MindCP (Model + Intent + Decentralized Context Protocol) is a new standard for building intelligent, context-aware AI systems. MindCP is designed for the future of decentralized applications, where users have control over their data.
According to the official press release, AI security company Neo officially announced today the completion of $100 million in financing, led by Andreessen Horowitz and Bessemer Venture Partners, with participation from Craft Ventures and Merlin Ventures. Neo was co-founded by former executives from SentinelOne, Wiz, and Palo Alto Networks, positioned as an "Intelligent Software Control Company", aiming to provide enterprises with a real-time control layer, helping SecOps teams conduct comprehensive inventory, risk assessment, behavior attribution, and policy enforcement on AI agents, AI applications, browser extensions, MCP servers, and traditional software. According to Gartner's forecast, only 5% of enterprise applications will have agent capabilities in 2025, while by the end of 2026 this proportion will rise to 40%.
: AI financial data infrastructure company Daloopa announced the completion of a $47 million Series C funding round, led by Brighton Park Capital, with participation from Squarepoint Capital, Touring Capital, and Nexus Venture Partners. The funds will be used to accelerate platform expansion and expand the engineering, product, and marketing teams.Daloopa provides structured and traceable financial data for financial institutions. It has currently expanded data access through MCP connectors with OpenAI ChatGPT, Anthropic Claude, Perplexity, and Rogo, and offers APIs, cloud delivery, and partner APIs, enabling third-party developers to use its high-quality financial data in their own products. (PRNewswire)
Dune co-founder and CEO Fredrik Haga stated that Dune is laying off 25% of its staff this week as part of a restructuring aimed at further concentrating efforts on developing the industry's core data products.Haga noted that the company is increasing investment in AI-driven tools, using Dune MCP to enable teams and agents to build dashboards and workflows without requiring knowledge of SQL or data infrastructure. Additionally, as assets like currencies, stocks, and bonds accelerate their migration on-chain, the company is heavily investing in the data layer and providing services to institutions. Dune currently has ample financial reserves, having completed a $69.42 million Series B funding round led by Coatue in 2022. (theblock)
According to official announcements, Web3 intelligence-layer project Claw Intelligence has raised $3 million in seed funding. Investors include Castrum Istanbul, Titans Ventures, Super Labs, and Genesis Capital. Claw Intelligence is simplifying user interaction with the Web3 ecosystem and underlying computing resources through its unified intelligence layer, lowering operational barriers. The platform leverages an encryption-native Model Context Protocol (MCP) service to transform fragmented data endpoints into conversational workflows. New features include a secure, isolated large language model (LLM)-powered code execution sandbox that safely runs code directly within the chat interface—enabling real-time computation, data processing, and script prototyping; and LLM-driven cross-device/multi-computer control, allowing users to centrally manage multiple devices and servers via natural-language commands.
Odaily News – According to the latest report by The Economist Enterprise, after 13 years of development and multiple strategic upgrades, Gate is gradually evolving from a traditional crypto asset trading platform into a comprehensive financial infrastructure connecting digital assets with traditional financial markets. The report notes that as more traditional financial products — including stocks, ETFs, tokenized assets, forex, and metals — enter the digital asset ecosystem, Gate is leveraging its multi-asset product layout and global infrastructure development to further bridge the gap between crypto finance and TradFi. In the interview, Gate Founder and CEO Dr. Han stated that as the industry evolves, digital asset platforms are no longer facing only technical challenges, but also risk management, user protection, and industry regulation.In terms of TradFi integration, Gate has established a multi-layered framework spanning tokenized assets, derivatives, and native stock trading, successively launching products and services such as xStocks, Ondo, Gate TradFi, Pre-IPOs, Direct IPO Access, and Gate Stocks. Among these, Gate Stocks now supports stock trading in the U.S., Hong Kong, and South Korea, significantly lowering the barrier for global users to participate in traditional financial markets. Meanwhile, Gate continues to enhance its 24/7 trading and liquidity infrastructure to meet the cross-market asset allocation needs of users worldwide.The Economist Enterprise also pointed out that as the digital asset market moves further toward institutionalization, compliance, transparency, and infrastructure capabilities are becoming key components of platform competitiveness. Gate continues to advance its compliance framework across multiple global jurisdictions and has provided third-party audits and open-source Proof of Reserves since 2020. In addition, Gate is introducing AI infrastructure into Web3, connecting AI with trading, wallets, and more services through products such as Gate AI, Gate MCP, and GateClaw, driving the platform's evolution from a traditional trading venue into a comprehensive financial infrastructure that connects digital assets, traditional finance, and AI applications.
Base lead Jesse Pollak introduced Base's latest development direction at the Coinbase System Update: Take Control conference held today. Base is committed to becoming a platform that supports global financial activities.Base announced support for tokenized stocks launched by Coinbase and introduced the B20 native token standard. The Base App will support Solana, Bitcoin, and multiple EVM networks, and will also launch a web version. Base introduced Base MCP, allowing AI Agents to perform on-chain activities such as transfers, transactions, swaps, and lending with user authorization.Base stated that it has processed over $19 trillion in stablecoin payment volume this year and supports more than 25 local currency stablecoins. Base has also launched private transactions and a new ledger architecture to meet corporate compliance and auditing requirements.
a16z Crypto published an article exploring the fundamental contradiction between blockchain “censorship resistance” and “low latency,” pointing out that any Byzantine Fault Tolerant (BFT) blockchain protocol with censorship resistance, where more than one-fifth of validators could be malicious, requires at least 5 rounds of communication for its optimal good-case latency, whereas traditional BFT consensus only requires a minimum of 3 rounds.The article notes that in traditional BFT protocols, the block proposer holds the power for both block construction and consensus progression, allowing them to censor by excluding specific transactions. This is also a major source of the MEV problem. To address this issue, Ethereum is researching FOCIL / EIP-7805, while Solana is exploring mechanisms like Constellation and MCP. The core idea behind these approaches is to have validators proactively collect "Inclusion Lists" of transactions that cannot be ignored before a block is formally proposed.a16z Crypto states that achieving censorship resistance requires two additional rounds of communication: first, user transactions must be broadcast to all validators, and then the validators need to confirm and write these into an inclusion list before the consensus process can begin. Therefore, in a partially synchronous network environment, there is no protocol design that can achieve both BFT and censorship resistance in just 4 rounds; 5 rounds represent the mathematical lower limit.The article emphasizes that while a censorship-resistant mechanism increases protocol latency, it can significantly reduce the "effective latency" users actually experience. In a system lacking censorship resistance, transactions may be indefinitely delayed due to validator censorship. Conversely, in a system with censorship resistance guarantees, transactions will be included in a block within a maximum of 5 rounds of communication, making transaction confirmation times more predictable.
PrimePiper has launched an enterprise-grade prime broker platform for AI agents, designed to address challenges including fragmented account management, inadequate risk control, inability to reconcile across venues, and insufficient compliance auditing in AI-driven automated trading. According to the company, its infrastructure supports unified connectivity to multiple trading venues—including Hyperliquid, OKX, Tiger Brokers, and Interactive Brokers (IBKR). For risk control, PrimePiper offers enterprise-grade API key management, spending limits, and circuit-breaker mechanisms to constrain AI agent trading behavior. At the execution layer, it enables automated strategy execution via SDK or the Model Context Protocol (MCP). For compliance and auditing, it provides audit-grade reporting capabilities tailored for funds and traders. PrimePiper has been selected for the latest cohort of Founders Inc’s accelerator program; its product is currently in the Alpha stage. Team members hail from Galois Capital, Kraken, DRW, and AWS.
: Citrini analyst jukan posted on the X platform that driven by AI demand and supply shortages, South Korea's storage semiconductor export value and unit price rose simultaneously in June. According to trade statistics from the Korea Customs Service, as of June 20, 2026, the total export value of major storage products exceeded 23 billion USD, already surpassing 60% of the 37.16 billion USD total export value for the entire month of May.Based on the recent monthly growth of HBM, NAND, and SSD, the total storage semiconductor export value in June is expected to reach 38 to 42 billion USD, surpassing last month's record and reaching an all-time high. In June, both the export value and unit price of various storage semiconductors rose simultaneously, with the export value of MCP (i.e., HBM) increasing by 51% month-over-month.Influenced by continued investment in AI data centers by global tech giants like NVIDIA, the supply shortage of HBM3E and HBM4, centered around SK Hynix, persists. As wafers are concentrated on HBM production, the supply of general DRAM has relatively decreased, pushing the unit price of general DRAM to approximately 2 to 3 times that of the same period last year. Demand for NAND flash and SSD is growing alongside the expansion of AI inference server construction, with both product categories seeing a month-over-month increase of 25% to 28%. The share of storage products in total semiconductor exports has risen from the previous 70% range to 90% this month. The combined export value of storage and system semiconductors reached 25.5 billion USD, with the total semiconductor export value for June expected to be between 42 and 46 billion USD.Park Junyoung, a researcher at Hanwha Investment & Securities, stated that South Korea's storage industry is currently overcoming weaknesses by relying on two tools: long-term supply agreements and HBM. Even if the profitability of the storage industry declines in the future, the drop in operating profit is unlikely to be as severe as in the past.
Odaily News: Citrini analyst jukan posted on platform X that South Korea's preliminary export data for June 1-20 shows DRAM (including modules) up 342% year-on-year and 3% month-on-month; NAND flash up 336% year-on-year and 28% month-on-month; MCP (HBM) up 209% year-on-year and 51% month-on-month; SSD up 405% year-on-year and 25% month-on-month.
According to The Block, Amazon Web Services (AWS) has partnered with Coinbase and Stripe to launch Amazon Bedrock AgentCore Payments, enabling AI agents to conduct transactions using stablecoins. Coinbase stated that developers can build “agent-based payment” solutions using the x402 protocol, allowing AI agents to make micro-payments in USDC. This feature enables AI agents to instantly pay for web content, APIs, MCP servers, and other agents. AWS noted that developers can choose between Coinbase and Stripe wallets and fund those wallets using either stablecoins or fiat currency.
according to official sources, OKX Agent Trade Kit has launched the "Smart Money Signal Suite," which integrates the real-time positions, win rates, and profit/loss data of over 1,000 popular traders from OKX Star and packages them as signal tools callable by AI Agents. This suite supports long/short market analysis and allows for multi-dimensional analysis including capital weighting, trader screening, and signal quality evaluation. Additionally, the system can track trend changes and sentiment shifts, providing auxiliary support for trading decisions. These features have been integrated into the Agent Trade Kit, and users can access them after upgrading to the latest version.It is reported that OKX Agent Trade Kit is an open-source exchange MCP toolset designed for AI Agents and professional traders. It previously launched suites such as "Skill Square," "Market Screening and Open Interest Analysis," and "Sentiment Radar."
PrimePiper has launched an enterprise-grade prime broker platform for AI agents, designed to address challenges including fragmented account management, inadequate risk control, inability to reconcile across venues, and insufficient compliance auditing in AI-driven automated trading. According to the company, its infrastructure supports unified connectivity to multiple trading venues—including Hyperliquid, OKX, Tiger Brokers, and Interactive Brokers (IBKR). For risk control, PrimePiper offers enterprise-grade API key management, spending limits, and circuit-breaker mechanisms to constrain AI agent trading behavior. At the execution layer, it enables automated strategy execution via SDK or the Model Context Protocol (MCP). For compliance and auditing, it provides audit-grade reporting capabilities tailored for funds and traders. PrimePiper has been selected for the latest cohort of Founders Inc’s accelerator program; its product is currently in the Alpha stage. Team members hail from Galois Capital, Kraken, DRW, and AWS.
Odaily News, X-Agent recently published a technical article titled "An OPC Is a Stack, Not a Headcount Story," arguing that as AI significantly reduces R&D and operational costs, the competitiveness of a One Person Company (OPC) should no longer be measured by how much work a single person can complete.The article points out that an OPC with true commercial capability needs to establish a complete closed loop spanning demand discovery, AI production, capability infrastructure, distribution, economic systems, and market feedback.And this is precisely the problem X-Agent aims to solve.At the capability layer, X-Agent leverages MCP to help individual developers productize their capabilities, transforming a project into a service that can be discovered, invoked, and verified by Agents. At the commercial layer, X-Agent further connects Agent distribution and payment infrastructure, enabling services to enter real Agent workflows, with usage-based billing, budget management, payment, and settlement.Meanwhile, the X-Agent MCP Hackathon is also driving this model into practice: developers do not need to start by building an "MCP server" from scratch. Instead, they first prove that a real capability can solve a practical problem, then convert it into a production-grade Agent service through standardization, deployment verification, and security checks.Therefore, what X-Agent is building is not just a development tool, but a framework that helps OPCs complete:Demand discovery → Capability building → MCP productization → Agent distribution → Commercial settlement → Market feedbackUltimately forming a self-reinforcing AI business closed loop.The OPC of the future is not one person taking on all the work, but one person using AI and Agents to organize a complete set of company-level capabilities.
Odaily News – According to the latest report by The Economist Enterprise, after 13 years of development and multiple strategic upgrades, Gate is gradually evolving from a traditional crypto asset trading platform into a comprehensive financial infrastructure connecting digital assets with traditional financial markets. The report notes that as more traditional financial products — including stocks, ETFs, tokenized assets, forex, and metals — enter the digital asset ecosystem, Gate is leveraging its multi-asset product layout and global infrastructure development to further bridge the gap between crypto finance and TradFi. In the interview, Gate Founder and CEO Dr. Han stated that as the industry evolves, digital asset platforms are no longer facing only technical challenges, but also risk management, user protection, and industry regulation.In terms of TradFi integration, Gate has established a multi-layered framework spanning tokenized assets, derivatives, and native stock trading, successively launching products and services such as xStocks, Ondo, Gate TradFi, Pre-IPOs, Direct IPO Access, and Gate Stocks. Among these, Gate Stocks now supports stock trading in the U.S., Hong Kong, and South Korea, significantly lowering the barrier for global users to participate in traditional financial markets. Meanwhile, Gate continues to enhance its 24/7 trading and liquidity infrastructure to meet the cross-market asset allocation needs of users worldwide.The Economist Enterprise also pointed out that as the digital asset market moves further toward institutionalization, compliance, transparency, and infrastructure capabilities are becoming key components of platform competitiveness. Gate continues to advance its compliance framework across multiple global jurisdictions and has provided third-party audits and open-source Proof of Reserves since 2020. In addition, Gate is introducing AI infrastructure into Web3, connecting AI with trading, wallets, and more services through products such as Gate AI, Gate MCP, and GateClaw, driving the platform's evolution from a traditional trading venue into a comprehensive financial infrastructure that connects digital assets, traditional finance, and AI applications.
Google has begun rolling out Gemini Spark to Google AI Pro users outside the United States. Spark is a personal AI agent that runs 24/7 in the background, capable of handling heavy tasks based on user instructions. According to the test account Testing Catalog, the product's next major upgrade will support true MCP (Model Context Protocol), with related features already in development.
Lightning Labs announced on X platform that it has launched Wavelength, a self-custodial Bitcoin payment toolkit designed to make integrating Bitcoin into applications as simple as calling an API. Built on an Ark-like settlement layer, the platform enables developers, AI agents, and vibe coders to connect any application to Lightning payments without running a node, managing channels, or acquiring liquidity. It also supports AI agents in using Bitcoin payment APIs, data sources, and other services through MCP tool calls. Wavelength is currently available in alpha on signet and testnet, while mainnet access requires an invitation.
支付宝 AI 开放平台正式上线,并面向企业开发者及代开发服务商开放邀测。平台支持商家和机构将现有小程序、API 接口及服务能力升级为可被 AI 调用的 MCP、Skill 或 Agent,实现“一次接入、多端分发、统一管理”。接入后,相关服务不仅可面向支付宝生态内用户提供智能服务,还可拓展至手机、车机、AI 眼镜及 IoT 等多类终端。
Odaily Odaily News According to official sources, OKX has officially launched OKX.AI. This is a decentralized platform designed for the Agent economy, supporting AI Agents in issuing tasks, undertaking tasks, completing payments, providing evaluations, and conducting arbitration. This enables Agents to collaborate autonomously like economic entities and complete complex tasks.It is reported that OKX.AI consists of two major markets: the "Agent Square" and the "Task Hall". The underlying layer relies on infrastructure such as Onchain OS to provide the identity, payment, trust, and settlement capabilities required by the agent economy. Each Agent has a unique on-chain identity and can be paid based on task outcomes; disputes are arbitrated by a staked validator network. Developers can connect through the open toolkit Onchain OS, which is compatible with MCP-supported clients such as Claude Code and Codex, and can start using it by creating an Agentic Wallet.
Odaily News, X-Agent recently published a technical article titled "An OPC Is a Stack, Not a Headcount Story," arguing that as AI significantly reduces R&D and operational costs, the competitiveness of a One Person Company (OPC) should no longer be measured by how much work a single person can complete.The article points out that an OPC with true commercial capability needs to establish a complete closed loop spanning demand discovery, AI production, capability infrastructure, distribution, economic systems, and market feedback.And this is precisely the problem X-Agent aims to solve.At the capability layer, X-Agent leverages MCP to help individual developers productize their capabilities, transforming a project into a service that can be discovered, invoked, and verified by Agents. At the commercial layer, X-Agent further connects Agent distribution and payment infrastructure, enabling services to enter real Agent workflows, with usage-based billing, budget management, payment, and settlement.Meanwhile, the X-Agent MCP Hackathon is also driving this model into practice: developers do not need to start by building an "MCP server" from scratch. Instead, they first prove that a real capability can solve a practical problem, then convert it into a production-grade Agent service through standardization, deployment verification, and security checks.Therefore, what X-Agent is building is not just a development tool, but a framework that helps OPCs complete:Demand discovery → Capability building → MCP productization → Agent distribution → Commercial settlement → Market feedbackUltimately forming a self-reinforcing AI business closed loop.The OPC of the future is not one person taking on all the work, but one person using AI and Agents to organize a complete set of company-level capabilities.
Odaily News – According to the latest report by The Economist Enterprise, after 13 years of development and multiple strategic upgrades, Gate is gradually evolving from a traditional crypto asset trading platform into a comprehensive financial infrastructure connecting digital assets with traditional financial markets. The report notes that as more traditional financial products — including stocks, ETFs, tokenized assets, forex, and metals — enter the digital asset ecosystem, Gate is leveraging its multi-asset product layout and global infrastructure development to further bridge the gap between crypto finance and TradFi. In the interview, Gate Founder and CEO Dr. Han stated that as the industry evolves, digital asset platforms are no longer facing only technical challenges, but also risk management, user protection, and industry regulation.In terms of TradFi integration, Gate has established a multi-layered framework spanning tokenized assets, derivatives, and native stock trading, successively launching products and services such as xStocks, Ondo, Gate TradFi, Pre-IPOs, Direct IPO Access, and Gate Stocks. Among these, Gate Stocks now supports stock trading in the U.S., Hong Kong, and South Korea, significantly lowering the barrier for global users to participate in traditional financial markets. Meanwhile, Gate continues to enhance its 24/7 trading and liquidity infrastructure to meet the cross-market asset allocation needs of users worldwide.The Economist Enterprise also pointed out that as the digital asset market moves further toward institutionalization, compliance, transparency, and infrastructure capabilities are becoming key components of platform competitiveness. Gate continues to advance its compliance framework across multiple global jurisdictions and has provided third-party audits and open-source Proof of Reserves since 2020. In addition, Gate is introducing AI infrastructure into Web3, connecting AI with trading, wallets, and more services through products such as Gate AI, Gate MCP, and GateClaw, driving the platform's evolution from a traditional trading venue into a comprehensive financial infrastructure that connects digital assets, traditional finance, and AI applications.
Odaily News: Robinhood has announced the gradual rollout of Agentic Trading functionality for cryptocurrencies to eligible users. Users can connect AI Agents via the Robinhood MCP Server and trade cryptocurrencies, stocks, and options through a dedicated Agentic Account.Robinhood stated that the Agentic Account operates with a separate funding mechanism, allowing AI Agents to trade only using funds that users have actively deposited into this account.
Google has begun rolling out Gemini Spark to Google AI Pro users outside the United States. Spark is a personal AI agent that runs 24/7 in the background, capable of handling heavy tasks based on user instructions. According to the test account Testing Catalog, the product's next major upgrade will support true MCP (Model Context Protocol), with related features already in development.
Lightning Labs announced on X platform that it has launched Wavelength, a self-custodial Bitcoin payment toolkit designed to make integrating Bitcoin into applications as simple as calling an API. Built on an Ark-like settlement layer, the platform enables developers, AI agents, and vibe coders to connect any application to Lightning payments without running a node, managing channels, or acquiring liquidity. It also supports AI agents in using Bitcoin payment APIs, data sources, and other services through MCP tool calls. Wavelength is currently available in alpha on signet and testnet, while mainnet access requires an invitation.
According to the official press release, AI security company Neo officially announced today the completion of $100 million in financing, led by Andreessen Horowitz and Bessemer Venture Partners, with participation from Craft Ventures and Merlin Ventures. Neo was co-founded by former executives from SentinelOne, Wiz, and Palo Alto Networks, positioned as an "Intelligent Software Control Company", aiming to provide enterprises with a real-time control layer, helping SecOps teams conduct comprehensive inventory, risk assessment, behavior attribution, and policy enforcement on AI agents, AI applications, browser extensions, MCP servers, and traditional software. According to Gartner's forecast, only 5% of enterprise applications will have agent capabilities in 2025, while by the end of 2026 this proportion will rise to 40%.