# Сопутствующие статьи по теме AI Agent

Новостной центр HTX предлагает последние статьи и углубленный анализ по "AI Agent", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Can the Solana Foundation and Google's Collaboration on Pay.sh Bridge the Payment Link Between Web2 and Web3 in the Agent Economy?

Solana Foundation, in collaboration with Google Cloud, has launched Pay.sh, a payment gateway designed to bridge the gap between AI agents and enterprise-grade service infrastructure. The initiative aims to solve a key bottleneck in the "agent economy": existing payment systems are ill-suited for autonomous AI agents. Traditional methods like credit cards require human verification, while newer on-chain protocols like x402 and MPP create a separate, Web3-native system that raises barriers for service providers. Pay.sh functions as a universal payment layer. It allows users to fund a Solana wallet via credit card or stablecoin, which then acts as an identity and payment proxy for AI agents. When an agent needs to access a paid API service (e.g., Google Cloud, Alibaba Cloud), Pay.sh handles the transaction seamlessly. It leverages the HTTP 402 status code ("Payment Required") to initiate payments, intelligently choosing between one-time transfers (x402-style) or session-based authorizations (MPC-style) based on the service's billing model. This spares agents from manual account registration and API key management. A key feature for service providers is low integration effort. They can adopt Pay.sh by providing a declarative configuration file, enabling features like tiered pricing, free tiers, and automatic revenue splitting to multiple addresses (e.g., for royalties, cloud costs). Providers can also list their APIs in a central Pay Skill Registry for agent discovery. The collaboration with Google Cloud provides crucial infrastructure for API proxying, traffic routing, and compliance logging, aiming to keep agent activities within regulated boundaries. By connecting Web2 services with Web3 payment rails, Pay.sh positions the Solana wallet as a foundational identity and payment tool for AI agents, potentially driving more transaction volume to the Solana ecosystem. However, the report notes challenges. The service registry currently lacks robust vetting, risking exposure to unauthorized or malicious third-party APIs. Pay.sh also inherits security and compatibility risks from its underlying payment protocols (x402, MPC). Furthermore, adoption may be hindered by varying regional data privacy and payment compliance regulations among API providers. Despite these hurdles, Pay.sh represents a significant step towards integrating Web2 and Web3 for autonomous agent commerce.

marsbit05/12 10:16

Can the Solana Foundation and Google's Collaboration on Pay.sh Bridge the Payment Link Between Web2 and Web3 in the Agent Economy?

marsbit05/12 10:16

Virtuals Is Not Really Doing AI Agent, But the Capital Market for AI Agent

Virtuals is not fundamentally an AI Agent platform, but a capital market for AI Agents. Its core innovation is transforming AI Agents from functional tools into tradable assets that can be issued, owned, traded, and community-driven. This creates a Crypto-native growth model: narrative drives asset creation, speculation fuels initial distribution, and community members become stakeholders, fostering viral spread. The project is evolving beyond being a simple launchpad. Through its Agent Commerce Protocol (ACP), it aims to build a commercial network where Agents can collaborate, provide services, and settle payments on-chain. The concept of "Agentic GDP" (aGDP) is introduced to measure this ecosystem's economic activity. While early growth was heavily fueled by speculation and a Base chain ecosystem, Virtuals now faces a critical juncture. Market attention is shifting from its ability to generate hype to its capacity to foster real, sustainable commercial activity among Agents. Its long-term success hinges on proving that these tokenized Agents can form a genuinely productive and autonomous economy, moving beyond being merely high-volatility AI assets.

marsbit05/11 13:47

Virtuals Is Not Really Doing AI Agent, But the Capital Market for AI Agent

marsbit05/11 13:47

From KYC to KYA, Is It Time to Give AI Agents Their Own 'ID Cards'?

Titled "From KYC to KYA: Is It Time to Issue 'Identity Cards' for AI Agents?", this article discusses the emerging concept of Know Your Agent (KYA) as AI agents become increasingly autonomous. In Agent-to-Agent (A2A) scenarios, where agents execute contracts, payments, and trades without human intervention, the lack of a shared identity standard creates risks like unauthorized transactions, fraud, and accountability gaps. KYA acts as a trust layer to verify an agent's origin, authority, and accountability. The need for KYA is most critical outside centralized platforms (like Google or Coinbase), such as in decentralized exchanges (DEX), A2A payments, and merchant payments. Several key players are building KYA infrastructure: - **ERC-8004**: A proposed Ethereum standard that issues a unique AgentID as an NFT, building on-chain identity, reputation, and validation systems. - **Visa TAP**: Visa's solution issues agent identity credentials, with transactions verified via triple signatures (legitimacy, delegator, payment method). - **Trulioo**: Extends its KYC/KYB compliance infrastructure using a Digital Passport for Agents (DAP), issued after verifying both the developer and user, and refreshed per transaction. - **Sumsub**: Focuses on post-issuance real-time verification, detecting agent anomalies during transactions using its existing compliance systems. Regulatory bodies are also acting. The EU AI Act mandates operator identification in logs for high-risk AI systems, the US NIST prioritizes agent identity management standards, and Singapore has released a national AI governance framework. Similar to how the 2019 FATF Travel Rule impacted crypto exchanges, possessing KYA infrastructure may determine market entry in the AI agent era. The market is expected to segment rather than produce a single winner, with success depending on integrations with merchants, payment networks, and KYC client bases.

marsbit05/10 05:45

From KYC to KYA, Is It Time to Give AI Agents Their Own 'ID Cards'?

marsbit05/10 05:45

Popular Interaction Collections | Rialo Demo Testnet Now Live; Early Whitelist Application for Elastics (May 10)

Popular Interaction Roundup: Rialo Demo Testnet Live; Elastics Early Whitelist Applications (May 10th) This article highlights three notable blockchain projects currently open for user interaction and early access. 1. Rialo: A "Real-World Blockchain" developed by Subzero Labs, aiming to make decentralized applications as user-friendly and performant as Web2 apps while integrating real-world data. It recently completed a $20 million seed round led by Pantera Capital. The demo testnet is live; users can sign up on the playground, claim testnet $RIALO tokens, and explore four available features: Meridian, Guarded Vault, Ermac, and Project 1337. 2. Elastics: An AI agent project for prediction markets, allowing users to trade using natural language. It automates market scanning, analysis, and trading. The project announced a $2 million pre-seed round. For early access, users are advised to join the official Discord server to try for early roles and fill out the whitelist application form on the official website. 3. Saturn: A Bitcoin-based digital credit stablecoin protocol, powered by products related to MicroStrategy's Michael Saylor. It targets yields over 11% for DeFi and announced a $2 million seed round. Notably, 5% of its total token supply will be allocated to users interacting in Season 1. The interaction involves connecting a wallet, depositing USDC to mint sUSDat/srUSDat, and then providing srUSDat to Pendle to earn points. All projects provide links for direct user participation.

Odaily星球日报05/10 00:11

Popular Interaction Collections | Rialo Demo Testnet Now Live; Early Whitelist Application for Elastics (May 10)

Odaily星球日报05/10 00:11

Why Coinbase Will Be the Biggest Winner in the AI Financial Era?

Coinbase is poised to be a major winner in the AI finance era, transforming from a cyclical crypto exchange into a foundational layer for AI-native finance. The market undervalues its exposure to two key secular trends: the rise of stablecoins and the emergence of agentic commerce. Firstly, with the global stablecoin supply projected to reach $3 trillion by 2030, Coinbase benefits as the dominant, most compliant distributor of USDC. Its revenue-sharing agreement with Circle is structurally advantageous and durable, positioning Coinbase to capture significant value from stablecoin growth independent of crypto trading volumes. Secondly, in agentic commerce—where AI agents autonomously transact—Coinbase's technology stack is already dominant. Over 92% of real agent payments occur on its Base network, settled primarily in USDC via the x402 protocol it helped develop. This stack creates a powerful, self-reinforcing ecosystem across four layers: USDC for settlement, Base for execution, developer tools (CDP/AgentKit), and service discovery (Agentic.Market). Key revenue streams include USDC reserve interest, Base sequencer fees, and platform fees from its infrastructure and marketplace. By 2030, agent-related revenue could contribute billions annually. Supported by favorable regulatory tailwinds like the CLARITY Act, Coinbase's valuation should reflect its role as critical financial infrastructure, not just a brokerage, with a clear path to becoming a $300 billion company.

链捕手05/08 14:51

Why Coinbase Will Be the Biggest Winner in the AI Financial Era?

链捕手05/08 14:51

When Wallets Start Embedding AI Agent: The New Interaction Paradigm of ERC-8211, Why Is It Worth Attention?

The article discusses ERC-8211, a new Ethereum standard developed by Biconomy and the Ethereum Foundation, aimed at enabling dynamic, multi-step on-chain execution for AI agents and complex DeFi workflows. Currently, AI agents can plan multi-step operations (e.g., swapping ETH for USDC, bridging, and depositing into a protocol), but execution fails due to static parameters in existing batch processing standards like ERC-4337. These static batches freeze values (e.g., swap amounts) at signing, making them vulnerable to slippage, gas changes, and chain state shifts, often resulting in partial or failed transactions. ERC-8211 introduces a programmatic approach ("From transactions to programs") with three primitives: - **Fetchers**: Retrieve real-time on-chain values (e.g., current balance) during execution. - **Constraints**: Enforce conditions (e.g., minimum output amount) before proceeding. - **Predicates**: Act as gatekeepers between steps (e.g., wait for cross-chain funds to arrive). This allows atomic execution of multi-step transactions with dynamic, condition-based flow, reducing failure risks and idle capital. The standard is compatible with account abstraction (e.g., ERC-4337) and shifts wallets from mere signers to interpreters of intent-based programs, enhancing security and usability for AI-driven DeFi. It represents the next evolution in on-chain interaction, enabling one signature to execute a dynamic, outcome-oriented program.

marsbit04/20 10:21

When Wallets Start Embedding AI Agent: The New Interaction Paradigm of ERC-8211, Why Is It Worth Attention?

marsbit04/20 10:21

OpenClaw Goes Viral, Exposing 12 Types of Critical Vulnerabilities; MCP Protocol Security Benchmark Released

The rapid rise of OpenClaw and similar AI Agents highlights the growing security risks associated with the Model Context Protocol (MCP), a standard enabling models to interact with external tools. Researchers from Beijing University of Posts and Telecommunications introduced MSB (MCP Security Bench), a security benchmark identifying 12 types of attacks across MCP’s three core stages: task planning, tool invocation, and response handling. These include name collision, false errors, retrieval injection, and mixed attacks. Notably, more capable models are often more vulnerable, with an average attack success rate (ASR) of 40.35%. The study also proposes a new metric, Net Resilient Performance (NRP), to balance security and utility. MSB evaluates agents in real-world environments, demonstrating that attacks remain effective even when harmless tools are present. The work underscores the urgent need for robust safety measures as AI agents gain broader tool-use capabilities.

marsbit04/16 04:04

OpenClaw Goes Viral, Exposing 12 Types of Critical Vulnerabilities; MCP Protocol Security Benchmark Released

marsbit04/16 04:04

Who is the Truly Strongest Agent in OpenClaw? Leaderboard of 23 Real-World Task Evaluations Released

This report presents a comprehensive benchmark evaluating the performance of AI coding agents on 23 real-world OpenClaw tasks, focusing solely on the core metric of success rate. The transparent and reproducible testing methodology employs three scoring methods: automated checks, an LLM judge (Claude Opus), and a hybrid approach. The diverse task set covers areas like code/file operations, content creation, research, system tools, and memory persistence. The top 10 models by success rate (Best % / Avg %) are: 1. anthropic/claude-opus-4.6 (93.3% / 82.0%) 2. arcee-ai/trinity-large-thinking (91.9% / 91.9%) 3. openai/gpt-5.4 (90.5% / 81.7%) 4. qwen/qwen3.5-27b (90.0% / 78.5%) 5. minimax/minimax-m2.7 (89.8% / 83.2%) Claude Opus 4.6 leads in peak performance, while Arcee's Trinity demonstrates superior average success rate stability. The Qwen series shows strong cost-performance potential with multiple entries in the top ten. All task definitions and scoring logic are publicly available for independent verification.

marsbit04/08 14:45

Who is the Truly Strongest Agent in OpenClaw? Leaderboard of 23 Real-World Task Evaluations Released

marsbit04/08 14:45

Rhythm X Zhihu Co-host Web4.0 Theme Event: When AI Agent Takes Over On-Chain Permissions

Most discussions about Web 4.0 miss the point. The real question is not whether it is a marketing trend, but rather: who is gaining control over the underlying permissions of the internet? Historically, each iteration of the web has involved a transfer of authority downward: Web 1.0 was read-only; Web 2.0 allowed users to write but platforms owned the data; Web 3.0 enabled true ownership through on-chain assets and private keys. Web 4.0 continues this trend, but the transfer is not to users—it is to AI Agents. The current infrastructure is human-centric, designed around human limitations like attention span and memory. But AI Agents don’t need intuitive UIs, password resets, or sleep. This creates a core tension: an internet built for humans is now being used by entities without human constraints. Two key shifts are underway: the decline of traditional front-end interfaces (replaced by API-driven machine communication) and the replacement of human-centric identity systems (like passwords) with granular, on-chain permissions. A critical enabler is crypto infrastructure. AI can make rapid decisions but lacks independent payment channels and asset sovereignty. Crypto fills this gap. Platforms like Hyperliquid offer 24/7 markets, ideal for non-stop Agent operation. When Agents control wallets and private keys, they can both decide and execute—forming complete economic entities. The real narrative of Crypto × AI isn’t just buzzword synergy—it’s the convergence of complementary infrastructures. The deeper shift is not which products will succeed, but how the rules of economic systems will change when AI becomes a primary on-chain participant, operating at scale and speed beyond human capability.

marsbit04/01 09:10

Rhythm X Zhihu Co-host Web4.0 Theme Event: When AI Agent Takes Over On-Chain Permissions

marsbit04/01 09:10

AI Agent Economic Infrastructure Research Report (Part 2)

This report analyzes the AI Agent economy, focusing on OpenClaw—a local AI agent that operates autonomously across 20+ platforms like WhatsApp and Slack. It examines OpenClaw's technical architecture, including its message channels, security gateway, ReAct-based reasoning loop, and memory system, highlighting issues like context loss, security risks, and non-deterministic behavior. The study identifies key structural problems in the Agent economy, such as context immobility (locked to local machines) and the "coordination paradox" where multi-agent collaboration lacks trust and verifiability. It argues that crypto infrastructure (e.g., ERC-8004 for identity, x402 for payments) becomes essential only when agents operate across untrusted, cross-platform environments without pre-established trust—enabling micro-payments, decentralized reputation, and auditable logs. While traditional payment giants (e.g., Stripe, Visa) may dominate early adoption, crypto solutions could prevail in the long term due to their superiority in handling high-frequency, cross-border microtransactions and programmable permissions. The report concludes that infrastructure providers (e.g., those offering computation, routing, security) may capture more value than individual agents, and that "Product-Agent Fit" will replace traditional business models, shifting focus to API reliability, data structuring, and chain-verifiable service quality.

marsbit03/24 08:08

AI Agent Economic Infrastructure Research Report (Part 2)