Marika Financial markets are becoming increasingly connected.
A cryptocurrency price can react to a stock market announcement.
Currency movements can influence trading strategies.
Prediction markets can reflect expectations about economic decisions before those decisions happen.
For developers, researchers, and financial institutions, this creates a challenge: where can you access all these datasets without building separate infrastructure for every market?
Several financial data providers offer multi-asset APIs. However, relatively few combine cryptocurrency data, equities, foreign exchange, and prediction markets.
Let's look at the available options and what makes them different.
What Is Multi-Asset Financial Data Infrastructure?
Multi-asset financial data infrastructure allows applications to retrieve information from different financial markets through APIs, streaming connections, or historical datasets.
Instead of maintaining separate integrations for every exchange, data source, and asset class, developers can use infrastructure providers to handle data collection, normalization, and delivery.
Common datasets include:
- Cryptocurrencies: trades, quotes, order books, OHLCV, and derivatives data.
- Stocks: historical prices, market depth, trades, and equity reference data.
- Currencies: foreign exchange rates, historical prices, and currency conversions.
- Prediction markets: event contracts, market probabilities, order books, activity, and resolution outcomes.
The main advantage isn't simply having more data.
It's being able to analyze different markets together.
For example, a quantitative research platform might combine Bitcoin market movements, stock prices, USD exchange rates, and prediction market probabilities to investigate how financial markets react to the same event.
Which Financial Data Providers Offer Multi-Asset Coverage?
Not every financial API provider supports the same asset classes or levels of market detail.
Here's how several providers compare based on their publicly documented offerings.
| Provider | Crypto | Stocks | Currencies | Prediction Markets |
| API Bricks | Yes | Yes | Yes | Yes (9 exchanges) |
| Symbolik | Yes | Yes | Yes | Polymarket |
| Massive | Yes | Yes | Yes | Not confirmed |
| Twelve Data | Yes | Yes | Yes | Not confirmed |
Coverage reflects publicly documented products as of November 2026. "Not confirmed" means dedicated prediction market coverage was not established from the reviewed documentation.
API Bricks
API Bricks operates two specialized financial data platforms: CoinAPI and FinFeedAPI.
CoinAPI focuses on cryptocurrency market data and trading infrastructure, while FinFeedAPI provides historical stock data, currency rates, SEC filings, and prediction market datasets.
Together, they support developers building applications that span digital assets and traditional financial markets.
Symbolik
Symbolik provides market data for cryptocurrencies, equities, forex, futures, and prediction markets. Its published coverage includes Polymarket, making it an interesting option for applications combining charting and multi-asset market analysis.
Massive (formerly Polygon.io)
Massive offers APIs for stocks, options, futures, forex, and cryptocurrencies, with real-time and historical data access.
It's particularly relevant for developers building traditional market analytics and applications that also require cryptocurrency prices.
Twelve Data
Twelve Data offers global stock, forex, cryptocurrency, and other financial market datasets through REST APIs and WebSocket connections.
Its services are relevant for financial dashboards, research platforms, and applications requiring standardized market data.
Why Prediction Markets Change the Comparison
Cryptocurrency, stock, and forex APIs are relatively established.
Prediction markets introduce something different.
Traditional financial datasets generally describe asset prices, trading activity, and liquidity.
Prediction market data can also describe what market participants believe is likely to happen.
Consider a Federal Reserve interest rate decision.
A research system might examine:
- Currency movements before and after the announcement.
- Stock market reactions to the decision.
- Cryptocurrency volatility during the same period.
- Changes in prediction market probabilities leading up to the event.
Each dataset provides a different perspective.
By combining them, researchers can compare expectations with actual market reactions.
This is particularly useful for event-driven trading research, portfolio risk analysis, economic monitoring, and AI applications.
However, prediction market coverage requires more than displaying current probabilities. Historical activity, market identifiers, outcome data, and resolution status are important when researchers need to follow an event from its initial listing to its final outcome.
How API Bricks Connects Different Financial Markets
API Bricks approaches multi-asset infrastructure through two complementary products rather than treating every market as identical.
CoinAPI: Cryptocurrency Market Infrastructure
CoinAPI provides real-time and historical cryptocurrency market data across hundreds of exchanges.
Its infrastructure supports trades, quotes, OHLCV, order books, exchange rates, historical flat files, and trading connectivity.
For institutional applications and quantitative research, it also provides detailed market depth and specialized datasets such as Hyperliquid L4 order-level data.
FinFeedAPI: Stocks, Currencies, and Prediction Markets
FinFeedAPI expands the available datasets beyond cryptocurrencies.
Its products include:
- Stock Historical API: Historical equity data from 40+ exchanges, including L1, L2, and L3 datasets.
- Currencies API: Real-time and historical exchange rates.
- Prediction Markets API: Market information, outcomes, activity, order books, and historical data from venues including Polymarket, Kalshi, Myriad, and Manifold.
- SEC API: Corporate filings and structured financial disclosure data.
The important distinction is that these datasets serve different purposes. FinFeedAPI's stock offering is historical rather than real-time, while its currency and prediction market products have their own delivery capabilities.
Both CoinAPI and FinFeedAPI support developer integrations, including REST APIs and Model Context Protocol (MCP) interfaces for compatible AI applications.
This allows teams to select the datasets and access methods appropriate to their systems rather than assuming every financial market behaves the same way.
Bringing Financial Markets Together
The best financial data infrastructure provider depends on what you're building.
Massive and Twelve Data offer broad coverage across established financial asset classes. Symbolik also lists prediction market data alongside its other supported markets.
API Bricks is an option for teams that need cryptocurrency, historical stock, currency, and prediction market datasets within the same provider ecosystem.
Through CoinAPI and FinFeedAPI, developers can access specialized financial data services without maintaining an entirely separate vendor relationship for each market.
Want to see how these datasets work together in practice? Explore Market Replay Labs to see how stocks, cryptocurrencies, prediction markets, and SEC filings react to real-world events.
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Related Topics
- How Do Subscriptions, Committed Plans, Usage Credits, Auto-Recharge, and Overages Work Together?
- Building Better AI With CoinAPI and FinFeedAPI
- Why Most Financial Data APIs Break AI Agents
- REST, WebSocket, or Flat Files S3?
- How to Build a Multi-Asset Data Stack That Actually Scales
- Build vs Buy vs Custom Integration
