News linked to both this project and an event.
Odaily News: The suite covers over 60 EVM-compatible chains and provides AI agents with structured, verified, real-time on-chain data access through three methods: MCP, CLI, and Skills. Etherscan MCP supports programming agents like Claude and Codex in querying on-chain information via natural language; the CLI tool outputs results in JSON, table, or CSV format in the terminal and comes with an interactive interface; the Skills module includes built-in features such as Orchestrator, contract auditing, transaction debugging, and workflow orchestration. Etherscan stated that developers can refer to the official documentation to use these tools and can submit feedback or share applications built on top of them.
Odaily News - Coinbase has disclosed the architecture and application of its internal AI system "CEEcil." This system is not a simple chatbot but is designed as an AI agent that functions like a "team member." It can be mentioned in Slack, and possesses long-term memory, proactive follow-up, and judgment capabilities.CEEcil retains team context through a three-tier memory mechanism: in the background, it continuously extracts information such as decisions, blocked items, and owners from authorized channels; each night, it consolidates short-term observations into long-term summaries; and when answering questions, it retrieves historical memories, recent conversations, and real-time data on demand. The system also adopts a tiered model architecture, where simple queries are prioritized for processing via APIs or knowledge bases, and only complex, multi-step tasks are delegated to more powerful AI models, thereby reducing cost and latency.In practical applications, CEEcil can proactively join relevant Slack discussions, send emoji reactions, and automatically follow up when issues go unaddressed. Coinbase states that the system also once refused to submit operational documents containing customer identity information to Git, suggesting the use of redacted versions or compliant storage methods instead—demonstrating a certain level of security judgment.Architecturally, CEEcil consists of a Go service and an AI agent runtime, and connects to tools such as memory retrieval, knowledge bases, real-time queries, and Slack via MCP. Coinbase also has set up a real-time "kill switch," call limits and spending caps, audit mechanisms, and requires human review and merging of the code it generates.Coinbase says CEEcil is now able to help teams handle production incidents and answer expert knowledge that previously would have required waiting hours to obtain. In the future, the company hopes to expand this model into multiple AI agents tailored to specific teams, enabling AI not only to "answer questions" but also to continuously remember, proactively participate, and complete actual work.
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.