Performances
RD Popularity Index
RD Growth Index
| 1h | 24h | 7d | 30d | 60d | 90d |
|---|---|---|---|---|---|
| 1.13% | 2.37% | 3.24% | 23.33% | 5.60% | -- |
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Fundraising
Tokenomics
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Data source: CoinGecko
DGAI is the utility token of DGrid's decentralized AI network, with 1 billion supply. Node operators stake DGAI (users delegate); users pay DGAI for AI inference and agent services; operators, model providers and contributors earn DGAI rewards; holders govern. Node rewards halve every two years.
Top Holders
| Address | Token | Quantity | Percentage | Value |
|---|---|---|---|---|
| 0xf85c...1dd9 |   DGAI | 500,000,000 | 50% | $377.62M |
| 0xb806...29d0 | DGAI | 150,000,000 | 15% | $113.28M |
| 0x3fc2...4f1a | DGAI | 100,000,000 | 10% | $75.52M |
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About DGrid
DGrid is a decentralized AI inference network that exposes 200-plus models behind one unified interface, so developers do not integrate each provider separately. It targets fragmented model APIs, unauditable inference, and call records and outputs that cannot be verified onchain.
The mechanism routes requests across distributed nodes, with a routing layer choosing executors by cost, latency and node reputation, and hashes plus quality scores recorded onchain for traceability; the interface stays compatible with mainstream formats so existing calls can be swapped in. Partnerships with compute and data providers began in May 2026 and a crypto market data feed was added in October. The real difficulty is consistency of node output quality, not the number of integrations.
DGrid's key milestones with long-term significance include: securing seed funding and launching node presale, establishing the foundation for its decentralized AI inference network. It then launched Arena for Agent, enabling idle AI models to generate income autonomously, expanding the ecosystem's utility. The release of DClaw simplified local AI assistant deployment, lowering entry barriers for individual users. A major step was the AI inference API supporting the x402 protocol, enabling on-chain payments on BNBChain, bridging AI services with blockchain settlements. Finally, DGrid introduced on-chain verification to end the 'black box era' of AI intermediaries, enhancing trust and transparency. The global node public sale and genesis mining launched on New Year's Day 2026, marking the network's official operational phase. These events collectively drive DGrid's vision of open, verifiable, and community-owned AI infrastructure.
Listing and trading: DGAI went live at 08:00 UTC on August 24 across OKX Boost, Kraken, Bitget, Gate, KuCoin, MEXC and PancakeSwap, posting over $100 million in first-day CEX spot volume plus $23 million on PancakeSwap and closing at $0.7443, up 639% from the $0.10 launch price.
Revenue and unlocks: Verified revenue reached $23 million in H1 2026 with over 15,000 paying users, against a company target of $300 million for the year. TGE unlocked 15% for airdrops and liquidity, team and investor tokens are locked for 12 months, and the 50% node allocation releases linearly over 10 years with halvings every two years.
DGrid AI closed a $5 million seed round in 2026 with investors including Waterdrip Capital, IoTeX, Paramita VC, Zenith Capital, CatcherVC, 4EVER Research and Abraca Research. The protocol centers on the AI Gateway, the Model Marketplace and a Proof of Quality (PoQ) verification mechanism; the team has published 5 peer-reviewed papers.
In the first half of 2026, DGrid generated $23 million in revenue with over 15,000 paying users, while AI Arena drew more than 500,000 participants. As of September 1, $DGAI had a market cap of about $106 million and had at one point risen 1,254% over 30 days.
Future strategy and roadmap: DGrid will shift from a centralized product to a decentralized network, using DGAI with a total supply of one billion tokens for node staking, payments, incentives and governance, turning on-chain verifiable revenue and call volume into sustained supply and demand on a decentralized marketplace; it will expand the AI Gateway and Model Marketplace, deepen its Proof of Quality verification, and leverage published peer-reviewed papers to build technical credibility.
Alex Ding is co-founder and CEO of DGrid. He did graduate work in technology and society management and computer science at Stony Brook University, and arrived with more than a decade of blockchain operations experience and five years of machine learning research. He is the corresponding author on all three of DGrid's Proof of Quality papers. CTO Aaron Chan holds a bachelor's and master's in mathematics from CUHK and a PhD in applied mathematics and statistics from Stony Brook, with five years in AI and eight in blockchain research. He co-authored the same papers and owns the engineering behind PoQ scoring and the optimistic TEE verification design. CMO Chaymaa Khaldi joined from brand and growth roles at technology companies and runs global marketing. Most members are Stony Brook alumni.