What is functionSPACE?

What functionSPACE Enables

functionSPACE (FS) is a developer primitive that lets any application embed belief-products (prediction features) without running a venue, managing liquidity, or operating a resolution system.

A single market creation produces two mathematically linked surfaces:

1. Probability Market (Continuous Forecasting)

A participant-funded probability surface where users trade beliefs as probability distributions, not binary shares.

• Continuous numerical domain

• Expressive belief inputs

• Reversible trades

• No AMM, No LPs, No order book

2. Reality Market (Resolution Layer)

A capital-locked, adversarial mechanism that resolves the market as real-world information becomes common knowledge. It outputs the final numerical truth x* used to settle all Probability Market positions.

These surfaces share the same domain, precision, and market ID. Together, they represent a complete lifecycle: belief expression through to truth finalisation.

FS handles all mechanism-level logic. Developers choose how much they expose to users.

Who It’s For

FS is designed for anyone building:

• Consumer apps

• Financial dashboards

• Sports or entertainment products

• Social platforms

• Community prediction tools

• Research or polling tools

• Trading interfaces

• Enterprise internal forecasting systems

FS is not opinionated about your vertical, UX, or monetisation model. It is a public, composable primitive that fits wherever prediction capability is needed.

A Primitive, Not a Venue

FS is not an app. It provides the underlying infrastructure.

Developers can:

• Create markets or let users create them.

• Embed FS markets inside their own products.

• Customise every aspect of the UI.

• Charge fees, gate access, extend UX, or filter markets.

• Integrate only the parts they need.

You build the product. FS powers the markets.

Common Use Cases for Probability Markets

Probability Markets are expressive, continuous, and adaptable - making them suitable for any context where uncertainty exists. Because FS accepts any probability distribution (via Bernstein coefficients), developers can embed markets in diverse environments without changing their core UX.

Examples include:

• DeFi & Finance: Hedging against volatility, predicting interest rate shifts, or estimating TVL growth.

• Sports & Esports: Predicting player stats, game margins, or tournament bracket outcomes rather than just win/loss.

• Governance: Predicting the impact of a DAO proposal (e.g., "If Proposal A passes, token price will move to range $Y$").

• Supply Chain: Enterprise forecasting for delivery dates or inventory levels.

• Social & News: Crowdsourcing the probability of election results, weather patterns, or viral trends.

User Interfaces: Unlimited Flexibility

Probability Trading consumes only one thing: a Bernstein coefficient vector representing a user’s belief.

This means any UI can work:

• Slider inputs

• Curve painters

• Normal distribution presets

• Range selectors

• Binary toggles (translated into PDFs)

• “Confidence meters”

• Sports-specific templates

• Election forecasts

• Prediction widgets inside forums or chats

One mechanism, infinite UI expression.

FS will release pre-built components and widgets, while encouraging community-built alternatives.