Private Fund Insights Joe, Powered by Dakota
Alex deMarco, Investment Research Analyst · August 24, 2026
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Public pension funds are required to disclose the fees they pay across private equity, private credit, private real estate, infrastructure, and hedge fund commitments. That disclosure requirement exists for accountability reasons: taxpayers and beneficiaries deserve to know what's being paid. But the byproduct of that transparency rule is something most of the industry hasn't fully capitalized on: a massive, continuously growing dataset of real-world fee terms across thousands of funds and strategies.
Turning that scattered disclosure data into a structured, searchable database changes what's possible for investment firms, allocators, consultants, and placement agents alike. In this article, we're covering ten of the biggest benefits. By the end, you'll see why a fee schedule database has become a genuine edge rather than a nice-to-have.
Instead of relying on anecdotes or a handful of comparable funds someone happens to remember, a fee schedule database lets a firm see actual terms across hundreds of similar strategies, by asset class, sub-asset class, fund size, and vintage. That's the difference between "I think 2-and-20 is still standard" and knowing precisely where the market has moved.
Fund managers preparing to go to market need to know where to price a new fund competitively. A searchable database turns what used to be weeks of manually pulling numbers from decks and filings into a task that takes minutes.
Allocators negotiating management fee terms with an investment firm are in a much stronger position when they can point to a broad set of comparable fee structures instead of negotiating in the dark. A database levels the information asymmetry that has traditionally favored fund managers.
Investment firms can see exactly how their own fee structure stacks up against direct competitors raising similar strategies at similar sizes, not just their guess at what peers charge, but the actual disclosed numbers.
A database that's continuously updated doesn't just show a snapshot: it shows direction. Are management fees compressing in private credit? Is carry structure shifting in infrastructure? Trends that are invisible in a single deck become obvious across thousands of data points tracked over time.
Already piecing fee comparisons together by hand? Joe's fee schedule database covers 13,000+ funds across private equity, private credit, private real estate, infrastructure, and hedge funds, filterable by asset class, fund size, and vintage year. Request access to see live benchmarks before your next raise.
Not every user needs the same fields. A fundraising team may care most about management fee and carry by fund size, a consultant may care about hurdle rates and manager commitment. A well-built database lets each user filter down to exactly the fields relevant to their question, rather than working from a fixed, one-size-fits-all report.
Private equity, private credit, private real estate, infrastructure, and hedge funds each have their own fee conventions. A unified database that organizes by asset class and sub-asset class makes it possible to compare within a strategy accurately, instead of mixing apples and oranges.
Before a structured database exists, building a fee market map means pulling numbers out of individual pension disclosures and fund decks one at a time: slow, error-prone, and out of date almost as soon as it's finished. Aggregating and structuring that data removes that burden entirely.
Extracting fee terms from unstructured disclosures at scale, and keeping that extraction current, is genuinely difficult curation work. That difficulty is exactly what makes a well-maintained fee schedule database valuable; it isn't something a competitor can stand up overnight just because the underlying filings are public.
Every benefit above points to the same outcome: decisions that used to take weeks of manual digging (pricing a new fund, evaluating a manager's terms, benchmarking a portfolio's fee load) can now be made with confidence in minutes, using real, current market data instead of dated assumptions.
Public pension transparency requirements were never designed to create a competitive dataset, that's simply what happens when thousands of funds' fee terms become public record over time. The firms that benefit most won't be the ones with access to the disclosures: everyone technically has that. They'll be the ones with access to Joe's fee schedule database, already structured, comparable, and instantly usable across asset class and sub-asset class.
See fee schedule data over 13,000 funds inside Joe, powered by Dakota, filterable by asset class, sub-asset class, fund size, and vintage year. Whether you're pricing a new fund, negotiating terms, or benchmarking a portfolio's fee load, the data is already aggregated.
Request access to see Joe's fee schedule database in action.
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