What Prediction Market Exchanges Does FinFeedAPI Integrate With?

Prediction markets have evolved from niche forecasting tools into one of the most interesting sources of alternative financial data.

Researchers use them to study collective intelligence. Trading firms compare prediction markets with traditional financial markets to identify information that may not yet be reflected in asset prices.

The challenge is that prediction market data doesn't come from a single exchange.

Unlike traditional equities, where market data is concentrated around regulated stock exchanges, prediction markets are fragmented across multiple platforms. Each exchange has its own trading engine, market structure, settlement model, API, identifiers, and data formats.

For developers, integrating each venue individually quickly becomes expensive. Every API has different authentication, endpoints, schemas, market identifiers, timestamps, and historical data formats. FinFeedAPI solves this by providing one unified API for prediction market data across the industry's leading platforms:

• Polymarket
• Kalshi
• Manifold
• Myriad
• Hyperliquid

You do not have to maintain separate integrations anymore… developers can receive standardized market data through a single interface while preserving the unique characteristics of each exchange.

Prediction Market Exchanges Supported by FinFeedAPI

These exchanges share a common purpose… they allow participants to trade on future outcomes, but they are built on very different foundations.

Some markets use fully collateralized blockchain-based outcome tokens. Others list regulated event contracts. Some rely on decentralized validators for settlement, while others resolve markets through predefined exchange rules or community processes.

Liquidity also varies significantly: some venues use central limit order books, some rely on automated market makers, and others support both.

These differences matter because they shape the data itself.

A prediction market price is more than just a probability. It reflects the behavior of a specific group of participants trading within a specific market structure under a specific set of rules.

Understanding those differences is essential when building analytics, comparing market efficiency, backtesting prediction strategies, or training machine learning models.

Polymarket

If there is one platform that brought prediction markets into the mainstream, it's Polymarket.

Launched in 2020, Polymarket has grown into the largest decentralized prediction market by trading activity and liquidity. Built on Polygon, it enables anyone to buy and sell positions on future events without relying on a centralized operator to hold funds or settle trades.

Its markets cover politics, macroeconomics, cryptocurrencies, business, sports, science, and global news, making it one of the broadest sources of real-time forecasting data available today.

A Market Price Is a Probability

Every Polymarket market asks a single question with two possible outcomes:

• YES
• NO

Each share trades between $0.00 and $1.00.

The current price reflects the market's implied probability. If a YES share trades at $0.73, traders collectively assign roughly a 73% probability to that outcome at that moment.

Unlike polling data or expert forecasts, these probabilities change continuously as participants react to new information and execute trades.

Order Books Instead of Automated Market Makers

One reason Polymarket has attracted professional traders is its use of a Central Limit Order Book (CLOB).

Participants submit limit orders that are matched against one another, producing familiar market mechanics:

• bid and ask prices,
• market depth,
• executed trades,
• spreads,
• resting liquidity.

This is fundamentally different from prediction markets that rely entirely on automated market makers, where prices are determined by mathematical liquidity curves rather than competing buy and sell orders.

For anyone analyzing market microstructure, order book data provides far more information than the last traded price alone.

Transparent Settlement

Trading takes place on Polygon using blockchain-native outcome tokens.

When a market resolves, the winning position becomes redeemable while the losing position expires worthless. Resolution is handled through the UMA Optimistic Oracle, which provides a transparent process for proposing, disputing, and confirming outcomes.

Because positions, trades, and settlement all exist on public infrastructure, Polymarket has become one of the most transparent real-money prediction markets available.

Beyond Prices

Looking only at the current probability tells only part of the story.

Researchers often analyze how a market reached its current price by examining:

• every executed trade,
• changes in bid and ask spreads,
• liquidity entering or leaving the book,
• shifts in order book depth,
• trading activity leading up to market resolution.

This historical market behavior is often more valuable than the final probability itself, particularly for quantitative research, strategy development, and AI training.

Kalshi

While Polymarket is built on blockchain infrastructure, Kalshi approaches prediction markets from the opposite direction.

Kalshi is a CFTC-regulated exchange that lists event contracts under U.S. financial regulations. Rather than operating as a decentralized protocol, it functions as a regulated marketplace where participants trade contracts tied to measurable real-world events.

This makes Kalshi unique among major prediction markets. It combines the mechanics of financial exchanges with contracts whose value depends on whether a specific event occurs.

Event Contracts

Every Kalshi market is based on a clearly defined question with objective settlement criteria.

Contracts are listed across a wide range of categories, including:

• Economics
• Inflation
• Interest rates
• Federal Reserve decisions
• Politics and elections
• Weather
• Energy
• Public policy
• Business
• Technology
• Sports

Each contract settles at $1.00 if the event occurs or $0.00 if it does not.

During trading, prices fluctuate between those values as market participants continuously reassess the probability of the final outcome.

Built Like a Financial Exchange

Although the underlying asset is an event rather than a stock or commodity, trading follows familiar exchange mechanics.

Kalshi operates a central limit order book, allowing participants to place market and limit orders while trading against other market participants.

As a result, market data includes:

• executed trades,
• bid and ask quotes,
• order book depth,
• price history,
• trading volume,
• market status.

For quantitative analysis, these datasets resemble traditional exchange feeds far more closely than blockchain transaction data.

Regulated Market Structure

One of Kalshi's defining characteristics is its regulatory framework.

Markets are listed under rules approved by the U.S. Commodity Futures Trading Commission (CFTC), with clearly documented contract specifications and settlement procedures.

For institutions and researchers, this provides a standardized environment where contract definitions, market rules, and resolution processes remain consistent across the platform.

A Different Signal

Kalshi and Polymarket often cover similar topics, but they represent different trading ecosystems.

Polymarket reflects activity from a decentralized, global user base operating on blockchain infrastructure.

Kalshi reflects activity on a regulated U.S. exchange with its own participant base, trading rules, and market structure.

Comparing prices, liquidity, and trading activity across both venues can reveal how different groups of market participants assess the same event.

Manifold

Not every prediction market is built around real money.

Manifold takes a different approach by focusing on forecasting rather than financial speculation. Instead of trading with dollars or cryptocurrencies, users trade with Mana, the platform's virtual currency.

That single design decision changes who participates, what questions are asked, and how markets evolve.

Today, Manifold is the largest community-driven prediction market, with thousands of user-created markets covering everything from politics and economics to technology, entertainment, sports, and internet culture.

Anyone Can Create a Market

Unlike traditional exchanges, Manifold is not limited to professionally listed contracts.

Users can create their own markets, define the resolution criteria, and choose the market type. This results in a constantly expanding catalog of questions that often appears long before similar topics reach larger exchanges.

The platform supports several market formats, including:

• Yes/No markets
• Multiple choice markets
• Numeric prediction markets
• Free response markets

This flexibility makes Manifold an interesting source of forecasting data beyond financial events.

A Different Trading Model

Instead of operating solely as an order book exchange, Manifold combines multiple pricing mechanisms depending on the market type.

Some markets use automated market maker pricing, while others support limit orders and direct matching between participants.

For developers, this means the available market data extends beyond simple prices and includes information about market structure, trading activity, liquidity, and historical probability changes.

Community Resolution

Market outcomes are typically resolved by the market creator, with moderation and dispute processes available when necessary.

This differs from exchanges that rely on regulated settlement procedures or decentralized oracle networks. The result is a platform capable of supporting a much broader range of questions, including topics that cannot easily be verified through official data sources.

Understanding how markets are resolved is an important part of interpreting historical prediction data, particularly when comparing results across different exchanges.

A Different Type of Signal

Manifold often captures something that regulated and blockchain-based exchanges do not: early community expectations.

Because anyone can create a market, discussions frequently emerge around niche topics, technology announcements, product launches, online communities, and scientific developments before they become widely traded elsewhere.

Rather than measuring financial risk, many Manifold markets reflect collective opinion, curiosity, or expert knowledge within specific communities.

That makes the platform valuable for researchers studying forecasting behavior, calibration, market dynamics, and crowd intelligence.

Myriad

Myriad is one of the newest major prediction market platforms, combining blockchain settlement with a trading experience designed for active markets.

Built on BNB Smart Chain, Myriad supports non-custodial trading while introducing features more commonly associated with cryptocurrency exchanges, including both central limit order books and automated market makers (AMMs).

This hybrid approach gives traders multiple sources of liquidity while allowing developers to analyze how different execution models influence market behavior.

More Than Binary Markets

Like other prediction market platforms, Myriad lists contracts tied to future events.

Markets span topics such as:

• Politics
• Economics
• Cryptocurrency
• Business
• Technology
• Sports
• Entertainment

Alongside traditional event markets, Myriad also introduced perpetual sentiment markets markets that do not resolve on a fixed date but continuously reflect participants' expectations.

This creates a different category of prediction market data, where probabilities evolve without a predefined settlement event.

Hybrid Liquidity Model

One of Myriad's defining characteristics is its support for multiple trading mechanisms.

Depending on the market, liquidity can come from:

• Central limit order books
• Automated market makers (AMMs)

For market participants, this offers greater flexibility.

For researchers and quantitative teams, it creates an opportunity to compare how pricing, spreads, execution quality, and liquidity differ between order-driven and liquidity pool-based markets within the same platform.

Blockchain-Native Trading

Trading on Myriad is fully non-custodial.

Users connect their own wallets, execute trades directly on-chain, and retain control of their assets throughout the trading process.

This provides complete transparency into market activity while eliminating the need for centralized custody.

Because every transaction is recorded on-chain, market history can be analyzed alongside blockchain activity when studying trading behavior.

A Growing Source of Prediction Market Data

Although newer than Polymarket or Kalshi, Myriad introduces market mechanics that make it an increasingly valuable source of prediction market data.

Its combination of blockchain settlement, hybrid liquidity, and perpetual markets expands the range of market structures available to developers, researchers, and AI teams working with forecasting data.

As the ecosystem continues to evolve, Myriad offers another perspective on how participants price uncertainty across decentralized markets.

Hyperliquid

Hyperliquid is best known as a high-performance decentralized exchange for perpetual futures, but it has also expanded into prediction markets through HIP-4, a framework for creating on-chain event contracts.

Unlike standalone prediction market platforms, Hyperliquid integrates these contracts directly into its existing trading infrastructure. Prediction markets share the same matching engine, settlement layer, and trading environment as the exchange's other markets.

This makes Hyperliquid one of the few platforms where prediction markets exist as part of a broader trading ecosystem rather than a dedicated forecasting application.

HIP-4 Outcome Contracts

HIP-4 introduces standardized outcome contracts that represent the result of a future event.

Markets are listed with clearly defined resolution conditions and settle after the outcome is determined by the network's validator consensus.

Because these contracts are native to Hyperliquid, they benefit from the same infrastructure that powers the rest of the exchange.

Built on HyperCore

Prediction markets run on HyperCore, Hyperliquid's custom Layer 1 blockchain.

Trading uses a central limit order book, allowing participants to submit bids and asks in the same way they trade perpetual futures or spot assets.

For developers, this produces familiar market datasets, including:

• trades,
• bid and ask quotes,
• order book snapshots,
• market depth,
• historical price data,
• trading volume.

The consistency of the trading engine makes prediction market data directly comparable with other markets available on the exchange.

On-Chain Settlement

Markets are fully collateralized and settle on-chain using Hyperliquid's native infrastructure.

Once an event is resolved, winning positions are settled automatically according to the protocol's rules, without relying on an external oracle network or centralized operator.

This creates a transparent settlement process while keeping trading and settlement within a single ecosystem.

Prediction Markets Inside a Trading Platform

Hyperliquid represents a different direction for prediction markets.

Rather than building an exchange dedicated exclusively to forecasting, it incorporates event contracts into an established trading venue already used for cryptocurrency markets.

As a result, prediction markets become another tradable instrument alongside spot assets and perpetual futures, giving researchers and quantitative teams an opportunity to compare how expectations are priced across different market types within the same exchange.

One API for Every Prediction Market

Each prediction market exchange has its own strengths.

Some focus on regulated event contracts. Others prioritize decentralization, community forecasting, or blockchain-native trading. Together, they provide a broader view of how markets estimate the probability of future events.

For developers, however, that diversity comes at a cost.

Every platform exposes its own API, market identifiers, authentication methods, response formats, and historical datasets. Building a system that works across multiple exchanges means maintaining separate integrations, handling different schemas, and continuously adapting to API changes.

FinFeedAPI removes that complexity.

Through a single API, developers can access standardized prediction market data from:

• Polymarket
• Kalshi
• Manifold
• Myriad
• Hyperliquid

The platform normalizes market metadata, trades, quotes, order books, OHLCV data, and historical datasets into one consistent format, making it possible to compare markets without first reconciling five different APIs.

This unified approach supports a wide range of use cases, including:

Prediction markets continue to evolve. New exchanges appear, trading models change, and market structures become more sophisticated. Building directly against individual APIs means keeping pace with every one of those changes.

A unified data layer allows developers to spend their time analyzing markets instead of maintaining integrations.

Explore Prediction Market Data

FinFeedAPI provides real-time and historical prediction market data through a single, standardized API covering the leading prediction market exchanges.

Explore the Prediction Markets API, create a free API key, and start building with complete, normalized prediction market data today.

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