alphaear-deepear-lite

The alphaear-deepear-lite skill transforms your AI agent into a sophisticated financial intelligence observer by connecting directly to the DeepEar Lite real-time data source. This tool is designed for quantitative analysts, retail investors, and research assistants who require immediate situational awareness of shifting market trends and the logic behind price movements. By interacting with the DeepEar API, the skill retrieves high-frequency signals that capture sentiment, intensity, and statistical confidence, enabling agents to interpret market volatility with context-aware reasoning.

• Real-time signal retrieval: Connects to the DeepEar Lite dashboard via JSON API to pull the latest market intelligence.

• Context-rich analysis: Extracts structured data including signal summaries, sentiment scores, and confidence metrics.

• Transmission-chain insights: Provides reasoning data that explains how news or market shifts are expected to impact specific sectors or assets.

• Multi-metric reporting: Delivers comprehensive summaries involving sentiment, intensity, and source links for further verification.

• The skill functions via the DeepEarLiteTools class, requiring internet access to query the endpoint https://deepear.vercel.app/latest.json.

• Typical inputs include trigger commands from the agent for fresh market updates; output is a formatted text report ready for presentation to the user.

• No local database is required, keeping the skill lightweight and dependency-minimal (utilizing requests and loguru).

• Ideal for users needing to monitor hot topics, sector-specific performance, or sentiment-driven market alerts.

• Users should note that data freshness depends on the DeepEar platform's update cycle and the agent's query frequency; high-frequency requests should be throttled appropriately.