Qingcheng Jizhi pitches a full-stack Token infrastructure for the agent economy
新智元 · wechat · 2026-07-21
The article describes Qingcheng Jizhi’s “front shop, back factory” Token infrastructure stack for the agent era.
Three layers
- Back factory: token production with a custom inference engine called Chitu plus the Bagua Furnace software stack.
- Middle layer: AIPing, a neutral token routing and benchmarking platform that monitors dozens of providers and hundreds of model endpoints around the clock.
- Front layer: AgentStore and ATM (AgentTokenManager) for agent distribution, metering, cost allocation, and resource isolation.
Key claims
- The stack is designed to solve unstable APIs, poor portability of foreign inference engines on domestic GPUs, and opaque multi-agent costs.
- The company emphasizes neutrality across heterogeneous Chinese accelerators.
- It also argues that idle domestic compute could be turned into exportable token supply for overseas developers.
The piece presents this as a full-stack infrastructure play for China’s AI agent ecosystem, not just a single product.
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