"Current trading prices and market information" matching MCP tools:

• stock_quote

  Inferventis — Financial Data, News & Web MCP

  Retrieves real-time stock price quotes and company information for any publicly traded company via the Finnhub API. Returns current price, intraday high and low, percentage change from previous close, previous close price, sector, and exchange. Use stock_quote when an agent needs to look up a stock price, check intraday market performance, retrieve company sector data, monitor equity portfolio values, or answer any question about the current trading price of a publicly listed company. Prefer stock_quote over stock_price_lite when the agent needs price change, intraday range, company name, or sector — stock_price_lite returns only the raw current price with no additional context. Do not use for cryptocurrency prices — use crypto_price (CoinGecko, 10,000+ assets) or crypto_price_lite for a lightweight variant. Do not use for fiat currency conversion — use currency_convert or currency_fx_lite. Requires a Finnhub API key to be configured on the server.

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• stock_quote

  Inferventis MCP Server

  Retrieves real-time stock price quotes and company information for any publicly traded company via the Finnhub API. Returns current price, intraday high and low, percentage change from previous close, previous close price, sector, and exchange. Use stock_quote when an agent needs to look up a stock price, check intraday market performance, retrieve company sector data, monitor equity portfolio values, or answer any question about the current trading price of a publicly listed company. Prefer stock_quote over stock_price_lite when the agent needs price change, intraday range, company name, or sector — stock_price_lite returns only the raw current price with no additional context. Do not use for cryptocurrency prices — use crypto_price (CoinGecko, 10,000+ assets) or crypto_price_lite for a lightweight variant. Do not use for fiat currency conversion — use currency_convert or currency_fx_lite. Requires a Finnhub API key to be configured on the server.

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• get_energy_breakdown

  supply-chain-intelligence

  Get comprehensive US energy market status for supply chain cost analysis. Returns crude oil prices (WTI and Brent), natural gas spot prices (Henry Hub), retail fuel prices (gasoline, diesel), natural gas storage versus capacity, refinery utilization rates, petroleum stock levels with week-over-week changes, and import/export flows. This is the disaggregated view behind the GDI Energy pillar — instead of a single risk number, you get the full picture of energy costs affecting manufacturing, freight, and logistics. Used by supply chain cost analysts, transportation managers, and energy procurement teams.

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• stock_price_lite

  Inferventis MCP Server

  Retrieves the current trading price for a publicly listed stock by ticker symbol. Returns the current price as a single numeric value. This is a lightweight variant of stock_quote — it omits intraday high/low, percentage change, previous close, company name, sector, and exchange metadata. Use stock_price_lite when only the raw current price is needed for a quick lookup or calculation. Prefer stock_quote when the agent also needs price change, intraday range, company information, or a fully structured response suitable for portfolio reporting. Does not support cryptocurrency prices — use crypto_price for full market data (price, volume, market cap) or crypto_price_lite for a lightweight spot price lookup.

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• crypto_price_lite

  Inferventis MCP Server

  Retrieves the current spot price and 24-hour change for any cryptocurrency using the CoinGecko public API. Returns price, percentage change, and a timestamp. This is a lightweight variant of crypto_price that omits extended market data (market cap, volume) — use it when only the raw price and 24h direction are needed. Prefer crypto_price when the agent also needs market capitalisation, trading volume, or richer structured output. Use crypto_fx_rates when converting a specific amount between a cryptocurrency and fiat (e.g. 'convert 0.5 BTC to USD') rather than looking up a spot price. Supports all major coins including BTC, ETH, SOL, XRP, ADA, DOGE, and 10,000+ CoinGecko-listed assets. Accepts ticker symbols (BTC, ETH) or full names (bitcoin, ethereum). Target currency defaults to USD but accepts any ISO 4217 code.

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• stock_quote

  Inferventis MCP Server

  Retrieves real-time stock price quotes and company information for any publicly traded company via the Finnhub API. Returns current price, intraday high and low, percentage change from previous close, previous close price, sector, and exchange. Use stock_quote when an agent needs to look up a stock price, check intraday market performance, retrieve company sector data, monitor equity portfolio values, or answer any question about the current trading price of a publicly listed company. Prefer stock_quote over stock_price_lite when the agent needs price change, intraday range, company name, or sector — stock_price_lite returns only the raw current price with no additional context. Do not use for cryptocurrency prices — use crypto_price (CoinGecko, 10,000+ assets) or crypto_price_lite for a lightweight variant. Do not use for fiat currency conversion — use currency_convert or currency_fx_lite. Requires a Finnhub API key to be configured on the server.

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• get_daily_brief

  OneQAZ Trading Intelligence

  Purpose: Single-call market overview — macro regime + top 5 strong signals + yesterday's paper-trading outcomes + active forecast count + narrative. Use this as the first call when answering "how is the market today?". When to call: morning briefings, "today/yesterday how was the market?" queries. Prerequisites: none. Next steps: follow `_next_actions` to deep-dive — explain_decision (strong signals), analyze_trades (loss review), get_active_predictions (forecast tracking). Caveats: 24-hour window. Paper-trading data only (NOT real money). Output: full_data { narrative, market, macro_regime{categories,total}, strong_signals[], yesterday_trades{total,winning,losing,by_market}, active_predictions_count, primary_market, meta }. Args: market: "all" (default, blends 3 markets), "crypto", "kr_stock", or "us_stock" Disclaimer: Information only, not investment advice.

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• get_positions

  OneQAZ Trading Intelligence

  Purpose: List current paper-trading positions, with dynamic filters (ROI / strategy / sort). When to call: position dashboards, drawdown checks, exposure audits. Prerequisites: market://{market_id}/status recommended for context. Next steps: get_position_detail, get_strategy_distribution. Caveats: paper-trading data only. Positions are not real money holdings. Disclaimer: Information only, not investment advice. Args: market_id: Market ID (crypto, kr_stock, us_stock) min_roi: Min ROI % filter (e.g., -5.0) max_roi: Max ROI % filter (e.g., 10.0) strategy: Strategy filter (e.g., trend, scalping) sort_by: Sort field (profit_loss_pct, entry_timestamp, holding_duration, ai_score) sort_order: Sort direction (desc, asc) limit: Max results (default 1000)

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• crypto_price_lite

  Inferventis MCP Server

  Retrieves the current spot price and 24-hour change for any cryptocurrency using the CoinGecko public API. Returns price, percentage change, and a timestamp. This is a lightweight variant of crypto_price that omits extended market data (market cap, volume) — use it when only the raw price and 24h direction are needed. Prefer crypto_price when the agent also needs market capitalisation, trading volume, or richer structured output. Use crypto_fx_rates when converting a specific amount between a cryptocurrency and fiat (e.g. 'convert 0.5 BTC to USD') rather than looking up a spot price. Supports all major coins including BTC, ETH, SOL, XRP, ADA, DOGE, and 10,000+ CoinGecko-listed assets. Accepts ticker symbols (BTC, ETH) or full names (bitcoin, ethereum). Target currency defaults to USD but accepts any ISO 4217 code.

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• stock_price_lite

  Inferventis MCP Server

  Retrieves the current trading price for a publicly listed stock by ticker symbol. Returns the current price as a single numeric value. This is a lightweight variant of stock_quote — it omits intraday high/low, percentage change, previous close, company name, sector, and exchange metadata. Use stock_price_lite when only the raw current price is needed for a quick lookup or calculation. Prefer stock_quote when the agent also needs price change, intraday range, company information, or a fully structured response suitable for portfolio reporting. Does not support cryptocurrency prices — use crypto_price for full market data (price, volume, market cap) or crypto_price_lite for a lightweight spot price lookup.

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• token_quant_scores

  Nansen

  Get Nansen Score Indicators for a token - quantitative risk and reward signals. Use this tool when assessing a token's risk/reward profile, evaluating buy/sell decisions, or when the user needs quantitative data to make trading decisions. Returns: Token risk/reward indicators as markdown with interpretation guidance. Token info: - **Market Cap**: Current market cap in USD - **Market Cap Group**: largecap (>$1B), midcap ($100M-$1B), or lowcap (<$100M) - **Is Stablecoin**: Whether token is a stablecoin (some indicators don't apply to stablecoins) Fields returned per indicator: - **Score**: Signal classification (bullish/neutral/bearish for reward; low/medium/high for risk) - **Signal**: Raw numeric value of the indicator - **Percentile**: Rank vs same market cap group (0-100%) - **Last Trigger**: Date when signal was last calculated Indicator types: - **Reward Indicators**: price-momentum, funding-rate, chain-fees, chain-tvl, protocol-fees, trading-range - **Risk Indicators**: btc-reflexivity, liquidity-risk, token-supply-inflation, concentration-risk, cex-flows Notes: - Not all indicators available for every token/chain combination - Percentile compares against same market cap group (largecap >$1B, midcap $100M-$1B, lowcap <$100M)

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• prediction_market_orderbook

  Nansen

  Live orderbook for a Polymarket market. **When to use:** - Bid/ask depth, liquidity, and yes-share / no-share order structure. **Key fields:** - `Order Size` is share quantity, not USD. Do not describe share size as dollar depth unless you calculate `shares × price`. **Yes/No price relationship:** - Yes and No are complementary (Yes + No ≈ $1). A No bid at price $X means willingness to buy No when Yes is near $(1−X). - A cluster of No bids at low prices (e.g. $0.20) is resistance for Yes rallying to ~$0.80, NOT a support floor for the current Yes price. - When comparing OHLCV odds against orderbook depth, convert No-side prices to Yes-equivalent (1 − No price) before drawing divergence conclusions. **Pitfalls:** - Do not treat raw no-share prices as bearish yes-share odds — prefer `prediction_market_ohlcv` for current odds / implied probability. **Prerequisites:** If `marketId` is unknown, call `prediction_market_lookup` first.

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• get_crypto_price

  web3-signals

  What is the current price of Bitcoin, Ethereum, or any major crypto? Returns the latest USD price, 24-hour price change percentage, trading volume, and market cap. Updated every 15 minutes from CoinGecko and Binance. Supports 20 assets: BTC, ETH, SOL, BNB, XRP, ADA, AVAX, DOT, MATIC, LINK, UNI, ATOM, LTC, FIL, NEAR, APT, ARB, OP, INJ, SUI. Example: get_crypto_price('BTC')

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• stock_price_lite

  Inferventis — Financial Data, News & Web MCP

  Retrieves the current trading price for a publicly listed stock by ticker symbol. Returns the current price as a single numeric value. This is a lightweight variant of stock_quote — it omits intraday high/low, percentage change, previous close, company name, sector, and exchange metadata. Use stock_price_lite when only the raw current price is needed for a quick lookup or calculation. Prefer stock_quote when the agent also needs price change, intraday range, company information, or a fully structured response suitable for portfolio reporting. Does not support cryptocurrency prices — use crypto_price for full market data (price, volume, market cap) or crypto_price_lite for a lightweight spot price lookup.

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• get_market_index

  cyclesite-mcp-server

  Current UK used-bike market prices by category, from Cyclesite's nightly index. Returns median + range per category (road, mtb, gravel, e-bike, etc.). Example: 'how does the UK used-bike market look right now?'. Refreshed nightly from completed sales.

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• prediction_market_ohlcv

  Nansen

  Historical odds/volume candles for a Polymarket market. **When to use:** - Current odds / implied probability, price history, and recent probability changes on a specific market. **Key fields:** - `Close` is the share price for the displayed outcome side. - In binary markets, Yes and No shares are complementary and sum to about $1. **Pitfalls:** - Each response is for one exact `marketId` — do not mix dates or prices across different markets. - If no candles are returned for the requested window, say so directly — do not estimate. **Prerequisites:** If `marketId` is unknown, call `prediction_market_lookup` first.

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• token_info

  Nansen

  Get token information — spot on-chain details or Hyperliquid perpetual futures stats. On-chain tokens mode (default): Returns token details (name, symbol, market cap, FDV, supply, deployment date, socials) and spot trading metrics (volume, buys/sells, buyers/sellers, holders, liquidity). Perps mode: Returns Hyperliquid perp stats — mark price, funding, open interest, buy/sell pressure, trader participation. Returns: Token information as markdown. On-chain tokens fields: - **Market Cap / FDV**: Market capitalization and fully diluted valuation - **Circulating / Total Supply**: Token supply metrics - **Deployed**: When the token was deployed - **Volume (Total / Buy / Sell)**: Trading volume in USD - **Buys / Sells**: Number of buy/sell transactions - **Unique Buyers / Sellers**: Distinct trading addresses - **Total Holders**: Number of token holders - **Liquidity**: Available liquidity in USD Perps fields: - **Mark Price**: Current perp mark price - **Price Change**: Change vs previous price - **Funding Rate (hourly/annualized)**: Current funding rate - **Open Interest**: Total current open interest in USD - **Volume (Total / Buy / Sell)**: Perp volume in USD - **Net Flow (Buy - Sell)**: Buy/sell pressure in USD - **Traders**: Number of traders Example: On-chain tokens (default mode): ``` { "mode": "onchain_tokens", "chain": "ethereum", "tokenAddress": "0xa0b86a33e6b6c4b3add000b44b3a1234567890ab", "timeframe": "1d" } ``` Hyperliquid perps: ``` { "mode": "perps", "tokenAddress": "BTC", "timeframe": "7d" } ``` Notes: - On-chain tokens mode uses contract addresses - Perps mode uses token symbols (e.g. BTC, ETH, HYPE) - Both modes use the same `timeframe` parameter

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• get_trade_history

  OneQAZ Trading Intelligence

  Purpose: Query paper-trading history with dynamic filters (action / P&L / time / symbol). When to call: past trade review, single-symbol post-mortem, win-rate audits. Prerequisites: none. Next steps: analyze_trades, market://{market_id}/signals/feedback. Caveats: paper-trading data only (not real money). limit capped at 1000. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 1000) action_filter: Filter by action (all, buy, sell) min_pnl: Min P&L % filter (e.g., -5.0) max_pnl: Max P&L % filter (e.g., 10.0) hours_back: Only trades within last N hours symbol: Filter by ticker symbol (e.g., "BTC", "AAPL"); case-insensitive Disclaimer: Information only, not investment advice.

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• prediction_market_orderbook

  Nansen

  Live orderbook for a Polymarket market. **When to use:** - Bid/ask depth, liquidity, and yes-share / no-share order structure. **Key fields:** - `Order Size` is share quantity, not USD. Do not describe share size as dollar depth unless you calculate `shares × price`. **Yes/No price relationship:** - Yes and No are complementary (Yes + No ≈ $1). A No bid at price $X means willingness to buy No when Yes is near $(1−X). - A cluster of No bids at low prices (e.g. $0.20) is resistance for Yes rallying to ~$0.80, NOT a support floor for the current Yes price. - When comparing OHLCV odds against orderbook depth, convert No-side prices to Yes-equivalent (1 − No price) before drawing divergence conclusions. **Pitfalls:** - Do not treat raw no-share prices as bearish yes-share odds — prefer `prediction_market_ohlcv` for current odds / implied probability. **Prerequisites:** If `marketId` is unknown, call `prediction_market_lookup` first.

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• tf_fear_greed

  terminalfeed

  Fetches the current Crypto Fear and Greed Index value (0-100) with classification label (Extreme Fear, Fear, Neutral, Greed, Extreme Greed). Source: Alternative.me. Cache TTL 5min. Use as a sentiment signal for crypto trading decisions.

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