Wicked API - Agent First API Services
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| WICKEDAPI_API_KEY | No | Free, rate-limited access if you have a partner key. | |
| WICKEDAPI_BASE_URL | No | Override the API base URL. | https://api.wickedapi.com |
| WICKEDAPI_PAYER_PRIVATE_KEY | No | Base-mainnet wallet private key. If set, every call auto-pays the x402 challenge in USDC. |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| kalshi_probabilityA | Kalshi prediction-market probabilities — Kalshi prediction-market probabilities. Query by category (returns the most active open markets) or a specific market ticker. Example: |
| kalshi_marketC | Single Kalshi market depth: orderbook (yes/no levels) + recent trades for a specific ticker. — Single Kalshi market depth: orderbook (yes/no levels) + recent trades for a specific ticker. Example: |
| funding_oiA | Aggregated perpetual-futures funding rate & open interest from Binance + Bybit, with 7-day average funding, 24h OI change, and a long/short bias signal. — Aggregated perpetual-futures funding rate & open interest from Binance + Bybit, with 7-day average funding, 24h OI change, and a long/short bias signal. Example: |
| long_short_ratioC | Binance long/short ratios: global account, top-trader account, top-trader position, and taker buy/sell — Binance long/short ratios: global account, top-trader account, top-trader position, and taker buy/sell. Companion to funding-oi. Example: |
| orderbookB | Top-of-book depth + spread (bps) from Binance, Bybit, or Hyperliquid. — Top-of-book depth + spread (bps) from Binance, Bybit, or Hyperliquid. Example: |
| basisB | Spot-vs-perp basis (premium %) with funding-implied annualized carry — Spot-vs-perp basis (premium %) with funding-implied annualized carry. Spot from Coinbase; perp marks from Binance + Bybit. Example: |
| hyperliquidC | Hyperliquid perpetual context: funding (hourly), open interest, mark/oracle/mid price, premium, 24h volume — Hyperliquid perpetual context: funding (hourly), open interest, mark/oracle/mid price, premium, 24h volume. Not geo-blocked. Example: |
| volatilityA | Deribit volatility: DVOL implied-vol index (30d forward) + latest realized volatility, for BTC or ETH. — Deribit volatility: DVOL implied-vol index (30d forward) + latest realized volatility, for BTC or ETH. Example: |
| sentimentA | Crypto Fear & Greed Index (alternative.me), current reading + optional history. — Crypto Fear & Greed Index (alternative.me), current reading + optional history. Example: |
| defi_tvlC | DefiLlama data: TVL by chain, stablecoin circulating supply, or yield pools. — DefiLlama data: TVL by chain, stablecoin circulating supply, or yield pools. Example: |
| priceA | Current spot price for crypto (Coinbase) or US equities/ETFs (Alpaca SIP), via the shared routing layer. — Current spot price for crypto (Coinbase) or US equities/ETFs (Alpaca SIP), via the shared routing layer. Example: |
| ohlcvB | OHLCV candles (oldest-first) for crypto or stocks — OHLCV candles (oldest-first) for crypto or stocks. Routes to Alpaca SIP / Alpaca-crypto / Coinbase. Example: |
| atrB | Average True Range (Wilder's) + volatility-regime classification (low/normal/high/extreme by historical percentile) — Average True Range (Wilder's) + volatility-regime classification (low/normal/high/extreme by historical percentile). Crypto or stocks. Example: |
| ratesC | US Treasury yield curve (1M–30Y) + recession-indicator spreads (10y-2y, 10y-3m), from FRED. — US Treasury yield curve (1M–30Y) + recession-indicator spreads (10y-2y, 10y-3m), from FRED. Example: |
| market_clockB | US equities market clock (is_open, next_open/close) + upcoming sessions, via Alpaca — US equities market clock (is_open, next_open/close) + upcoming sessions, via Alpaca. Crypto endpoints are 24/7 and unaffected. Example: |
| market_overviewC | CoinGecko global crypto stats (total market cap, 24h volume, BTC/ETH dominance) or top coins by market cap. — CoinGecko global crypto stats (total market cap, 24h volume, BTC/ETH dominance) or top coins by market cap. Example: |
| gasA | Ethereum gas oracle (safe/propose/fast gas prices + base fee, in gwei), via Etherscan. — Ethereum gas oracle (safe/propose/fast gas prices + base fee, in gwei), via Etherscan. Example: |
| fvgB | Fair Value Gap zones (standard ICT/LuxAlgo) with CE (50%), gap size, age, fill status, distance from price — Fair Value Gap zones (standard ICT/LuxAlgo) with CE (50%), gap size, age, fill status, distance from price. Standard timeframes match TradingView candles. Crypto or stocks. Example: |
| liquidity_levelsC | ICT liquidity levels: buy-side liquidity (above swing highs) & sell-side (below swing lows), sweep/taken status, relative-equal pools, and nearest untaken targets — ICT liquidity levels: buy-side liquidity (above swing highs) & sell-side (below swing lows), sweep/taken status, relative-equal pools, and nearest untaken targets. Crypto or stocks. Example: |
| macro_calendarA | Upcoming US macro events (FOMC rate decisions, CPI, jobs report) with verified Fed/BLS dates, days-until, and Kalshi rate-decision odds (cut/hold/hike) for FOMC meetings. — Upcoming US macro events (FOMC rate decisions, CPI, jobs report) with verified Fed/BLS dates, days-until, and Kalshi rate-decision odds (cut/hold/hike) for FOMC meetings. Example: |
| earnings_calendarA | US equity earnings announcement calendar: report date, before/after-market timing, analyst EPS estimate + count, market cap, and prior-year actual EPS — US equity earnings announcement calendar: report date, before/after-market timing, analyst EPS estimate + count, market cap, and prior-year actual EPS. Sourced live from Nasdaq's public calendar. Example: |
| momentum_scoreC | Multi-asset momentum verdict (bias, confidence, thesis, entry/invalidation/targets, signal readings) from the oracle.py pipeline, run on a separate Python service — Multi-asset momentum verdict (bias, confidence, thesis, entry/invalidation/targets, signal readings) from the oracle.py pipeline, run on a separate Python service. Scoped to 10 assets. Example: |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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