FEATURES API
Turn wallet behavior into ranking features.
Compute wallet-item signals your app or models can use: semantic similarity, topic similarity, preference matches, labels, tags, and market-specific activity features.
Dense vectors
Semantic similarity between wallets and items
Topics & tags
Label and preference matching per wallet
ML-ready
Normalized features for any ranking model
01
Send a user and candidates
Pass a wallet profile and the items you are considering — markets, tokens, traders, or posts.
02
Embed computes the signals
Semantic similarity, topic overlap, preference matches, and market activity features, normalized for ranking.
03
Use them anywhere
Feed the features into Rank, your internal ML, lifecycle models, or analytics.
Embeddings are the feature, not the product.
Pretrained onchain embeddings power the Features API — plug them into ranking, fraud, lifecycle, and growth models.