get_sentiment_analysis
Analyze crypto sentiment by processing social media and news sources to identify market trends and narratives.
Instructions
Get AI-powered sentiment analysis for crypto topics.
Args: query: Topic to analyze (token name, project, or keyword) sources: List of sources. Options: twitter, reddit, news, telegram
Returns: Sentiment score, volume trends, and key narratives.
Price: $0.30
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| sources | No |
Implementation Reference
- coinrailz_mcp/__init__.py:386-404 (handler)The implementation of the get_sentiment_analysis tool, which calls the 'sentiment-analysis' service via a helper function.
async def get_sentiment_analysis(query: str, sources: List[str] = None) -> str: """ Get AI-powered sentiment analysis for crypto topics. Args: query: Topic to analyze (token name, project, or keyword) sources: List of sources. Options: twitter, reddit, news, telegram Returns: Sentiment score, volume trends, and key narratives. Price: $0.30 """ payload = { "query": query, "sources": sources or ["twitter", "reddit", "news"] } result = await call_coinrailz_service("sentiment-analysis", payload) return json.dumps(result, indent=2)