AprScope

Lending

dTRINITY dLEND

Total TVL

$801.6K

Active pools

0

Chains supported

3

Official site: https://app.dtrinity.org/dlend/lending-borrow/ ↗

Overview

dTRINITY dLEND is a non-custodial lending protocol that facilitates variable interest rate loans for suppliers and collateralized borrowing for users. The platform generates revenue through transaction fees and interest payments from borrowers, which are distributed to lenders based on their supply share.

The protocol holds $847,500 in TVL across three chains: Fraxtal leads with 58% of the total value, Sonic follows at 21%, and Ethereum rounds out the top chain at 20%. This distribution highlights a multi-chain strategy but still shows significant concentration on Fraxtal.

No public audit references are available for dTRINITY dLEND. The protocol has an official website, indicating a presence beyond just smart contracts.

Composed 2026-05-21 from the structured data above. See methodology for the full pipeline.

TVL by chain

Chain TVL on chain
Ethereum $371.8K
Fraxtal $252.3K
Sonic $177.5K

TVL history

TVL over time

FAQ

What is dTRINITY dLEND?

dLEND is a fork of the Aave v3 protocol, designed for secure lending and borrowing of dUSD and other digital assets. By default, dUSD is the sole borrowable asset, and loans can only be taken against other supplied assets, excluding dUSD. This prevents rehypothecation of collateral, reducing protocol risks and subsidy arbitrage. Borrowing rates for dUSD are subsidized through regular interest rebates, encouraging demand and utilization while offering lower costs for borrowers and sustainable yields for lenders

How much TVL does dTRINITY dLEND have?

dTRINITY dLEND has $801.6K in total value locked across all supported chains as of the last refresh.

How many active pools does dTRINITY dLEND have?

We currently track 0 active pools for dTRINITY dLEND.

Is dTRINITY dLEND audited?

Audit information is not available in our data. Always check the protocol's official documentation before depositing.

See our methodology for how this data is collected.