What Real Secondaries Would Require in Tokenized Private Credit
Private credit has a secondary market. It just doesn't work the way institutional allocators would want it to.
Today, investors who need to exit a position before a fund's natural wind-down go through the traditional LP secondaries channel. A small group of dedicated buyers will take positions off sellers through a bilateral diligence process that can run several months, with pricing that comes out of each side working through loan tapes, manager reports, and financial statements in a spreadsheet they then argue over. Discounts to NAV vary widely based on vintage, manager quality, and how much information the buyer can actually get comfortable with. It's functional, but slow and expensive, and it clears a small fraction of outstanding private credit AUM in any given year.
Tokenization has been pitched as a way to tighten this. Put fund interests or the underlying loans onchain, standardize the record, and let secondary prices form continuously rather than episodically. The intuition is right, but the execution so far has been limited, and the reasons are specific.
What Secondary Buyers Actually Need
Tokenization conversations tend to blur two different secondary markets: loan-level trading, where a buyer acquires a specific loan or tranche position, and LP interest trading, where a buyer takes an investor's position in a fund or feeder. The analytical work differs, but both face the same information problem.
In public credit markets, secondary trading works despite imperfect transparency because the information that does exist is standardized and trusted. Reporting happens on known schedules, in known formats, and the framework itself is reliable even when the data is lagged.
Private credit doesn't have that shared framework. Each manager reports on its own schedule, in its own format, with its own definitions for things like "current," "modified," or "watch list." A secondary buyer has to ingest and normalize that data before they can even begin to price it, and they have to take a lot of it on trust.
For tokenization to produce tighter, faster secondaries, a few things have to become routine.
Consistent loan-level data. Buyers need to see payment status, covenant compliance, collateral coverage, and amendments in a format that looks the same across originators. Quarterly reporting is already the floor that institutional credit agreements require. The shift is making that reporting machine-readable, timestamped, and verifiable as it's produced rather than reconstructed months later from PDFs.
A shared record of what's actually true. When a buyer and seller disagree about whether a loan is current or whether a covenant has been breached, both sides need to be able to reference the same tamperproof record. Today those disputes get handled through reps, warranties, and indemnities in the purchase agreement, which is slow, expensive, and effectively rules out small-ticket secondary trades.
Portfolio analytics the buyer can reproduce. Metrics that matter to pricing, expected life, yield, concentration by borrower or sector, vintage mix, should be computable from the underlying data rather than accepted from the manager. Private credit secondaries today require a lot of trust in the manager's own reporting, and reasonable buyers discount for it.
Historical performance that can actually be queried. A buyer evaluating a vintage needs to run their own analysis against the portfolio's actual payment history since origination, not a marketing summary prepared by the originator.
None of this is exotic. It's the information infrastructure that public credit takes for granted and that private credit has historically done without because the asset class didn't demand it. As tokenized product pushes toward a broader buyer base, the demand is showing up.
Some of that demand is already being absorbed by fund structures that let investors redeem at quarterly windows, at a price the manager sets. That works in normal markets. It breaks down when portfolios come under stress, because those funds have the right to pause redemptions, and they do. Investors who thought they had an exit find out they don't. A real secondary market, where a buyer and a seller transact at a price they agree on, is a different kind of liquidity, and institutional capital knows the difference.
Information alone won't produce a deep secondary market either. Securities law limits who can hold these positions, tax treatment creates friction for certain investor types, and float is naturally smaller than in public markets. Those constraints stay in place regardless of infrastructure. What better infrastructure can do is remove the information friction that compounds all of them.
Where This Leaves the Infrastructure Question
Tokenized private credit platforms are effectively competing on two dimensions: origination and infrastructure. The origination question gets most of the attention. The infrastructure question is the one that will decide which products become institutionally credible.
Space and Time is building on the infrastructure side. A data blockchain for onchain finance gives managers, administrators, and counterparties a common, verifiable source of truth for the kind of reporting and analytics private credit requires, without asking any of them to trust a single operator. That's one building block for secondary market formation, alongside the origination platforms and rating agencies that will also need to evolve.
Primary issuance has shown that private credit can live onchain. The harder work is making it function there at institutional scale, and secondary market infrastructure is where that gets tested.
