Performances
RD Popularity Index
RD Growth Index
| 1h | 24h | 7d | 30d | 60d | 90d |
|---|---|---|---|---|---|
| 0.25% | 4.56% | 15.00% | 12.82% | -- | -- |
Comparison
Fundraising
Top Holders
| Address | Token | Quantity | Percentage | Value |
|---|---|---|---|---|
| 0xf85c...1dd9 |   DGAI | 500,000,000 | 50% | $406.92M |
| 0xb806...29d0 | DGAI | 150,000,000 | 15% | $122.07M |
| 0x3fc2...4f1a | DGAI | 100,000,000 | 10% | $81.38M |
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About DGrid
DGrid is a decentralized AI inference network that aggregates over 200 models (Claude, GPT, Gemini, GLM, Kimi, etc.) through a unified API gateway. Its core proposition is the Proof of Quality (PoQ) mechanism, which uses random benchmark tests to verify that providers are actually delivering the claimed model, addressing the "black box" problem of AI relay stations where users cannot confirm whether outputs have been silently substituted or degraded. The network also includes an Arena for model comparison, x402-compatible machine-native payments, and an Agent registration system (ERC-8004).
Market pain points include: (1) authenticity—users cannot verify if a provider swapped a cheaper model; (2) continuity—service quality may degrade under load or policy changes; (3) auditability—no transparent data when quality fluctuates. DGrid's solution combines on-chain verification records, staking-weighted validator nodes, and a model marketplace where providers can list and price models independently.
In the past six months (2026-03-01 to 2026-09-01): the validator node went live on August 25, 2026, with staking surpassing 26M $DGAI and nearly 10,000 participants within 48 hours. The Genesis paid membership program generated over $23M in sales with 15,000+ paying users (6,164 NFT holders as of July 31). Agent registrations reached 4,385 across 3,702 owner addresses, though ~90.5% registered only one Agent. The model marketplace officially launched. However, independent analysis (CertiK) notes that PoQ remains a technical experiment rather than a production-proven system—public data does not yet show what share of live requests are verified, detection rates, false positives, or how often PoQ actually changes routing decisions. Agent registrations represent identity events, not confirmed activity.
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.
Positive drivers in the past six months:
Token model release and low initial float: DGAI was unveiled on Aug 18, 2026, with 1B total supply. Only 15% unlocks at TGE, while team and investor tokens are locked for one year, reducing selling pressure.
Validator staking went live: Staking launched Aug 25, offering 60% APY for 180-day and 90% APY for 360-day lockups. Within 48 hours, over 26M DGAI was staked by nearly 10,000 users, signaling strong market confidence.
Real revenue support: H1 2026 revenue reached $23M with 15,000+ paying users; AI Arena attracted over 500,000 participants. Proof of Quality adds technical credibility to ecosystem growth.
Co-founders and core executives:
Alex Ding (Co-founder & CEO): Previously served as CEO at Golff, Director of International Business Development at GXChain, and Operations Director at REI Network. Holds a Master's in IT Project Management from Stony Brook University.
Aaron C (Co-founder & CTO): Researcher at Stony Brook University focusing on risk management and optimization. Holds a Doctorate in Applied Mathematics from Stony Brook University.