Neotask brings Crypto.com market data and trading intelligence into your workflow - query prices, analyze markets, and monitor positions through natural conversation.
Query real-time cryptocurrency prices and market data across hundreds of trading pairs
Analyze market depth, order books, and price movements without switching to a trading terminal
Build automated crypto market monitoring workflows that surface signals as they happen
What You Can Do
Crypto.com through Neotask gives you nine market data and trading actions:
Area
Actions
What They Do
Market Data
Get ticker, get tickers, get price history
Real-time prices for single or multiple pairs, historical OHLCV candlestick data
Order Book
Get order book
Live bid/ask depth for any trading pair
Trades
Get recent trades
Latest executed trades with prices and sizes
Instruments
Get instruments, get instrument
List all available trading pairs or get specs for a specific instrument
Account
Get account summary, get positions
Review your Crypto.com account balance and open positions
Every action runs autonomously or requires your approval - you decide.
Try Asking
"What's the current BTC/USD price and 24-hour change?"
"Show me the order book depth for ETH/USDT top 20 levels"
"Pull BTC price history for the last 30 days at daily intervals"
"What instruments are available for trading MATIC?"
"What are the most recent trades on the SOL/USD pair?"
"Give me a snapshot of all my open positions and their current PnL"
"What's my account balance across all currencies?"
"Get tickers for BTC, ETH, SOL, and AVAX simultaneously"
Pro Tips
Schedule price alert automations so agents notify you in Slack or email when BTC crosses a defined threshold.
Multi-agent teams can monitor multiple pairs simultaneously and consolidate market summaries into a single morning briefing.
Combine account positions with live price data to calculate real-time portfolio valuations through conversation.
Use order book depth analysis to assess liquidity before large trades - ask for the top 50 levels on both sides.
Historical candlestick data is useful for technical analysis context - pass it to an agent with a charting or analytics tool in the same app group.
Multiple workspaces and capacity for larger teams.
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