21/100 — Audited by Token Verdict
Gradient is building what it calls "the world's first fully distributed AI runtime" — sovereign, peer-powered infrastructure where AI models are hosted, served, and owned across a decentralized contributor network, targeting the DePIN/AI compute vertical with $GRADI. The two worst red flags are a completely anonymous team with zero disclosed members and a total tokenomics blackout: no supply figure, no allocation breakdown, no vesting schedule, and no whitepaper — an information void that is itself a warning sign. The DePIN AI compute market is legitimate and large (Render, io.net, and Akash have all validated it), but Gradient shows none of the GitHub activity, traction, or technical credibility those peers demonstrated at a comparable stage. Score: 21/100 — anonymous team plus zero tokenomics transparency plus no public code is the trifecta of pre-rug warning signs; pass until fundamentals surface.
How well-structured is the token supply, allocation, and distribution?
No supply information found in available materials.
No allocation information found.
No vesting or lockup information found.
No clear token utility beyond speculation.
No burn or deflationary mechanism found.
How is the TGE structured? Is it fair and transparent?
No launch platform details found.
No pricing mechanism details found.
No liquidity provision details found.
No anti-dump protections found.
Who is behind this project and can they be trusted?
No team information found. Possibly anonymous.
Cannot assess track record — no team info.
No smart contract audit found.
No GitHub repository found.
Does this project have real market demand and competitive positioning?
Brief description available. Problem-solution unclear.
Targets ai market.
Cannot assess competitive advantage from available data.
No traction signals detected.
How engaged is the community and how is governance structured?
No community channels found.
No governance model found.
Limited communication transparency.