The Open Anonymity Project, a development effort built jointly with the Ethereum Foundation, has launched ZKAPI, a tool aimed at private API payments and AI inference, the project confirmed in a blog post on 2026-10-01.

The announcement names two use cases and stops there: paying for API access and paying for AI inference. According to COINOTAG's report, no technical specifications, pricing details, or rollout timeline accompanied the launch notice. How the tool achieves private payments is therefore not yet documented, and follow-up technical releases from the project would clarify the design.

ZKAPI takes its name from zero-knowledge proofs, a branch of cryptography that allows one party to prove that a statement is true without revealing the underlying data behind the claim. Formalized in academic cryptography in the 1980s, technique is widely deployed across the Ethereum ecosystem, notably in privacy-preserving transaction tools and in zk-rollup networks built to scale the blockchain; the same cryptography also underpins the standalone privacy-focused cryptocurrency Zcash.

Application programming interfaces, or APIs, are the standard mechanism through which software services exchange data, including requests to AI models. Access to such services is typically billed per request or per token and tied to a registered account or wallet, producing records that link usage to a specific payer. For AI services, that means individual model requests can be tied to the account that paid for them. Privacy-focused payment designs in the cryptocurrency sector aim to decouple payment activity from user identity, though the ZKAPI launch post did not detail the specific mechanism involved.

The Ethereum Foundation is the Switzerland-based non-profit organization that supports the Ethereum blockchain, funding protocol research, core development, and grants across the ecosystem.

This article was first published on COINOTAG: COINOTAG