Bryan Vong of Foresight Ventures pointed out that in the six months from September 2025 to March 2026, every major player in the global payments space made significant moves. OpenAI and Stripe jointly released the Agentic Commerce Protocol (ACP), and Google launched the Universal Commerce Protocol (UCP). Within a week, Visa and Mastercard successively released their respective agent payment frameworks. In the two months that followed, Coinbase’s x402 protocol cumulatively processed over 15.00 million transactions on the Base chain. In March 2026, Stripe and Tempo jointly released the Machine Payments Protocol (MPP).
These intensive actions by tech giants and financial institutions are no coincidence, but rather a collective response from the payments industry to the same challenge: when AI Agents become the most active consumers on the internet, the existing payment infrastructure is fundamentally unable to meet their operational needs. Every design of the traditional payment system is based on the premise of “human operation,” while the Agent’s operating logic requires machine-readable standard interfaces, millisecond-level authorization responses, and infrastructure suitable for high-frequency, small-value settlements. This infrastructure battle is forming a clear two-layer architecture: the intention layer defines “who is the merchant, how to match,” and the settlement layer defines “how funds actually flow.”
Part 1: Intention Orchestration Layer. The intention orchestration layer is responsible for translating the Agent’s transaction intentions into an executable full process. In the “Agent Shopping on Behalf of Humans” track, ACP was jointly released by OpenAI and Stripe in September 2025, aiming to complete transactions through delegated payments; UCP was announced by Google in January 2026, achieving a long-term layout of open standards by having merchants publish JSON format configuration files. The two represent two different market propositions: a closed ecosystem and open standards.
In the “Agent-to-Agent Transactions” track, the core contradiction lies in how to ensure the reliability of value exchange in a zero-trust environment. The ERC-8183 and ERC-8004 protocols were jointly launched by the Ethereum Foundation’s dAI team and Virtuals Protocol in March 2026, solving the trust problem through a three-party contract mechanism. Currently, approximately 24,000 Agents have been registered across the network. Although the model is innovative, large-scale developer adoption still requires time.
Part 2: Settlement Layer. Currently, there are five protocols competing in this field: Stripe’s Delegated Payment/SPT extends the existing bank card ecosystem; Visa and Mastercard’s smart token technology upgrades traditional card organizations; Coinbase’s x402 natively integrates payments using the HTTP 402 status code; Circle’s Nanopayments optimizes ultra-high-frequency, ultra-small-value payment scenarios; and MPP creates a unified, pluggable multi-rail payment framework that supports multiple payment paths, including stablecoins, fiat currency, and the Lightning Network.
Part 3: Status Quo, Challenges, and Opportunities. In the past six months, the construction of related protocols has been basically completed, but the commercialization process is generally lagging. The current core challenge lies in the fragmentation of the intention orchestration layer, and platforms that control traffic entrances tend to build closed ecosystems. Future market opportunities lie in the abstraction and integration of the settlement layer, as well as the supply of API services called on a per-use basis in the A2A economy. With the expected growth in the number of active AI Agents in 2028, wallets capable of handling multi-rail payments and “pay-as-you-go” service catalogs will become critical infrastructure.
[Foresight News]
AI Payment Protocols: The Next Frontier for Blockchain Infrastructure
The emergence of specialized payment protocols designed for AI agents represents a potentially transformative shift in the payments landscape. This analysis examines the implications of these developments for the crypto market, highlighting both significant opportunities and strategic risks for investors.
Market Context and Architecture
The report details a two-layer architecture forming specifically to address the unique requirements of AI agent transactions:
- Intention Orchestration Layer: Translates agent transaction intentions into executable processes
- Settlement Layer: Manages the actual flow of funds
This bifurcation is critical for crypto investors to understand, as the settlement layer appears to be where blockchain technology is finding its most natural fit. The traditional payment infrastructure, designed for human interaction, cannot accommodate the machine-readable interfaces, millisecond-level authorization, and high-frequency, small-value settlements that AI agents require.
Crypto Market Implications
Opportunities
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Blockchain Settlement Solutions: The explicit mention of Coinbase’s x402 protocol processing 15 million transactions on Base demonstrates that blockchain is being positioned as a foundational element of the settlement layer. This validates the thesis that blockchain can solve real-world infrastructure problems.
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Stablecoin Utility: Circle’s Nanopayments protocol targeting ultra-high-frequency, ultra-small-value payments suggests stablecoins could become the de facto currency for agent-to-agent transactions. This represents a significant use case beyond remittances and trading.
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Multi-Rail Payment Frameworks: Protocols like Stripe and Tempo’s Machine Payments Protocol (MPP) that support multiple payment paths including stablecoins and Lightning Network create opportunities for interoperability solutions and middleware providers.
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Wallet Infrastructure: The report identifies wallets capable of handling multi-rail payments as potentially becoming critical infrastructure, creating opportunities for wallet providers that can seamlessly integrate both traditional and crypto payment rails.
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API Monetization: The “pay-as-you-go” service catalogs in the A2A (Agent-to-Agent) economy could create new revenue models for API providers, particularly those that can aggregate and abstract the complexity of multiple payment systems.
Risks
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Closed Ecosystem Dominance: The dichotomy between closed ecosystems (like OpenAI/Stripe’s ACP) and open standards presents a significant risk. If major players control the intention orchestration layer and build closed ecosystems, they could limit the integration of open blockchain solutions.
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Traditional Financial Institution Competition: The fact that Visa and Mastercard are developing their own agent payment frameworks indicates that traditional financial institutions are not ceding this space to blockchain-native solutions. Their existing relationships with merchants and consumers could give them a first-mover advantage.
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Regulatory Uncertainty: The emergence of AI agent payments could create new regulatory challenges, particularly around cross-border transactions, anti-money laundering, and consumer protection – all of which could impact the adoption of crypto-based solutions.
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Technological Fragmentation: The report explicitly mentions fragmentation in the intention orchestration layer as a core challenge. This fragmentation could create interoperability issues that slow overall market adoption.
Investment Considerations
For crypto investors, several strategic considerations emerge:
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Protocol vs. Infrastructure: Investors should distinguish between protocols that aim to standardize intention orchestration (which may face significant competition and fragmentation) and settlement infrastructure (which appears more conducive to blockchain solutions).
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Token Utility: Projects that can demonstrate clear utility within these payment protocols warrant closer examination. This includes stablecoin issuers, multi-chain settlement providers, and infrastructure that abstracts complexity for developers.
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Base Chain Momentum: Coinbase’s x402 protocol processing significant transaction volume on Base suggests this L2 may be gaining traction as a settlement layer for AI payments. Investors should monitor Base ecosystem development closely.
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Timing Considerations: While the developments outlined are projected for 2025-2026, the pace of AI agent adoption will ultimately drive demand for these payment solutions. Investors should monitor both AI and payments developments to assess market timing.
Conclusion
The emergence of AI payment protocols represents a potentially massive new use case for blockchain technology, particularly in the settlement layer. While the traditional financial industry is actively developing solutions, the unique requirements of AI agents create opportunities for blockchain-native solutions to demonstrate superior functionality.
The most promising opportunities appear to be in settlement infrastructure, stablecoins, and multi-rail payment solutions. However, investors should remain cautious about the risks of closed ecosystems and the potential for traditional financial institutions to dominate the intention orchestration layer.
As the agent economy matures, the ability to seamlessly integrate both traditional and crypto payment rails will likely become a critical competitive advantage. Projects that can successfully bridge these worlds while providing the high-performance, low-cost infrastructure required for AI agent transactions may be well-positioned to capture significant value in this emerging market.