Cross-asset price monitor

Side-by-side snapshot of a stock and a crypto asset: live quotes, 1-year history, and a date-stamped comparison.

When to use this pack

An agent or analyst wants to compare a traditional equity with a crypto asset — e.g. 'How has AAPL performed versus BTC over the last year?' Running stock-quote and crypto-price individually gives two disconnected numbers; adding historical data from both sides plus a date-format timestamp turns it into a dated comparison card the caller can track over time or feed into a report. Useful for portfolio dashboards, market-update bots, newsletter generators, and any agent that needs a quick cross-asset health check.

Tools in this pack

• Stock quote $0.010 GET /api/stock-quote Live stock/index/FX/crypto quote: last price, day range, 52-week range, previous close, currency, exchange, and a relative change vs. previous close, as clean JSON. Backed by Yahoo Finance's public chart endpoint — keyless, no rate limits in practice. Symbols: equities (AAPL), indices (^GSPC), FX (EURUSD=X), crypto (BTC-USD).
• Stock historical bars $0.015 GET /api/stock-history Historical OHLCV bars for a symbol. Configurable interval (1m, 5m, 15m, 30m, 60m, 1d, 1wk, 1mo, 3mo) and range (1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max). Intraday intervals are limited by Yahoo to ~60 days of data. Returns a flat array of bars (time, open, high, low, close, volume) ready for charting or backtests.
• Crypto price $0.010 GET /api/crypto-price Live crypto prices for one or many coins in any vs_currency (usd, eur, btc, eth, etc). Returns last price, 24h change %, 24h volume, and market cap per coin. Accepts ticker symbols (BTC, ETH, SOL) for the top ~50 by market cap, or canonical CoinGecko ids (e.g. "render-token") for any of the ~15k tracked coins. Batched: up to 25 coins per call. Backed by CoinGecko's public API — keyless.
• Crypto price history $0.015 GET /api/crypto-history Historical price, market cap, and volume time series for a coin. Granularity is automatic per CoinGecko: <=1 day = 5-min bars, 2-90 days = hourly, >90 days = daily. Days: 1, 7, 14, 30, 90, 180, 365, or "max". Returns aligned arrays of {time, price, marketCap, volume}.
• Date format $0.001 GET /api/date-format Parse a datetime from any format (ISO 8601, Unix timestamp in seconds or milliseconds, RFC 2822, or natural date string) and return it in every common format: ISO 8601, Unix (seconds), Unix (ms), RFC 2822, date-only, time-only, day of week, and human-relative (e.g. '3 days ago'). ?datetime=1719100800.

Workflow

1. Call date-format with datetime='now' (or the current ISO timestamp) to get a formatted snapshot timestamp — ISO, date-only, and day of week. This anchors the comparison to a specific point in time so the caller can track changes across repeated runs. The unix timestamp is useful as a cache key or filename.
2. Call stock-quote with symbol=<ticker> to get the live equity price: price, change, changePercent, volume, marketCap. This is the 'right now' read for the traditional side. If the market is closed, the quote reflects the last close — note the timestamp from step 1 so the caller knows whether this is live or stale.
3. Call stock-history with symbol=<ticker> and range='1y' to get the 1-year price series. Extract the first and last data points to compute the year-over-year return: ((last - first) / first * 100). This is the equity's trailing-12-month performance.
4. Call crypto-price with coins=<coin> and currency=usd to get the live crypto price: price, market_cap, 24h_volume, 24h_change. This is the 'right now' read for the crypto side.
5. Call crypto-history with coin=<coin>, days=365, and currency=usd to get the 1-year price series. Compute the year-over-year return the same way as step 3. Final payload: { timestamp: <step 1>, stock: { symbol, price, change, changePercent, yearReturn }, crypto: { coin, price, change24h, yearReturn }, comparison: { stockOutperforms: stockYearReturn > cryptoYearReturn, spreadPct: Math.abs(stockYearReturn - cryptoYearReturn) } }.

Run it in Claude

claude mcp add agent402 -s user -- npx -y agent402-mcp@latest

Then paste this prompt into Claude:

Build a cross-asset price comparison for ticker=AAPL vs coin=bitcoin using Agent402.

(1) date-format with datetime=new Date().toISOString() — returns {iso, date, dayOfWeek, unix}. Save as snapshot timestamp.

(2) stock-quote with symbol=AAPL — returns {price, change, changePercent, volume, marketCap}.

(3) stock-history with symbol=AAPL, range='1y' — returns {history: [{date, close}]}. Compute stockYearReturn = ((history[last].close - history[0].close) / history[0].close * 100).toFixed(2).

(4) crypto-price with coins=bitcoin, currency='usd' — returns [{price, market_cap, change_24h}].

(5) crypto-history with coin=bitcoin, days='365', currency='usd' — returns {prices: [[timestamp, price]]}. Compute cryptoYearReturn = ((prices[last][1] - prices[0][1]) / prices[0][1] * 100).toFixed(2).

Final return: {timestamp: {iso: <step 1 iso>, date: <step 1 date>, dayOfWeek: <step 1 dayOfWeek>}, stock: {symbol: 'AAPL', price: <step 2 price>, change: <step 2 change>, changePercent: <step 2 changePercent>, yearReturn: stockYearReturn}, crypto: {coin: 'bitcoin', price: <step 4 price>, change24h: <step 4 change_24h>, yearReturn: cryptoYearReturn}, comparison: {stockOutperforms: parseFloat(stockYearReturn) > parseFloat(cryptoYearReturn), spreadPct: Math.abs(parseFloat(stockYearReturn) - parseFloat(cryptoYearReturn)).toFixed(2)}}. Budget ~$0.005 paid; all 5 tools are wallet-only (external API calls).

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