Build a trader research flow.
Connect a ranking to a profile, its positions and the questions that trader is backing.
On this page
1. Find a track record worth inspecting
Start with the global leaderboard. Filter by activity, position count or volume, then sort by P&L or a risk metric. Give users enough context to distinguish a long record from a small sample.
2. Build the profile around evidence
Use the address from a ranking to load the profile, open positions, closed positions and trade history. Request these independently so one missing panel does not hide the rest of the profile.
GET /users/:addressProfileIdentity fields, portfolio value, counts and reported performance.
GET /users/:address/pnl-historyTrack recordThe returned P&L history, with interval and fidelity parameters.
GET /users/:address/positionsExposureThe currently returned positions; paginate to load further records.
3. Follow positions into markets and events
Carry the market identifiers returned with a position or trade into your market views. Use the market slug for detailed analytics and event slugs for the event endpoint. Do not assume a condition ID, market ID and slug are interchangeable.
GET /users/:address/tradesActivityTransactions associated with the wallet.
GET /markets/:slug/analyticsMarket contextAnalytics for a market identified by its slug.
GET /events/:slugEvent contextAn event and its associated market details.
4. Add a wider view
Compare the trader with cohorts grouped by portfolio size or realized P&L. Funding endpoints provide observed source relationships for additional research. Shared funding is a relationship in the data, not proof that two wallets have the same owner.