Prediction Markets Are Growing. FinFeedAPI Now Covers 9 Major Platforms

Prediction markets are having a moment.

Not because they’re new.

And not because people suddenly discovered they can trade on elections, interest rates, crypto prices, or economic releases.

Something bigger is happening.

Prediction markets are becoming data infrastructure.

For traders, they offer another way to measure expectations.

For researchers, they create historical records of how beliefs changed before an event.

And for AI systems, they turn messy opinions about the future into something surprisingly useful:

a number.

Our sister company, FinFeedAPI, has been expanding its Prediction Markets API to capture more of this market.

The latest additions bring its coverage to nine prediction market integrations:

Polymarket, Kalshi, Myriad, Manifold, Hyperliquid Outcome Markets, Gemini Prediction Markets, Pascal, Crypto.com Prediction Markets, and ForecastEx.

And they’re far from identical.

9 Prediction Markets. 9 Different Perspectives.

It’s tempting to put every prediction market into the same bucket.

Yes or No.

Price becomes probability.

Event happens.

Contract resolves.

But that misses the interesting part.

Different prediction markets attract different users, operate under different market structures, and focus on different kinds of events.

Here’s what the current FinFeedAPI coverage looks like:

The differences matter.

Because a probability is only part of the story.

Who produced that probability matters too.

One Event Can Have More Than One Probability

Imagine there’s an upcoming Federal Reserve decision.

One prediction market prices the probability of a rate cut at 42%.

Another says 51%.

A third says 57%.

Which one is right?

That’s not necessarily the most interesting question.

A better question is:

Why do they disagree?

Different platforms can have different participants.

Different liquidity.

Different incentives.

Different geographic exposure.

Different market structures.

And different speeds at which information gets incorporated into prices.

That disagreement itself can become data.

You can study which market moves first.

Which market follows.

Which tends to be more accurate before certain types of events.

And whether the gap between two markets contains information that isn't visible from either probability alone.

This becomes much more powerful as the number of available venues grows.

Prediction Markets Add Context

This is where things get particularly interesting from the CoinAPI side.

Suppose Bitcoin suddenly drops 4%.

CoinAPI market data can help you analyze what happened around that move:

trades, quotes, order books, liquidity, volume, volatility, and derivatives activity.

But there may be another part of the story.

What was happening to expectations?

Imagine that at the same time:

A prediction market tracking a major crypto regulation outcome moves from 38% to 64%.

Now you have two signals.

Market data: Bitcoin is falling.

Prediction market data: The perceived probability of a regulatory event is rapidly increasing.

That gives you much more context than either dataset alone.

And the same idea applies outside crypto.

Interest-rate expectations can be compared with crypto prices.

Election probabilities with volatility.

Economic expectations with BTC and ETH.

Regulatory probabilities with exchange activity.

Macro forecasts with stablecoin flows.

The point isn't that prediction markets explain every crypto move.

They don't.

The point is that they provide another measurable signal about expectations that can be tested against traditional market data.

ForecastEx Makes the Macro Side Especially Interesting

The newest addition, ForecastEx, pushes this idea further.

ForecastEx is a CFTC-registered Designated Contract Market and Derivatives Clearing Organization operated within Interactive Brokers Group.

Its contracts focus heavily on events that already matter to financial markets.

Think:

Federal Reserve decisions.

Inflation.

GDP.

Employment.

Economic indicators.

Climate benchmarks.

These aren't abstract forecasting questions.

They're events that can move currencies, bonds, equities, derivatives — and crypto.

A ForecastEx contract therefore creates something interesting for quantitative researchers:

a market-generated probability attached directly to a macro event.

Instead of simply asking what Bitcoin did after a CPI release, you can study how expectations around that release changed beforehand.

Then compare those expectations with crypto market behavior.

That creates a much richer dataset.

Prediction Market Data Is Interesting for AI

There’s another reason prediction markets are getting attention.

AI models love structured inputs.

But much of the information about the future isn't structured.

It's buried in:

news articles,

social posts,

analyst notes,

earnings calls,

speeches,

reports,

and thousands of opinions.

An AI system can read all of that.

But it still has to decide what it means.

Prediction markets compress some of that uncertainty into a number.

31%.

54%.

82%.

And that number keeps changing as new information arrives.

For machine learning models and AI agents, those probability histories can become features just like price, volume, volatility, funding rates, or order-book imbalance.

The model can then ask:

• Does a sudden change in an election probability affect crypto volatility?
• Do changing Fed expectations lead BTC?
• Does ETH respond differently?
• Do prediction markets react before crypto markets or after them?
• Which prediction venue tends to incorporate information first?

Now prediction market data isn't just something you display on a dashboard.

It becomes another dataset you can test.

One API Instead of Nine Integrations

There is one obvious problem with all of this.

Nine prediction markets also means nine different data sources.

Different identifiers.

Different schemas.

Different market structures.

Different metadata.

Different ways of representing outcomes.

Maintaining every integration separately gets complicated quickly.

That's what the FinFeedAPI Prediction Markets API is designed to solve.

Instead of building infrastructure around every venue individually, developers can work with normalized prediction market data through a common interface.

The API provides access to market listings and metadata, market activity, OHLCV time series, and order-book data, with interfaces including REST, JSON-RPC, and MCP.

That last one is particularly relevant for AI.

Through MCP, AI agents and compatible tools can query prediction market exchanges, markets, activity, order books, and OHLCV data directly.

Two Types of Market Data. One Bigger Picture.

CoinAPI and FinFeedAPI look at markets from different angles.

CoinAPI captures markets trading financial assets.

Bitcoin.

Ethereum.

Spot markets.

Futures.

Options.

Order books.

Trades.

Quotes.

FinFeedAPI Prediction Markets captures markets trading expectations.

Elections.

Economic releases.

Interest rates.

Crypto events.

Policy decisions.

And other outcomes that haven't happened yet.

Put those datasets next to each other and you can start studying something much more interesting:

the relationship between what markets expect and what asset prices actually do.

Prediction markets won't replace traditional market data.

That's not the point.

They add another layer.

And with FinFeedAPI now covering Polymarket, Kalshi, Myriad, Manifold, Hyperliquid Outcome Markets, Gemini Prediction Markets, Pascal, Crypto.com Prediction Markets, and ForecastEx, that layer just became considerably broader.

The future is uncertain.

Now we have more data for measuring exactly how uncertain the market thinks it is.

Explore Prediction Market Data

Crypto market data tells you what markets are doing.

Prediction market data adds another layer: what people expect to happen next.

Explore prediction market data across 9 platforms through our sister company, FinFeedAPI.

→ Explore the Prediction Markets API

Want to combine prediction market signals with crypto market data?

→ Explore CoinAPI

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• Prediction Markets API Expends with Gemini, Pascal, and Crypto.com
• ForecastEx Prediction Markets Data Is Now Live on FinFeedAPI