How is this different from Polymarket or Kalshi?
If you're coming from those platforms, the core trading experience is familiar: you buy "Yes" or "No" on a question, the contract pays $1 if you're right, and prices move as people trade. The differences are in what the markets are about, how they're structured, and how they resolve.
| Polymarket / Kalshi | Dark Markets | |
|---|---|---|
| What you trade on | Elections, sports, economic indicators, current events | Darknet marketplace prices for substances and other hidden market activity |
| Market structure | One market per question | 10 linked binary markets per substance/region, forming a price bracket |
| How you trade | Order book (matched with another trader) | Automated market maker (always-available liquidity) |
| Resolution | Centralised (Polymarket's resolution committee or CFTC-regulated settlement) | Decentralised oracle network (10 independent academic nodes) |
| Settlement frequency | Varies (event-driven) | Daily |
| Purpose | Speculation and information discovery on public events | Intelligence infrastructure for public health, policy, and research |
Why an automated market maker instead of an order book?
Polymarket and Kalshi use order books, where your trade is matched against another person's order. This works well when you have hundreds of thousands of active traders creating deep liquidity.
Dark Markets serves a niche intelligence market. We can't assume that level of trading volume, especially in early markets. The AMM guarantees that every market has liquidity from day one. There's always a price available, and you can always trade. The cost of this is that the AMM takes a small spread on every trade, which effectively functions as a fee, but in return you get certainty of execution.
Why 10 markets in a bracket instead of one?
A single binary market ("Will cocaine exceed $60/gram?") gives you a probability but not a price estimate. You'd need to know the right threshold to ask about in the first place.
By running 10 markets at different thresholds simultaneously, you get a full picture: not just whether the price will be above or below one number, but roughly where the market thinks it will land and how confident that estimate is. The bracket structure turns familiar yes/no contracts into precise numerical intelligence without requiring participants to understand anything beyond standard binary trading.