The credit layer for on-chain finance. For every address that trades.
Three sub-models compose one credit model. It returns one score per address — and the whole platform runs on that score.
Coverage
Every address on Hyperliquid, scored.
A complete scan of the venue, refreshed daily — no sampling, no shortlist.
— addresses score above 600.— sit below 300.
Scanned Addresses on Hyperliquid
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Architecture
How a score is made.
Three sub-models read the same address independently. A composite model turns the three readings into one score.
Applications
What we've built.
Some you can open right now, some still in testing, the Credit API still being built. All of it sits on the same credit engine.
Copy Trading
Only addresses above 600 can be followed. Anyone can follow them.
Open ↗Earn
Where the highest-scoring addresses agree on a position, an AI review layer decides whether to act — and the quant stack executes.
Open ↗Trading Terminal
Open to anyone. Orders route to the connected venue — currently Hyperliquid only.
Open ↗AI trading, step one
HTU Labs
Five research tools for token and market risk. A separate product — sign in with X, each query uses Fuel.
Open ↗Status is the current state, not a delivery date
All applications →