Prediction markets are becoming one of the most interesting data sources in finance.
They do not only show what happened.
They show what people think may happen next.
Election outcomes. Economic releases. Crypto events. Policy decisions. Sports results. Company-related scenarios. Prediction markets turn expectations into prices, and those prices can become useful signals for analysts, researchers, developers, traders, media teams, and AI agents.
That is where API Bricks comes in.
API Bricks is the parent company behind specialized market data products, including CoinAPI and FinFeedAPI. It provides real-time and historical market data across crypto, equities, FX, SEC filings, and prediction markets.
The Prediction Market API, available through FinFeedAPI, gives developers one standardized way to access prediction market data from:
- Polymarket
- Kalshi
- Myriad
- Manifold
- HIP-4: Outcome markets
Instead of building five separate integrations, teams can work with one API, one data model, and one developer workflow.
What Is a Prediction Market API?
A Prediction Market API is a data interface that lets developers access structured information from prediction market platforms.
That data can include:
- market titles and descriptions
- outcome names
- prices
- active market IDs
- latest trades
- latest quotes
- bid and ask levels
- order book snapshots
- historical trades and quotes
- OHLCV candles
- market status
- exchange metadata
In simple terms, it turns prediction market activity into machine-readable data.
Prediction market data is usually fragmented. Each platform has its own structure, identifiers, formats, and update patterns. A unified API helps teams compare activity across platforms without rebuilding the same data pipeline again and again.
Why Prediction Market Data Matters
Prediction markets are interesting because prices often reflect collective expectations.
A “Yes” contract trading around 0.62 may suggest that market participants currently price the outcome near 62%, depending on the market structure and venue rules. That does not mean the event will happen. It means the market is assigning a price to that possibility.
This makes prediction market data useful for tracking how expectations change over time.
For example:
- Did election odds move after a debate?
- Did a crypto governance market react to new protocol news?
- Did liquidity increase before a major economic announcement?
- Did different platforms price the same event differently?
- Did a news story change the bid/ask spread or trading activity?
A Prediction Market API helps answer those questions with data instead of screenshots, manual exports, or one-off scrapers.
Where API Bricks Fits In
API Bricks brings multiple financial data products together under one company. Its ecosystem includes CoinAPI for crypto market data and FinFeedAPI for financial datasets such as stocks, FX, SEC filings, and prediction market data.
The Prediction Market API is part of this broader data layer.
That matters because prediction markets are not isolated anymore. They often connect with:
- crypto markets
- macroeconomic events
- political risk
- company filings
- market sentiment
- AI research workflows
- trading and analytics systems
A developer may want prediction market data next to crypto prices, stock data, or SEC filing signals. API Bricks is built around that broader data infrastructure.
What Data Does the Prediction Market API Provide?
The API gives access to both the latest and historical prediction market data.
| Data Type | What It Helps You Do |
| Exchange metadata | Discover supported venues and exchange identifiers |
| Market listings | Retrieve market IDs, titles, descriptions, outcomes, prices, status, and exchange IDs |
| Active market IDs | Quickly discover currently active markets before requesting full details |
| Latest activity | Access the latest trade and latest quote for a market outcome |
| Recent trades and quotes | Analyze short-term activity, recent liquidity, and price movement |
| Historical trades and quotes | Pull historical event-level data using full-day or bounded time range queries |
| OHLCV candles | Build charts, backtests, dashboards, and probability-over-time views |
| Latest OHLCV | Retrieve recent candles across supported periods |
| Order books | Analyze bids, asks, spreads, market depth, and order book imbalance |
| MCP tools | Let AI agents query prediction market data through MCP-compatible clients |
The API supports REST, JSON-RPC, and MCP access. The public documentation describes REST for request-response access, JSON-RPC as a proxy around REST endpoints, and MCP as a hosted server for AI tools and agent workflows.
Supported Prediction Market Exchanges
The current product coverage includes five exchanges:
| Exchange | Why It Matters |
| Polymarket | Popular prediction market platform with broad event coverage |
| Kalshi | US-regulated event contract exchange |
| Myriad | Prediction market source for event-based markets |
| Manifold | Community-driven prediction market platform |
| HIP-4: Outcome markets | Supported exchange identifier for Hyperliquid-related outcome markets |
This multi-exchange coverage is important because prediction markets are not uniform. The same event can appear on different platforms, with different liquidity, pricing, structure, and user behavior.
A unified API makes comparison easier.
How the Prediction Market API Works
Most workflows start with discovery.
A typical developer flow looks like this:
- List supported exchanges
Start by calling the exchanges endpoint or MCPexchanges_listtool. - Choose an exchange
Use an exchange ID such asPOLYMARKET,KALSHI,MYRIAD, orMANIFOLD. - Find active markets
Use active market endpoints when you need compact market IDs. - Retrieve full market details
Use market history endpoints when you need titles, descriptions, prices, status, and outcomes. - Pull current activity
Fetch the latest trade, quote, or current order book snapshot. - Analyze historical data
Use trades, quotes, order book history, or OHLCV candles for research, dashboards, or backtesting. - Connect AI agents through MCP
Use the hosted MCP server when you want AI tools to query exchanges, markets, activity, order books, and OHLCV data directly.
REST, JSON-RPC, and MCP: Three Ways to Access the Same Data
Different teams build in different ways.
That is why the Prediction Market API supports three access styles.
| Protocol | Best For | Description |
| REST | Most developer integrations | Standard request-response API for live and historical data |
| JSON-RPC | RPC-style systems | Thin proxy around REST endpoints for read-only access |
| MCP | AI agents and tools | Hosted Model Context Protocol server for tool-based data access |
The MCP server exposes prediction market data as self-describing tools, which can be used by MCP-compatible clients and agent runtimes. The public docs list tools for exchange discovery, market activity, OHLCV time series, and order books.
Interesting Fact: Prediction Markets Are Not Just About “Odds”
A common mistake is to think prediction market data is only about probability.
It is more than that. A serious prediction market dataset can show:
- where liquidity is concentrated
- how spreads change before major events
- how fast markets react to new information
- whether one platform moves before another
- how volume develops around a news cycle
- whether market depth supports the displayed price
That is why order books, trades, quotes, and OHLCV data matter.
The price tells one part of the story.
The market structure tells the rest.
Key API Features for Developers
1. Market Discovery
Use exchange and market endpoints to discover available venues, active market IDs, and full market records.
This is useful when building:
- search tools
- event dashboards
- market scanners
- AI agents
- research databases
2. Latest Market Activity
The API can return the latest trade and latest quote for a specific market outcome.
This helps teams monitor:
- current bid/ask levels
- recent trade movement
- price changes
- short-term activity
3. Historical Trades and Quotes
Historical trade and quote data helps teams study how markets moved over time.
This is useful for:
- backtesting
- event studies
- liquidity analysis
- sentiment research
- trading strategy research
4. OHLCV Candles
OHLCV means open, high, low, close, and volume.
For prediction markets, OHLCV helps convert raw market movement into clean time-series data. The API supports periods ranging from seconds and minutes to hours, days, months, and years, according to the documented OHLCV period list.
5. Order Book Snapshots
Order book data shows bids and asks for a market outcome.
This helps analyze:
- spread
- depth
- liquidity
- imbalance
- available size at different prices
6. MCP Access for AI Agents
AI agents need clean tools, not messy scraping workflows.
With MCP access, agents can query prediction market data through hosted tools for exchanges, markets, activity, order books, and OHLCV time series.
Use Cases for the Prediction Market API
Forecasting Political and Economic Events
Prediction market data can help forecasting teams study how market expectations change around elections, policy decisions, inflation reports, rate decisions, and other major events.
Instead of checking markets manually, teams can use historical and latest data to track movement over time.
Consumer Behavior Research
Prediction markets can reflect how groups think about future outcomes.
Researchers can study changes in prices, liquidity, and activity to understand expectation shifts around products, public events, cultural moments, or economic behavior.
Event-Driven Trading
Event-driven teams can use prediction market data to monitor real-world events.
For example, they may track:
- price movement before announcements
- liquidity changes after news
- cross-platform market differences
- sudden shifts in trade activity
Corporate Decision Making
Companies can use prediction market data as one signal among many.
It may help teams understand expectations around policy changes, market risks, product launches, regulatory outcomes, or business-relevant events.
Crypto and DeFi Analytics
Crypto markets move quickly, and many crypto events are expectation-driven.
Prediction market data can help analytics teams track sentiment around:
- governance votes
- protocol upgrades
- ecosystem events
- regulatory decisions
- token-related milestones
News and Media
For media teams, prediction market data can add a live expectations layer to coverage.
Instead of saying “people are watching this event,” journalists and analysts can show how market-implied expectations changed over time.
Example: What a Developer Can Build
A developer could use the Prediction Market API to build a dashboard that shows:
- active markets across Polymarket, Kalshi, Myriad, Manifold, and HIP-4: Outcome markets
- current prices by outcome
- latest bid and ask
- spread and depth
- recent trades
- OHLCV chart over time
- volume and trade count
- cross-platform comparison
That dashboard could be used by a research team, trading desk, media company, AI agent, or analytics platform.
Prediction Market API vs. Manual Data Collection
| Manual Collection | Prediction Markets API |
| Requires separate platform integrations | One standardized API |
| Hard to scale across exchanges | Multi-exchange access |
| Inconsistent formats | Normalized data structure |
| Difficult historical analysis | Historical trades, quotes, OHLCV, and order book data |
| Not ideal for AI agents | MCP access for agent workflows |
| Time-consuming maintenance | Developer-ready endpoints |
Manual collection may work for a small test.
It does not work well when you need reliable, repeatable, multi-exchange data.
Start Building With Prediction Market Data
Whether you are building an AI agent, analytics dashboard, forecasting platform, trading workflow, or research tool, structured prediction market data can unlock a completely different view of market expectations.
The Prediction Market API by FinFeedAPI gives you one standardized way to access:
- Polymarket
- Kalshi
- Myriad
- Manifold
- HIP-4: Outcome markets
No fragmented integrations.
No custom scrapers.
No rebuilding the same infrastructure for every platform.
Just one API for prediction market trades, quotes, order books, OHLCV candles, historical data, and market discovery.
What You Can Do Next
- Explore live and historical prediction market data
- Compare markets across exchanges
- Analyze liquidity and market activity
- Build forecasting and analytics tools
- Connect AI agents through MCP access
- Start testing immediately with free API credits
Get your API key and start building with prediction market data today.
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- Prediction Markets: Complete Guide to Betting on Future Events
- Markets in Prediction Markets
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