DeepScience

• 

  Crypto Intelligence

Inspiration

Cambridge Analytics

What it does

Crypto Wallet Labels as-a-Service. Crypto Address Clustering - Heuristics libraries to get an accurate list of wallets (clusters) for different types of entities. AML & Tracing Infrastructure -AML Analytics: Taint tracing, Propagation algorithms, and more

How we built it

On top of Apache Superset, we will use R&D for deriving entire entity clusters. Datasets can be used for trade and price modeling, research, or anti-money laundering (AML).

Challenges we ran into

Achieve low false-positive rate through our entity tracing models

Accomplishments that we're proud of

Recognize at least 20 different labels (e.g. gambling, mixers, scam, darknet, exchanges...)

What's next for DeepScience

Cover at least 20 chains: BTC, ETH, USDT, USDC, USDP, USDD, BUSD, DOT, DASH, LTC, BCH, BNB, XRP, ADA, SOL, AVAX, DOGE, MATIC, ALGO, TRX, TON

Built With

• dagster
• mongodb
• postgre
• python
• selenium
• superset