Kalshi vs. DraftKings Predictions: CFTC-Regulated Event Contracts Compared

Kalshi and DraftKings Predictions are the only two CFTC-regulated designated contract markets (DCMs) offering binary event contracts to US retail traders. Same regulatory framework, different platforms, different strengths.

The US event contract landscape consolidated around two names by early 2026. Kalshi, the first-mover that secured its DCM license in 2020 and launched in 2021, built the category from scratch. DraftKings Predictions entered through its acquisition of Railbird, bringing CFTC-regulated event contracts to a platform that already served over 20 million sports bettors. Both platforms let you trade yes/no contracts on real-world events — politics, economics, weather, sports milestones, and more — but they differ substantially in execution, market coverage, developer tooling, and the type of trader they attract.

This comparison covers every dimension that matters for both retail traders and AI agent developers. For a broader comparison that includes Polymarket, see our three-way prediction market comparison.

Quick Verdict

Choose Kalshi if you want the broadest market selection, a mature developer API (REST + FIX), institutional-grade order types, and a platform purpose-built for event contracts from the ground up.

Choose DraftKings Predictions if you want to trade event contracts alongside DraftKings Sportsbook, value brand familiarity, prefer a mobile-first consumer experience, and believe that the DraftKings user base will drive superior retail liquidity over time.

For AI agent developers, Kalshi is the clear winner today. Its REST API and FIX protocol support are production-ready with strong documentation, while DraftKings Predictions programmatic access is still maturing.

Both Platforms at a Glance

Kalshi

Kalshi launched in July 2021 as the first CFTC-regulated exchange dedicated exclusively to event contracts. Founded by MIT graduates Tarek Mansour and Luana Lopes Lara, the platform was designed from day one as a financial exchange — with order books, limit orders, and an API-first architecture. Kalshi fought high-profile regulatory battles to list contracts on elections and sports, winning CFTC approval to offer political event contracts in late 2024 after a federal court ruled in its favor.

Kalshi operates as a pure exchange: it does not take the other side of trades, and all contracts settle based on publicly verifiable outcomes. The platform has attracted both retail traders and institutional participants, including trading firms that connect via the FIX protocol.

DraftKings Predictions

DraftKings Predictions emerged from DraftKings’ acquisition of Railbird, a startup that had secured its own DCM designation from the CFTC. By integrating event contracts into the DraftKings ecosystem, the company created a seamless path from daily fantasy sports and sports betting into prediction markets. DraftKings Predictions benefits from the parent company’s brand recognition, existing user accounts, shared wallet infrastructure, and marketing machine.

The strategic angle is cross-selling: a DraftKings Sportsbook user who bets on the Super Bowl can also trade event contracts on the halftime show, the national anthem length, or the winning margin — all within the same app. For more detail, see our DraftKings Predictions platform review.

Side-by-Side Comparison Table

Market Coverage Comparison

Kalshi’s market coverage is broader and deeper. Having operated since 2021, the platform has built out event categories methodically, starting with economics and weather before expanding into politics, technology, entertainment, and sports.

Where Kalshi Leads

• Economic indicators. Kalshi pioneered event contracts on Fed rate decisions, CPI prints, GDP numbers, and jobs reports. These markets attract institutional flow and tend to have strong liquidity.
• Weather events. Temperature contracts, hurricane landfall, snowfall totals — Kalshi was the first to offer regulated weather derivatives to retail traders.
• Science and technology. Markets on AI milestones, space launches, and tech product releases.
• Political breadth. After its court victory, Kalshi now offers contracts across federal, state, and international elections with deep order books.

Where DraftKings Predictions Leads

• Sports-adjacent events. DraftKings has a natural advantage in markets tied to sports outcomes — Super Bowl props, MVP awards, season milestones — because these cross-sell directly from the sportsbook.
• Entertainment and culture. Award shows, reality TV outcomes, and pop culture events leverage DraftKings’ entertainment-oriented user base.
• Sportsbook cross-referencing. Traders can compare event contract prices with sportsbook odds on the same event within a single platform, creating a unique analytical advantage.

Overlapping Markets

Both platforms offer contracts on major political events (presidential elections, congressional control), economic indicators (Fed decisions, inflation data), and high-profile sporting milestones. These overlapping markets are where cross-platform price comparison becomes most valuable — and where arbitrage opportunities exist. See our cross-platform arbitrage guide for strategies.

API and Developer Comparison

This is where the two platforms diverge most dramatically, and it is the section most relevant to the AgentBets audience.

Kalshi API

Kalshi built its platform API-first. The developer ecosystem includes:

REST API. Full-featured endpoints for:

• Market discovery and data retrieval (prices, volumes, order book snapshots)
• Order placement (market, limit, and batch orders)
• Position management (open positions, P&L, history)
• Portfolio analytics (balance, margin, settlement history)
• Account management

FIX Protocol. The Financial Information eXchange protocol is the industry standard for institutional electronic trading. Kalshi’s FIX gateway supports:

• Ultra-low-latency order routing
• Streaming market data
• Drop-copy execution reports
• Sub-account support for fund managers

WebSocket feeds. Real-time streaming data for:

• Order book updates
• Trade execution notifications
• Market status changes

Python SDK. An official Python client library maintained by Kalshi that wraps the REST API with convenience methods for common operations.

Documentation. Comprehensive API documentation with code examples, rate limit specifications, error handling guides, and a sandbox environment for testing.

For a step-by-step walkthrough, see our Kalshi API integration guide.

DraftKings Predictions API

DraftKings Predictions is still building out programmatic access. As of early 2026:

• Public market data is available through web endpoints, but a formal documented REST API for trading is not yet fully released.
• OAuth-based authentication is in development for third-party integrations.
• Rate limits and documentation are less mature than Kalshi’s offering.
• No FIX protocol support — institutional-grade connectivity is not a current priority.

DraftKings has deep engineering talent and the financial resources to build a competitive API. The question is timing and prioritization — DraftKings may view the retail mobile experience as a higher priority than developer tooling, at least in this phase.

Agent Compatibility Score

If you are building an AI agent that needs to place trades programmatically, Kalshi is the only production-ready option among CFTC-regulated platforms today. For a broader API comparison that includes Polymarket, see our unified prediction market API comparison.

Fees and Cost Structure

Fee structures differ in philosophy. Kalshi uses an explicit exchange fee model; DraftKings uses spread-based pricing.

Kalshi Fees

• Exchange fee: $0.01 per contract per side (you pay when you buy and when you sell or when the contract settles).
• No deposit fees for ACH transfers.
• No withdrawal fees for standard ACH.
• Wire transfer fees may apply for expedited withdrawals.
• No inactivity fees.

The fee structure is transparent and predictable. On a $0.50 contract, the round-trip cost (buy + settlement) is $0.02, or 4% of the notional. On contracts near $0.90, the round-trip cost drops to about 2.2% of notional. The closer a contract trades to $0 or $1, the higher the effective fee percentage — a structural consideration for agents trading high-conviction positions.

DraftKings Predictions Fees

• No explicit per-contract fee — instead, pricing incorporates a spread.
• The spread between the buy price and the implied “true” probability effectively functions as the platform’s take rate. This spread varies by market and liquidity conditions.
• DraftKings wallet deposits and withdrawals follow DraftKings’ standard banking terms — multiple deposit methods with generally fast processing.

Spread-based pricing can be cheaper or more expensive than Kalshi’s fixed fee depending on the specific market and trade size. For liquid markets with tight spreads, the effective cost may be lower. For illiquid markets where spreads widen, the cost may be significantly higher.

Cost Comparison for a Typical Trade

Consider buying 100 contracts at $0.50 (a $50 position):

For high-frequency trading strategies or arbitrage bots, Kalshi’s predictable fee structure is easier to model. Agents can calculate exact break-even prices before placing orders. With spread-based pricing, the agent needs to measure the live spread on each trade to determine effective cost.

Liquidity Analysis

Liquidity determines whether you can actually execute trades at reasonable prices — and it is the single most important factor for anyone running automated strategies.

Kalshi Liquidity Profile

Kalshi has had five years to build liquidity organically. The platform benefits from:

• Institutional market makers that provide continuous two-sided quotes on popular markets.
• Algorithmic traders who connect via FIX protocol and provide additional depth.
• Retail flow that has grown steadily, particularly around political events.
• Event-driven spikes — major elections and economic releases can see order books deepen dramatically as interest surges.

On high-profile markets (presidential elections, Fed rate decisions), Kalshi order books routinely show thousands of contracts at each price level with penny-wide spreads. On niche markets (specific state election outcomes, obscure weather events), liquidity can be thin with wider spreads.

DraftKings Predictions Liquidity Profile

DraftKings Predictions has a different liquidity profile:

• Massive potential retail flow. With over 20 million DraftKings accounts, even a small percentage converting to event contract trading would create substantial liquidity.
• Cross-product users. Sports bettors who discover event contracts through the DraftKings app represent organic, recurring liquidity — not one-time election tourists.
• Market maker partnerships. DraftKings has the financial resources and exchange relationships to attract professional market makers.
• Still ramping up. As a newer platform, current liquidity is thinner than Kalshi on most markets, though sports-adjacent markets may already show competitive depth.

Liquidity by Market Type

For AI agents, the liquidity picture means Kalshi is currently more reliable for executing larger orders without significant slippage. But agents should monitor DraftKings Predictions liquidity trends — as the platform matures, the sheer size of the DraftKings user base could shift this balance.

Cross-Platform Arbitrage

The existence of two CFTC-regulated DCMs trading overlapping event contracts creates structural arbitrage opportunities. Because each platform has a different user base, different fee structure, and different liquidity dynamics, the same event can be priced differently on each platform.

How Cross-Platform Arb Works

Suppose a contract on whether the Fed will cut rates at the June meeting trades at $0.62 on Kalshi and $0.58 on DraftKings Predictions. An arbitrageur buys YES on DraftKings at $0.58 and buys NO on Kalshi at $0.38 (equivalent to selling YES at $0.62). Total cost: $0.96 per paired contract. Guaranteed payout: $1.00 (one side always wins). Gross profit: $0.04 per pair, minus fees.

Requirements for Automated Arb

1. Accounts on both platforms. Full KYC on each. Both use USD, so no currency conversion is needed (unlike arb involving Polymarket’s USDC).
2. Real-time price monitoring. An agent needs to monitor order books on both platforms simultaneously.
3. Execution speed. Arb windows between regulated platforms tend to be narrow because both have market makers monitoring for discrepancies.
4. Fee-adjusted calculations. The agent must calculate whether the price difference exceeds the combined fees on both platforms.
5. Position limit awareness. Both platforms impose position limits per market — the agent must track remaining capacity.

Practical Considerations

• Capital efficiency. Capital is tied up on both platforms simultaneously. You need sufficient balance on each side to execute when opportunities appear.
• Settlement timing. Both platforms settle in USD to US bank accounts, so capital recycling between platforms takes 1-3 business days.
• Market overlap identification. An agent must correctly match equivalent contracts across platforms, accounting for any differences in contract terms or resolution criteria.

For a complete guide to building a cross-platform arb system, see our cross-platform arbitrage strategy guide. For the broader comparison including Polymarket, see our three-way platform comparison.

User Experience Comparison

Kalshi UX

Kalshi’s interface is designed for traders. The web platform features:

• Order book visualization with real-time depth charts.
• Portfolio dashboard showing open positions, P&L, and trade history.
• Market browser organized by category with search and filtering.
• Price charts with historical price and volume data.
• Mobile apps for iOS and Android with full trading capabilities.

The design language is closer to a financial exchange than a consumer app. This is intentional — Kalshi wants to attract serious traders and normalize event contracts as a financial product. The learning curve is slightly steeper than a typical consumer app, but anyone familiar with stock or options trading will feel at home.

DraftKings Predictions UX

DraftKings Predictions inherits the DraftKings design system, which means:

• Consumer-first mobile experience. DraftKings has spent years optimizing its app for casual sports bettors, and event contracts benefit from that polish.
• Integrated navigation. Event contracts sit alongside sportsbook, daily fantasy, and casino products in a unified app. Cross-product discovery is seamless.
• Simplified presentation. Contract prices may be displayed in a more intuitive format for users unfamiliar with order book mechanics.
• Shared account and wallet. One login, one balance, across all DraftKings products.
• Promotional integration. DraftKings’ marketing engine (bonuses, promotions, referral rewards) extends to event contracts.

For casual traders making occasional predictions, DraftKings Predictions offers a smoother, more approachable onboarding experience. For power users and developers, Kalshi provides deeper functionality.

Decision Framework

Choose Kalshi When:

• You want to build or run an AI trading agent. Kalshi’s API is production-ready, documented, and supports institutional-grade protocols. No CFTC-regulated alternative comes close for programmatic trading.
• You trade economic or political markets. Kalshi has the deepest liquidity and broadest coverage in these categories.
• You want transparent, predictable fees. The per-contract fee model is easy to model and optimize around.
• You are an institutional trader. FIX protocol, sub-accounts, and API-first design cater to professional operations.
• You prioritize market breadth. Kalshi offers more event categories and more individual contracts than DraftKings Predictions.

Choose DraftKings Predictions When:

• You already use DraftKings Sportsbook. One account, one wallet, one app. The convenience of keeping everything in one ecosystem is real.
• You trade sports-adjacent events. DraftKings has a natural advantage in markets that overlap with sports betting.
• You want a consumer-friendly experience. If you find financial exchange interfaces intimidating, DraftKings’ app is more approachable.
• You believe in the liquidity thesis. If DraftKings converts even 5% of its 20 million users to event contracts, liquidity will be enormous.
• You value promotional incentives. DraftKings’ marketing engine offers deposit bonuses, free bets, and promotions that Kalshi does not match.

Use Both When:

• You are looking for cross-platform arbitrage. Price discrepancies between the two platforms create arb opportunities that only exist if you have accounts on both.
• You want maximum market coverage. Some events may be listed on one platform but not the other.
• You are building a comprehensive agent system. An AI agent that monitors both platforms has a broader opportunity set and can route orders to whichever offers better pricing. Browse our agent marketplace for tools that support multi-platform connectivity.

The Bigger Picture: Convergence

The existence of two competing CFTC-regulated event contract exchanges is a net positive for the market. Competition drives better pricing, more innovation, and broader market coverage. Kalshi pioneered the category and continues to lead on technology and market breadth. DraftKings brings distribution power that no startup can match.

For the convergence between sportsbooks and prediction markets to fully materialize, both platforms need to grow liquidity, expand market coverage, and improve accessibility. The winner may not be either/or — the US event contract market is large enough to support multiple successful platforms, especially as AI agents drive increasing trading volume across both.

The question is not which platform to choose exclusively. It is which to start with — and how quickly to expand to both.

Frequently Asked Questions

What is the difference between Kalshi and DraftKings Predictions?

Both are CFTC-regulated DCMs offering binary event contracts. Kalshi was first-to-market (2021) with broader event categories and a full developer API (REST + FIX protocol). DraftKings Predictions launched through the Railbird acquisition and benefits from DraftKings’ massive user base and brand recognition. Kalshi is more developer-friendly; DraftKings has more retail user liquidity potential and a more consumer-oriented experience.

Which has a better API — Kalshi or DraftKings Predictions?

Kalshi has a significantly more mature API ecosystem with REST endpoints for market data, order placement, and portfolio management, plus FIX protocol for institutional-grade trading. DraftKings Predictions API access is still evolving. For AI agent developers building automated trading systems, Kalshi is currently the clear choice for programmatic access. See our Kalshi API guide for integration details.

Can you arbitrage between Kalshi and DraftKings Predictions?

Yes, on overlapping event contracts. Since both offer binary contracts on similar events (political, economic, weather) but with different user bases, price discrepancies occur regularly. An AI agent monitoring both platforms can identify and execute cross-platform arbitrage when the same event is priced differently, provided the price gap exceeds combined fees on both platforms.

Which has more liquidity — Kalshi or DraftKings Predictions?

Kalshi currently has more liquidity on most event categories due to its longer operating history, institutional market-maker relationships, and algorithmic trading participants. DraftKings Predictions has the potential for greater retail liquidity given DraftKings’ 20+ million user base, but is still building market depth. Sports-adjacent markets on DraftKings may already rival Kalshi for depth in that specific category.

Are Kalshi and DraftKings Predictions legal in all US states?

Both platforms are federally regulated by the CFTC as Designated Contract Markets, but availability varies by state. Kalshi is available in over 40 states. DraftKings Predictions is available in states where DraftKings already holds operational licenses, which covers most of the US but not all states. Check each platform’s website for current state-by-state availability.

Can I use the same strategy on both platforms?

Yes. Both platforms offer binary event contracts that settle at $0 or $1. A strategy that works on Kalshi will generally translate to DraftKings Predictions for equivalent markets. The key differences to account for are fee structure (per-contract vs. spread-based), liquidity (order book depth varies), and API capabilities (Kalshi supports more programmatic execution methods). An AI agent designed for multi-platform operation can abstract these differences behind a unified interface.