# Agent Economy Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Agent Economy", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Research Status Report on AI Payment Protocols: The New Paradigm of Payment in the Agent Economy

AI Payment Protocol Research Status Report: A New Paradigm for Agent Economy Payments This report analyzes the rapid evolution of payment infrastructure designed for AI agents, driven by major industry moves from OpenAI, Google, Visa, Mastercard, Coinbase, and Stripe between late 2025 and early 2026. The core challenge is that traditional payment systems, built for human interaction, are incompatible with AI agents that require machine-readable interfaces, millisecond authorizations, and support for high-frequency micro-transactions. The emerging infrastructure is forming a two-layer architecture: 1. **Intent Orchestration Layer:** Translates agent intent into executable transactions. Two key segments exist: * **Agent Shopping for Humans:** Focuses on enabling agents to shop on human-centric e-commerce platforms. Protocols include OpenAI & Stripe's closed **Agentic Commerce Protocol (ACP)** and Google's open **Universal Commerce Protocol (UCP)** for standardized merchant interfaces. * **Agent-to-Agent (A2A) Transactions:** Solves trust issues in environments without human merchants, using blockchain-based smart contracts like **ERC-8183** for task execution and payment escrow. 2. **Settlement Layer:** Handles the actual movement of funds. Key competing protocols include: * **Stripe's SPT & Card Network Upgrades (Visa/Mastercard):** Extend existing card payments with delegated authorization tokens, ideal for standard retail but unsuitable for micro-payments. * **Coinbase's x402:** Uses the HTTP 402 status code for on-chain atomic swaps with stablecoins (e.g., USDC), enabling low-fee, account-less payments. * **Circle's Nanopayments:** An x402 enhancement for extreme micro-payments using off-chain batch processing. * **MPP (Stripe & Tempo):** A unified, pluggable framework supporting multiple payment rails (stablecoins, fiat, card tokens, Lightning Network) within a single "payment session." **Current State & Opportunities:** While core protocols are live, commercial adoption lags due to fragmentation in the intent layer. The key opportunities are: * **Settlement Layer:** Building multi-rail Agent wallets that abstract complexity and can route transactions across different payment protocols is a definitive, high-value opportunity. * **A2A Economy:** A significant blue-ocean opportunity exists in creating API services for agents to consume (e.g., data analysis, content creation) on a pay-per-use model (e.g., via HTTP 402), moving beyond subscription models. The future will see a dual-track evolution: consumer-facing agent commerce relying on card rails, and A2A transactions thriving on stablecoin rails. The inflection point will be when enterprises delegate spending authority to agents, making multi-rail wallets and service directories critical, unclaimed infrastructure.

marsbit03/31 14:46

Research Status Report on AI Payment Protocols: The New Paradigm of Payment in the Agent Economy

marsbit03/31 14:46

Dragonfly Partner: Most Agents Will Not Conduct Autonomous Transactions, How Will Crypto Payments Win?

Dragonfly partner Robbie Petersen argues that the prevailing narrative about AI agents driving massive adoption of crypto payments is flawed. He contends that most agents—whether enterprise or consumer-facing—will not engage in autonomous transactions. Enterprise agents, which will constitute the majority of agent deployments, are an evolution of SaaS and will operate within closed organizational structures. They automate internal tasks (e.g., sales, accounting, legal review) without spending autonomously. Costs for API calls or data are abstracted into bulk, pre-negotiated invoices from platform providers, not paid per transaction. Consumer agents will act more as research assistants than independent economic actors. While they will excel at coordination and discovery (e.g., finding travel options), humans will retain final decision-making and payment authorization for all but the most repetitive purchases due to the qualitative, situational nature of consumer choice. Petersen identifies a narrow third category where crypto could win: permissionless, bottom-up agents (e.g., those inspired by OpenClaw) that operate truly autonomously and require high-frequency, granular payments. For these, blockchain's key advantage is not just technical efficiency but its open, permissionless nature, allowing experimental development without regulatory hurdles. However, he concludes that the larger bottleneck to a full autonomous agent economy is not payment infrastructure but human-centric legal, regulatory, and social frameworks.

marsbit03/24 05:02

Dragonfly Partner: Most Agents Will Not Conduct Autonomous Transactions, How Will Crypto Payments Win?

marsbit03/24 05:02

From Runes To AI Agent Infrastructure: $CRYPTOBURG Lands on Gate.io Crypto Burger Ushers in the “Agent Economy” Era on Bitcoin

Gate.io has listed $CRYPTOBURG, the native asset of the Bitcoin Runes protocol, marking a significant shift from early cultural consensus to building decentralized AI agent infrastructure on Bitcoin. This move transitions the Bitcoin ecosystem from pure asset issuance to an infrastructure phase focused on AI Agents. Crypto Burger is constructing a global, distributed, AI-native autonomous agent network, enabling users to create, own, and operate verifiable AI Agents with independent decision-making and asset management capabilities. This open system challenges centralized AI monopolies and allows agents to engage in high-frequency, automated interactions and value settlements using $CRYPTOBURG. The project introduces a "State Anchoring + External Execution" architecture, using Bitcoin as a secure settlement layer while offloading complex agent operations to an external execution layer. This enables programmable BTC and Runes payments, transforming static Bitcoin assets into dynamic capital. Crypto Burger aims to democratize AI agent creation, fostering a collaborative, cross-scenario A2A economy where value is directly attributed to users via on-chain protocols, redistributing AI productivity dividends to ordinary participants.

TheNewsCrypto02/25 12:45

From Runes To AI Agent Infrastructure: $CRYPTOBURG Lands on Gate.io Crypto Burger Ushers in the “Agent Economy” Era on Bitcoin

TheNewsCrypto02/25 12:45

Web3 Projects with Cash Flow: Is Token Issuance an Amplifier or a Burden?

The article "The Next Stop for Tokens: Does a Project with Cash Flow Really Need to Issue a Token?" explores whether Web3 projects with existing cash flow should issue tokens. It argues that while token generation events (TGEs) can act as accelerators by attracting global attention and liquidity, they often become liabilities due to the burdens of market making, exchange negotiations, and price management. Short-term token prices are influenced by liquidity, attention, and token distribution, but long-term value depends on value capture mechanisms. Projects like Hyperliquid demonstrate successful value capture by linking protocol revenue to token buybacks, whereas many others fail to align token value with real usage or revenue. The author suggests that the future of tokens may lie in the "machine economy," where agents use crypto for micropayments and automated settlements, as seen in protocols like x402. Ultimately, TGEs should serve as network lubricants rather than exit strategies, with stricter regulations potentially separating equity-based financing from token-based utility. The industry must eliminate low-quality projects to allow robust infrastructure to emerge.

比推02/24 07:17

Web3 Projects with Cash Flow: Is Token Issuance an Amplifier or a Burden?

比推02/24 07:17

The Next Stop for Tokens: Does a Project with Cash Flow Really Need to Issue a Token?

Token's Next Stop: Does a Profitable Project Really Need a Token? Projects with clear cash flow, distribution, and compliance path may not need a token. While a Token Generation Event (TGE) can act as a global "accelerator" for growth and attention, it also introduces significant burdens like price expectation management and liquidity coordination. For many projects without real products, TGEs simply become exit strategies, harming the market. Short-to-mid-term token prices are primarily driven by three factors: liquidity, market attention, and token supply structure. The long-term value, however, depends on value capture—whether the token can effectively capture and reflect the protocol's real revenue, as seen in projects like Hyperliquid. Without a clear value accrual mechanism, tokens rely solely on speculation. The future may lie in the "machine economy," where tokens serve as a native settlement layer for autonomous agents (AIs) to pay for services like API calls, enabling pay-per-use models. This could make crypto a fundamental infrastructure for automated transactions. The current market downturn is compared to the dot-com bubble, cleansing the space of low-quality projects. The key is to build real utility and value capture, separating the functions of fundraising (equity) and network incentives (tokens).

marsbit02/24 05:38

The Next Stop for Tokens: Does a Project with Cash Flow Really Need to Issue a Token?

marsbit02/24 05:38

Coinbase and Solana Make Consecutive Moves, Agent Economy Set to Become the Next Big Narrative

On February 11, 2026, Coinbase announced the launch of Agentic Wallets, a wallet specifically designed for AI agents to independently hold and manage funds. Unlike the earlier AgentKit, which required developers to embed wallet functionality, Agentic Wallets offer a plug-and-play solution, allowing users to equip any AI agent with a wallet in under two minutes. These wallets enable agents to perform tasks like authentication, sending/receiving funds, payments, trading, and yield farming, all with programmable spending limits and security features to prevent fund depletion. Transactions occur on the Base chain with no gas fees for agents. Coinbase's goal is to foster an agent economy on Base, transforming AI agents from "brains without hands" into autonomous entities capable of executing financial actions. Potential applications include autonomous DeFi management, agent-driven commerce, content tokenization, and multi-chain operations. Shortly after Coinbase's announcement, Solana responded with a similar solution, lobster.cash, signaling the start of a new competitive landscape in on-chain agent economies. This development is poised to become a major narrative in the crypto space.

marsbit02/13 03:07

Coinbase and Solana Make Consecutive Moves, Agent Economy Set to Become the Next Big Narrative

marsbit02/13 03:07

a16z Latest Research: Why Blockchain is a Necessity in the AI Era?

A16z report argues that blockchain is essential in the AI era to address the fundamental challenges posed by AI's ability to cheaply and convincingly mimic human activity at scale. The internet lacks a native way to distinguish humans from machines while preserving privacy and usability. Blockchain addresses this by: 1. **Raising the cost of AI impersonation**: Decentralized proof-of-personhood systems (e.g., World ID) make it easy for one human to participate but prohibitively difficult to fake multiple identities, restoring scarcity and increasing the marginal cost of large-scale attacks. 2. **Creating decentralized identity systems**: Unlike centralized IDs, blockchain-based systems are user-custodied, resistant to censorship, and avoid single points of failure. 3. **Providing portable "passports" for AI agents**: Blockchain enables universal, portable identity layers that allow AI agents to operate across platforms with consistent credentials, permissions, reducing forgery risk. 4. **Enabling machine-scale payments**: Blockchain infrastructure (e.g., L2s, rollups) supports microtransactions and nano-payments essential for AI-to-AI commerce, which traditional finance cannot handle. 5. **Enforcing privacy in AI systems**: By integrating zero-knowledge proofs, blockchain allows verification of attributes without exposing raw data, depriving AI of the data needed for imitation and making privacy a core defense. In summary, blockchain rebuilds trust by making impersonation expensive, decentralizing identity, ensuring privacy by default, and giving AI agents native economic rails. It is a critical component for an AI-native internet that operates efficiently without eroding trust.

marsbit02/05 06:06

a16z Latest Research: Why Blockchain is a Necessity in the AI Era?

marsbit02/05 06:06

Five Institutions Outline the 2026 Crypto Blueprint: Will the 'Super App' Arrive? Is the 'Four-Year Cycle' Ending?

Five major crypto research institutions (Coinbase, a16z Crypto, Four Pillars, Messari, and Delphi Digital) forecast a shift in 2026, marking the end of the traditional four-year speculative cycle driven by events like Bitcoin halvings. They predict a new era of structural maturity, where value accrues to "ownership tokens" with revenue-sharing models and projects with real utility, not just short-term speculation. Key trends include the rise of an "Agent Economy," where AI agents autonomously manage assets and execute complex DeFi strategies, necessitating new infrastructure like KYA (Know Your Agent) protocols and crypto-native settlement layers for microtransactions. Regulatory clarity in the U.S. is expected to catalyze the development of user-friendly "super apps" that abstract away blockchain complexity, integrating payments, investing, and lending seamlessly with stablecoins. Additional consensus points include the growth of tokenized real-world assets (RWA) with actual utility, the emergence of privacy as a critical competitive advantage for blockchains, and the maturation of social trading. Institutional adoption will deepen via ETFs, cementing crypto as a standard portfolio asset class driven by macro liquidity rather than mere speculation.

marsbit12/25 08:21

Five Institutions Outline the 2026 Crypto Blueprint: Will the 'Super App' Arrive? Is the 'Four-Year Cycle' Ending?