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. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| 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 | |
TDQS
Scored across 22 tools
Each tool targets a distinct financial data type or source (e.g., ATR, FVG, basis, earnings calendar, Kalshi probability vs. market depth). No two tools serve the same purpose, and descriptions clearly delineate their outputs.
All tool names use lowercase snake_case with a consistent pattern of single nouns or verb_noun phrases (e.g., 'price', 'earnings_calendar', 'long_short_ratio'). No mixed naming conventions.
22 tools is slightly above the ideal range, but the wide scope of financial data (crypto, equities, macro, derivatives) justifies the count. Each tool adds distinct value without excessive redundancy.
The set covers a broad range of financial data (technical, fundamental, macro, sentiment, prediction markets) but lacks fundamental stock data (e.g., financials, dividends), forex, or commodities, leaving notable gaps for a comprehensive financial API.