get_sentiment_balance
Analyze the sentiment balance of a cryptocurrency by calculating the difference between positive and negative sentiment over a specified period. Ideal for monitoring market sentiment trends.
Instructions
Retrieve the sentiment balance (sentiment_balance_total) for a given asset.
Parameters:
asset (str): The cryptocurrency slug (e.g., "bitcoin", "ethereum"). Required.
days (int): Number of days to calculate the average sentiment balance, defaults to 7.
Usage:
Use this tool to get the average sentiment balance (positive minus negative sentiment) over a period.
Returns:
A string with the average sentiment balance (e.g., "Bitcoin's sentiment balance over the past 7 days is 12.5").
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| asset | Yes | ||
| days | No |
Implementation Reference
- main.py:66-89 (handler)The main handler function for the 'get_sentiment_balance' tool. It is registered via @mcp.tool() decorator, fetches sentiment data using Santiment API, computes the average balance, and returns a formatted result string.@mcp.tool() def get_sentiment_balance(asset: str, days: int = 7) -> str: """ Retrieve the sentiment balance (sentiment_balance_total) for a given asset. Parameters: - asset (str): The cryptocurrency slug (e.g., "bitcoin", "ethereum"). Required. - days (int): Number of days to calculate the average sentiment balance, defaults to 7. Usage: - Use this tool to get the average sentiment balance (positive minus negative sentiment) over a period. Returns: - A string with the average sentiment balance (e.g., "Bitcoin's sentiment balance over the past 7 days is 12.5"). """ try: data = fetch_santiment_data("sentiment_balance_total", asset, days) timeseries = data.get("data", {}).get("getMetric", {}).get("timeseriesData", []) if not timeseries: return f"Unable to fetch sentiment data for {asset}. Check subscription limits or asset availability." avg_balance = sum(float(d["value"]) for d in timeseries) / len(timeseries) return f"{asset.capitalize()}'s sentiment balance over the past {days} days is {avg_balance:.1f}." except Exception as e: return f"Error fetching sentiment balance for {asset}: {str(e)}"
- main.py:16-42 (helper)Helper function to fetch timeseries data from Santiment GraphQL API for a specific metric and asset over a given number of days. Used by get_sentiment_balance and other tools.def fetch_santiment_data(metric: str, asset: str, days: int) -> dict: now = datetime.now(UTC) to_date = now from_date = to_date - timedelta(days=days) query = f""" {{ getMetric(metric: "{metric}") {{ timeseriesData( slug: "{asset}" from: "{from_date.isoformat()}" to: "{to_date.isoformat()}" interval: "1d" ) {{ datetime value }} }} }} """ response = requests.post(SANTIMENT_API_URL, json={"query": query}, headers=HEADERS) result = response.json() if result.get("errors"): raise Exception(f"API error: {result.get('errors')}") return result