IRIS Protocol is adding a fixed-rate borrowing option to SparkLend. The integration was announced on November 9, 2026, and the launch is set for mid-November. The idea is simple enough: borrowers get a locked rate for a set period instead of watching a variable APY move every day.
How the quote process works
A borrower starts with a loan intent. They choose the asset pair, amount, loan length, and the highest fixed APY they will accept. That request goes into an off-chain request-for-quote system. Solvers then compete by sending signed fixed-rate quotes. Each quote is backed by a bond. If a solver fails to honor the deal, there is money at risk.
The borrower accepts a quote and gets fixed terms for one to 90 days. The solver handles the underlying floating-rate position on SparkLend. If variable rates rise during the loan, the solver absorbs that cost. That split is the core of the model. Borrowers get predictability; solvers take on rate risk for a possible spread.
No separate fixed-rate pool
There are no pre-built fixed-rate pools inside the protocol. Capital comes from the underlying venue and from solvers. IRIS also gives solvers room to refinance positions during the loan term, including cases involving overdue rates or a grace period after maturity. That flexibility matters because rate markets can move in ways that make a fixed quote uncomfortable. I think the bond requirement helps, but it does not remove all risk.
SparkLend gives IRIS a deep starting point. SparkLend held about $4.66 billion in total value locked as of November 9, 2026. Outstanding borrows were around $2.64 billion, up 47% over the prior three months. IRIS calls itself an origination layer on top of variable-rate lending venues, starting with SparkLend. The wording leaves room for more integrations later, though none are part of this announcement.
What to watch
For borrowers, the main benefit is a known cost of capital for 30 or 90 days. The maximum-APY setting is a useful guardrail. If no solver can beat the ceiling, no loan happens. For solvers, IRIS creates a new business line. They earn the spread between the fixed rate they quote and the variable rate they pay on SparkLend, if their forecasts hold. When forecasts miss, their bonds are exposed.
The off-chain RFQ part is worth noting. It can help with speed and pricing, but users are relying on that quoting setup to work well. The numbers to watch are solver participation, how competitive quotes are versus SparkLend’s floating rates, and how much of SparkLend’s $2.64 billion in borrows routes through IRIS. That will show whether fixed-rate borrowing gains traction on this design.
