Daily throughput reaches trillions of Tokens, with nearly 3 million users! How does B.AI capture Web2 AI traffic with underlying "invisibility"?

In 2026, the global AI application landscape has accelerated from the early "model release frenzy" into a new stage of "deep cultivation of existing stock and cost refinement." With the high customer acquisition costs and pressure on retention rates of large models, the industry as a whole has entered a deep retention phase. However, in this crowded traffic red sea, B.AI, as a new generation of AI infrastructure, has shown a strong growth curve.

Recent data shows that the user base of the B.AI platform has approached 3 million and successfully supported a daily turnover of trillions in ultra-high computing power. More significantly, B.AI has achieved over 50% of payments through traditional fiat channels like Stripe, thanks to its "seamless" underlying design, successfully capturing a massive user base from the Web3 geek circle to the Web2 mainstream market.

In the past, the external perception of B.AI often remained at the level of "a hardcore platform with Web3 and cryptocurrency genes." Now, B.AI is proving to the market through a systematic cognitive reshaping that it is currently a Web2-friendly AI entry point. By creating a "frictionless universal computing power base" that crosses boundaries, B.AI is enabling top global AI resources to flow freely like water and electricity.

Crossing Boundary Layers, B.AI Becomes a Super Entry Point for Web2 Traffic with "Seamless" Underlying Architecture Design

Behind this crossing of boundaries is a profound shift occurring in the billing and scheduling logic of the large model industry. As we enter the second half of 2026, the era of winning solely through low prices is coming to an end, replaced by dazzling computing power games. DeepSeek, as a leading Chinese manufacturer, has begun to introduce "peak and valley pricing" similar to power grids. Meanwhile, overseas leaders like OpenAI and Anthropic are periodically lowering API prices to cope with fierce market competition. Price increases and decreases coexist, with layered, time-based, and scenario-based billing rules stacking up. For developers, price is no longer a stable reference but a variable that needs continuous calculation.

This reflects a deeper change: as model capabilities converge and prices fluctuate, the complexity of choosing which model to use, how to call it, and how to control costs, which originally belonged to manufacturers, is being transferred to every user. In the second half of the large model competition, for AI infrastructure, whoever can take on this complexity for users and allow them to use top models "seamlessly" holds the ticket to build the next generation of AI super ecosystems.

This is also a new perspective to understand B.AI's strategic leap. When the industry throws the computing power choice question to users, B.AI chooses to become the underlying base that "folds complexity." In the past, the first impression from the outside often lingered on its Web3 background co-incubated by TRON and YZi Labs, labeled as "hardcore and high-threshold." But now, with its all-encompassing "seamless" underlying architecture design, B.AI is crossing the geek circle and attracting a massive and broader traditional internet audience.

Explosive growth in business data confirms this. Since its launch on April 9, the platform has increased its daily token processing volume from 21.1 million to 1.1 trillion in just 145 days, achieving a trillion-level speed approximately seven times that of OpenRouter. Subsequently, its daily throughput has even reached a new high of 1.51 trillion tokens, with cumulative registered users nearing the 3 million mark. With its undeniable growth slope and ecological scale, B.AI has successfully established itself as the leader in the new generation of AI infrastructure.

Beyond the astonishing scale growth, the reversal of the payment structure within the platform further illustrates where these massive users are coming from. Compared to the early days when payments were purely dominated by Web3, the proportion of payments completed through traditional fiat channels like Stripe has now exceeded 50%. This means that more than half of the computing power consumption is genuinely occurring along the daily paths most familiar to Web2 users. On the underlying infrastructure of B.AI, the boundary between Web2 and Web3 is being completely broken down by the ultimate "seamless" product experience.

Folding Technical Complexity, B.AI Reshapes Model Scheduling and Computing Power Consumption Experience

The realization of this cross-boundary "product experience" stems from B.AI's completion of "functional folding" at the infrastructure level: the heterogeneity of the model ecosystem, the volatility of the pricing system, and the friction of payment habits have all been consolidated on one side of the platform, delivering to the public not a complex array of configuration options, but absolute purity and "certainty" that is ready to use.

The first layer of seamlessness brought by this "functional folding" is reflected in model scheduling. According to a survey by Zapier, in 2026, as many as 58% of enterprises paid far more than expected when switching AI suppliers. To break this ecological divide, B.AI has covered over 70 top multimodal large models across the entire site while making significant upgrades to the underlying Responses API. By fully compatible with upstream standard protocols, B.AI has simplified the originally complex underlying calling logic.

When the platform subsequently adds new models from integrated vendors, developers do not need to modify any code configurations and can automatically and seamlessly call them on the client side. Integrating top AI capabilities into business has become as simple and stable as calling standardized cloud services. Thanks to this stability and smoothness, a large amount of traffic on the platform has begun to shift towards API calls and Agent workflows, truly achieving seamless integration of AI and automated business.

The second layer of seamlessness occurs in entry and fund settlement, driven by B.AI's efforts to create an "intelligent global settlement layer." It does not require either party to change existing habits but creates a dual-track parallel system for identity verification and payment paths. At the entry point, Web2 users can log in with a Google email with one click, and even if they have never interacted with a crypto wallet, they can directly access AI services. Web3 users can directly connect to mainstream wallets like TronLink, MetaMask, OKX Wallet, Trust Wallet, and Phantom. The payment side also operates in dual channels; in addition to on-chain payments, traditional fiat channels like Stripe have become the mainstream choice for users. The differences in identity verification and settlement paths are consolidated into this global settlement layer, and what users perceive is just a smooth login and payment experience.

If the "seamless" entry is a super entry point to attract mainstream users, then the true factor that can retain this massive C-end traffic for the long term is the complete downgrade of computing power consumption. B.AI's core capability lies precisely in its ability to accurately connect this large-scale inclusive demand to the supply side of large models, building a low-resistance "super channel" for going global. At this intersection of supply and demand, B.AI perfectly achieves the ecological closed loop and value fusion on both ends.

B.AI's platform data also confirms this trend. As of October 20, in the platform's highest calling list over the past seven days, the top eight are all Chinese large models, with the top four focusing on low latency and high cost performance in the Flash series, directly targeting cost efficiency. In the brand popularity ranking from October 9 to 15, the week-on-week growth rates of Xiaomi and Zhizhu Token usage were extremely impressive, increasing by nearly 50% and over 44%, respectively.

This wave of cost-performance frenzy driven by Chinese large models aligns perfectly with B.AI's strategy of releasing platform dividends. Leveraging the scale effect of processing trillions of tokens daily, B.AI has the absolute confidence to continuously break through the price barriers of top computing power. During the period of free access to multiple top models, the platform processed a total of 81.9 trillion tokens within 15 days, adding over 220,000 new API users. Currently, the platform has also launched a long-term "discount season," periodically offering benefits to continue releasing dividends. This ongoing increase in computing power inclusivity not only completely eliminates cost concerns for mainstream users but also serves as a unified entry point for distribution and a global settlement layer for transactions, becoming a "super hub" for Chinese large models going global.

It is this dual advantage of "low cost + zero threshold" that has allowed B.AI to successfully break through boundary barriers, making top AI no longer an expensive toy for a few but transforming it into a daily tool accessible to millions. This is also the ultimate key to B.AI's ability to stand out in the traffic red sea and successfully capture the Web2 market.

Reconstructing Underlying Collaboration Protocols, Accelerating the Comprehensive Explosion of the Agent Economy

Removing barriers for human users is just the first step. With the explosive evolution of AI capabilities, B.AI has keenly observed that the next area urgently needing to eliminate technical friction is not the interface of human-machine interaction, but the autonomous collaboration system between agents.

Today, agents are no longer just chat software confined to dialogue boxes; they have evolved into super employees capable of autonomously seeking tools and executing tasks. This awakening of autonomy has directly given rise to a massive demand for high-frequency micro-transactions. According to a report released by Chainalysis in October, as of September, payments made by AI agents on the Base chain through x402 have exceeded 138 million transactions, with 87% of individual amounts being under 10 cents, primarily used for model inference, data APIs, and code audits; Web2 giants like AWS, Stripe, and Google have also begun to lay out agent payments. The infrastructure competition of the agent economy is also a competition that crosses boundaries.

B.AI's choice is to lay the groundwork for infrastructure in this window period. B.AI has innovatively created five core underlying components, building a standardized "machine interaction framework" for the future agent economy:

x402 Payment Protocol (solving payment friction): Grants agents the ability to autonomously circulate with "response prepayment." Agents no longer need to cumbersome register traditional accounts and can quickly complete high-frequency micro deductions and settlements in the background.

8004 Identity Protocol (solving machine mutual trust): Issues verifiable on-chain "identities" to every agent in the network and continuously accumulates traceable credit evaluations, thoroughly connecting the trust chain between machines.

Agent Wallet (solving fund management): Allows each agent to have an independent "digital treasury," capable of autonomously receiving, storing, and settling assets, making them truly self-driven economic entities.

MCP Server (solving communication barriers): As the "simultaneous interpreter" of the entire system, it can translate the obscure and complex on-chain code into natural language that large models can directly understand and execute without loss.

Skills (completing execution capabilities): In the form of extremely simple, modular "skill packages," allowing agents to quickly expand and execute in complex scenarios such as DeFi interactions and on-chain tracking.

The five components correspond to payment, identity, funds, communication, and execution, connecting upward with multi-model scheduling, covering the entire process from "thinking" to "action" to "settlement" for the Agent. This is also an extension of B.AI's "intelligent global settlement layer" on the machine side. For users, this complexity is similarly folded on the platform side; users do not need to care whether it is Web2 or Web3 behind the scenes. Users only need to issue commands to enjoy the most extreme and pure AI productivity.

In the deep contest of traffic red oceans and computational power competition in 2026, B.AI has delivered a flawless answer to the industry with the precise positioning of the "frictionless universal computing base." From model scheduling, entry settlement, computational power consumption, to agent collaboration, B.AI has layered the complexity of these four links into the infrastructure, delivering to users the same experience: frictionless and predictable. This is the significance of the "frictionless universal computing base": allowing users from different circles, as well as humans and machines, to use AI on the same infrastructure. As the agent economy accelerates, B.AI has already paved the way for top AI resources to flow freely around the world like water and electricity.