Sentiment Scout

This tool analyzes raw text such as tweets, articles, and logs to detect sentiment, infer likely market implications, and extract relevant entities. It accepts a required text string to analyze and two optional string inputs: context (high-level setting such as crypto twitter, news, or earnings call) and focus (a specific entity, ticker, or topic to prioritize). It returns structured fields such as sentiment scores, directional market signals, and extracted entities. All outputs must strictly validate against the system-provided structured output schema, which is auto-produced by the system and not supplied here.