# Пов'язані статті щодо Agent Commerce

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Agent Commerce", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Uncovering the Truth About Agent Commerce, Payments, and Infrastructure

Decoding Agent Commerce, Payments, and Infrastructure: The Reality Over the past year, I've been building infrastructure for the Agent economy, engaging with major players like Stripe, Visa, Coinbase, Google, and dozens of startups. A clear conclusion emerges: true, large-scale demand does not yet exist. Startups face structural challenges. Data points illustrate this gap. Stripe's Agent commerce platform has over 1,000 merchants but only single-digit transacting agents. Visa's Agent payment token requires 9-month KYC and a $250M revenue threshold, accessible only to giants like Amazon. On-chain analysis reveals actual daily Agent transaction volume is around $17k, half of which are test transactions. The article analyzes four potential markets: **1. Agent-to-Merchant (A2M):** Current AI shopping UX is often inferior to traditional e-commerce for visual, comparison-heavy purchases (clothing, electronics). Chat interfaces are a step back. Real merchant interest is defensive "Agent Engine Optimization," fearing future obsolescence, not current demand. Potential exists in high-frequency, low-decision purchases (e.g., food delivery) or simplifying terrible UX (complex checkouts, non-native shoppers), but these require massive consumer distribution channels dominated by giants like DoorDash and Amazon. **2. Agent-to-API (A2A):** Developers already have subscriptions and billing for core APIs (compute, data). The argument for micro-payments via crypto for sub-dollar API calls is addressed by pre-paid balances today. The deeper issue is supplier resistance; major SaaS firms rely on enterprise contracts, not fractional cent pricing. Opportunity lies in the long tail of niche services, but this is a smaller market catering to developers, a historically low-paying group. **3. Agent-to-Agent (A2A):** This remains a theoretical long-term vision with near-zero current transaction volume. It involves unique challenges: discovery, trust, negotiation, dispute resolution. When it materializes, it will require a fundamentally new settlement infrastructure for high-speed, variable-value, multi-party transactions. It's a real long-term bet, but not the current market. **4. Agent-to-Finance (A2F):** This is the only category with existing, paying demand. Integrating AI into financial workflows (trading, portfolio management) is a natural evolution and enables new capabilities like autonomous rebalancing. However, competition favors incumbents with regulatory licenses, compliance infrastructure, and existing client relationships. **The Real Issue:** Why is infrastructure still being built? Incumbents can afford long-term bets, and payment companies see every problem as a nail for their payment hammer. However, payment is just one piece. The core challenge is *coordination*—orchestrating work between Agents and humans, verifying outcomes, and settling results. Payment is part of settlement, which is part of coordination. Companies that solve the coordination problem will subsume payments, not the other way around. Startups lack the infinite runway of giants and must find today's real market, which, after a year of exploration, lies outside these four categories—in an area with real, growing, and underserved activity.

marsbit06/07 06:08

Uncovering the Truth About Agent Commerce, Payments, and Infrastructure

marsbit06/07 06:08

Virtuals Collaborates with Ethereum Foundation to Release ERC-8183: A Trustless On-Chain Commerce Protocol

ERC-8183: Trustless On-Chain Commerce Protocol for AI Agents Virtuals Protocol and the Ethereum Foundation dAI team have jointly proposed ERC-8183, a standard for enabling trustless on-chain commercial interactions between AI agents. This is not merely a payment protocol but a comprehensive framework for task specification, escrow, delivery verification, and evaluator certification—forming the infrastructure for agentic commerce. The proposal addresses the core challenge of trust in AI-to-AI transactions, where traditional platforms or intermediaries are undesirable. It introduces a minimal "Job" primitive involving three parties: Client, Provider, and Evaluator. A Job progresses through states—Open, Funded, Submitted, and Terminal (Completed/Rejected/Expired)—ensuring programmable, neutral execution via smart contracts. Funds are held in escrow and released only upon evaluator approval of the work submitted. A key innovation is the modular "Hooks" system, allowing custom logic—such as bidding, reputation gating, or privacy preservation—to be added without modifying the core standard. ERC-8183 synergizes with ERC-8004 (Agent Identity and Reputation), creating a closed loop of discovery, transaction, and reputation accumulation. This standard aims to support an open, permissionless agent economy, enabling AI agents to transact at scale without relying on centralized platforms or traditional trust mechanisms. It is designed for extensibility and adaptability, anticipating diverse future use cases in decentralized AI commerce.

marsbit03/10 05:47

Virtuals Collaborates with Ethereum Foundation to Release ERC-8183: A Trustless On-Chain Commerce Protocol

marsbit03/10 05:47

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