Five tools cover the full intelligence loop: discover markets, assess liquidity, detect actionable signals, and surface composite strategies across all Syenite data sources. Prediction data comes from Polymarket; strategy search combines yield, carry, lending, prediction signals, and gas estimates.
Top markets by volume — a quick read on what the crowd is pricing.
Parameters:
limit (number, 1–25, default 10): how many markets to returnResponse: event title, slug, total volume (USDC), liquidity, and per-outcome probabilities, best bid/ask, spread. Use this as a starting point to find interesting markets, then drill into specific outcomes with prediction.book.
Search markets by keyword — "Bitcoin", "Fed rate", "election", or any topic.
Parameters:
query (string): search termlimit (number, 1–25, default 10): max resultsSame response shape as prediction.trending. Combine with signals to find tradeable opportunities in a specific domain.
Order book depth for a single outcome token. Use to assess execution cost, slippage, and available depth before trading.
Parameters:
tokenId (string): outcome token ID from a trending or search resultResponse: bids, asks, spread, mid-price, cumulative depth at various price levels.
The detection layer. Scans Polymarket for actionable opportunities: wide spreads (market-making), extreme probabilities (mean-reversion), volume spikes (momentum), deep liquidity pools, and mispriced outcomes.
Parameters:
minStrength (number, 0–100, default 0): minimum signal strength to includetypes (array, optional): filter to specific signal types — "wide_spread", "extreme_probability", "high_volume", "deep_liquidity", "mispriced"limit (number, 1–50, default 20): max signals to returnEach signal includes the market context, signal type, strength score, and a suggested action. Agents can use this for autonomous strategy discovery — scan for signals, filter by type, then execute via the Polymarket CLOB or hedge on-chain.
prediction.signals with types: ["wide_spread"], minStrength: 60. The agent identifies markets where market-making is profitable, checks depth via prediction.book, and executes.
The intelligence layer that ties all Syenite data sources together. Tell it what asset you have and your risk tolerance; it scans yield opportunities, carry trades, lending leverage, prediction signals, and gas costs to return ranked strategies with expected returns and execution steps.
Parameters:
asset (string): what you have — "ETH", "WETH", "wBTC", "USDC", "USDT", etc.amount (number, default 10000): USD value to deployriskTolerance ("low" | "medium" | "high", default "high"): low = yield only, medium = carry + arb, high = leverage + predictionchain ("ethereum" | "arbitrum" | "base" | "all", default "all"): chain preferenceincludePrediction (boolean, default true): include prediction market signals in the strategy searchResponse: ranked strategies, each with category (yield, carry, leverage, prediction, arbitrage), expected return, risk level, confidence, and the specific Syenite tool calls to execute. The agent can chain from find.strategy directly into lending.supply, swap.quote, or any other execution tool.
find.strategy with asset: "USDC", amount: 50000, riskTolerance: "medium", chain: "ethereum". Returns a ranked list: best yield vault, top carry trade, and any prediction signal plays — with exact next steps.
1. prediction.trending or prediction.search to discover markets. 2. prediction.book on interesting outcomes for depth. 3. prediction.signals to scan for actionable opportunities. 4. find.strategy to get a holistic view combining prediction signals with yield, carry, and gas data. 5. Execute with lending.supply, swap.quote, or external trading tools.
Yield opportunities. Lending rates and risk. Lending execution. Position alerts and carry. Full tool list.