Overview
Allium classifies tokenized Real World Assets using a two-level taxonomy:asset_class (top-level category) and asset_type (granular sub-category).
This framework is designed around three principles:
- Risk-factor alignment — classes map to the primary risk factor driving value (interest rates, credit spreads, equity prices, FX rates, commodity prices, property values).
- Institutional desk mapping — class names mirror how trading desks are organized at major banks and asset managers.
- Underlying asset first — classify by what backs the token, not the legal wrapper. A tokenized Treasury ETF is
rates, notequities, because the risk factor is interest rates.
Asset Classes and Asset Types
- Rates
- Equities
- Credit
- FX
- Commodities
- Private Funds
- Real Estate
Interest-rate and sovereign debt exposure — government debt, money market funds, repos, and rate-linked products.
Classification Rules
ETF wrapper rule
Tokenized ETFs are classified by their underlying exposure, not by the fact that the wrapper is an ETF share.Fund vs. direct exposure
- Tranched via SPV (CLO, ABS, MBS) →
credit/securitized_products - Diversified fund with 10+ borrowers, formal NAV, and LP share structure →
private_funds/credit_fund - Direct bilateral loan or DeFi lending pool →
credit/private_credit
Dominant risk factor
When a product spans multiple risk factors, classify by the dominant one. A EUR-denominated German Bund isrates (interest rate dominates over FX). A gold-backed token is commodities (gold price dominates).
Product Metadata Fields
In addition toasset_class and asset_type, each product carries four metadata fields:
Tokens Table
Thecrosschain.rwa.tokens table is the master reference table for all RWA tokens across different blockchains. It contains token metadata, product information, issuer details, and platform information using the V2 taxonomy structure.
Unique key: chain, address