Unified Prediction Market API (2026): One Schema for 15+ Venues

The Short Answer
A unified prediction market API gives you one request shape, one schema and one key for many venues, so a Polymarket market and a Kalshi market come back as the same kind of record. Instead of learning each venue's hosts, field names, price formats and auth, you call one endpoint with the venue as a parameter. The Predictefy API does this for 15+ venues, including Polymarket, Kalshi, Polymarket US, Gemini, Limitless, Opinion, Hyperliquid, SX Bet, Myriad and Novig, behind GET /api/{venue}/{verb} on https://data.predictefy.com.
Key Takeaways
- Every venue API names, formats and paginates data differently, which is the work a unified API removes.
- Predictefy serves 15+ venues through one route pattern: the venue goes in the path, the verb stays the same.
- Every market comes back in one envelope with the same fields, including
asOfandprovenanceso you know how fresh the data is. - The same calls work from REST, the TypeScript SDK
@predictefy/sdk, the Python SDKpredictefyand the MCP server for AI agents. - A unified schema also makes cross-venue work possible: matched markets and price comparison across venues.
What is a unified prediction market API?
It is one API that sits in front of many prediction market venues and returns their data in a single, consistent format. You ask for markets, an order book or price history, name the venue, and get the same record shape whichever venue answered.
Without one, every venue is its own integration. In our checks on 16 October 2026, the most active Polymarket market and an open Kalshi market came back looking nothing alike:
| What you need | Polymarket (Gamma API) | Kalshi (Trade API v2) |
|---|---|---|
| Market name | question | title, keyed by ticker |
| Prices | outcomePrices, a JSON-encoded string such as "[\"0.9995\", \"0.0005\"]" | yes_bid_dollars, yes_ask_dollars, no_bid_dollars as decimal strings |
| Outcomes | outcomes, another JSON-encoded string | Yes and No implied by the field names |
| Close time | endDate | close_time |
| 24-hour volume | volume24hr, a number | volume_24h_fp, a string |
Multiply that by every venue you want, then add separate auth schemes, pagination styles, rate limits and order book formats. That is the cost a unified API absorbs once, for everyone.
What does normalization actually cover?
Good normalization is more than renaming fields. In a unified prediction market API it should cover:
- Identifiers. One market ID and one outcome ID format, so books, trades and candles are always keyed the same way.
- Prices. Every outcome price as a probability between 0 and 1, whatever the venue publishes natively.
- Records. The same fields on every market: title, outcomes with prices, 24-hour volume, liquidity and close date.
- Pagination. One set of list parameters (
limit,offset,pageand a cursor) instead of each venue's own. - Freshness and source. A timestamp and a provenance label on each record, so you can tell live data from stored data.
- Capabilities. A per-market statement of what you can do with it, such as read, trade, depth and history.
Predictefy's documentation puts it as "one normalized schema across every supported venue". It also draws a careful line between the two kinds of empty value: null means a value applies but the venue does not publish it, while a missing field means it does not apply to that record at all.
How does Predictefy's unified API work?
Reads use one route pattern on one host:
GET https://data.predictefy.com/api/{venue}/{verb}
Authorization: Bearer pk_live_YOUR_KEY
The venue is a path segment such as polymarket, kalshi or gemini, and the verb is the same everywhere: fetchMarkets, fetchMarket, fetchEvents, fetchSeries, fetchOrderBook, fetchTrades and fetchOHLCV, among others. Switching venues means changing one word in the URL.
Every response uses the same envelope, { success, data, meta, page }. A market inside data carries marketId, title, outcomes (each with its own outcomeId, label and price), volume24h, liquidity, asOf, provenance and capabilities.
A special venue called router searches across all served venues at once, which is how you look for the same topic everywhere in one call.
What does a first call look like?
With a free key, this lists the most active Polymarket markets:
curl -s "https://data.predictefy.com/api/polymarket/fetchMarkets?limit=3&sort=volume" \
-H "Authorization: Bearer pk_live_YOUR_KEY"
The same thing from TypeScript, plus a search across every venue:
import Predictefy from '@predictefy/sdk';
const client = new Predictefy({ apiKey: process.env.PREDICTEFY_API_KEY });
// One venue
const markets = await client.polymarket.fetchMarkets({ limit: 5, query: 'fed' });
for (const m of markets) {
console.log(m.title, m.outcomes.map((o) => `${o.label} ${o.price}`).join(' / '));
}
// Every venue at once
const all = await client.router.fetchMarkets({ query: 'election', status: 'active', limit: 10 });
console.log(all.length, 'markets across venues');
This type-checks against @predictefy/sdk 1.0.0-beta.11, the current release as of October 2026. Change client.polymarket to client.kalshi or any other venue and the code below it does not change, because the records have the same shape. The Python SDK mirrors it in snake case: client.polymarket.fetch_markets({"limit": 5, "query": "fed"}).
What can you build once the schema is unified?
The obvious win is less code. The bigger one is that cross-venue work becomes possible at all:
- Matched markets. The same event listed on Polymarket and Kalshi, grouped into one cluster so you can compare them side by side.
- Price comparison. One question, every venue's price, in one response.
- Screeners and dashboards that rank markets from every venue by volume, liquidity or price move.
- Backtests that run the same strategy on several venues' history.
- AI agents that read any venue through one tool set, via the Predictefy MCP server.
For the cross-venue side specifically, see how to find cross-platform opportunities between Kalshi and Polymarket.
Unified API or each venue's own API?
| Venue APIs directly | Unified API (Predictefy) | |
|---|---|---|
| Integrations to build | One per venue | One |
| Schema | Different on every venue | One schema across 15+ venues |
| Keys and auth | One scheme per venue | One bearer key |
| Cross-venue matching | Build it yourself | Built in |
| SDKs | Per venue | TypeScript, Python, MCP and a CLI |
If you only ever need one venue, its own API is a fine place to start, and our Kalshi API vs Polymarket API comparison covers the two biggest. Once a second venue enters the picture, a unified API usually pays for itself in the code you never write.
Frequently Asked Questions
What is a unified prediction market API?
It is a single API that returns data from many prediction market venues in one consistent format, with one key and one request shape. You change the venue name, not your code.
Which venues does Predictefy's unified API cover?
15+ venues as of October 2026, including Polymarket, Kalshi, Polymarket US, Gemini, Limitless, Opinion, Hyperliquid, SX Bet, Myriad, Predict.fun and Novig.
Is there a free unified prediction market API?
Predictefy's Free plan is $0 with 25,000 credits a month, 60 requests a minute and one key, with no card needed. A market lookup costs 1 credit.
Do I need a different SDK for each venue?
No. With Predictefy, one TypeScript or Python client reads every served venue, for example client.polymarket.fetchMarkets() and client.kalshi.fetchMarkets().
How do I know how fresh unified data is?
Each Predictefy market record carries an asOf timestamp and a provenance label, so you can see when the data was read and where it came from.