# Пов'язані статті щодо AI Payments

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

Solana Price Forecast for August 2026: Can $19 Million from Morgan Stanley and 330,000 Korean Merchants Break SOL's Triangle?

**Solana Price Forecast for August 2026: Key Catalysts and Technical Setup** As of July 31, Solana (SOL) trades at $73.59, consolidating within a triangle pattern formed between its May peak (~$98) and June low (~$60.29). A decisive breakout from this pattern is anticipated. Key resistance levels are clustered around $74.79 (0.382 Fib), $75.33 (20-day EMA), $76.01 (50-day EMA), and a critical zone near $79 (0.5 Fib & 100-day EMA). Support lies at $73.42, $69.25 (0.236 Fib), and the June low of $60.29. Two major institutional catalysts emerged recently: 1. **Morgan Stanley's MSOL ETF:** Launched July 28, it saw $19.06 million in inflows on its second day—the largest single-day inflow for any US SOL ETF since mid-May. 2. **KSNET Partnership:** The Solana Foundation signed an MoU with South Korean payment processor KSNET (serving 330,000 merchants) to explore integrating Solana Pay for domestic and AI-powered transactions. Historically, August has been volatile for SOL, marked by extreme gains in 2020 and 2021 but otherwise weak performance. The forecast for August 2026 is bifurcated: * **Bullish Case:** An upside triangle breakout, sustained MSOL inflows, and positive momentum from the KSNET news could propel SOL toward the $79 resistance cluster, especially if the CLARITY Act is passed by August 8. * **Bearish Case:** A downside break below $73.42, fading excitement around the new ETF, and stalled regulatory progress could see SOL retest support near $69.25, exacerbated by macro risks.

cryptonews.ru07/31 12:51

Solana Price Forecast for August 2026: Can $19 Million from Morgan Stanley and 330,000 Korean Merchants Break SOL's Triangle?

cryptonews.ru07/31 12:51

MoonPay Launches Service for Payments via ChatGPT and Claude

MoonPay has launched PayBox, a non-custodial payment wallet and storage service that enables users to make transactions directly within AI chatbot dialogues, such as ChatGPT and Claude. To use PayBox, users connect it to an AI model via a connector on the official website. The service then allows for a range of actions, including booking flights, swapping crypto assets, staking, and online shopping—essentially any payment supporting Coinbase's x402 protocol. Upon a user's request, the chatbot constructs the transaction for user confirmation, a process that can be automated with pre-set limits. Support for Gemini and Grok AI models is expected within a month. MoonPay emphasizes security as a top priority, stating that AI agents never have access to user wallet keys, card details, or funds. Keys are secured using Multi-Party Computation (MPC) combined with Trusted Execution Environments (TEE), preventing MoonPay or the AI from independently signing transactions. The service is built on the infrastructure of Sodot, a company acquired by MoonPay in 2026, which secures over $50 billion in assets. PayBox is designed to address common fraud vectors in agent-based payments, such as key theft, card number leaks, and systemic vulnerabilities, by closing each potential attack path individually.

cryptonews.ru07/29 17:45

MoonPay Launches Service for Payments via ChatGPT and Claude

cryptonews.ru07/29 17:45

Vying for the AI Payment Track: Traditional Card Networks Face Off Against Coinbase

As AI agents increasingly conduct commercial transactions, a battle for control over the underlying payment infrastructure is unfolding. The competition centers on two divergent and incompatible technical approaches for autonomous AI payments. One camp, led by traditional card networks Visa and Mastercard, relies on tokenized card credentials within the established banking rails. Visa's "Intelligent Commerce" and Mastercard's "Agent Pay" services extend their existing tokenization technology to authorized AI agents for consumer retail transactions, leveraging decades of fraud protection and dispute resolution systems. Their partners include major AI firms like Anthropic, OpenAI, and Microsoft. The opposing camp, spearheaded by Coinbase, advocates for an open internet protocol using stablecoins. Coinbase's x402 protocol utilizes the HTTP 402 status code to enable direct, machine-to-machine micropayments with USDC on-chain. This model eliminates card fees and is designed for high-frequency, low-value transactions between AI agents, such as paying for API calls or data streams, where traditional card costs are prohibitive. Currently, application scenarios are clearly divided. Mainstream consumer-facing AI shopping services (e.g., ChatGPT's "one-click checkout," Amazon's AI-assisted shopping) predominantly use card channels due to their mature consumer protections and merchant networks. Conversely, the stablecoin channel dominates machine-to-machine payments, as seen in Amazon Bedrock's core payment service using Base blockchain. Significantly, traditional card networks are not solely defending their turf; they are also investing in the stablecoin arena. Visa has rapidly expanded its stablecoin settlement volume and partnered with Coinbase on interoperability, while Mastercard moved to acquire stablecoin platform BVNK. This dual-strategy indicates their intent to become the fee-collecting gateway for all payment flows, regardless of the underlying rail. The short-term outlook is for coexistence: cards for personal retail, stablecoins for machine transactions. The long-term outcome hinges on whether AI-driven commerce will resemble traditional retail or evolve into a vast network of machine micropayments. Visa and Mastercard's hedging strategy suggests they are prepared for either future, while companies betting on a single channel face greater risk.

Foresight News06/08 09:04

Vying for the AI Payment Track: Traditional Card Networks Face Off Against Coinbase

Foresight News06/08 09:04

The Next Generation of Payments Is Not in the Payment Layer

The next generation of payments won't be designed within the payment layer itself. This article argues that historical payment innovations (e.g., online banking, mobile wallets) emerged from new transactional scenarios, not from optimizing existing payment systems. The new scenario is the Agent economy. Know Your Agent (KYA) is not merely a payment-layer upgrade for efficiency. It is the foundational infrastructure layer for the Agent economy. KYA’s five layers—Agent identity, authorization scope, intent signature, accountability chain audit, and credit rating—primarily serve broader needs like cross-platform identification, AI alignment, and permission management. Payment is just one application built on top of this KYA foundation. Stripe’s strategy exemplifies this shift. Its focus on "economic infrastructure for AI," investments in protocols like the Agentic Commerce Protocol (identity/session layer), stablecoin infrastructure, embedded wallets, and moving risk management (Radar) to the user lifecycle all indicate it is building the KYA layer, not just optimizing payments. While ultimate legal liability remains with a human (as laws like AB 316 stipulate), KYA enables traceability in a distributed,网状 responsibility chain involving multiple entities (user, Agent platform, model provider, etc.). It makes accountability verifiable where previously it was opaque. The conclusion: A new class of economic actors (Agents) forces a new infrastructure layer (KYA) to emerge. This layer redefines identity, authorization, and accountability. On top of it, the next generation of payment will reorganize and emerge from the demands of the scenario, not from within the traditional payment system.

链捕手05/10 03:10

The Next Generation of Payments Is Not in the Payment Layer

链捕手05/10 03:10

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

Understanding x402 and MPP: Two Approaches to Agent Payments

Stripe's MPP and x402 represent two competing approaches to enabling machine-to-machine payments, both leveraging the long-dormant HTTP 402 status code ("Payment Required"). x402, led by Coinbase, is a minimalist protocol that embeds payment directly into HTTP requests. It requires no accounts, API keys, or intermediaries. A server returns a 402 response with payment details; the client pays on-chain and resubmits the request with a proof. It's open-source, chain-agnostic (currently supporting Base, Polygon, Solana), and designed for open, permissionless systems. However, current usage is low, with small microtransactions. MPP, developed by Stripe and Tempo, is a full-stack solution built for high-frequency agent transactions. Its core innovation is sessions, allowing an agent to pre-authorize a spending limit and make numerous micro-payments within it without repeated on-chain transactions. It runs on the Tempo blockchain, optimized for high throughput and sub-second confirmations. Crucially, it integrates with Stripe's existing compliance, risk, and fiat infrastructure, including support for credit cards via Shared Payment Tokens (SPTs). While x402 offers simplicity and decentralization, MPP provides scalability and enterprise-grade features. Stripe supports both, aiming to capture agent payment flows regardless of the underlying protocol. The ecosystem is still experimental, but major players like Google, Visa, and Anthropic are involved. The choice depends on the use case: x402 for open, long-tail applications, and MPP for commercial, high-volume scenarios.

marsbit03/22 03:30

Understanding x402 and MPP: Two Approaches to Agent Payments

marsbit03/22 03:30

Why Did Five Giants Jump In Within a Week to Open Bank Accounts for AI?

The article discusses a significant trend where five major companies—Stripe, Paradigm, Visa, Mastercard, and Coinbase—collectively launched initiatives within a week to enable AI systems to autonomously conduct financial transactions. Stripe and Paradigm introduced Tempo, a $5 billion blockchain project focused on machine-to-machine payments via its Machine Payments Protocol (MPP). Visa launched a command-line tool for AI agents to make credit card payments, while Coinbase upgraded its x402 protocol to support broader token payments. Mastercard acquired stablecoin firm BVNK for $1.8 billion to facilitate crypto-based transactions. World, co-founded by Sam Altman, released an identity verification toolkit for AI agents. The push stems from the growing capability of AI agents to perform complex tasks independently, creating a need for payment infrastructure that doesn’t require human intervention at every step. Traditional payment giants see an opportunity to leverage their existing networks, while crypto companies argue that blockchain-based systems offer a more seamless solution for non-human entities. Despite the high valuations and investments, current transaction volumes remain low (e.g., x402 recorded ~$65k in 24 hours). The situation parallels past infrastructure booms, where early investment outpaced immediate demand. The race to dominate AI payments is underway, but widespread adoption may take time.

比推03/19 13:15

Why Did Five Giants Jump In Within a Week to Open Bank Accounts for AI?

比推03/19 13:15

AI Payment Undercurrents: Google Brings 60 Allies, Stripe Builds Its Own Entire Road

The AI payment war is intensifying as major tech companies race to control the infrastructure for AI-driven transactions. Google has formed an alliance with over 60 traditional financial and tech companies, including Mastercard and PayPal, to establish the "AI Agent Payment Protocol." Meanwhile, Stripe has taken a more independent approach by acquiring key companies like Bridge (for stablecoin capabilities) and Privy (for wallet technology), co-developing the Tempo blockchain with Paradigm, and launching the Agentic Commerce Protocol (ACP) with OpenAI. This allows AI platforms like ChatGPT to enable seamless, in-chat payments without redirecting users. At the heart of the conflict is the "toll" for processing AI transactions. Stripe’s strategy involves building a full-stack solution—from stablecoin accounts and blockchain infrastructure to banking licenses—while Google’s coalition relies on established financial networks. Notably, Circle and its USDC stablecoin emerge as a likely winner regardless of which camp dominates, as both ecosystems depend on compliant, auditable digital dollars for settlement. The broader implication is the need for a financial system capable of supporting autonomous AI agents conducting economic activities. While Stripe envisions a future where AI handles end-to-end transactions, Google’s alliance prefers integrating AI with existing human-centric systems. Regardless, the adoption of stablecoins for AI payments is accelerating, with regulatory and consumer protection questions remaining unresolved. The infrastructure is being built rapidly, and the toll collection has already begun.

marsbit02/23 07:34

AI Payment Undercurrents: Google Brings 60 Allies, Stripe Builds Its Own Entire Road

marsbit02/23 07:34

2026 Chinese New Year: Why Are Giants Splurging 4.5 Billion in Frenzied Subsidies for AI Payments?

The 2026 Chinese New Year saw tech giants spending over 4.5 billion yuan in subsidies to promote AI-powered voice transactions—a figure surpassing historical spending peaks in past tech wars. Despite the efficiency of existing payment methods like QR codes, companies are aggressively pushing voice-based AI payment systems. This shift stems from a deeper battle over controlling user "intent" rather than mere transactions. The article contrasts two approaches: vertical integration, exemplified by Alibaba’s Qwen, which operates within its own closed ecosystem (e-commerce, payments, logistics), and horizontal standardization, as attempted by ByteDance’s Doubao phone, which aimed to interoperate across platforms but was blocked by major players like Tencent and Alibaba. The core conflict is about who captures and fulfills user intent—the next frontier in reducing decision-making friction and dominating future commercial gateways. While vertical integration strengthens existing ecosystems, horizontal models face resistance due to entrenched interests. The massive subsidies are investments in payment technology but in securing priority access to user intentions, shaping the next decade of digital commerce.

marsbit02/19 03:58

2026 Chinese New Year: Why Are Giants Splurging 4.5 Billion in Frenzied Subsidies for AI Payments?

marsbit02/19 03:58

The Year of AI Payments: When Your Agent Learns to Pay on Its Own

English Summary: The era of AI-driven automation is approaching, requiring AI agents to possess native payment capabilities for true autonomy. Major tech companies like Google (with AP2) and crypto-native projects (via ERC-8004 and x402) are developing infrastructure for agent-level payments. Google’s AP2 uses a three-layer mandate system (Intent, Cart, Payment) built atop existing platforms like Google Pay, prioritizing convenience and consumer protection within a controlled ecosystem. In contrast, crypto approaches emphasize decentralization: ERC-8004 provides verifiable on-chain identity via NFT credentials, while x402 enables autonomous stablecoin payments via smart contracts, allowing agent-to-agent commerce without intermediaries. The key divergence is between platform-controlled, closed systems (prioritizing safety) and open, protocol-based models (prioritizing user sovereignty and broader interoperability). Both aim to enable AI agents to autonomously execute tasks like shopping or micropayments, but differ in architecture, trust models, and scope of use cases.

比推02/13 20:43

The Year of AI Payments: When Your Agent Learns to Pay on Its Own

比推02/13 20:43

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