Base MCP, The Next Step for x402

marsbitPubblicato 2026-05-28Pubblicato ultima volta 2026-05-28

Introduzione

Base has officially launched Base MCP, allowing users to connect their Base Account to AI Agents to perform actions like swaps, transfers, portfolio tracking, and transaction history queries through conversational commands. This move aligns with Base's strategic focus on AI, driven by the broader competition in the emerging Agent-to-Agent payment sector. The evolution of Agent payments has accelerated. In late 2024, the primary method involved insecure browser automation. By 2025, solutions like Coinbase's x402 (providing crypto wallets for Agents), Google's AP2, and Visa's token-based system emerged. x402 has since processed 176 million transactions totaling over $70 million, with a median value between $0.01 and $0.10. Stablecoins, particularly USDC, dominate these settlements due to their negligible transaction costs compared to traditional payment fees, which are prohibitive for micro-payments. Coinbase faces competition from Stripe, which has built a comparable infrastructure for Agent payments with its Tempo blockchain, Privy wallets, Bridge routing (acquired for $1.1B), and the recently launched MPP protocol. Both companies are now competing at the application layer. The core reason AI is central to Base's strategy is to expand the scenarios for Agent payments, ensuring more transactions occur on its network. By securing a dominant position and scale advantage in this nascent field, Coinbase aims to capture the future commercial potential of Agent-driven payments. T...

Yesterday, Base officially launched Base MCP. By connecting Base Account to AI Agent through Base MCP, you can use colloquial language, like chatting, to have the Agent perform operations such as Swap, transfers, position tracking, and transaction history queries.

Players familiar with Base know that the main focus on the Base chain right now is AI, so such an update from Base doesn't come as a surprise. Some players even anticipate new gameplay on the Base chain, similar to the AI meme coin $SHIT on Ethereum before, where they could directly use Base MCP to let an Agent participate in chain-based token launches through chat.

But if we step back from the perspective of a chain degen and look at the competition in Agent-to-Agent payments, we might find a new answer as to why AI has become the main focus for Base.

Rapidly Developing Agent Payments

Let's rewind to September 2024. Back then, if you wanted an AI Agent to complete a payment for something, humans basically had only one choice: use browser automation tools (like headless browsers such as Playwright, Selenium) to let the AI Agent simulate human actions and complete the checkout process on a webpage.

Since this required providing payment credentials (like full credit/debit card numbers, CVV, expiration dates, etc.) to the AI Agent, this sole option was not secure.

By May 2025, Coinbase launched x402, providing an AI Agent with a crypto wallet and solving this problem in a crypto-native way. But Coinbase wasn't the only one to recognize this as a potential market, and the solutions weren't limited to just crypto-native ones. In 2025, Google launched AP2, allowing users to authorize spending permissions to an Agent. Visa expanded its existing card payment channels, launching Visa Intelligent Commerce, which doesn't give the Agent sensitive information like credit card numbers or CVV, but instead provides the Agent with specific, limited tokens to complete payments.

Today, x402 has processed 176 million transactions from AI Agents, with a total transaction volume exceeding $70 million. This amount might not seem huge, but neither Coinbase nor the traditional giants are taking this emerging payment competition lightly:

- On January 22, 2026, Capital One, the sixth-largest bank in the US with $470 billion in assets, $330 billion in deposits, and the third-largest credit card issuer in the nation, announced the acquisition of Brex for $5.15 billion to enhance AI payment capabilities.

- In March 2026, Mastercard acquired the stablecoin infrastructure company BVNK for $1.8 billion.

- In February 2025, Stripe acquired the stablecoin payment platform Bridge for $1.1 billion.

While they haven't explicitly stated it, acquiring stablecoin-related companies is likely a move to prepare for the upcoming era of Agent payments. Stablecoins are indeed crucial for Agent payments.

Why Are Stablecoins Important for Agent Payments?

According to data statistics from Keyrock, the median transaction amount for Agent transactions processed on x402 so far is between $0.01 and $0.10, with 76% of transactions being under $0.30.

$0.30 is the most common flat fee per transaction in the US and many major markets. This fee is like a wall, making micropayments under $1 very uneconomical. For example, for a 3-cent API call, a $0.30 fee is 10 times the call cost; if an Agent pays with a credit card, the cumulative cost would be prohibitively high.

Blockchain solves this problem well. On Base, the transaction settlement cost is $0.0001. With this immense advantage, stablecoins have almost naturally won the competition against traditional payment giants in the realm of Agent payments.

Of the 176 million Agent transactions processed by x402, 98.6% were settled in USDC. Given the close relationship between Coinbase and Circle, it's fair to say Coinbase is also a big winner at the settlement layer.

But the settlement layer is just one layer in Agent payments. In the track of solving Agent payments via crypto-native means, Coinbase has a competitor—Stripe.

The Challenge from Stripe

This March, Stripe launched the Agent Payment Protocol MPP, which has brought Stripe's architecture map for Agent payments almost on par with Coinbase's.

- From the settlement layer: Coinbase has Base, Stripe has Tempo.

- From the wallet layer: Coinbase has Agent Wallet, Stripe has Privy.

- From the routing layer: Coinbase has built-in routing facilities, Stripe has Bridge, acquired for $1.1 billion.

- From the payment protocol: Coinbase has x402, Stripe has MPP.

Now let's return to the Base MCP mentioned at the beginning of the article. Since both competing sides now have these four layers of supporting infrastructure, the next battlefront is naturally the application layer.

This is the core reason why AI can become Base's main focus—Base needs to ensure that AI (at least in the cryptocurrency space) happens on Base. This is not actually about providing a perspective for degens on the Base chain, but about broadening the scenarios for Agent payments, enabling more Agents to conduct more transactions for more applications, thereby securing its leading position in the Agent payment track.

Once a dominant scale advantage is established, when Agent payments enter the commercial domain in the future, Coinbase stands to win even bigger.

Looking at the launch of Base MCP from this angle, one can sense that this is just a small step in Coinbase's grand ambition.

Domande pertinenti

QWhat is Base MCP and what key functionality does it enable for AI Agents?

ABase MCP is a protocol recently launched by Base. It allows users to connect their Base Account to an AI Agent. Once connected, users can use natural, conversational language to instruct the Agent to perform actions such as executing token swaps, making transfers, tracking portfolio positions, and querying transaction history.

QAccording to the article, why are stablecoins considered crucial for Agent payments?

AStablecoins are crucial for Agent payments because they enable micro-transactions economically. Traditional payment methods often have fixed fees around $0.30 per transaction, which makes small payments (e.g., a few cents for an API call) prohibitively expensive. In contrast, settlement costs on Base are around $0.0001, allowing stablecoins like USDC to facilitate vast numbers of small-value transactions efficiently, as evidenced by 98.6% of x402 transactions being settled in USDC.

QHow does the article contrast Coinbase's and Stripe's approaches to the Agent payment infrastructure?

AThe article contrasts their approaches by outlining the similar four-layer infrastructure both companies have built: Settlement Layer (Coinbase has Base, Stripe has Tempo), Wallet Layer (Coinbase has Agent Wallet, Stripe has Privy), Routing Layer (Coinbase has internal routing, Stripe acquired Bridge), and Payment Protocol Layer (Coinbase has x402, Stripe has MPP). This positions them as direct competitors in the Agent payment space.

QWhat strategic reason does the article suggest is behind Base making AI its main narrative?

AThe article suggests that Base's strategic focus on AI is not primarily for on-chain 'degen' activities but to expand the scenarios for Agent payments. By ensuring more AI activity (at least in the crypto space) happens on Base, Coinbase aims to generate more Agent-driven transactions across more applications. This builds a dominant scale advantage, securing Coinbase's leading position in the emerging Agent payment competition for future commercial applications.

QWhat does the median transaction amount on x402 indicate about the nature of Agent payments?

AThe median transaction amount on x402 falls between $0.01 and $0.10, with 76% of transactions being under $0.30. This data indicates that Agent payments are predominantly micro-transactions, involving very small sums of money per transaction.

Letture associate

A Nation Blocks Chips, a Giant Buys a Nuclear Power Plant: Why It's Time to Seriously Consider DeAI

**Title: Great Powers Blockade Chips, Giants Buy Nuclear Plants: Why It's Time to Seriously Consider DeAI** In May 2026, the US closed loopholes for Chinese firms to acquire advanced NVIDIA chips via overseas subsidiaries. That same month, Kenya halted a $1B geothermal data center project involving Microsoft, fearing its immense energy consumption. Meanwhile, Huawei announced mass production of its Ascend AI chip. These disparate events underscore a new reality: the competition for computing power ("compute") has escalated beyond the tech industry, becoming a geopolitical and infrastructural battleground. A new era of oligopoly is forming, with control over the AI stack—from GPU chips (NVIDIA) and cloud platforms (AWS, Azure, Google Cloud) to foundational models (OpenAI, Anthropic)—concentrating in a few Western "AI Octopus" corporations. This centralization creates systemic risks: pricing power and platform lock-in for users, infrastructure fragility, and a widening "compute divide" that threatens to marginalize nations without independent AI capacity. An "AI Iron Curtain" is deepening through export controls. In response, some nations like Saudi Arabia and the UAE are investing heavily to buy compute power, aiming to transition from oil to AI economies. The EU seeks to triple its compute capacity by 2030 to reduce dependency. However, the spending gap is vast, with four US tech giants alone planning ~$750B in AI capex for 2026. The race is increasingly constrained by energy, with AI tasks consuming up to 1000x more power than web searches, pushing firms to even acquire nuclear plants. This landscape is fueling interest in Decentralized AI (DeAI). It proposes a third way: using open protocols to coordinate a global network of idle GPUs, independent developers, and data centers, creating an AI infrastructure without a single controlling entity. Leveraging blockchain and cryptographic verification, DeAI aims to break market concentration, disperse energy demands, reduce geopolitical dependencies, and enhance transparency. While still nascent in performance and stability, DeAI's core promise is not immediate superiority but providing a crucial alternative architecture to resist monopoly, censorship, and centralized power. As specialized AI hardware costs fall and open-source models flourish, the window to build this foundation is open. The very existence of such competition serves as a vital check against the inevitable abuse of concentrated power.

marsbit28 min fa

A Nation Blocks Chips, a Giant Buys a Nuclear Power Plant: Why It's Time to Seriously Consider DeAI

marsbit28 min fa

Outpoll Review: A Prediction Market Platform Built for Active Traders

Outpoll Review: A Prediction Market Platform Built for Active Traders In recent years, prediction markets have grown from a niche sector to a mainstream arena, attracting billions in trading volume and institutional capital. However, the user experience and tools for traders have not kept pace. Outpoll, a new global prediction market platform, aims to fill this gap by providing enhanced trading infrastructure for active and professional traders. Built on standard prediction market principles, Outpoll allows users to trade on the outcome of specific events. It uses fully collateralized contracts with USDC settlement, charges a competitive 0.1% fee per trade, and provides clear settlement rules upfront to minimize disputes. A key focus for Outpoll is its professional-grade trading tools. The platform supports limit and market orders, as well as take-profit and stop-loss orders for open positions—features uncommon in prediction markets. For automated trading, Outpoll offers comprehensive REST and WebSocket APIs, enabling portfolio management, price arbitrage, and integration with existing tools. The platform also features a creator-led market model, where approved experts and community leaders can create and manage markets for niche topics under platform supervision. Its integrated interface combines news feeds directly with trading functions, allowing users to monitor events and manage positions seamlessly. Outpoll launched with a native Android app (available on Google Play) and plans an iOS version later this year. In summary, Outpoll distinguishes itself with trader-focused tools, practical APIs, transparent and collateralized markets, integrated news, and an expanding creator program. For active traders, its advanced order types and API access alone make it a platform worth watching. Outpoll is now globally accessible via outpoll.com and Google Play.

marsbit36 min fa

Outpoll Review: A Prediction Market Platform Built for Active Traders

marsbit36 min fa

Bitwise: Crypto Becomes a Contrarian Investment, Three Logics to Understand the Current Market

**Summary** Matt Hougan, Bitwise's CIO, analyzes the current crypto market through three key lenses, arguing it has shifted from a momentum-driven to a contrarian investment. **1) Crypto Becomes a Contrarian Play:** The market is weak, with major assets like Bitcoin and Ethereum down significantly. Capital has moved to hot sectors like AI, leaving crypto as an "unloved" asset class. This transforms crypto investing from trend-following to a test of patience and fundamental analysis. Investors now favor projects with solid fundamentals (e.g., Hyperliquid) over speculative ones. **2) Regulatory Overhang:** The uncertain fate of the U.S. CLARITY Act, a major crypto regulatory framework, is a key headwind. With its passage in 2024 seen as far from guaranteed (estimates range from 30-55%), institutional capital remains on the sidelines, choosing less risky alternatives like AI stocks. The market needs clarity—whether the bill passes or fails—more than any specific outcome to move decisively. **3) Capital Rotates to New Fundamentals:** This cycle differs from past bear markets where money fled to Bitcoin. Now, capital seeks smaller assets with strong use cases. While major cryptos fell in May 2024, tokens like Hyperliquid (+72%), Zcash (+50%), and XLM (+44%) rallied on their specific fundamentals. This rotation confirms the new contrarian, fundamentals-driven logic and signals the bear market may be in its later stages. **Conclusion:** Short-term pressure persists due to regulatory uncertainty and competition from AI narratives. Investing in crypto now requires a contrarian mindset—acting against the crowd and focusing on fundamental value. Patience and targeting high-quality projects based on their merits are essential for capturing long-term gains.

marsbit1 h fa

Bitwise: Crypto Becomes a Contrarian Investment, Three Logics to Understand the Current Market

marsbit1 h fa

ChatGPT Might Be Disappearing Soon

OpenAI announced at its "Intelligence at Work" event that its coding assistant, Codex, will be fully integrated into the ChatGPT app within weeks. This move marks a strategic shift from a conversational AI (Chat) towards a unified "agentic" platform capable of execution. Codex, originally launched to compete with Anthropic's Claude Code, has grown rapidly to 5 million weekly active users, with 20% being non-developers like analysts and designers. Its enterprise revenue now constitutes 40% of OpenAI's total. The integration is the first step in creating a super-app combining ChatGPT (interface), Codex (execution engine), and the Atlas browser (web access). OpenAI also unveiled new Codex features: specialized Agent plugins for six professional roles, an "Annotations" tool for direct document editing, and a "Sites" function to turn work into shareable web apps. Internally, this reflects a power shift; the Codex team now leads core product strategy. While the ChatGPT brand remains for its vast user base, the platform's future is focused on autonomous agents that perform tasks, not just chat. The article notes that competition with Claude Code pushed OpenAI's development, with Codex competing on cost-effectiveness and accessibility rather than raw coding quality. It concludes that the essence of "ChatGPT" is evolving from a chatbot into an AI agent platform, with the name potentially becoming a legacy symbol of its original function.

marsbit1 h fa

ChatGPT Might Be Disappearing Soon

marsbit1 h fa

Trading

Spot
Futures
活动图片