PANews reviewed adoption data for x402, the protocol launched by Coinbase Developer Platform on May 6, 2025 to revive HTTP 402 Payment Required as a native payment flow for software. The article says x402 has moved beyond the demo stage, with several visible usage signals across different datasets: Chainalysis said cumulative x402 transactions on Base had passed 100 million as of June 2026; Agent Economy’s cross-chain tracker showed about 155.6 million transactions and roughly $40.97 million in settled stablecoin volume around July 10, 2026 UTC; and x402scan, viewed on July 11, 2026, showed about 16.24 million indexed transactions, around 837,500 USDC in total amount, about 67,000 unique buyers and roughly 39,600 unique sellers within its visible range. The report argues those figures show x402 is no longer just a protocol experiment, but they do not prove that agentic payments have reached mature, large-scale commercial adoption. A meaningful share of early activity may have come from campaigns such as PING, developer testing, stress tests, bot activity or one-off experiments rather than persistent enterprise workflows. The article says the more important signal is the transaction shape x402 enables: software can see a price inside an HTTP request, pay, and receive access to an API, dataset, model call or tool result without a human checkout flow. It also points to real-world categories already forming around APIs, data endpoints, infrastructure gateways, wallets, SDKs and incentive-driven experiments, while warning that spending policy, audit trails, refunds, dispute handling and human approval remain unresolved parts of the stack.

Ant Group CEO and Alipay chairman Han Xinyi used a recent China payment industry forum to sort global AI payment efforts into four camps: payment technology platforms led by Stripe, crypto firms represented by Circle and Coinbase, card networks led by Visa and Mastercard, and AI platforms represented by Google and OpenAI. The framing drew attention because Han explicitly described crypto as a medium for automated machine-to-machine payments, a notable formulation in a market where public messaging on cryptocurrencies has stayed cautious. The article ties that remark to Ant’s own push in AI payments. As of the end of May 2026, Alipay had processed more than 300 million AI payment transactions, with coverage across 95% of major general-purpose agent frameworks, including devices and platforms tied to Tongyi Qianwen, Rokid, Li Auto, Chery, Geely, Qoder and Coze. Han described the structure as one in which agents execute tasks while tokens carry value. The report also points to on-chain data showing where scale has emerged. Keyrock and Coinbase said AI agents completed about 176 million on-chain transactions from May 2025 to April 2026, with average ticket sizes of $0.31 to $0.48. Coinbase separately said its x402 protocol has handled more than 205 million transactions worth $53 million, with USDC accounting for 99% of on-chain agent commerce transactions.

Alliance co-founder Imran Khan argues that Chris Dixon’s core thesis on crypto remains largely intact: blockchains add an economic and ownership layer that the internet never fully built into its base architecture. In Khan’s view, early attempts to embed payments into the web, from Netscape’s work with Visa to the long-unused HTTP 402 status code, showed the idea was old even if the tooling was not ready. Crypto later introduced concepts such as user-owned assets, permissionless markets, decentralized identity, open social graphs, portable reputation, decentralized storage, and programmable finance, but most people never prioritized decentralization over convenience. That is where Khan sees AI changing the picture. He says AI agents are becoming a new class of internet participant and may be the real demand-side users for open protocols. As machine-to-machine activity grows, agents may need permissionless access to services, datasets, markets, identity systems, programmable money, storage, reputation, and discoverability across open networks. Khan’s broader conclusion is that the next internet will not be defined by crypto alone. He describes it as a stack shaped by crypto, AI, robotics, compute, energy, and eventually biotech, with crypto serving as the ownership layer and AI handling intelligence and interaction.

MAGNE.AI is no longer being framed only as a Web3 smartphone project. Public materials reviewed from RootData, regulatory filings and the company’s own disclosures show a broader buildout across devices, edge AI, identity rails and machine payments. On the hardware side, MAGNE Phone Gen1 is listed at the PVT P2 stage after Pre-EVT and EVT P1, with first-batch manufacturing targeted for the third quarter of 2026. The company has also published FCC-linked materials, a 3D phone structure viewer and staged production updates. On the enterprise side, MAGNE AI BOX is being positioned for private AI and edge-compute deployments, with a Release Gate framework, one local run validation for a Qwen3.6-35B-A3B Q4_K_M artifact, and a Gate 1 plan to build three prototypes for performance, thermal, offline and recovery testing. Agent Pay, meanwhile, has shown a local contract demo and testnet evidence, but end-to-end HTTP 402 flows are still under development and production payments are not open. MAGNE.AI disclosed a $2.64 million strategic follow-on round on Aug. 5, 2026, bringing cumulative public financing to $12.64 million by its own account. Even so, the article argues the key questions now are delivery, prototype validation, public testnet payment proof and whether community participation can convert into actual device users.

Techub, citing Bitcoinist, reported that AI agents initiated $3.3 million in USDC payments over one week through x402, a protocol built on Solana. The figure points to rising stablecoin use in machine-to-machine payment flows rather than broad consumer adoption. According to protocol analysis referenced in the report, more than 99.99% of agent transaction volume on x402 is denominated in USDC, underscoring the stablecoin’s central role in this early activity. The report said x402 uses the HTTP 402 status code to enable native internet payments for APIs, data, and digital resources. In that setup, AI agents pay directly for the resources they consume. Stablecoins fit that model because they offer fast settlement, programmable payment logic, and support for frequent low-value transactions. Solana’s low fees and fast execution were also cited as factors that help these payment patterns work in practice. The activity on x402 remains at an early stage, the report said. Even so, it highlights a concrete overlap between AI software and crypto infrastructure: autonomous software paying for digital resources onchain.

PANews published a market commentary outlining several lesser-followed crypto narratives that its columnist Haotian believes are still worth tracking as market sentiment turns bullish. The piece points to four themes: Uniswap V4 Hooks, x402, RWAFI, and the so-called Agentic Economy. According to the article, Uniswap V4 Hooks let developers attach custom logic to key moments in an AMM pool’s lifecycle, while x402 revives the long-reserved HTTP 402 Payment Required status code as a base layer for agent payments. RWAFI is framed as more than simply bringing assets on-chain, instead focusing on tokenizing traditional assets and combining them with DeFi composability. The article also describes Agentic Economy as an open protocol introduced by Google that allows AI agents built on different frameworks to discover one another, communicate, delegate tasks, and collaborate. Beyond those themes, the commentary says AI+Crypto narratives tied to agent infrastructure, applications, and protocols remain active, and adds that prediction markets, perpetual DEXs, and privacy-focused narratives are still drawing attention. The author cautions that most of the projects cited in the piece are no longer active and says the list is for research reference only, not investment advice.

Coinbase is being cast as an unexpected front-runner in AI agent payments, not because it built a card network, but because it assembled the pieces that let an agent hold funds and transact on its own. The article argues that while much of the market focus has stayed on Visa, Mastercard, Stripe, OpenAI and Google, Coinbase already has an operating stack in place. According to disclosures cited from Coinbase’s 2026 quarterly earnings calls, more than 90% of on-chain agent transactions took place on Base, 99% of agent business transactions were settled in USDC, and more than 97% of on-chain agent transactions used the x402 protocol. Base also accounted for 62% of the stablecoin transaction volume across the industry. The report says Coinbase’s edge comes from combining Base, the x402 machine-to-machine payment standard, Agentic Wallets launched on Feb. 11, 2026, and native wrapped assets such as cbBTC and cbETH into one ecosystem. In that setup, an AI agent can have its own wallet address, hold assets, send payments, execute transactions and collect revenue under preset permissions and risk controls. Rather than plugging agents into existing card rails, Coinbase’s approach gives them a native on-chain financial identity. That, the article says, fits machine-to-machine, high-frequency and micropayment flows better than relying on a human’s credit card.

Tiger Research lays out a 2036 crypto scenario through four fictional characters rather than a market thesis. In its view, the next decade could bring a world where stablecoins displace weak local currencies in high-inflation economies, tokenized assets trade around the clock across borders, blockchain infrastructure consolidates after years of fragmentation, and media companies earn directly from AI agents instead of banner ads. The piece ties those future-facing stories to current signals already visible in 2025 and 2026, including stablecoin usage, growing investment participation among younger users, the boom-and-bust cycle of incentive-driven chains, and the rise of machine-driven web traffic. Rather than treating the idea as science fiction, the report argues that many of the underlying shifts are already underway, with policy, user behavior, and internet business models slowly adjusting around them.