Analyze macro catalyst scenarios by mapping cause-effect chains across markets, regions, and asset classes with confidence levels, historical precedents, and live data enrichment.
127,220 tools. Last updated 2026-05-05 10:17
"A platform for live probability option trading with indicators across multiple markets" matching MCP tools:
- Fetch NFT contract data for given wallet addresses across multiple chains. Pass a list of address-network pairs to receive contract metadata, with an option to include additional details.MIT
- Fetch live price, technical indicators, and metadata for specified symbols. Provides essential market data for analysis and decision-making.MIT
- Retrieve market data for Bitcoin Stamps with trading activity indicators, floor price filters, and volume data to analyze market trends.MIT
- Retrieve a catalog of your live trading algorithms, including current and past deployments, with optional filters for project ID or status.Apache 2.0
- Access endpoints for on-chain DEX and pool analytics to analyze liquidity, trading pairs, OHLCV data, trader statistics, and trading activity across multiple networks and protocols. Gain insights into decentralized exchange ecosystems and trading metrics.
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- Send commands to live trading algorithms to modify orders or parameters in real time.Apache 2.0
- Retrieve futures trading schedules for a specific product code across multiple dates. Use this tool to filter and sort session data by date range, enabling precise market activity analysis.MIT
- Get probability changes across prediction markets over the last 24 hours. Returns incremental delta as compact markdown. Read-only, no parameters required.MIT
- Retrieve top prediction markets for a specific topic on Polymarket using a topic slug, returning JSON data with market titles, volumes, and outcome probabilities.MIT
- Retrieve only prediction markets whose probability changed since a specified timestamp. Use for efficient polling loops instead of fetching full world state. Specify lookback window or ISO timestamp.MIT
- Aggregates probability estimates from multiple independent sources into a convergence score and consensus probability, highlighting outlier sources by pairwise disagreement.MIT
- Create a persistent browser session for executing Python or JavaScript code that interacts with live web pages, enabling multi-step browser automation and maintaining state across multiple operations.
- List all trading pairs (markets) for any exchange. View symbols, base/quote currencies, contract types, and active status. Use to check if an exchange offers a specific pair like SOL/USDC or enumerate perpetual contracts.
- Find and analyze trading markets on Paradex by retrieving detailed specifications like tick sizes, minimum orders, and asset types to match your trading criteria.
- Get a snapshot of real-money probabilities from ~9,700 live prediction markets across geopolitics, economics, tech, and policy. Filter by topic. Returns markdown or JSON.MIT
- Cross-reference arbitrary text with live prediction markets: submit content and get matching markets plus an LLM digest for contextual enrichment.MIT
- Retrieve current market summaries to identify active or volatile markets, compare prices and volumes, and analyze market conditions for trading opportunities using JMESPath filtering.
- Identify prediction markets with significant probability swings to detect momentum in trending events. Use to find actionable opportunities and volatile markets where consensus is rapidly changing.MIT
- Analyze Polymarket or Kalshi prediction markets to get AI-powered Oracle signals with probability, confidence, and reasoning for informed trading decisions.MIT