Cluster Protocol
CP
Unified decentralized AI infrastructure for inference, data, and compute
Performances
| 1h | 24h | 7d | 30d | 60d | 90d |
|---|---|---|---|---|---|
| 1.64% | 2.23% | 6.03% | 71.43% | 71.43% | 71.43% |
Comparison
Fundraising not disclosed
Token not listed
Token not listed
Details
This content is generated by RD AI and is for reference only
Cluster Protocol is a decentralized AI infrastructure layer that unifies model inference, data marketplace, and GPU compute into a single platform. It offers multi-provider model routing with automatic failover via an OpenAI-compatible API, allowing developers to integrate by simply changing the endpoint. Datasets are tokenized as ERC-721 and stored on IPFS, with revenue automatically distributed through smart contracts. GPU providers support model hosting and fine-tuning. Payments leverage the x402 protocol on Base, enabling per-request billing without API keys, allowing AI agents to autonomously settle on-chain.
Follow Updates
About Cluster Protocol
Cluster Protocol is a decentralized AI compute verification protocol built on Base. It addresses the challenge of proving that paid computation was actually executed as promised. The protocol uses Trusted Execution Environment (TEE) attestation — the verifier runs inside a measurable AWS Nitro enclave, the code hash is proven through remote attestation, and the enclave signs the result. Payment only clears after verification succeeds, eliminating the need to trust compute providers.
Traditional verification methods are inefficient: proofs require multiple times the latency and compute power, validators must constantly stay online and recompute everything, and users essentially "rent" trust rather than own it. Cluster Protocol's TEE-based approach provides a lightweight credential that both backend and blockchain can consume, solving the verification problem in a scalable way.
The protocol's broader ecosystem includes an inference engine (500+ models via one OpenAI-compatible API), a tokenized data marketplace (datasets on IPFS, represented as ERC-721 NFTs), GPU compute provisioning, and x402 payment support for HTTP-native micropayments. CodeXero, a browser-native prompt-to-dApp tool, sits on top.
In the past six months (2026-02-28 to 2026-08-31): In July 2026, Visa, Mastercard, and the Linux Foundation endorsed x402, and Cluster Protocol announced a partnership with 0G Labs to tackle compute verification using TEE attestation on 0G's infrastructure. In mid-June, the protocol entered the Base top-5 apps. Official disclosures claim 130,000 inference payment requests in 30 days, settling $79,000, with CodeXero connecting 300,000+ wallets and deploying 25,000+ dApps. In June, Coinbase added CP to its listing roadmap.
Negative information: All metrics are self-reported with no independent on-chain dashboard verification. The 30-day settlement volume of $79,000 is modest relative to the narrative, and paid conversion rates remain low. There is risk of inflated usage numbers and narrative premium.
Cluster Protocol, a decentralized AI model verification protocol, has progressed through several key milestones. Its early development focused on building a decentralized compute and verification layer for AI models, establishing the core architecture. A significant milestone was the completion of a $5 million funding round led by DAO5, with participation from Paper Ventures, JPEG Trading, and Mapleblock Capital, bringing total funding to $7.75 million. This capital was directed toward accelerating CodeXero, its browser-native IDE for EVM, which has since connected over 300,000 wallets and processed over 3 billion AI tokens. The most recent landmark was its inclusion in Coinbase's listing roadmap, signaling growing recognition and potential exchange availability. These events highlight a trajectory from infrastructure development to product expansion and mainstream market validation.
Y J (Co-Founder & CEO)
Twitter: https://x.com/depindaddy
Y J is the co-founder and CEO of Cluster Protocol. Based on public sources, he has a background in computer science and previously worked on decentralized AI infrastructure. He leads the company's vision of building a proof-of-compute protocol for AI models. No other co-founders or core executives with verified public profiles were found in the provided references.