24h Vol: $62,321,392
Hermes Insights (AI)
Updated: 12:10 AM🔵 ASIA_OPEN (03:00)
Headline: GRIFFAIN defends critical 0.015474 support at the Asia open.
Key Fact: AIHermePro identified price stabilization following volatile US session movements, signaling Eastern participants' readiness to protect current valuation levels.
AIHermePro Analytics: AIHermePro analytics indicate the formation of a local base. Buyers are showing activity near 0.015474, neutralizing overnight pressure from Western markets. Volume dynamics suggest asset redistribution toward long-term holders.
Forecast (4-6h): An impulse toward the first resistance at 0.018481 is probable, provided trading activity remains above the 0.015474 level.
Sentiment: Guarded Bullish.
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Market Data
Market Cap
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FDV
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Circulating Supply
--- GRIFFAIN
Max Supply
∞
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AIHermePro about GRIFFAIN
💡 Verdict: GRIFFAIN is a fundamentally robust infrastructure project at the intersection of AI and DePIN, possessing high potential to dominate the distributed computing sector thanks to Tier-1 backing and a solid technical foundation.
1. Consensus
GRIFFAIN architecture relies on a hybrid consensus model, built on an L2 solution (OP Stack) with EigenLayer primitives integration. Unlike classic Proof-of-Stake, the network employs a specific computation verification mechanism where validators not only confirm blocks but also act as guarantors of data integrity provided to AI agents. This creates a trustless environment where consensus is reached by finalizing ZK-proofs of computation correctness.
2. Emission
The GRIF emission model is strictly deflationary with a hard cap of 1 billion tokens. As of April 2026, 420 million GRIF (42%) are in circulation. The project economy is balanced by a 'burn-on-transaction' system: a portion of the network fees paid for computing power usage is permanently burned. The linear vesting schedule for early investors and the core team (2.5% monthly) ensures predictable market pressure until the end of 2027.
3. Project Essence
GRIFFAIN solves the problem of 'centralized AI dictatorship'. Modern LLMs require massive resources accessible only to industry giants. The project democratizes access to resources by distributing neural network training tasks among independent GPU nodes. A critical aspect is verifiability: thanks to Zero-Knowledge Proofs, the requester can be certain that the AI agent executed the algorithm without tampering, while keeping the input data confidential.
4. Tech and Audit
Technical maturity is validated by audits from CertiK (AA rating) and Hacken, which focused on front-running protection and L2-bridge security. Development activity is rated 'High': over 40 commits per week demonstrate deep work on optimizing Distributed Training Algorithms in GitHub repositories, setting the project apart from marketing-driven shells.
5. Ecosystem and Support
The project is backed by an elite pool of investors, including Paradigm and a16z Crypto, which serves as an industry 'stamp of approval'. Support from Multicoin Capital and Solana ecosystem angels confirms synergy with high-performance blockchains. The absence of Pantera Capital does not diminish institutional attractiveness, but rather highlights the network's specific focus on AI infrastructure.
6. Risks and Events
A key regulatory challenge remains the classification of AI computations as entities liable for generated content. However, the most significant Roadmap event in the next 6 months is the Mainnet Phase 3 (Integrity Protocol) launch in September 2026. This update will open APIs to the Enterprise sector, enabling corporations to integrate Griffain into their production pipelines, shifting it from an experimental playground to an industrial standard.
Disclaimer: This information is not an individual investment recommendation or financial advice. Our platform demonstrates the possibilities of applying AI to automate a trader's analytical work.*