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More →AI agents make 138 million crypto payments as U.S. dominates spending on AI models
Artificial intelligence (AI) agents are no longer just talking to each other. They are paying for services, buying data and even purchasing access to tokens the AI models, with more than 138 million transactions recorded through the x402 protocol on Coinbase’s Base blockchain, according to a Chainalysis’ <a href="https://www.chainalysis.com/blog/north-america-crypto-adoption-2026/" target="_blank" rel="noopener noreferrer">><em>Inside North America's $3 trillion crypto economy: Agentic commerce accelerates</em> report</a>. The United States dominates this emerging market. U.S.linked wallets accounted for 88.1% of the geographically identified payments for AI model inference, compared with just 0.1% for Chinese-linked wallets, the blockchain analytics firm found. "One possible explanation is that Chinese developers are more inclined to use open-weight models such as DeepSeek and Qwen, reducing their need to purchase metered inference services," Eric Jardine, Chainalysis' head of research, told CoinDesk. The findings, released Wednesday, come as Visa, Mastercard, Stripe and other payments giants <a href="/tech/2026/07/15/visa-mastercard-and-ripple-join-the-standard-letting-ai-agents-pay-in-stablecoins" rel="nofollow" target="_blank">have backed the x402 protocol,</a> while Coinbase <a href="/business/2026/07/23/coinbase-closes-the-gaps-in-ai-agent-economy-for-businesses-users-and-developers" rel="nofollow" target="_blank">has begun allowing business customers</a> to accept payments from AI agents. Yat Siu, co-founder and chairman of Animoca Brands, <a href="/business/2026/08/29/the-next-trillion-dollar-currency-may-not-be-a-stablecoin-it-might-not-even-have-a-name-yet" rel="nofollow" target="_blank">recently told CoinDesk</a> that over the next few years he estimates up to 100 billion AI agents will be transacting on the internet and they will be using crypto. And crypto’s <a href="/business/2026/08/23/crypto-s-next-billion-users-might-be-ai-agents-and-they-re-paying-with-stablecoins" rel="nofollow" target="_blank">next billion users might be AI agents</a> paying with stablecoins. “Stablecoins are particularly well suited to the kinds of transactions we expect AI agents to make at first,” Stephanie Cohen, Cloudflare’s chief strategy officer, <a href="/business/2026/08/23/crypto-s-next-billion-users-might-be-ai-agents-and-they-re-paying-with-stablecoins" rel="nofollow" target="_blank">told CoinDesk.</a> Unlike traditional card payments, stablecoins can handle transactions worth fractions of a cent, allowing AI agents to buy data, computing power and other services without human intervention. The new Chainalysis figures offer evidence of growing use of those payment systems, although transaction counts alone do not establish how much represents genuine commercial demand. Much of the activity runs through x402, a payments protocol incubated by Coinbase that allows AI agents to pay automatically for digital services using crypto. More than 87% o
IMF officials: pre-war surpluses, alternative routes and demand adjustments help cushion the oil production shock
According to Bijie News, an IMF official stated that pre-war surpluses, alternative routes, and demand adjustments help mitigate the impact on oil production, but the buffer space is limited.
eqx labs launches tokenized US stocks and ETF protocol on HyperLiquid
According to CoinWorld news, eqx labs has launched the eqx product on HyperLiquid's Hypercore, issuing tokenized U.S. stocks and ETFs under the hip-1 token standard, supporting 24/7 trading. eqx tokens are fully backed 1:1 by stocks custodied by Alpaca, StoneX, and ClearStreet, and traders only need to pay HyperLiquid's standard spot fees. eqx tokens are issued by eqx spc ltd in the British Virgin Islands, using a segregated trust structure, and authorized participants can maintain the token price close to the net asset value of the underlying U.S. stocks through arbitrage mechanisms.
Over the past 4 hours, active buy trades accounted for 43.29% of ETH futures trading volume.
Bijiie data: For the ETHUSDT perpetual contract, the taker buy volume share over the most recent 4 complete hours was 43.29%, while the taker sell share was 56.71%, with taker selling dominating. Compared with the same-metric snapshot 24 hours earlier, it fell by 8.5131 percentage points; compared with the same-metric snapshot 7 days earlier, it fell by 4.2718 percentage points.
Bitcoin, Ethereum, and XRP prices fall as nearly $1 billion in crypto market liquidations occur.
According to data from Bijie.com, the cryptocurrency market saw nearly $1 billion in liquidations amid falling prices of Bitcoin, Ethereum, and XRP, with Ethereum accounting for nearly 60% of the forced liquidations among the two major cryptocurrencies and declining about twice as much as Bitcoin.
ETH selling pressure persists, with major players on the three major exchanges collectively selling $149 million.
CoinWorld data: According to Pro "Large Transactions" monitoring, this morning, active selling continued to appear in ETH spot trading on Coinbase and OKX: Coinbase has sold $18.69 million at market price since 09:00, and OKX has sold $12.13 million at market price since 08:00. Over a longer period, after the U.S. stock market opened last night, Coinbase was the first to see a surge in volume, with cumulative sales of $45.87 million, after which selling pressure spread to Binance and OKX, which sold $84.72 million and $18.64 million respectively. Major players across the three major exchanges have cumulatively sold $149 million worth of ETH. Cross-exchange market-price selling that lasts for several hours usually means spot funds are still withdrawing. During a rebound phase, if selling pressure has not narrowed, it is not advisable to rush into longs. Wait for net selling pressure to decline and for active buying to reappear continuously before considering a small position to test longs. Only by following subsequent data can one judge whether this decline is a short-term shock or a sustained withdrawal of funds.
BTC has seen a net capital outflow of 1,041.4754 BTC over the past 24 hours.
CoinWorld data: BTC saw a net capital outflow of 1,041.4754 BTC over the past 24 hours. This figure is aggregated from continuous 1-hour resolution data and represents the rolling 24-hour net capital flow denominated in BTC assets. It does not represent exchange net inflows, on-chain exchange flows, or institutional capital flows, and should not be conflated with deposit and withdrawal data from any single exchange. Compared with the same-caliber snapshot 24 hours ago, it is down 4,462.93%; compared with the same-caliber snapshot 7 days ago, it is down 230.55%.
The VIX volatility index stands at 16.87 points.
Bjie.com US stock data: The VIX volatility index closed at 16.87 points. Compared with the same-caliber snapshot 24 hours earlier, it rose 1.6 points; compared with the same-caliber snapshot 7 days earlier, it rose 1.79 points.
Osmosis community proposal to terminate OSMO inflationary issuance
According to news from Bijie, the Osmosis community has proposed a proposal to terminate OSMO inflationary issuance, planning to stop the daily issuance of new tokens and suspend the daily unlocking of developer tokens, so that staking rewards are fully funded by protocol revenue such as transaction fees. Currently, the relevant module distributes about 121,800 OSMO per day, of which about 9,740 are used as staking rewards, 30,400 are for the unlocking of developers' existing tokens, and the remaining about 81,600 enter the community pool. If the proposal passes, the approximately 51.9 million OSMO not yet unlocked by developers will continue to remain locked, and future releases will require separate governance decisions.
Over the past 4 hours, the proportion of active buy trades in BTC contracts was 45.27%.
Bjie.com data: For the BTCUSDT perpetual contract over the most recent 4 complete hours, active buy trades accounted for 45.27% of volume, while active sell trades accounted for 54.73%, with active selling dominating. Compared with the same-methodology snapshot 24 hours earlier, this is down 10.309 percentage points; compared with the same-methodology snapshot 7 days earlier, it is up 3.4766 percentage points.