A $47k trade happened.
Prediction-market data analytics for agents and trading bots.
Who's behind a trade, whether it's worth reacting to, and where skilled capital is positioned. REST and MCP, no dashboard required.
A $47k trade happened on Bitcoin above $100k.
An S-grade wallet with a clean track record just sized up on Bitcoin above $100k, alongside other top traders, with no insider-pattern flags.
get_traderGrade (S–F), detected strategy, realized + unrealized P&L, win rate, and where they make money.
GET /api/v1/trader/{address}get_whale_tradesLarge trades with a 0–1 signal score. Filter by size, category, grade, or side. Cursor pagination.
GET /api/v1/whale-tradesexplore_marketsBrowse whale-active markets by category, platform, status, or sort. Grouped by event.
GET /api/v1/markets/exploreget_market_intelNet money-flow direction, top trader positions, whale trade counts, and buy/sell volume on any market.
GET /api/v1/market/{condition_id}/intelget_leaderboardRanked by grade, P&L, volume, or win rate. Filter by category or strategy.
GET /api/v1/leaderboardsearch_marketsKeyword search with status, category, platform, and cursor pagination.
GET /api/v1/markets/searchget_insider_radarCoordinated wallets, pre-resolution accumulation, and suspicious timing patterns. Only here.
GET /api/v1/insider-radarnpx -y @0xinsider/mcp initDetects Claude Code, Cursor, Codex, and Gemini CLI automatically. Anything else: copy the snippet from the docs.
"What are S-grade traders buying in crypto right now?"
"Break down swisstony’s strategy and recent P&L."
"Any insider activity on the Bitcoin $100k market?"
Every trade comes with context.
Dense signal, not another event firehose.
0–1 signal score
Every whale trade comes with a score that weighs trader grade, size, timing, and market context. Sort by it, filter by it, alert on it.
- grade-aware
- size-aware
- timing-aware
- market context
Trader grades
S–F from win rate, volume, edge consistency, and 40+ quant metrics. Recomputed daily.
- S–F scale
- 40+ metrics
- edge consistency
- daily refresh
Strategy detection
ML tags each trader as arbitrageur, momentum, market maker, or directional — with a confidence score.
- ML classification
- confidence
- arb / momentum
- market maker
Insider radar
Coordinated wallets, pre-resolution accumulation, and suspicious timing patterns. Not available anywhere else.
- wallet clusters
- timing flags
- pre-resolution
- pattern alerts
Safe cursor pagination
Composite timestamp + ID cursor so polling clients never skip rows during high activity.
- timestamp + ID
- no skipped rows
- batch-safe
- agent polling
Pay for depth only when you want it
Responses stay lean. Add `expand[]=strategy` (and friends) when you need heavier context, skip it when you don't.
- expand[]=strategy
- depth on demand
- low-latency default
- optional
CLI
Query 0xinsider from your terminal. Pipe results into scripts, automate exports and alerts.
WebSocket streaming
Lower-latency whale-trade stream for bots, monitoring, and live dashboards.
Webhooks
Push alerts for tracked traders, markets, or insider patterns — stop polling.
Ready to build? The docs have the rest.
Full schemas, examples, MCP setup, and integration patterns.