listing was announced on November 6, 2025, with the SAPIEN/USDT, SAPIEN/USDC, SAPIEN/BNB and SAPIEN/TRY pairs.What is the SAPIEN token supply?: SAPIEN’s maximum supply has been set at 1,000,000,000 tokens. According to the tokenomics document, this supply is fixed and there is no inflationary new mint plan above 1 billion tokens.For the latest information on Sapien, Proof of Quality and blockchain-based AI data verification projects, follow the JR Kripto Guide series.
Binance will remove spot trading pairs for Alchemix (ALCX), Ardor (ARDR), NFPrompt Token (NFP), and Marlin (POND) on July 10. The exchange said the decision was made as part of its periodic review process, citing factors such as development activity, trading volume, network security, and team transparency that no longer meet its standards.The process will not end in a single day, it will move forward in stages. Margin borrowing will be suspended on June 27, spot copy trading will be closed on July 3, and futures positions will be automatically settled on July 2. Spot trading pairs will be fully removed on July 10 at 06:00 TRT. Binance is leaving a wider window for withdrawals: users will be able to withdraw these tokens until September 9. After that, remaining balances may be converted into stablecoins where possible, but Binance specifically states that this is not guaranteed.How were prices affected?Looking at the recent price movements of the tokens, the picture differs significantly from one asset to another.Alchemix (ALCX) is currently trading at $3.21, down 13% on the day. Its weekly decline is approaching 20%, while the token is down more than 30% on a monthly basis. For a protocol known in DeFi for its self-repaying loan mechanism, this has been a difficult week both in terms of price action and the exchange decision. NFPrompt (NFP) saw the sharpest reaction to the announcement. Its price fell to $0.0068, with a 24-hour loss of 18.70%. The chart clearly shows a steep drop around the time the news was released; markets usually react this way to delisting announcements. Marlin (POND) is trading around $0.0012, with its daily loss approaching 15%. On a weekly basis, the token is also down more than 25%. Ardor (ARDR) recorded the smallest decline among the four tokens. Its price fell to $0.0232, with a 24-hour loss of 6.23%. The weekly decline stands at 14.55%, while the monthly drop has reached 36.83%; the chart has been showing an uninterrupted downtrend for the past month. On the practical side for users, new futures positions will no longer be allowed after July 2 at 11:30 TRT, while existing positions will be automatically closed at 09:00. The margin account process is slightly more complex. Users holding the token as collateral with a collateral margin level (CML) above 2 will have their assets transferred to their spot accounts. If the CML is below 2, the remaining balance will be sold directly. For users with outstanding debt, the system will sell other collateral assets and close the debt automatically.Balances in flexible and locked earn products will be automatically redeemed and transferred to spot accounts on July 3, while mining pool support will end on July 2. As usual, Binance recommends turning off the “hide small balances” setting, otherwise the tokens may not be visible in accounts after the delisting.
Ripple has launched its dollar-backed stablecoin RLUSD in Japan. Following approval from Japan’s Financial Services Agency, the company made the token available to institutional and retail users through its partnership with SBI Holdings and its crypto arm, SBI VC Trade. The launch makes RLUSD the second foreign dollar-denominated stablecoin to receive approval in the country; before it, only USDC was on that list. Jack McDonald, senior vice president of Ripple’s stablecoins unit, said the collaboration with SBI Group would serve as a bridge across payments, tokenization and collateral management, connecting Japanese companies and individuals to global liquidity more efficiently.The JFSA’s approval is more than a routine permission. The agency classified RLUSD as a new type of electronic payment instrument under the Payment Services Act and granted the token “Type 4” electronic payment instrument status, a designation that no other crypto asset in the country currently holds. This category, created by the JFSA specifically for regulated stablecoins, gives RLUSD a clear legal position within Japanese payment law. The token is no longer operating in a zone of regulatory tolerance; it now functions within a legally defined framework.Japan Opened the Door, but Kept It NarrowIn the first phase in Japan, RLUSD transactions have been capped at 1 million yen, or roughly $6,200. This limit is designed to keep early-stage volume low and make monitoring easier. The token is running on Ethereum, not Ripple’s own XRP Ledger. In other words, the first Japanese version of RLUSD has gone live on infrastructure that the company does not directly control.The development in Japan came shortly after Ripple received preliminary approval in Luxembourg under the MiCA framework. Once the CASP license receives final approval, it will grant passporting rights across 30 countries in the European Economic Area. Taken together, the two developments mean Ripple has secured a legal foundation for RLUSD in Japan and much of Europe within a single week.The Approval Signal the Industry Has Waited for Over the Past DecadeThe stablecoin sector spent much of the past decade growing by moving around regulators. Issuers managed reserves from offshore locations, structured themselves in jurisdictions with lighter oversight and often faced enforcement only after the damage had already been done. RLUSD has tried the opposite route. It has secured licensing from two of the industry’s most important regulatory regimes; Japan and the European Union sit at the top of that list.This is where the real significance begins to take shape. A dollar stablecoin approved by both the JFSA and MiCA is not a temporary workaround built to avoid supervision. It becomes a product that banks and regulated exchanges can hold without taking on unnecessary legal risk. In Japan, SBI’s role as distributor places RLUSD not in front of a narrow crypto-native audience, but in the hands of an established financial player. The 1 million yen cap and Ethereum-based infrastructure show how cautiously Japan is taking this step; still, the direction is now clear. The industry has argued for years that it can operate within the rules. Two strict approvals in one week create a data point that is much harder to dismiss than another offshore launch.What remains is the question of usage. Convincing regulators was, on paper, the hardest part. Whether RLUSD can generate real volume in both regions is still untested.
OpenGradient is a blockchain infrastructure that aims to run artificial intelligence models on a decentralized network and make these processes verifiable. The project’s native asset, OPG, is used within the network for payments related to artificial intelligence inference, enabling model developers to generate revenue, rewarding node operators, staking, ecosystem incentives and governance processes.The main starting point of OpenGradient is the growing problem of trust and transparency in artificial intelligence infrastructure. Today, many artificial intelligence applications operate through the application programming interfaces of centralized service providers. Users often cannot independently verify which model is being used, whether the model output has been altered or which system commands are running in the background.OpenGradient seeks to solve this problem by bringing blockchain and artificial intelligence together within the same infrastructure. The project aims not only to run artificial intelligence models, but also to make the process of running these models provable. In this respect, OpenGradient is positioned less as a conventional artificial intelligence token and more as a verifiable artificial intelligence inference infrastructure.Definition and Emergence of OpenGradientOpenGradient is a decentralized artificial intelligence infrastructure that brings together AI and blockchain technologies. The project aims to run machine learning models, large language models and AI agents in a secure, auditable and verifiable way. To understand OpenGradient, it is necessary to understand the concept of “inference.” Inference refers to the process through which an artificial intelligence model produces an output based on a given input. When a user sends a message to an AI chatbot, when a DeFi application performs risk analysis or when an AI agent makes an on-chain transaction decision, an inference process runs in the background.In traditional AI services, this process takes place on centralized servers. The user usually sees only the result. OpenGradient, on the other hand, wants to make this process more open and verifiable. Whether a model has actually been run, which outputs were produced and whether the process is reliable can be supported by blockchain-based proofs.For this reason, OpenGradient’s goal is not merely to host AI models. The project seeks to turn the process of running AI models into a reliable infrastructure for Web3 applications. This structure becomes especially important in areas where the margin for error must be low, such as finance, data analysis, automation, governance and AI agents.The Purpose Behind OpenGradient’s EmergenceThe main idea behind OpenGradient’s emergence is that artificial intelligence should not be limited to closed and centralized infrastructures. AI models are becoming increasingly involved in decision-making processes. Despite this, users often cannot verify how these decisions are produced.This becomes an even more critical problem in the Web3 world. If an AI agent manages a wallet, creates a DeFi strategy, performs on-chain transactions or makes automated decisions on behalf of a user, the model output behind that decision must be verifiable. Otherwise, the user is forced to rely solely on the service provider’s statement.At this point, OpenGradient highlights the idea of “verifiable AI” instead of “trust-based AI.” The project aims to benefit from the auditability provided by blockchain infrastructure while keeping the performance of AI applications as fast as centralized services.What Does the HACA Architecture Mean?At the center of OpenGradient’s technical structure is the Hybrid AI Compute Architecture, or HACA. This architecture separates the part where AI inference is executed from the part where verification takes place.In traditional blockchain networks, every validator is expected to re-execute the same transaction. This model is suitable for token transfers or simple smart contract transactions. However, the same method is not practical for artificial intelligence models. Large models require GPUs, processing takes longer and outputs are not always as predictable as simple financial transactions.OpenGradient tries to solve this problem through different types of nodes. Inference nodes run AI models. Full nodes take part in the proof and settlement processes. Data nodes provide secure access to external data sources. In this way, each node type focuses on its own task and the entire network is not forced into a single verification model.Thanks to this structure, the user can receive the artificial intelligence output at a speed close to that of a centralized application programming interface. The verification, proof or attestation process is then completed on-chain. This creates an attempt to balance transaction speed and verifiability. What Is the OPG Token?OPG is the native token of the OpenGradient network. The token’s main function is to enable the economic flow within the network. Users or applications that want to run AI models can pay with OPG. Model developers can generate revenue as their models are used. Node operators can be rewarded for the computation and verification contributions they provide to the network.OPG is also used in staking and governance processes. This structure aims to move the token beyond being merely a market asset that is bought and sold. Within the OpenGradient ecosystem, the value of the token is linked to AI usage demand on the network and developer activity.The total supply of the token has been set at 1 billion OPG. According to the official token economy structure, 40 percent of the supply is allocated to ecosystem growth, 15 percent to the foundation, 15 percent to the core contributor team, 10 percent to investors and advisors, 10 percent to staking rewards, 6 percent to liquidity provision and the launch process, and 4 percent to the airdrop.Use Cases of OpenGradientOpenGradient’s use cases are concentrated in areas where AI and Web3 come together. DeFi protocols can benefit from AI models for risk analysis. Wallet applications can offer users personalized transaction assistants. AI agents can perform on-chain actions in a more auditable way.From the perspective of model developers, OpenGradient provides an infrastructure that allows models to be shared on an open network and generate revenue. Developers can host their models through Model Hub, create new versions of those models and make them available for other applications.Products such as OpenGradient’s MemSync focus on long-term memory and context management in AI applications. This structure can help AI assistants better preserve user context across sessions. The project’s broader vision includes not only running AI models, but also building a user-controlled and verifiable AI experience.OpenGradient’s History: Key MilestonesOpenGradient emerged at a time when AI infrastructure was becoming increasingly concentrated around a few large centralized providers. The project was built on the idea that artificial intelligence models should run on an infrastructure that is more open, portable, verifiable and accessible to developers.OpenGradient’s early work focused on the question of how AI models could be integrated into blockchain applications. During this period, the project moved toward developing technical tools that developers could use, rather than simply creating a token economy.This approach is one of the elements that separates OpenGradient from many speculative projects in the AI x crypto space. Instead of building its narrative solely around the artificial intelligence trend, the project builds it around infrastructure topics such as inference, model hosting, verification, node architecture and developer tools.Model Hub and Developer InfrastructureOne of OpenGradient’s important components is Model Hub. Model Hub functions as a decentralized repository for AI models. Developers can discover, share and run models through the OpenGradient network.This structure can be seen as a Web3-compatible alternative to traditional model platforms. Model files, versions and usage processes are moved to a more permanent and auditable infrastructure. In this way, model developers can take part in a more open economy where they can generate revenue from the use of the models they create.OpenGradient also makes it easier for developers to access the network through tools such as the Python SDK. This is important for the project’s real usage potential. The success of an infrastructure project is measured not only by the number of exchanges on which its token is listed, but also by how easily developers can build applications on that infrastructure.Whitepaper and the Clarification of the Technical ArchitectureOpenGradient Foundation more clearly laid out the project’s architecture in the technical documents it published in 2026. These documents detailed the HACA structure, the specialization of nodes in different tasks, verification methods, the on-chain settlement of proofs and the OPG token economy.The main idea highlighted in these documents is that artificial intelligence workloads cannot be treated in the same way as traditional blockchain transactions. Token transfers and simple smart contract calls can be re-executed by every validator. However, this method is not efficient for large artificial intelligence models. For this reason, OpenGradient proposes an architecture that separates the execution and verification processes.Different methods can be used on the verification side. TEE, which can be translated as a trusted execution environment, focuses on proving that the model ran in a secure hardware environment. ZKML, meaning zero-knowledge machine learning, can provide stronger assurance, but its cost and processing load are higher. For lower-risk applications, lighter methods such as signature verification may be preferred.The Launch of the OPG TokenOPG token entered the market in 2026 as the economic layer of the OpenGradient ecosystem. The token’s total supply was set at 1 billion. In the token economy structure, ecosystem growth received the largest allocation, while the foundation, core contributor team, investors, staking rewards, liquidity provision and free token distribution were defined as separate categories.During the initial launch process, the tokens allocated for liquidity provision and free token distribution were fully released. Ecosystem and foundation allocations, however, follow a gradual unlocking schedule. The core contributor team and the investors and advisors categories stand out with a 12-month waiting period followed by a 36-month regular unlocking structure.This structure causes OPG’s circulating supply in the early period to remain lower than the total supply. The fact that circulating supply will increase over time is an important data point for investors to monitor. Especially in newly launched tokens, price can be sensitive not only to the demand side, but also to upcoming token unlocks.Binance Listing and Market VisibilityOne of the most important milestones that increased OpenGradient’s market visibility was its Binance listing. Binance announced that it would open OPG/USDT, OPG/USDC and OPG/TRY trading pairs for OPG on May 22, 2026. The same announcement also stated that a Seed Tag would be applied to OPG.Seed Tag is a label used by Binance for newer projects that carry higher volatility risk. For this reason, OPG’s listing on Binance increased access to the token, while also showing that investors need to pay attention to risk management. In its announcement, Binance described OpenGradient as a decentralized infrastructure network designed to host, run and verify AI models at scale.OPG Price HistoryAfter entering the market, OPG traded with the high volatility often seen in new AI tokens. Data as of June 25, 2026 showed the OPG coin price at around $0.15 to $0.16, while its all-time high was recorded at around $0.47 in April 2026. Why Is OpenGradient Important?The main reason OpenGradient is important is that it focuses on the problem of verifiability in artificial intelligence. AI models are no longer used only in chatbots. They are becoming part of decision-making processes in many fields, including financial analysis, health assessment, content moderation, automation, cybersecurity, data processing and investment strategies.In these areas, how a model output is produced matters greatly. If an AI system uses the wrong model version, alters the output or applies a filtering process that is not visible to the user, the consequences can be serious. In centralized AI services, most of these processes cannot be controlled by the user.OpenGradient tries to bring blockchain-based auditability to the AI inference process. The goal is for the model output not to come merely from an application programming interface that is assumed to be reliable, but from a process that is technically verifiable.The Need for Secure Infrastructure for AI AgentsAI agents are one of the most important use cases targeted by OpenGradient. An AI agent is a software system that can carry out certain tasks on behalf of a user. In the future, these agents may manage wallets, perform on-chain transactions, monitor DeFi positions or run automated strategies.At this point, the trust problem becomes more visible. If an AI agent is acting on a user’s assets, it must be verifiable which model it is acting on and which data its decisions are based on. Otherwise, the user effectively entrusts their assets to an invisible decision-making mechanism.OpenGradient’s architecture aims to make such agents more auditable. When the model output, data source and verification process are connected to each other, it may become possible to use AI agents more safely in on-chain applications.An Alternative to Centralized AI InfrastructureAnother important aspect of OpenGradient is its claim to offer an alternative to centralized AI infrastructure. Today, most AI applications run through APIs provided by a few major technology companies. These services are powerful, but they are closed. Users and developers often cannot control changes in model behavior or data usage policies.OpenGradient aims to move AI models to a more open and portable infrastructure. Model Hub, decentralized storage, node-based inference and verification mechanisms are parts of this goal. This structure can help developers build AI features without being fully dependent on a single centralized provider.This does not mean that centralized services will disappear entirely. OpenGradient’s approach is more about building a secure and verifiable alternative layer for AI applications. This layer is especially important for Web3 applications, because users already come to this ecosystem with expectations of decentralized ownership, transparency and auditability.Its Importance for DeFi and Financial ApplicationsThe increasing use of AI in DeFi may increase the importance of projects such as OpenGradient. AI models can be used in areas such as risk analysis, credit scoring, liquidation forecasting, market data interpretation and portfolio automation. However, the outputs of these models have financial consequences.If a DeFi protocol determines a risk parameter based on an AI model, it needs to be proven that the model is working correctly. If an AI agent manages a user’s position, the decisions it makes need to be traceable. OpenGradient’s verifiable inference approach can provide infrastructure for such use cases.For this reason, OpenGradient’s potential does not depend solely on general interest in AI. The project seeks to provide a technical layer that allows AI to be used reliably in financial and on-chain applications.An Open Economy for Model DevelopersAnother factor that increases OpenGradient’s importance is that it offers a new revenue model for model developers. In the traditional AI ecosystem, models are usually shared on centralized platforms or used within closed services. A model creator’s ability to generate revenue often depends on platform rules.OpenGradient Model Hub gives model developers the ability to offer their models on a decentralized network. When a model is used, this usage can be reflected in the network economy. OPG token comes into play at this point as a payment and incentive tool.In the long run, this structure can create a more open AI model marketplace. Users can discover different models, developers can open their models to a wider ecosystem and applications can access the AI capacity they need in a blockchain-compatible way.OpenGradient’s Developers and CommunityAccording to OpenGradient’s official team page, the project’s CEO and co-founder is Matthew Wang, while its CTO and co-founder is Adam Balogh. Matthew Wang’s background includes quantitative research at Two Sigma and software engineering experience at Google, Facebook and NASA. Adam Balogh has technical leadership experience on the Palantir Artificial Intelligence Platform, as well as experience at Google and Amazon.The team includes people with experience in AI research, cryptography, blockchain engineering, large-scale software systems and product development. This is important for OpenGradient’s technical character. The project is not built solely on crypto marketing, but on complex technical fields such as AI infrastructure and verifiable computation.It should also be noted that the team page highlights experience from companies such as Palantir, Google, Meta and Two Sigma.Community and Developer EcosystemThe OpenGradient community consists of developers, model creators, node operators, AI researchers, investors and Web3 users. The long-term success of the project depends on how active these groups are.For an AI infrastructure project, community does not mean only social media followers. More important indicators include how many developers use the SDK, how many models are added to Model Hub, how many applications run inference on OpenGradient and how the network’s real usage volume grows.For this reason, developer metrics should be examined alongside community metrics when tracking OpenGradient. GitHub activity, documentation updates, model count, inference count, node participation and ecosystem announcements can provide more meaningful signals about the health of the project.Frequently Asked Questions (FAQ)Below are some frequently asked questions and answers about OpenGradient:What is OpenGradient? OpenGradient’s early development and DevNet process came to the fore in 2024. The OPG token was launched in 2026 and began listing on major exchanges in the same year.When was OPG coin listed? OPG began listing on centralized exchanges in 2026. Binance announced that it would open OPG/USDT, OPG/USDC and OPG/TRY trading pairs on May 22, 2026.Who developed OpenGradient? According to OpenGradient’s official team information, the project’s CEO and co-founder is Matthew Wang, while its CTO and co-founder is Adam Balogh. The team includes people experienced in AI, blockchain, cryptography and large-scale software infrastructure.What is OPG token used for? OPG token is used as a payment, incentive and governance tool in the OpenGradient ecosystem. Users can pay with OPG to run AI models, model developers can earn revenue from the use of their models and node operators can be rewarded for their contributions to the network.What problem does OpenGradient aim to solve? OpenGradient aims to solve the trust and verifiability problems seen in centralized AI services. It aims to allow users to technically verify that an AI model has actually been run, that the output has not been altered and that the process is reliable.How does OpenGradient work? OpenGradient uses an architecture called Hybrid AI Compute Architecture, or HACA. This structure separates the inference process, where the AI model is run, from the verification process. In this way, AI operations can be executed faster while being made verifiable through proof and attestation mechanisms.What is the total supply of OPG token? The total supply of OPG token is 1 billion. This supply is divided into different categories such as ecosystem, foundation, core contributors, investors, staking rewards, liquidity and airdrop.Why is OpenGradient important? OpenGradient is important because it focuses on the problem of verifiability in artificial intelligence. As AI models are increasingly used in finance, data analysis, automation and Web3 applications, verifying how these models work and which outputs they produce becomes more critical.Follow the JR Kripto Guide series for the latest information about OpenGradient, OPG and blockchain-based artificial intelligence infrastructures.
Geoff Kendrick, head of digital assets research at Standard Chartered, has initiated coverage of decentralized lending protocol Aave and set a price target of $3,500 for the token by the end of 2030. The target implies an increase of roughly 50x from AAVE’s current level of around $70.According to Kendrick’s report, if this forecast materializes, Aave will outperform both bitcoin and ether over the same period. The analyst said the protocol has moved past the cyber theft incident that took place in April and that assets have started returning to the platform. Kendrick believes Aave is well positioned to maintain its dominance in on-chain lending.The April incident, which shook the sector, began with the collapse of KelpDAO’s rsETH bridge. Attackers used around $290 million worth of stolen tokens as collateral on Aave to borrow real assets. This exposed Aave to a potential loss risk of up to $230 million, triggered panic withdrawals among depositors and showed how a vulnerability in one protocol can spill over into the broader DeFi ecosystem.Aave’s Revenue Is Growing RapidlyKendrick compared Aave to a blockchain-based automated bank that operates without employees or human decision-making. At its peak in October 2025, the protocol held around $75 billion in deposits; the analyst said this figure would place it among the 30 largest banks in the United States.The numbers support this picture. Aave generated $907 million in revenue during 2025 and has already added another $333 million in 2026. Behind this increase is a structural change. With the “Aave Will Win” proposal, which passed in April 2026 with around 75% support, all of the protocol’s revenue streams began flowing into the DAO treasury. Protocol fees that were previously tracked at around $140 million are now consolidated under a single accounting view.The protocol’s GHO stablecoin also contributes to revenue. It generated more than $14 million in annualized revenue by the end of 2025, and this revenue stream operates largely independently of broader market volatility. By the end of 2025, Aave controlled 61.5% of active loans in the decentralized lending sector and 52.4% of total value locked. The protocol’s total value locked across chains remains above $20 billion.Institutional Interest Is RisingIt is not a coincidence that one of the world’s largest banks has initiated research coverage of a DeFi protocol. Standard Chartered’s report highlighted that Aave came through the $292 million sector-wide exploit in April 2026 without suffering a serious protocol failure.Kendrick expects the value of tokenized real-world assets used in DeFi applications to increase 37-fold by the end of the decade. Since Aave’s revenue model is directly linked to lending activity and deposits, the bank believes the protocol’s growth will also be reflected relatively directly in the AAVE token. The report also pointed to the potential restart of Aave’s token buyback program as another catalyst. Horizon, an initiative designed to support permissioned lending against tokenized real-world assets, could accelerate adoption by attracting traditional financial institutions.Risks Remain on the TableStandard Chartered’s decision to initiate coverage also has a practical implication for institutional investors. Institutional buyers that require a research basis before investing now have such a source. This removes a bureaucratic barrier that may have previously kept some capital on the sidelines.However, risks should not be ignored. DeFi lending protocols inherently carry smart contract risk, oracle risk and governance risk. The $292 million sector-wide exploit in April 2026, even though Aave was not directly affected, served as a reminder of the category’s structural vulnerabilities. Governance concentration is another factor to watch. The “Aave Will Win” proposal passed with 75% support, but in most protocols, DAO participation rates remain low enough for a relatively small group of large token holders to influence outcomes.Despite the recent weakness in the broader crypto market, the report added that the backdrop for digital asset prices is improving and that Aave is expected to be among the beneficiaries as capital returns to DeFi. AAVE is trading at around $76, up 5% over the past 24 hours.
Japanese financial giant SBI Holdings launched the trust-based stablecoin JPYSC on Wednesday together with Singapore-based fintech company Startale Group. The launch marks an important step in Japan’s stablecoin regulatory process, which has gained momentum in recent years.According to the announcement, SBI carried out the first issuance of JPYSC today. The issuance process is managed by SBI Shinsei Trust Bank, while distribution is handled by the licensed crypto exchange SBI VC Trade. This division of responsibilities between the two institutions also shows how the stablecoin’s trust structure will work in practice: reserve assets are held on the banking side, while user access is provided through the exchange.SBI described JPYSC as follows: “JPYSC represents Japan’s first example of a trust-based stablecoin structure in which reserve assets are managed by a trust bank. Unlike previously issued fund transfer-type stablecoins, JPYSC is not subject to the 1 million yen transaction and balance limits that apply to those instruments.”This point is especially important because previously launched fund transfer-type stablecoins in Japan were not practical for institutional use due to this restriction. JPYSC’s trust structure removes that limit, making the stablecoin usable for both individual users and large-scale institutional transactions.Focus on Low Costs and Institutional UseThe company expects JPYSC to attract both retail and institutional users thanks to its low transaction costs and support for block trading. According to SBI, the stablecoin’s potential use cases include serving as a yen-denominated base asset in on-chain foreign exchange markets, institutional lending transactions and the settlement of tokenized real-world assets.These use cases show that JPYSC is intended to be more than just a payment tool. The aim is to position it as part of institutional financial infrastructure. In particular, the emphasis on a “yen-denominated base asset” suggests that SBI wants to position the stablecoin as a reference asset for currency pairs and derivative transactions.For now, JPYSC is only accessible through SBI VC Trade accounts. The company links this limitation to the fact that the stablecoin’s regulatory and tax status has not yet been fully clarified. The differences between Japan’s tax regime for crypto assets and the expected regime for stablecoins will determine how long this clarification process may take. SBI VC Trade is also planning to launch a lending service based on JPYSC in the near future, which indicates that the stablecoin may also open up to DeFi-like use cases.The First of Its KindSBI announced that JPYSC is the first yen stablecoin in Japan backed by a trust bank. It also said that JPYSC is the first stablecoin to be classified as an electronic payment instrument under the Payment Services Act. This classification places JPYSC in a different category under Japanese law and separates it from previous stablecoin arrangements.The company summarized its goal as follows: “JPYSC aims to establish a yen-denominated settlement and liquidity infrastructure for domestic and international on-chain financial markets.” This statement shows that SBI does not intend to limit the project to Japan’s domestic market alone, but is also targeting cross-border use cases.Japan’s Stablecoin Push ContinuesJapan has been taking steps in recent years to integrate regulated stablecoins into the mainstream financial system. Last October, Japanese authorities approved fintech company JPYC’s stablecoin of the same name as the country’s first legally recognized yen-backed stablecoin.The launch of JPYSC shows that this trend is continuing and that different institutions are trying to enter the market through different structures. While JPYC operates under a fund transfer model, JPYSC uses a trust model. This indicates that Japanese regulators are allowing multiple stablecoin structures to develop at the same time.This competition is not limited to fintech companies. Japan’s three megabanks, MUFG, SMBC and Mizuho, are currently working on a joint stablecoin project. Earlier this month, the banks announced that they plan to begin live commercial stablecoin transactions during the 2026 fiscal year.
Chainlink has launched a cross-border foreign exchange initiative called Project Pangea together with 47 South Korean and European banks whose combined assets exceed $10 trillion. The project aims to settle institutional FX transactions almost instantly.The initiative brings Chainlink together with two banking groups, Qivalis and UniKA. Qivalis is a euro stablecoin consortium made up of 37 European banks. UniKA is an alliance that includes more than 10 South Korean commercial banks.The Target Is a Shift From T+2 to T+0Foreign exchange transactions are currently usually settled within 48 hours, a process known in the industry as T+2 settlement. Project Pangea aims to reduce this period to nearly zero, targeting T+0 settlement. It plans to do this through regulated stablecoins pegged to the euro and the South Korean won.The technology behind the system is called atomic payment-versus-payment settlement. Both sides of an FX transaction are completed at the same time; if one side fails, the other does not go through either. This removes the risk that one party sends the money while the other fails to complete the payment.European banks will initiate transactions through Swift, the messaging system they have used since the 1970s. Chainlink’s infrastructure will convert these messages into atomic swaps running on an independent blockchain called the Pangea L1 Network. No major system overhaul is required on the banking side; the project is designed to work in compliance with Swift and ISO 20022 standards.Niki Ariyasinghe, Chainlink’s head of Asia Pacific and the Middle East, said the group aims to begin live transactions within 12 months under a legal and regulatory compliance framework.A $150 Billion Trade CorridorThe project targets the Europe-South Korea trade corridor, which handles more than $150 billion in goods and services annually. This corridor ranks among the world’s top 15 trade routes. According to industry data, 60% of global stablecoin payments take place in Asia; Ariyasinghe said this points to infrastructure gaps in emerging financial ecosystems.LINK Price Fails to Capture Institutional MomentumChainlink’s institutional partnership list in 2026 is not limited to Project Pangea. In May, DTCC selected Chainlink’s Runtime Environment for its Collateral AppChain, a platform that automatically manages collateral pricing, margin and settlement. DTCC processed roughly $4.7 quadrillion in securities transactions in 2025.Robinhood chose Chainlink as the oracle provider for Robinhood Chain, its Ethereum Layer 2 network built on Arbitrum. In the first quarter of 2026, Amundi and Spiko launched a tokenized investment fund using Chainlink technology; the fund attracted more than $400 million in assets within three weeks.In December 2025, Chainlink worked with 24 financial institutions, including DTCC, Swift, Euroclear, UBS and BNP Paribas, to develop infrastructure for corporate actions processing, an area that costs the industry around $58 billion per year.In the first quarter of 2026, U.S. regulators the SEC and CFTC classified LINK as a digital commodity. In April 2026, Chainlink became available on AWS Marketplace, giving millions of developers access to data streams, data feeds and proof-of-reserve tools.Despite all these partnerships, LINK remained trapped in the $8 to $10 range for much of 2026. At the end of April, the token was trading at $9.23 after rising 9.5% over the previous 30 days; however, this still marked a 36.6% decline from the previous year. LINK remains about 82% below its all-time high of $52.70, reached in May 2021. Spot ETF inflows for LINK rose from $10.82 million in March to $11.08 million in April. This marked the first monthly increase since the $59.16 million peak recorded in December.The gap between the scale of Chainlink’s technology usage and the token’s price remains striking. The company’s total transaction volume has surpassed $28 trillion. Its Cross-Chain Interoperability Protocol handles around $90 million in token transfers per week, while tokenized real-world assets built on Chainlink reached $27 billion in 2026. For investors, the question remains the same: if institutional adoption is expanding this much, why is the price not reacting?
Global asset management giant Franklin Templeton has expanded its institutional growth strategy in the cryptocurrency market with a new step. The company has completed its acquisition of 250 Digital, which operates in active crypto investment management, and officially established a new dedicated digital asset management unit called Franklin Crypto.According to Franklin Templeton’s statement, Franklin Crypto will offer actively managed cryptocurrency strategies to institutional investors. The new unit will combine the crypto investment expertise of the 250 Digital team with Franklin Templeton’s global distribution network. This structure shows that the company does not want to limit its digital asset strategy to passive products alone, and is instead moving toward a more selective, strategy-driven investment model.Franklin Templeton, which manages approximately $1.78 trillion in assets, has become increasingly visible in the digital asset space in recent years. The company had already been working to build a strong position in the sector through spot crypto ETFs, tokenization initiatives and blockchain-based fund infrastructure. The completion of the 250 Digital acquisition now shows that this strategy is being extended into active investment management.250 Digital Team Joins Franklin CryptoAs part of the acquisition, 250 Digital’s entire investment team has joined Franklin Templeton. The statement also noted that the liquid cryptocurrency strategies previously managed by the team under CoinFund have been transferred to Franklin Crypto. This positions the new unit not only as an advisory or research-focused structure, but as a division with direct portfolio management and active strategy development capabilities.Franklin Templeton will also invest its own capital in these liquid strategies as part of the transaction. This detail shows that the company is not merely providing operational support to the newly formed unit, but is also demonstrating financial commitment to its strategies. For institutional investors, such a move can be seen as a sign of the manager’s confidence in its own products. Two well-known names from the crypto industry will lead the new division. Christopher Perkins will serve as Head of Franklin Crypto, while Seth Ginns will serve as the unit’s Chief Investment Officer. They will be joined by Tony Pecore, an experienced figure on Franklin Templeton’s digital asset investment side. Franklin Crypto will operate under Sandy Kaul, the company’s Head of Innovation.Institutional Investor Demand in FocusThe launch of Franklin Crypto also reflects the changing approach of major asset managers toward the cryptocurrency market. In recent years, institutional access to crypto has become significantly easier through spot Bitcoin and Ethereum ETFs, but demand in the market is no longer limited to passive products that simply track prices. More sophisticated investors are also showing interest in actively managed strategies built around market cycles, liquidity conditions, token economics and risk management.Franklin Templeton’s move aims to respond directly to this need. Through Franklin Crypto, the company will seek to bring a more traditional asset management discipline to the cryptocurrency market. Elements such as active portfolio management, fundamental research, risk control and institutional reporting could play a decisive role in offering crypto strategies to a broader investor base.A Strategy Beyond ETFsFranklin Templeton already had a separate structure focused on research, active portfolio construction and institutional risk oversight in digital assets. Franklin Crypto now adds a more specialized layer to this infrastructure, directly focused on cryptocurrency strategies.
Binance is adding four new trading pairs to its Spot market under its tokenized stock product family, bStocks. The exchange announced that Advanced Micro Devices (AMDB), iShares MSCI South Korea ETF (EWYB), Intel (INTCB), and Strategy (MSTRB) bStocks will begin trading against USDT on June 23, 2026, at 4:30 p.m. Türkiye time. Spot Algo Trading Bots will also be enabled for the same pairs. bStocks are tokenized securities issued by BTech Holdings Limited, a subsidiary of the Binance group. These products are offered under a prospectus approved in Abu Dhabi Global Market (ADGM) and are not being offered in any other jurisdiction. There is one important detail: bStocks do not represent direct ownership of the underlying shares. They are classified as “certificates representing certain financial instruments” under paragraph 92 of Schedule 1 of the FSMR, meaning investors gain an entitlement to the underlying securities held with the issuer, but do not become shareholders of the company.For the four newly listed pairs, Binance will apply zero maker fees during a promotional period that will run until September 1 at 2:59 a.m. Türkiye time. This may create a cost advantage, especially for users relying on algorithmic and high-volume trading strategies.The conversion mechanism also stands out. Users will now be able to convert their real shares into bStocks at a 1:1 ratio with zero fees. Deposits and withdrawals for all four tokens will open on June 23, 2026, at 5:40 p.m. Türkiye time. All bStocks are managed through smart contracts on BNB Smart Chain; each token has a separate contract address, and these addresses can be verified through BscScan.Binance also highlighted several risk warnings in its announcement. bStocks investors are exposed to liquidity risk, issuer risk, custody risk, broker risk, operational and technological risks, regulatory risk, and tax risk. The exchange urges users to review the relevant prospectus, which is available only to users located in ADGM, as well as the risk disclosure statement, terms of use, and securities trading product terms before trading.The geographical restrictions are also clear. bStocks are not offered in the United States or for the account or benefit of U.S. persons. These products are not registered under the U.S. Securities Act of 1933 or any state securities law, and no public offering is being made outside ADGM. Binance also emphasized that users’ eligibility to trade may vary depending on their country or region, and that the list of restricted jurisdictions may be updated in line with applicable regulations. Users who want to trade these pairs must also complete account verification.On the Margin Side: Two New Pairs for XLMBinance also made a move on the Margin side on the same day. The exchange opened the XLM/U and XLM/USD1 pairs for Cross Margin trading on June 23, 2026, at 11:00 a.m. Türkiye time. Binance warned that newly listed pairs generally tend to show volatility and called on users to apply strict risk management. Details on margin data, collateral ratios, and current rates are available on Binance’s Margin Data page.
Money transfer giant MoneyGram has taken another step forward in its crypto expansion. The company has started operating as a validator on the Solana blockchain and joined the Solana Developer Platform. This means MoneyGram now runs validators on three different networks at the same time.MoneyGram Chooses SolanaGlobal payments company MoneyGram has officially become a validator on the Solana blockchain and joined the Solana Developer Platform. This marks the company’s third validator operation after Tempo and Midnight Network.MoneyGram CEO and Chairman Anthony Soohoo explained the reasoning behind the move in a statement: “Blockchain infrastructure is becoming increasingly important for global payments. We believe institutions that rely on these networks should also contribute to their security and long-term development.”Becoming a validator gives MoneyGram the ability to stake SOL, validate transaction blocks and directly contribute to the security of the network. Membership in the Developer Platform also means access to financial product development tools on Solana, alongside institutions such as Mastercard.MoneyGram’s blockchain history is not new. The company’s MGUSD stablecoin was built in collaboration with Stripe’s Bridge, Crossmint, Fireblocks, M0 and Stellar. Soohoo recalled that since 2021, the company’s partnership with Stellar has introduced stablecoin cash-in and cash-out points, the MoneyGram Ramps API and in-app stablecoin balances. With its recent partnership with Kraken, MoneyGram has also expanded its off-ramp services.“We have been building real-world payment solutions with blockchain and stablecoins for more than five years,” Soohoo said. “We never saw blockchain as an end in itself; we saw it as a tool that makes money transfers faster and simpler.”The Ripple experience is also part of this story. MoneyGram signed an agreement with Ripple in 2019 and used RippleNet’s XRP-based On-Demand Liquidity product. According to Ripple, the two companies reached billions of dollars in transaction volume during this period. Ripple also paid MoneyGram millions of dollars in fees as part of its expansion into new markets.The partnership was suspended in 2021 after the SEC filed a lawsuit against Ripple. The SEC alleged that the company had conducted a $1.3 billion unregistered securities offering through its XRP sales. The case was finally closed last year. The 2023 ruling that XRP itself is not a security and that sales on public exchanges did not violate the law remained in place, but Ripple’s direct sales to institutional investors were found to have violated the law. Ripple had previously said both companies were open to working together again in the future. When Soohoo was asked about the possibility of a new partnership with Ripple, his answer was brief: “We cannot comment on potential future partnerships at this time.”At the time of writing, SOL price is around $74.34.
