The Thesis

Map the stock market's layers onto event markets and the integrity layer — ratings, benchmarks, archives, characterization-depth tooling — is the one seat a trading venue structurally cannot hold. Brierly holds it. This page promotes a sourced Desk note and the business logic behind it.

Download the thesis (text)

The growth is sourced; the structural gap is the argument. Combined Kalshi + Polymarket monthly volume went from under $5B (Sept 2025) to roughly high-$20-billions by May 2026 (Pew / The Block methodology; we discount third-party dashboards that double-count maker+taker fills), and two independent houses model ~$1T annual volume by 2030.

Promoting a sourced Desk note. The growth math and every market fact below are reused faithfully from that note; sources are listed at the foot of the page. Read the underlying research on The Desk.

The growth is sourced; the gap is the argument

verbatim from the Desk note — every figure carries a source below

The growth math first, with sources. Combined Kalshi + Polymarket monthly volume went from under $5B (Sept 2025) to roughly high-$20-billions by May 2026 (Pew / The Block methodology; we discount third-party dashboards that double-count maker+taker fills). Kalshi raised at a $22B valuation in May 2026 with $263.5M of 2025 fee revenue; Polymarket is reported around a $15B valuation with ICE having deployed $1.6B of an up-to-$2B commitment; Robinhood traded 8.8 billion event contracts in Q1 2026 alone (8-K, Apr 28, 2026); DraftKings and FanDuel launched on CME rails in December 2025. Bernstein (Apr 14, 2026) and Eilers & Krejcik (Dec 2025) independently model ~$1T annual volume by 2030.

The platforms keep absorbing the layers closest to trading — Kalshi shipped crypto perpetual futures in early June 2026 and is building its own pro terminal (CNBC, Jun 4); Polymarket bought the unified-API startup Dome and sunset its public API within ten weeks. What no platform can credibly absorb is the layer that JUDGES them: independent settlement-risk ratings, neutral benchmarks, scored third-party research, citable archives. That integrity layer is the one seat a trading venue structurally cannot take, because a venue cannot independently grade the contracts it lists. Brierly is the firm in that seat, on the foundation of the only coded dispute database.

The institutional demand side is already arriving: Clear Street became Kalshi's first institutional FCM (May 1, 2026), Tradeweb pipes Kalshi probabilities to 3,000+ institutional clients, Susquehanna runs a dedicated desk, and the Federal Reserve Board's own working paper (FEDS 2026-010) calls these markets a 'high-frequency, continuously updated, distributionally rich benchmark.' Institutions consume exactly what infrastructure firms sell: integrity scores, clean data, citable indices, scored research.

Brierly occupies that layer, led by the load-bearing line: RuleScore (settlement-risk ratings) on the foundation of the only coded dispute database, with the Uncertainty Index (benchmarks), the Desk (Brier-scored research), the Archive (point-in-time data), EventBasis (tax), and exchange advisory as the surrounding lines. One firm, one verification standard.

The integrity layer — the seat a venue can't hold

map the stock market's layers onto event markets

The integrity layer	Why a trading venue can't hold it	Brierly's line
Settlement-risk ratings The reference grade, on the only coded dispute database.	A venue cannot independently grade its own listings — it wrote the language it would be grading.	RuleScore
Independent benchmarks A transparent, thin-market-robust benchmark of priced disagreement.	A first-party index is marketing; a neutral benchmark has to come from outside the venues.	Uncertainty Index
Research-grade archives Documented, citable, rules-as-amended history.	The point-in-time record evaporates unless an independent keeps it to citation standard.	The Archive
Characterization-depth tax Four-characterization tax tooling with an all-state layer.	Depth here is a research product, not a feature a trading app bolts on.	EventBasis

A trading venue cannot independently grade, benchmark, or archive the contracts it lists — the conflict is structural, not a matter of effort. That is the layer Brierly occupies, and it is defensible precisely because independence cannot be replicated by a party with listings to defend.

The demand side is already arriving

Clear Street became Kalshi's first institutional FCM (May 1, 2026).
Tradeweb pipes Kalshi probabilities to 3,000+ institutional clients.
Susquehanna runs a dedicated desk.
The Federal Reserve Board's working paper (FEDS 2026-010) calls these markets a 'high-frequency, continuously updated, distributionally rich benchmark.'

Institutions consume exactly what infrastructure firms sell: integrity scores, clean data, citable indices, scored research.

The surrounding lines

RuleScore (settlement-risk ratings) on the foundation of the only coded dispute database, with the Uncertainty Index (benchmarks), the Desk (Brier-scored research), the Archive (point-in-time data), EventBasis (tax), and exchange advisory as the surrounding lines.

The dispute record that grounds the ratings line is the public dispute database; the scored research is on The Desk.

The business model

the revenue logic, at the category level

How an infrastructure layer monetizes, at the category level — the logic, not the numbers. The sequence below is the standard shape of an independent ratings-and-data business; it describes a structure, not anything Brierly charges or earns.

A. Issuer-pays certification

Exchange / issuer-pays settlement-risk certification — the venue or ETP issuer pays to have a contract or listing set graded against a published methodology. The standard archetype for an independent grade that capital references.

B. Institutional data, API & research

Institutional data / API access plus scored research subscription — clean point-in-time data, citable indices, and Brier-scored research, sold to the desks and FCMs that already consume exactly this layer.

C. Compliance & regulatory data

Compliance / regulatory data — the coded dispute record, characterization tooling, and audit-grade archives that grow more valuable, not less, under regulatory stress and disclosure mandates.

Three engines, sequenced — certification, then institutional data and research, then compliance. This describes the revenue logic of the category, not Brierly's revenue, customers, or valuation, of which it asserts none.

Why the standard is the business

the category logic — qualitative, no comparable figures

Why the empty seats matter financially: independent ratings and index businesses are structurally high-margin and command high revenue multiples because the asset is the *referenced standard* — the grade or index that other people's contracts cite — not a newsletter. The value accrues to whoever owns the standard, and a standard is hard to dislodge once it is load-bearing in counterparties' contracts.

The asset is a reference, not content: counterparties pay because the grade or index is load-bearing in their own contracts — not to read a publication.
Once a standard is established the marginal cost of one more reference is near zero, so the model is recurring and structurally high-margin.
It is defensible: a standard already cited by exchanges, FCMs / ETP issuers, counsel, and a regulator is expensive to replace.
Public ratings and index businesses are the category archetypes for this shape — standard-driven, high-margin, high-multiple.

The pattern is consistent: the moat and the margin come from being the standard that gets referenced, not from publishing volume.

The moat

In this category the moat is entrenchment — getting the grade referenced by exchanges, FCMs / ETP issuers, counsel, and the CFTC — and independence is the wedge an incumbent (a venue) structurally cannot replicate.

The bear cases

The honest downside, and why the infrastructure thesis is built to survive it.

Post-catalyst volume crash ~80% likely at some point

A post-catalyst volume crash at some point is ~80%-likely (the 2024 election produced −84%). Tax revenue trails volume by a filing season, so it lands after the crash, not during it.

SCOTUS jurisdiction risk ~25–30% adverse by mid-2027 (traded odds)

SCOTUS jurisdiction risk runs ~25–30% adverse by mid-2027 per traded odds. Archives compound through crashes and jurisdictional shifts; the point-in-time record does not stop accruing.

Sports-prop final rule Likely — and net-helpful

A likely final rule restricting prop-style sports markets would help compliance and ratings services. Disputes — the ratings business's demand driver — increase under stress, not under calm.

The infrastructure thesis is built to survive all three: tax revenue trails volume by a filing season, archives compound through crashes, and disputes — the ratings business's demand driver — increase under stress.

Sources

Every market fact on this page traces to one of the sources above. The business-model and category-economics sections are qualitative framing, not figures.

This is a strategic / thesis page. The market facts trace to the sources above; the business-model and category-economics sections are framing, not figures. Nothing here is an offer, a solicitation, a valuation, or a claim that Brierly has revenue, customers, or pricing. Informational only — never investment, legal, or tax advice. © 2026 Brierly.