33/100 — Audited by Token Verdict
Lagrange Labs builds universal ZK proving infrastructure — "prove anything, trust nothing" — targeting rollups, ZK coprocessors, and cross-chain interoperability at internet scale, with their deep-prove repo extending this to verifiable ML inference. The two hardest red flags are a fully anonymous team with zero public member profiles and a tokenomics black box: no allocation data, no vesting schedule, and no token utility defined ahead of a still-TBD $LAGRA TGE. On the builder side, deep-prove is legitimately impressive — 3,347 GitHub stars, active Rust development, and a live integration with Anduril (defense contractor) for verifiable AI entity reconnaissance signal this is real infrastructure work, not vaporware. Score: 35/100 — credible tech, but the token is a shell until the team surfaces and tokenomics are disclosed.
How well-structured is the token supply, allocation, and distribution?
Tokenomics page exists but supply details unclear.
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.
10 repos, 3 recently active.
Does this project have real market demand and competitive positioning?
Brief description available. Problem-solution unclear.
Market size needs manual assessment.
Cannot assess competitive advantage from available data.
Traction signals: 3438 GitHub stars, active development, Twitter: @lagrangedev, community channels found.
How engaged is the community and how is governance structured?
Community presence: Twitter: @lagrangedev, Discord.
No governance model found.
Communication: whitepaper available.