Prediction markets are becoming an important technology model for businesses that want to let users trade on the outcomes of future events. Two well-known examples are Kalshi and Polymarket, but they use different approaches to market infrastructure, trading, settlement, and user participation.
For businesses planning to build a prediction market platform, understanding the differences between the Kalshi and Polymarket models can help define the right technology architecture. This includes choosing between centralized, decentralized, or hybrid infrastructure, selecting a trading model, planning liquidity, and designing settlement and compliance workflows.
This guide explains the key Kalshi vs Polymarket differences and the main factors businesses should consider before building a prediction market platform.
Kalshi vs Polymarket: What's the Difference?
Kalshi and Polymarket are prediction market platforms built around event-based contracts, but their underlying approaches are different.
A Kalshi-style model follows a more centralized exchange structure. The platform manages user accounts, markets, trading operations, risk controls, and settlement through centralized infrastructure.
A Polymarket-style model uses crypto and blockchain infrastructure as an important part of the platform. It combines prediction market trading with blockchain-based settlement, wallets, stablecoins, and oracle-based outcome resolution.
For businesses, the main difference is not simply the platform interface. It is the underlying prediction market architecture, trading model, settlement method, custody structure, and operational control.
Kalshi vs Polymarket Comparison at a Glance
| Factor | Kalshi-Style Model | Polymarket-Style Model |
|---|---|---|
| Core model | Centralized exchange model | Crypto-native prediction market |
| Trading structure | Order book / CLOB | CLOB with blockchain components |
| Settlement | Platform-managed | Blockchain-based components |
| Currency | Fiat/USD-oriented | Crypto/stablecoin-oriented |
| Custody | Centralized account model | Non-custodial components |
| Market creation | More controlled | More open architecture |
| Resolution | Defined rules and outcome sources | Oracle and dispute-based mechanisms |
| Infrastructure | Traditional exchange infrastructure | Blockchain/Web3 infrastructure |
| Compliance | Centralized controls | Architecture-dependent |
| Best fit | Operator-controlled platforms | Crypto/Web3-focused platforms |
Platform architecture and availability can change over time, so businesses should verify current technical and regulatory requirements before development.
How Does a Kalshi-Style Prediction Market Work?
Centralized Prediction Market Architecture
A centralized prediction market operates through infrastructure controlled by the platform operator.
A typical architecture can include:
- Centralized backend
- User account management
- Market creation system
- Central limit order book
- Matching engine
- Risk management
- Compliance layer
- Payment system
- Settlement engine
- Data feeds
- Admin dashboard
Users create accounts, select an available market, place orders, and receive the resulting settlement through the platform.
The operator can manage market availability, user access, trading rules, risk controls, and administrative functions from a centralized system.
Why Businesses May Choose a Centralized Model
A centralized architecture can provide greater operational control. Businesses can manage market creation, user accounts, compliance workflows, customer support, and risk management from a single platform.
It can also make it easier to integrate traditional payment methods and build an exchange-style prediction market experience.
How Does a Polymarket-Style Prediction Market Work?
Decentralized Prediction Market Architecture
A Polymarket-style prediction market uses blockchain and Web3 infrastructure as part of the trading and settlement environment.
A typical architecture can include:
- Blockchain network
- Crypto wallets
- Smart contracts
- Central limit order book
- Stablecoin transactions
- Oracle infrastructure
- On-chain settlement
- Blockchain data
- Web3 integrations
Users can connect wallets and interact with prediction markets using crypto-based infrastructure. Blockchain components can provide transparent transaction records and support non-custodial functionality.
Why Businesses May Choose a Decentralized Model
A decentralized or crypto-native architecture can be suitable for businesses targeting Web3 users and blockchain-based markets.
Key considerations can include:
- On-chain transparency
- Self-custody
- Blockchain settlement
- Web3 integrations
- Crypto-native transactions
- Verifiable transaction history
The exact implementation depends on the blockchain, smart contracts, oracle system, and operating model selected for the platform.
Kalshi vs Polymarket: Trading Model
The trading model is an important part of prediction market software development.
What Is CLOB?
CLOB stands for Central Limit Order Book. It allows users to submit buy and sell orders that are matched based on price and availability.
A CLOB-based prediction market typically includes:
- Bid and ask prices
- Order matching
- Market depth
- Price discovery
- Market makers
- Trade execution
Both centralized and crypto-native prediction market platforms can use order-book-based trading.
CLOB vs AMM
An Automated Market Maker (AMM) uses liquidity pools and pricing algorithms instead of relying entirely on individual buy and sell orders.
| Factor | CLOB | AMM |
|---|---|---|
| Liquidity | Order book | Liquidity pool |
| Matching | Buy and sell orders | Automated pricing |
| Price discovery | Market-driven | Algorithmic |
| Liquidity providers | Market makers | Pool liquidity providers |
| Common use | Exchange-style trading | Automated liquidity |
Businesses can also consider a hybrid model that combines different liquidity and trading mechanisms.
Kalshi vs Polymarket: Liquidity and Market Depth
Liquidity affects how easily users can enter and exit prediction markets.
Important liquidity factors include:
- Bid/ask spread
- Market depth
- Trading volume
- Slippage
- Market makers
- Order execution
Businesses building a prediction market platform can develop liquidity strategies around market-maker integrations, initial liquidity, liquidity incentives, popular market selection, and real-time monitoring.
A strong liquidity system can help support smoother trading and better price discovery.
Kalshi vs Polymarket: Oracle and Settlement Differences
Settlement determines how the final outcome of a prediction market is established.
Centralized Settlement
A centralized model can use defined contract rules and specified outcome sources. The platform can manage the resolution process and settle the resulting positions through its backend.
This approach can include:
- Contract rules
- Outcome sources
- Resolution procedures
- Settlement engine
- Audit records
Blockchain-Based Settlement
A blockchain-based model can use smart contracts and oracle infrastructure to determine and record market outcomes.
The process may include:
- Outcome proposal
- Oracle verification
- Dispute mechanism
- Final resolution
- Smart-contract settlement
- On-chain records
Resolution rules can differ between prediction market products, so the settlement mechanism should be clearly defined before development.
Kalshi vs Polymarket: API and Technology
APIs allow prediction market platforms to connect trading systems, market data, applications, and external services.
Kalshi-Style API Architecture
A centralized prediction market can use:
- REST APIs
- WebSocket connections
- Market data APIs
- Trading APIs
- Authentication
- Institutional integrations
Polymarket-Style API Architecture
A crypto-native platform can combine:
- Market data APIs
- CLOB APIs
- WebSocket connections
- Wallet integration
- Blockchain RPC
- Smart contracts
- Web3 infrastructure
The final technology stack depends on the platform’s business model, trading requirements, blockchain requirements, and integrations.
Kalshi vs Polymarket: Compliance Considerations
Compliance should be considered before selecting the technical architecture for a prediction market platform.
A centralized model may include technical controls for:
- KYC
- AML
- Geolocation
- User limits
- Market restrictions
- Risk monitoring
- Audit logs
A decentralized model may require additional consideration around wallet-based access, jurisdiction restrictions, identity systems, transaction monitoring, smart-contract controls, and oracle governance.
The applicable requirements depend on the business model, target market, jurisdictions, and operating structure.
Centralized vs Decentralized: Which Architecture Fits?
Both approaches can support scalable prediction market infrastructure, but their technical requirements are different.
| Factor | Centralized | Decentralized |
|---|---|---|
| Trade execution | Centralized processing | Depends on architecture and network |
| Settlement | Platform-managed | Blockchain-based |
| Infrastructure control | High | Distributed |
| Blockchain dependency | Low or optional | Higher |
| Operational control | High | More distributed |
| Transparency | Platform-dependent | Higher on-chain visibility |
| Development requirements | Backend and exchange infrastructure | Backend + blockchain/Web3 infrastructure |
A centralized architecture may suit businesses that require strong operator control, traditional payment options, controlled markets, and centralized compliance workflows.
A decentralized architecture may suit businesses that require blockchain settlement, self-custody, Web3 integrations, and on-chain transparency.
A hybrid architecture can combine centralized administration with blockchain-based components where appropriate.
What Should Businesses Consider Before Building?
Before starting prediction market development, businesses should evaluate:
Target Market
Define the users, market categories, and countries the platform will serve.
Regulatory Model
Review applicable licensing, KYC, AML, and geographic requirements.
Trading Model
Choose between CLOB, AMM, or a hybrid trading architecture.
Liquidity Strategy
Plan market makers, liquidity sources, incentives, and market depth.
Settlement Model
Define how outcomes will be verified, disputed, and settled.
Technology Stack
Select the backend, trading engine, database, blockchain, oracle, wallet, and API infrastructure.
Budget and Development Timeline
Development requirements can vary depending on whether the platform is custom-built, turnkey, or based on white-label prediction market software.
Kalshi vs Polymarket: Which Model Should You Build?
The right prediction market model depends on the business requirements.
A Centralized Model May Fit Businesses That Need:
- Centralized control
- Operator-managed markets
- Traditional payment rails
- Compliance workflows
- Centralized risk management
- Exchange-style operations
A Decentralized Model May Fit Businesses That Need:
- Blockchain settlement
- Self-custody
- On-chain transparency
- Web3 integrations
- Crypto-native users
- Distributed infrastructure
A Hybrid Model May Fit Businesses That Need:
- Centralized administration
- Blockchain settlement
- Flexible liquidity
- Multiple payment options
- Controlled market creation
- Web3 integrations
The technology model should be selected based on the target users, jurisdiction, trading requirements, liquidity strategy, and settlement approach.
Build a Prediction Market Based on Your Business Model
Building a prediction market platform requires more than a trading interface. The platform needs a suitable architecture for market creation, order management, liquidity, settlement, security, compliance, and administration.
Businesses can choose a custom, turnkey, white-label, centralized, decentralized, or hybrid approach based on their requirements.
Frequently Asked Questions
What is the difference between Kalshi and Polymarket?
Kalshi follows a more centralized exchange-style model, while Polymarket uses a crypto-native architecture with blockchain-based components. Their differences include trading infrastructure, custody, settlement, market access, and technology requirements.
Is Kalshi centralized or decentralized?
Kalshi uses a centralized exchange-style architecture where the platform manages core trading and operational functions.
Is Polymarket centralized or decentralized?
Polymarket uses blockchain and crypto-native infrastructure, including blockchain-based settlement components and wallet-based interactions. Specific architecture can vary across platform components.
Which is better, Kalshi or Polymarket?
The appropriate model depends on the business requirements. Centralized and decentralized architectures have different requirements for compliance, custody, settlement, liquidity, infrastructure, and user access.
Can I build a prediction market like Kalshi or Polymarket?
Yes. Businesses can develop prediction market platforms using centralized, decentralized, or hybrid architectures, depending on their target market, technology requirements, and operating model.
What technology is used to build a prediction market platform?
A prediction market platform can use a frontend, backend, database, trading engine, CLOB or AMM, APIs, payment systems, admin panel, blockchain, wallets, smart contracts, and oracle infrastructure.
What is CLOB in a prediction market?
CLOB stands for Central Limit Order Book. It matches buy and sell orders based on price and availability and can support market depth, price discovery, and exchange-style trading.
What is the difference between centralized and decentralized prediction markets?
Centralized prediction markets rely primarily on operator-controlled infrastructure, while decentralized models use blockchain, smart contracts, wallets, and other Web3 components.
How are prediction markets resolved?
Markets can be resolved using predefined outcome rules and verified data sources. Depending on the architecture, settlement can be managed by centralized platform infrastructure or supported through blockchain and oracle mechanisms.
How much does it cost to build a prediction market platform?
The cost depends on the platform type, features, trading engine, liquidity requirements, blockchain integrations, compliance requirements, security, and development approach. Custom platforms generally require more development than ready-made or white-label solutions.
What should I choose: CLOB, AMM, or hybrid?
CLOB, AMM, and hybrid models have different liquidity and trading characteristics. The suitable option depends on the platform’s market structure, liquidity strategy, user requirements, and technical architecture.
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