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dgrid

DGrid AI Genesis revenue surpasses 20 million USD, accelerating the integration of AI and the Crypto community

The decentralized AI infrastructure network DGrid AI announced the latest data on its Genesis membership program: cumulative revenue has surpassed $20 million, with over 13,000 paid subscribers. Funds are deposited into a publicly verifiable BNB Chain Safe multi-signature treasury wallet, ensuring on-chain transparency.It is understood that the growth is supported by the four core product matrices built by DGrid: AI Gateway unifies API aggregation of mainstream models such as Claude, GPT, and Gemini, offering discounts of up to 55%; AI Arena has over 300,000 participants in blind review competitions, producing high-quality manually labeled data; DClaw supports minute-level local AI assistant deployment, with persistent memory and modular plugin capabilities; a decentralized model marketplace is about to launch, supporting high-quality asset tokenization. The platform also launched the model recommendation agent Dori, which helps developers instantly match the optimal model solutions.On the technical side, DGrid prevents model providers from delivering low-quality models, fabricating data, or hiding computation costs through its self-developed Proof of Quality (PoQ) consensus mechanism, ensuring service quality and pricing transparency at the protocol level. The project has previously received seed round investments from Waterdrip Capital, IoTeX, Paramita VC, and Zenith Capital.

AI infrastructure DGrid launches AI inference API supporting x402 protocol, enabling on-chain payments on BNBChain

AI Smart Routing and Infrastructure Network DGrid AI officially announces the launch of its AI inference API integrated with the x402 payment protocol. This API seamlessly merges payment logic with AI model invocation for the first time, allowing developers and AI Agents to complete authorization, inference, and payment within a single API request lifecycle without managing cumbersome API Keys or requiring centralized account pre-funding.It is reported that this API currently supports BNB Chain (BSC) as the underlying settlement network. With the micropayment features of the x402 protocol, the system can achieve extremely low-friction on-chain real-time settlement while ensuring that invocation costs remain absolutely controllable. Additionally, this API supports streaming responses and real-time usage feedback while being compatible with mainstream AI invocation methods, making it suitable for various application scenarios, including model selection for AI Agents, inference billing, intelligent agents, and multi-task execution.DGrid states that this initiative aims to completely break the prepaid barriers of traditional large model invocation and provide a programmable underlying payment infrastructure for building a fully automated AI Agent economy (machine-to-machine transactions).

DGrid AI launches the AI agent platform DClaw, helping users build their personal local AI assistant with one click

AI infrastructure service provider DGrid officially launched its core product DClaw ------ a one-click personal AI agent deployment platform specifically designed for the DGrid ecosystem, aimed at significantly lowering the participation threshold for the open agent economy, providing out-of-the-box personal local AI assistants for individuals, developers, teams, and various communities.According to the official introduction, compared to the open-source framework OpenClaw, DClaw has achieved a comprehensive product upgrade. It focuses on true one-click agent deployment capabilities, compressing the technical configuration process that originally took hours into minutes; it natively integrates DGrid's unified model access API, allowing immediate access to top global models such as GPT-5.4, Claude Opus 4.6, Kimi K2.5 without the need for additional API key configuration; at the same time, it natively adapts to mainstream office and communication platforms such as WeChat, WeChat Work, DingTalk, and Telegram, enabling a single agent to operate uniformly across different environments.In addition, DClaw features a user-controlled persistent memory system and a hot-swappable modular skill plugin ecosystem, supporting multi-agent collaborative work to meet automation execution needs across various scenarios. Each DClaw instance can serve as an intelligent node in the DGrid network, achieving a deep integration of personal usage value and open ecosystem construction.Currently, DClaw has officially launched, allowing users to quickly build their own personal AI agents and participate in the construction of the DGrid open agent economy ecosystem.
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