Snapshot 01: Methodology + Dashboard are live
We now publish scoring logic and a sample risk report so people can evaluate the product direction with real artifacts.
MESS AI is an AI-native risk intelligence protocol that models probabilistic project integrity in Web3 using on-chain behavioral data, wallet clustering, liquidity modeling, and anomaly detection.
Each score includes confidence and decomposition so users can see the factors behind the outcome.
We combine wallet graph analysis, liquidity stress modeling, and contract semantics into one view.
The long-term product is a data + model + API stack for analysts, teams, and institutional workflows.
If MESS AI becomes a core risk layer for Web3, early participants could benefit from strong upside as adoption grows. This is early-stage infrastructure: potential can be high, and risk is also high.
You are entering before full product rollout and before broad distribution channels are active.
Value is expected to come from usage: dashboard access, API demand, and protocol-level integrations.
Upcoming catalysts include backend MVP, live score feeds, and wider ecosystem integrations.