Foundational Web3 Risk Infrastructure

AI Risk Intelligence Network for Web3

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.

v0.3-alpha
Top 250 Tokens
Open (Phase 1)
Pending Launch

Important Updates

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.

Snapshot 02: Collective application engine launched

Contributor intake is structured by track, rubric, and workflow. The goal is to recruit builders, not hype traffic.

Snapshot 03: Public whitelist is open

Early participants can register interest now and receive eligibility updates when the public presale window is announced.

Use dots to switch updates

What This Project Actually Does

Risk Score You Can Inspect

Each score includes confidence and decomposition so users can see the factors behind the outcome.

Signals From Real On-Chain Behavior

We combine wallet graph analysis, liquidity stress modeling, and contract semantics into one view.

Built as Infrastructure

The long-term product is a data + model + API stack for analysts, teams, and institutional workflows.

Why Early Access Could Matter

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.

Asymmetric Stage

You are entering before full product rollout and before broad distribution channels are active.

Utility-Driven Path

Value is expected to come from usage: dashboard access, API demand, and protocol-level integrations.

Clear Next Catalysts

Upcoming catalysts include backend MVP, live score feeds, and wider ecosystem integrations.

Start Here

No guaranteed returns or outcomes. Participation is high risk and subject to eligibility, vesting, and jurisdiction constraints.