Oddpool

Oddpool is an institutional-grade data platform for prediction markets, offering unified access to market data across Kalshi and Polymarket through a single REST API and WebSocket feed. It describes itself as "the search engine for prediction markets," normalizing hundreds of thousands of markets into a common model so quant funds, trading desks, and prosumer traders can search markets and events, pull tick-level historical orderbooks and OHLCV bars, track whale trades, detect cross-venue arbitrage, and stream real-time cross-venue probability distributions, orderbooks, and trades. Data is addressed by what (event and outcome keys) rather than by venue-specific tickers. A separate enterprise Reference Data API provides canonical cross-venue identifiers, fungibility classification, and a Wikidata cross-walk for institutional clients.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

How we profile Oddpool

Each block below is one kind of artifact we hold for Oddpool. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 2

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Oddpool API

REST API for prediction market data across Kalshi and Polymarket: full-text search over markets, events, and series; historical orderbook snapshots, top-of-book timeseries, trad...

Oddpool WebSocket Feeds

Single-connection WebSocket streaming real-time, normalized cross-venue prediction market data (dist, book, trade, and snapshot channels) for macro economic events and crypto (B...

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

oddpool-mcp.yml

MCP SERVER

Event Specifications 1

Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Oddpool WebSocket Feeds

Single-connection WebSocket streaming real-time, normalized cross-venue prediction market data from Kalshi and Polymarket. Data is addressed by what (event_key / outcome) not wh...

ASYNCAPI

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Oddpool Authentication

apiKey · 2 schemes

SECURITY

Oddpool Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for Oddpool — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

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