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Insights & guides

Prediction markets, data infrastructure, and building with our API.

GuideSeptember 14, 2026·9 min read

Kalshi API: A Complete Developer Guide

How Kalshi's API works in practice — the ticker hierarchy, RSA request signing, and the 2026 field migrations that are still breaking integrations months later.

GuideSeptember 10, 2026·8 min read

Dome API Alternative: Migrating Prediction Market Data After the Shutdown

Dome's APIs went dark in April 2026 after Polymarket acquired the company. How to replace normalized, cross-platform market data — and where a unified API genuinely can't help.

GuideAugust 17, 2026·9 min read

Polymarket API: A Complete Developer Guide

How Polymarket's API actually works — the Gamma and CLOB surfaces, the identifier chain that trips everyone up, and the schema quirks worth knowing before you write any code.

AnalysisJuly 13, 2026·8 min read

Polymarket vs Kalshi vs Novig: Which Platform Has the Best Odds?

A head-to-head look at the three major prediction market platforms — how their markets compare, where prices diverge, and what that means for traders and developers.

RoundupUpdated August 17, 2026·7 min read

The Best Prediction Market Data APIs in 2027

A practical look at the prediction market data APIs available heading into 2027 — direct platform APIs, unified providers, and how to pick the right one for your project.

GuideJuly 11, 2026·6 min read

5 Things You Can Build with a Prediction Market API

From arbitrage scanners to ML training sets, here are five concrete projects you can build once you have clean, normalized prediction market data.

ComparisonJuly 10, 2026·7 min read

Prediction Market Data Providers: A Complete Comparison

Comparing the main prediction market data providers in 2026 — what they cover, how their APIs work, and what to look for when choosing one for your project.

GuideJanuary 15, 2025·6 min read

Introduction to Prediction Market APIs: What Developers Need to Know

Prediction markets are growing fast. Here's a practical guide to understanding the data landscape, what makes a good API, and how to start building with prediction market data today.