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The first trading day of July brought a mixed picture for spot crypto ETFs traded in the United States. While Bitcoin and XRP funds saw outflows, investors preferred to increase their positions in Ethereum and Solana. This divergence across the four assets suggests that investors entered July with mixed risk appetite. The size of the outflow from Bitcoin was especially notable, as it showed that the inflow trend seen in recent weeks had been interrupted, at least in the short term.Third Daily Outflow for BitcoinSpot Bitcoin ETFs closed July 1 with net outflows of $294.62 million. This marked one of the largest single-day outflows seen in recent weeks. Considering that institutional investors had largely added money to these funds throughout June, the pullback at the start of the month stood out. It is also worth noting that Bitcoin fell as low as $58,000 toward the evening yesterday. As shown in the chart below, the price move was sharp: Daily swings of this kind are not exactly new for the market. Since their launch, Bitcoin ETFs have experienced several similar days of sharp outflows, only to recover within a few days. Still, a figure approaching $300 million shows that short-term investors entered July with a more cautious stance.Ethereum Returns to Positive TerritoryEthereum ETFs recorded $14.89 million in net inflows on the same day. Unlike the outflows seen in Bitcoin, interest in Ethereum funds has remained relatively steady recently. This has also led to comments that some investors may be shifting their portfolios from Bitcoin toward Ethereum, although it is still too early to speak of such a rotation based on a single day of data.A Modest but Positive Picture for SolanaSolana ETFs ended the day with $521,000 in net inflows. The figure is small, but given Solana’s relatively new position in the spot ETF market, a consistently positive trend remains an important signal. Although total fund size is still far behind Bitcoin and Ethereum, the fact that daily flows have not turned negative shows that demand for Solana funds remains alive.Limited Outflow in XRPXRP ETFs saw net outflows of $1.86 million. This figure remains quite small compared with the outflow from Bitcoin and does not point to a trend reversal on its own.Looking at the broader picture for the day, the key takeaway is clear: some of the capital leaving Bitcoin and XRP funds was likely pulled from the market due to profit-taking or short-term risk reduction. The positive flows into Ethereum and Solana, meanwhile, show that interest in these two assets remains alive, at least for now.
Futures trading in the crypto market remained largely the stronghold of centralized exchanges for a long time. When users wanted to trade with leverage, take positions against price declines, or try more active strategies, they mostly turned to platforms such as Binance, Bybit, or OKX. SynFutures is one of the projects that aims to bring this habit onchain. The protocol allows users to open perpetual futures contracts, meaning futures products with no expiry date, on different assets, create new markets, and provide liquidity, meaning they can add capital to trading pools and help those markets function.The F token aims to ensure that this structure does not remain limited to trading alone and gradually evolves into a more community-focused model. In this guide, we will look at what SynFutures is, what the F token does, how the project works, and why it stands out in the decentralized derivatives market.Definition and Origin of SynFuturesSynFutures is a DeFi protocol developed for decentralized derivatives trading. DeFi refers to financial applications that operate without the need for a central intermediary. SynFutures focuses on perpetual futures. These products differ from traditional futures contracts because they do not have a fixed expiry date. A user’s position can remain open as long as they do not close it, maintain enough collateral, and avoid liquidation.Thanks to this structure, users can take long or short positions on the price of an asset. A long position refers to a trade opened with the expectation that the price will rise. A short position represents the expectation that the price will fall. Since leverage can also be used, the trading experience is different from spot trading, meaning instant buying and selling, and carries higher risk. Leverage can increase potential gains, but it can also amplify losses at the same pace.SynFutures’ main claim is that it can open trading markets not only for major coins such as Bitcoin or Ethereum, but also for many assets that have price data. These assets may include altcoins, indices, real-world assets, or tokenized financial products. In this respect, the project highlights the idea of a “futures market for every asset.” This allows users to trade more niche assets onchain, including assets that are not always listed on centralized exchanges.At this point, it would be incomplete to think of SynFutures as a simple DEX. DEX stands for decentralized exchange and generally allows users to swap tokens with their wallets. SynFutures expands this experience with derivatives, leveraged trading, an order book, liquidity provision, and new market creation. The user is not only the trading side; they can also contribute to the functioning of certain markets by providing liquidity.On the technical side of SynFutures, the Oyster AMM model stands out. AMM stands for automated market maker, and instead of directly matching buyers and sellers, it allows trades to take place through liquidity pools. Oyster AMM also uses order book logic in addition to this classic model. An order book refers to a system where buy and sell orders are arranged according to price levels. In this way, SynFutures tries to combine the continuously available liquidity of an AMM with the more targeted trading experience of an order book.Another important topic in the perpetual futures structure is the funding mechanism. Since perpetual futures do not have an expiry date, the system uses funding payments to balance the difference between the trading price and the spot market price. This mechanism helps prevent the futures price from drifting too far away from the underlying asset price. SynFutures documents state that Oyster AMM uses a continuous funding mechanism for perpetual futures markets. The strongest side of this model is user control. On centralized exchanges, users deposit their funds into the platform account, and trades proceed through the exchange’s internal system. On SynFutures, users trade through their wallets, positions are managed by smart contracts, and much of the data can be tracked onchain. This structure offers a more transparent experience, but it is not completely risk-free.Users also need to consider wallet security, smart contract risk, liquidation risk, and network costs. Collateral levels become especially critical in leveraged trading. If the market moves sharply in the opposite direction, the position may be forcibly closed. For this reason, protocols such as SynFutures offer decentralized trading freedom, but they also require users to manage risk more consciously.The Role of the F Token in the EcosystemF is the native token of the SynFutures ecosystem. The token was designed to increase community participation during the project’s decentralization process. F token holders can take part in governance processes. In addition, use cases such as trading fee discounts, staking rewards, and future airdrop advantages strengthen the token’s position within the ecosystem.The short answer to the question “What is the F token?” is this: it is the ecosystem token used for governance, incentives, and community participation in the SynFutures protocol. For this reason, the F token should not be evaluated only through its price movements. SynFutures’ trading volume, number of users, liquidity quality, and position in the DeFi derivatives market also play an important role in the token’s story.History of SynFutures: Key MilestonesSynFutures’ public story gained momentum in 2021. The project raised $14 million in a Series A funding round led by Polychain Capital in June 2021.Framework, Pantera Capital, Bybit, Wintermute, CMS, Kronos, and IOSG Ventures also participated in this round. Even at that stage, SynFutures was highlighting the idea of “a derivatives market for every asset with price data.”On the founding side, Rachel Lin stands out. Before SynFutures, Lin was among the co-founders of Matrixport and worked in structured derivatives at Deutsche Bank.This background makes it easier to understand why the project focuses directly on derivatives markets. SynFutures is trying to grow not only with a crypto developer reflex, but also by using derivatives knowledge from the traditional finance side.V1, V2, and V3 ProcessThe SynFutures V1 beta version was launched in October 2021. In this first phase, the project focused on allowing users to create futures markets across a broader range of assets.On the V2 side, the user experience was made simpler. Trading processes for liquidity providers and traders were moved into a more understandable structure.The real turning point came with V3. SynFutures V3 introduced the Oyster AMM model and tried to bring both AMM and order book logic together under the same roof in the perpetual futures market.This model helped SynFutures position itself as a more serious player in the DeFi derivatives market. The project was no longer highlighting only the idea of permissionless market creation, but also more efficient liquidity and a more professional trading experience.F Token Launch DateThe F coin launch date is one of the most searched topics about SynFutures. The SynFutures Foundation and F token announcement came in November 2024, while the airdrop claim process began on December 6, 2024. In its first phase, the F token stood out with an airdrop structure designed to reward early users and community contributions. A total of 7.5% of the supply was allocated for the Season 1 airdrop.The token’s first listings included Bybit, Bitget, Gate.io, and KuCoin. Later, Binance also announced spot trading support for F. Like other new crypto assets, the F token price can experience sharp fluctuations. For this reason, when tracking the F coin price, it is important to look not only at the current chart, but also at circulating supply, total supply, the token unlock schedule, and trading volume.At the time of writing, the F coin price is around $0.003. How Does SynFutures Work?The most prominent concept in SynFutures’ technical structure is Oyster AMM. This model brings the automated market maker system and the order book structure together within a single liquidity model.In classic AMM models, liquidity is generally spread across the pool. This structure may be useful for spot trading, but capital efficiency and risk management become more complex in derivatives markets.Oyster AMM allows liquidity to be concentrated within certain price ranges. In this way, the goal is to provide deeper liquidity with the same amount of capital.Another difference in the model is that it allows liquidity to be provided with a single token. The user can provide liquidity in certain markets without having to supply both assets as in the classic two-sided liquidity model.Onchain Order BookSynFutures V3 also uses an onchain order book structure. An order book refers to a system where buy and sell orders are arranged according to price levels. This structure has been used by centralized exchanges for years. A user enters a limit order, the system keeps that order waiting, and the trade is executed when a suitable matching order appears.SynFutures focuses on running this logic onchain. This allows orders, matches, and trades to be tracked within a more transparent structure. The onchain order book reduces the need for a central intermediary. However, transaction costs, network speed, and user experience become more important in this area.Liquidity and Market CreationOne of the most notable sides of SynFutures is that users can create new trading markets. The project centers on the idea of opening derivatives markets for assets that have price data. This feature is especially important for long-tail assets. Large centralized exchanges may not open futures markets for every token. Liquidity, risk management, and listing policies limit this process.SynFutures builds a more open model. Users or market participants can create new trading pairs for certain assets. This flexibility fits the spirit of DeFi. Still, not every open market is necessarily safe or liquid enough. Especially in smaller assets, price volatility, manipulation risk, and liquidation risk can appear more sharply.Why Is SynFutures Important?Derivatives trading creates a large volume in the crypto market. Despite this, a significant part of this volume remained on centralized exchanges for a long time. Centralized exchanges offer fast execution, deep liquidity, and easy interfaces. However, users entrust their funds to the exchange and take on platform risk.On the DeFi side, the user acts through their own wallet. Transparency increases as trades are carried out through smart contracts, but liquidity and trading experience may not always reach the same level as centralized exchanges.SynFutures is among the projects trying to close this gap. With V3 and Oyster AMM, the goal is to make decentralized derivatives trading more usable and more efficient.The Idea of a Market for Every AssetSynFutures’ distinguishing feature is its “market for every asset” approach. The project aims to make it easier to create new futures markets for assets with price feeds. This approach also softens the boundaries between traditional finance and crypto. In theory, the subject of this model can include not only crypto assets, but also indices, commodities, and real-world assets.This structure gives users a wider trading area. It also creates new opportunities for liquidity providers and market makers. The risk side grows at the same scale. In newly opened markets, the quality of the price feed, liquidity depth, and market security must be examined carefully.Trader and LP SideSynFutures offers traders a decentralized leveraged trading area. Users can take positions on price direction, open long or short trades, and try to benefit from market movements. This structure may look attractive for active traders. However, leveraged trading can lead to very fast losses when risk management is poor.For liquidity providers, SynFutures offers a different use case. Users can aim to earn income from trading fees by providing liquidity within certain price ranges.For professional market makers, the onchain order book opens the door to more advanced strategies. This shows that SynFutures is trying to appeal not only to individual users, but also to more experienced market participants.F Token SupplyThe total supply of the F token was set at 10 billion. The token distribution includes community, foundation treasury, backers and advisors, core contributors, protocol development, and liquidity categories. The community allocation is 28.5%. Of this, 7.5% was allocated for the Season 1 airdrop, with 750 million F tokens planned for distribution to early users. This distribution focused on rewarding addresses that used the protocol during SynFutures’ V1, V2, and V3 periods. Airdrop criteria included trading activity, liquidity provision, onchain activity, and community contribution. The token unlock schedule is important in the F token economy. Since the full total supply did not enter circulation on the first day, new supply entries can create pressure on the price.Use CasesThe use cases of the F token include governance, staking, trading fee discounts, and future airdrop advantages.On the governance side, the goal is for SynFutures to become more community-focused over time. Token holders are expected to gain more say in protocol decisions.Staking stands out in terms of ecosystem incentives. Users can stake their F tokens to gain advantages in certain campaigns or reward programs.Trading fee discounts are also one of the token’s practical use cases. This feature becomes more meaningful especially for traders who actively use the protocol.SynFutures’ Developers and CommunityRachel Lin and Matthew Liu stand out on the founding side of SynFutures. Before the project, Rachel Lin worked in derivatives at Deutsche Bank and was among the co-founders of Matrixport. This background makes it easier to understand why SynFutures was built directly around futures trading and derivatives markets.Matthew Liu is one of the names that stands out on the project’s strategy and growth side. Liu’s experience in traditional finance, banking markets, and blockchain contributes to SynFutures’ positioning not only as a technical DeFi product, but also as a broader financial infrastructure project.SynFutures has been among the projects that received strong investor support from an early stage. The project raised $14 million in a Series A round led by Polychain Capital in 2021. Pantera Capital, Framework Ventures, Bybit, Wintermute, CMS, Kronos, and IOSG Ventures also participated in this round. SynFutures' partners The Series B round in 2023 became a larger turning point for SynFutures. The $22 million investment round led by Pantera Capital included participation from SIG DT Investments and HashKey Capital. This financing provided important resources for SynFutures V3, the Oyster AMM model, multi-chain expansion, and new product development.With the F token, SynFutures Foundation also took on a more visible role in the project’s decentralization process. The foundation is positioned around ecosystem growth, community initiatives, developer support, partnerships, and governance processes.On the community side, airdrop campaigns, trading rewards, staking incentives, and ecosystem programs play an important role. Use cases such as governance rights, trading fee discounts, staking rewards, and future airdrop advantages were planned for F token holders.The SynFutures community played a role in the project’s growth especially through early user activity. Users who traded, provided liquidity, and participated in campaigns during the V1, V2, and V3 periods were rewarded in the F token airdrop process.Frequently Asked Questions (FAQ)Below, you can find some frequently asked questions and answers about SynFutures:What is SynFutures, and when did it launch?: SynFutures is a decentralized perpetual futures and derivatives trading protocol. The project became more visible during its V1 beta phase in 2021. The F token entered the market on December 6, 2024, through the airdrop and initial listings.Who developed SynFutures?: Rachel Lin stands out on the founding side of SynFutures. Lin previously served as one of the co-founders of Matrixport and worked in structured derivatives at Deutsche Bank. The project team includes people with backgrounds in traditional finance, fintech, and blockchain.What does the F token do?: The F token is the governance and utility token of the SynFutures ecosystem. The token can be used for governance, staking, trading fee discounts, and future ecosystem incentives.What problems does SynFutures aim to solve?: SynFutures focuses on the problem that derivatives trading remains largely dependent on centralized exchanges. The protocol allows users to trade with leverage onchain through their wallets, create new markets, and provide liquidity.Is SynFutures suitable for investment?: There is no clear answer that applies to everyone. SynFutures has strong investor support, a notable technical model, and an active DeFi derivatives vision. On the other hand, the F token price can be affected by market conditions, token unlocks, competition, and protocol usage. Before making an investment decision, current price, circulating supply, total supply, trading volume, and the unlock schedule should be examined together.Which network does SynFutures operate on?: The Base network stands out on the SynFutures V3 side. The F token is supported on Ethereum Mainnet and Base. Some exchanges support deposits and withdrawals through these networks.What is the difference between SynFutures and centralized exchanges?: On centralized exchanges, users deposit their funds into a platform account. On SynFutures, trades proceed through wallets and smart contracts. This structure provides more transparency and user control, but it also increases responsibilities such as wallet security and smart contract risk.Follow the JR Kripto Guide series for the latest explainers on SynFutures and DeFi derivatives markets.
Nearly 1,700 British investors have filed a group lawsuit against Binance, its founder Changpeng “CZ” Zhao, and Abu Dhabi-based Nest Exchange at the High Court in London. According to the claim form filed on June 29, the exchange allegedly sold crypto derivative products to retail investors for years without obtaining regulatory approval.The claim form, submitted by law firm KP Law on behalf of 1,692 claimants, including lead claimant Tomas Sutas, alleges that the defendants sold leveraged tokens, crypto futures, options, and margin trading products to British consumers from around September 13, 2019. The filing claims this violated the Financial Services and Markets Act.What does the legal basis say?The claim argues that the sales violated the general prohibition on carrying out regulated activities without authorization. It also alleges that the promotion of these products breached rules on unauthorized financial promotions.The claimants are seeking the return of money and property they paid, as well as damages and interest under the Senior Courts Act 1981.CZ and Binance Holdings are named as additional defendants in the case on the grounds that they allegedly acted in “common design” with the entities operating the platform. A fourth defendant, covering other entities that operated the Binance trading platform, is listed only as “Persons Unknown.”The gap between the figures stands outAccording to court documents, the amount claimed in the claim form is listed as “exceeding £200,000” ($264,900). This figure is actually the threshold that triggers a court fee of £10,067 when filing the case.KP Law, however, told media outlets including Reuters that the group is seeking more than £150 million ($200 million) in total. That figure does not appear in the claim form itself.In a statement, Binance said full compliance with UK regulations remains a priority for the company. A spokesperson said the exchange remains committed to its obligations to users and will defend itself against the allegations through the appropriate legal process when the time comes.Past records add weight to the caseThe lawsuit comes after Binance pleaded guilty in the United States in 2023 to anti-money laundering and sanctions violations. That case resulted in a $4.3 billion fine for the exchange and a four-month prison sentence for CZ. CZ was later pardoned by President Donald Trump.The development also came just days after Binance withdrew its MiCA license application in Greece. In comments to The Block, CZ claimed the application had been “fully compliant” and close to approval before unnamed political forces intervened.The case is still at an early stage. It is not yet clear when Binance will file its formal defense.
According to the annual financial disclosure report published on Tuesday, U.S. President Donald Trump’s income included hundreds of millions of dollars earned through his family’s crypto company World Liberty Financial, as well as thousands of dollars in investments in companies such as Coinbase and Strategy. The 927-page report, prepared by the Office of Government Ethics, covers a wide investment portfolio ranging from Domino’s Pizza and Costco to Victoria’s Secret, Lockheed Martin and major banks such as JPMorgan.The most striking item in the report was the income generated from World Liberty Financial, which came to light at a time when Congress is debating a comprehensive bill aimed at regulating the crypto sector. Democrats are demanding that an ethics clause be added to the bill, barring the president, vice president, members of Congress and other federal officials from certain cryptocurrency transactions in exchange for supporting the legislation.According to the disclosure, Trump earned more than $65.6 million from the sale of his stake in WLF Holdco and $236.25 million from distributed proceeds from World Liberty Financial’s token sales. The report also listed Bitcoin, Ethereum, USDC, LINK, AAVE, ENA, MOVE and ONDO holdings kept in cold wallets linked to World Liberty Financial, along with roughly $1.8 million in Ethereum staking rewards.Trump’s portfolio also includes an investment of up to $100,000 in crypto exchange Coinbase, as well as multiple investments in Strategy, the company formerly known as MicroStrategy.Vance’s Disclosure Was Much SimplerThe financial disclosure of Vice President JD Vance, released on the same day, was far shorter at just 17 pages. Vance reported holding up to $500,000 in Bitcoin.The Trump administration’s close ties to the crypto sector are once again becoming a point of debate at a time when the regulatory process is shaping a law that directly covers the products of these companies. The fact that World Liberty Financial was founded by the president’s own family and that Trump directly earned income from the company stands out as one of the factors strengthening conflict-of-interest claims.Crypto Lobby’s Rise in WashingtonThis disclosure also highlights how much the crypto sector’s influence in U.S. politics has grown over the past few years. During the 2024 election cycle, crypto companies and investors channeled hundreds of millions of dollars into election campaigns through super PACs, turning the industry into one of the most powerful lobbying groups in Congress.They have also begun to see returns on that investment. The market structure bill being debated in the Senate aims to clarify which regulatory agency will oversee digital assets and to provide exchanges with a more predictable framework.However, the fact that Trump’s own family directly earns income from a crypto company is raising more questions about the neutrality of the bill. World Liberty Financial was founded in late 2024 by a group that included Trump’s sons, Eric Trump and Donald Trump Jr., and quickly raised hundreds of millions of dollars through token sales. The company’s stablecoin, USD1, also drew attention after it began being used in transactions involving some Middle Eastern investment funds.Ethics experts have long argued that it is unprecedented for a sitting president to earn income from the private sector on this scale. Traditionally, presidents have transferred their assets into blind trusts to avoid conflicts of interest. The Trump administration has been criticized for not adopting this practice, and his stake in World Liberty Financial has become one of the clearest examples of that debate.
Binance has left users facing a surprise change with only two days’ notice. The exchange revised both the date and scope of its spot trading pair removal plan, which it had announced a week earlier, leaving users with a very limited window to prepare.Binance moved up the removal date for several spot trading pairs. The action, previously scheduled for July 3, 2026 at 06:00 TRT, has been brought forward to July 1, 2026 at 15:00 TRT. The exchange also added new pairs to the list.Binance says it regularly reviews listed pairs to maintain quality in the spot market. Low liquidity and weak trading volume are among the most common reasons for removing a pair.Pairs to be removedThe pairs that will be removed from the exchange on July 1 at 15:00 TRT are: BIGTIME/USDC, BTC/EURI, CTK/BNB, CTK/BTC, ETH/EURI, ETH/PLN, GUN/BNB, JST/BTC, ZEN/BTC, BTC/PLN, USDC/PLN and USDT/PLN.PLN stands for the Polish zloty and is not a cryptocurrency. Binance also clarified this point and said users can continue zloty transactions through the “Buy Crypto” and “Convert” sections.Assets will remain listed on the exchangeThe removal of a trading pair does not mean that the underlying assets in that pair are being fully delisted from the exchange. Even if ETH/PLN is removed, ETH will continue to trade through other pairs. The same logic applies to all other assets on the list.Warning for bot usersBinance will also stop Spot Trading Bot services for the removed pairs at the same time, on July 1 at 15:00 TRT. Users running bots on these pairs are advised to update or cancel their bots before the deadline to avoid potential losses.Moving the date forward by two days may seem like a small change, but it shortens the preparation window for users with open orders or active bots.What will happen to open orders?Open orders that are not filled before the removal time will be automatically canceled. Users with pending limit orders on these pairs need to close them manually before July 1 at 12:00 UTC or manage their positions through another pair. Otherwise, the exchange will cancel the order, and the user may miss the trade.This is especially important for users trading lower-volume pairs such as GUN/BNB and CTK/BNB. Compared with major pairs, these types of pairs already trade with limited depth, so a sudden removal may catch users unprepared.
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.
