Why AI Token Middlemen Attract Celebrities and Grassroots Alike

Background

In early May 2026 three high‑profile announcements converged on the same business model: Sun Yuchen launched B.AI, Fu Sheng announced Easy Router, and the Trump‑family‑backed project WLFI released WorldClaw. All three act as AI‑token middlemen that bundle access to multiple large‑language‑model (LLM) APIs behind a single API key.

Why the model is profitable

Condition 1 – Price mismatch. Subscription plans are far cheaper than pay‑per‑use API pricing. For example, OpenAI Pro costs US$200 per month and includes a large usage quota, whereas the same volume billed via the official API can reach several thousand dollars per month. Claude Max has a similar gap: US$200 monthly subscription versus an API‑based value of US$400‑US$600.

Condition 2 – Access barriers for China and Global‑South users. Developers in these regions often lack foreign bank cards, stable proxy connections, and the ability to obtain corporate invoices. Middlemen mitigate these obstacles by offering blockchain‑based login, USDT settlement, and invoicing services.

Condition 3 – Low technical barrier. Open‑source projects such as One API (GitHub https://github.com/OneAPI/OneAPI, 33 k stars, written in Go) provide a full‑stack gateway that is compatible with the OpenAI API format. A single Docker command can launch the service, and a few configuration lines add database and cache layers. The commercial fork New API builds on this foundation and adds additional commercial features.

Market scale

TokenNav’s 2026 directory lists at least 92 active AI‑token middlemen worldwide. Forum participants repeatedly note that leading projects generate substantial profit.

Three actors, three motives

Fu Sheng – Easy Router. As a Google Cloud and AWS partner, Cheetah Mobile can pass part of its enterprise discount to end users, which explains the advertised 8.5 % discount.

Sun Yuchen – B.AI. B.AI embeds TRON‑based “no‑identity” payments: wallet login, USDT settlement, no KYC. TRON hosts over 376 million accounts and processes more than US$86 billion of USDT daily, providing a ready‑made stable‑coin layer for AI consumption.

Trump family – WorldClaw. WorldClaw implements a four‑layer revenue scheme: (1) API‑price arbitrage, (2) mandatory purchase of the USD1 token (issued by WLFI in March 2025), (3) token‑locking to obtain AI credits (e.g., Pro tier requires locking 250 k tokens, Max tier 2.5 M tokens), and (4) a US$9 999 “private‑dinner” lottery. The product claims prices about 30 % lower than official APIs while extracting value through these additional layers.

Risks and abuse patterns

The paper presented at the 2026 ACM Internet Measurement Conference, Behavioral Consistency and Transparency Analysis on Large Language Model API Gateways , measured real‑world gateways and found that more than 40 % failed model‑fingerprint verification, with performance deviations up to 47 %. Price was not a predictor of accuracy.

Two substitution tactics are documented:

“Probability downgrade” – a random subset of requests is routed to cheaper models, causing noticeable quality fluctuations and token‑count mismatches.

“Silent version switch” – the backend model is silently replaced with an older, cheaper version while the price remains unchanged.

Billing anomalies are also reported: some gateways charge 62.8 % more than the expected cost while reporting usage identical to other platforms, effectively hiding extra fees.

Data harvesting is another vector: prompts, contexts, and usage metadata are logged, anonymized, and sold to downstream model trainers, turning users into free training data.

Emerging threat in the Agent era

When AI agents can execute code, a malicious middleman can act as an “insider router,” injecting harmful payloads into agent responses or swapping dependencies. Because the attacker only needs to poison the data stream, no compromise of the user’s environment is required.

Legal gray zone

Chinese regulations require telecom‑business licenses (IDC, ICP) for services that provide data‑center or content‑provider functions. Many middlemen operate without registration, exposing users to potential loss of funds and criminal liability for illegal operation or personal‑information infringement.

OpenAI and Anthropic explicitly forbid API resale in their terms of service; violations can trigger account bans that cascade to downstream users.

Structural pressures

Profit‑margin compression. Domestic models such as DeepSeek and price cuts from OpenAI reduce arbitrage opportunities. Well‑funded entrants can undercut smaller operators.

Technical‑barrier erosion. One API and New API enable anyone to launch a gateway within a day, turning price competition into a race to the bottom.

Regulatory tightening. Chinese authorities are issuing warnings and moving toward stricter compliance, especially as AI penetrates finance, healthcare, and education.

Potential evolution

The only clear growth path is to become the payment layer for AI agents. Stable‑coin‑based micro‑payments on‑chain can support thousands of transactions per second, a scale that traditional banking cannot achieve.

Key observations for users

Unusually low prices often hide channel discounts, model substitution, token inflation, or exit risk.

In the Agent era, a malicious middleman can execute arbitrary commands on a user’s behalf.

For critical workloads, official APIs provide the most reliable and legally compliant option; for low‑risk experiments, data‑security considerations remain paramount.