
Prediction Market APIs: A Read-Only Research Workflow
Build a research dataset you can explain: preserve contract rules, distinguish prices, track timestamps, and make missing data visible.
Read the articleThe Signal Journal / Category
Good prediction market research begins with dependable data. This collection examines a read-only workflow: discovering markets, preserving identifiers, recording timestamps, checking price units, and keeping a record of the rules that give a number its meaning.
The emphasis is on questions a developer should resolve before building a dashboard or analysis pipeline. An API response may be syntactically valid while containing stale, incomplete, or misunderstood information. Use the guide alongside the API topic page to plan checks, document assumptions, and separate data collection from any account or execution capability. The examples describe research architecture, with current endpoint details left to the linked official documentation.

Build a research dataset you can explain: preserve contract rules, distinguish prices, track timestamps, and make missing data visible.
Read the article