Newsletter
Supporting tokenized assets at scale
How we list & maintain standardized metrics for thousands of RWAs
Token Terminal has launched an asset-first data model for tokenized assets or RWAs. We now track onchain metrics at both the project or issuer and the asset level. Our new asset-first data model takes a token’s address and chain as inputs, then automatically lists it with our core metrics across all supported networks.
This means that Token Terminal is equipped to stay at the frontier of the tokenized assets market, with industry-leading coverage of stablecoins, tokenized funds, tokenized stocks, and more.
Asset-first dimensions.
These fields allow us to break down the results by chain, combine the same asset across chains, and/or group assets by issuer or underlying exposure.
Standardized metrics per listed asset:
asset_market_cap_circulating
asset_price
asset_holders
asset_transfer_volume
asset_transfer_count
asset_mints
asset_redemptions
Why now
The number of tokenized assets is growing quickly. New stablecoins continue to get issued across chains. Tokenized funds and stocks are increasingly used to bring traditional assets onchain. DEXs and lending markets continue to create more LP position tokens. As more DAOs form, they keep issuing new governance and ownership tokens.
We see this shift directly in customer requests. Institutional investors are increasingly asking for asset-level metrics that work the same way across chains and asset categories. They want to access a consistent set of core metrics for all kinds of tokenized assets across chains.
Our new asset-first data model lets us cater to that demand at scale.
Investor impact
With an asset-first approach to data modeling, we’re able to massively expand coverage in a standardized manner. Examples of supported tokenized assets:
Stablecoins
Tokenized funds
Tokenized stocks
DEX LP tokens
Lending LP tokens
DAO governance tokens
The listings are automated through our in-house listing agent. In practice, onboarding a new asset means identifying its token address and chain, labeling it, and adding it to the supported asset universe.
These types of upgrades to the underlying data models are only possible because Token Terminal runs an end-to-end, in-house data pipeline. By controlling each step, we can iterate on the schemas directly, something that wouldn’t be possible if we relied on third-party APIs.
The authors of this content, or members, affiliates, or stakeholders of Token Terminal may be participating or are invested in protocols or tokens mentioned herein. The foregoing statement acts as a disclosure of potential conflicts of interest and is not a recommendation to purchase or invest in any token or participate in any protocol. Token Terminal does not recommend any particular course of action in relation to any token or protocol. The content herein is meant purely for educational and informational purposes only, and should not be relied upon as financial, investment, legal, tax or any other professional or other advice. None of the content and information herein is presented to induce or to attempt to induce any reader or other person to buy, sell or hold any token or participate in any protocol or enter into, or offer to enter into, any agreement for or with a view to buying or selling any token or participating in any protocol. Statements made herein (including statements of opinion, if any) are wholly generic and not tailored to take into account the personal needs and unique circumstances of any reader or any other person. Readers are strongly urged to exercise caution and have regard to their own personal needs and circumstances before making any decision to buy or sell any token or participate in any protocol. Observations and views expressed herein may be changed by Token Terminal at any time without notice. Token Terminal accepts no liability whatsoever for any losses or liabilities arising from the use of or reliance on any of this content.
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