get_yoy_monthly_trading_volume_by_aggragator
Analyze year-over-year monthly trading volume trends for aggregators using Dune Analytics data, presented in a markdown pivot table format.
Instructions
Retrieve year-over-year monthly trading volume by aggregator.
This tool fetches year-over-year monthly trading volume data for aggregators from a Dune Analytics query and returns it in a markdown-formatted pivot table, with years as the index and months as columns.
Args:
limit (int, optional): Maximum number of rows to retrieve from the query. Defaults to 1000.
Returns:
str: A markdown-formatted pivot table of trading volume data, or an error message if the query fails.Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Implementation Reference
- main.py:175-195 (handler)The main handler function for the tool 'get_yoy_monthly_trading_volume_by_aggragator'. It is decorated with @mcp.tool() which serves as both the implementation and registration. Fetches data from Dune query 4424 using the helper get_latest_result, pivots the data by year and month, and returns a markdown table.
@mcp.tool() def get_yoy_monthly_trading_volume_by_aggragator(limit: int = 1000) -> str: """ Retrieve year-over-year monthly trading volume by aggregator. This tool fetches year-over-year monthly trading volume data for aggregators from a Dune Analytics query and returns it in a markdown-formatted pivot table, with years as the index and months as columns. Args: limit (int, optional): Maximum number of rows to retrieve from the query. Defaults to 1000. Returns: str: A markdown-formatted pivot table of trading volume data, or an error message if the query fails. """ try: data = get_latest_result(4424, limit=limit) df = pd.DataFrame(data) pivot_df = df.pivot(index="year", columns="month", values="usd_volume") pivot_df = pivot_df.sort_index(ascending=False) return pivot_df.to_markdown() except Exception as e: return str(e) - main.py:21-43 (helper)Shared helper function used by multiple tools, including this one, to fetch latest results from a specified Dune Analytics query ID.
def get_latest_result(query_id: int, limit: int = 1000) -> list: """ Fetch the latest results from a Dune Analytics query. Args: query_id (int): The ID of the Dune query to fetch results from. limit (int, optional): Maximum number of rows to return. Defaults to 1000. Returns: list: A list of dictionaries containing the query results, or an empty list if the request fails. Raises: httpx.HTTPStatusError: If the API request fails due to a client or server error. """ url = f"{BASE_URL}/query/{query_id}/results" params = {"limit": limit} with httpx.Client() as client: response = client.get(url, params=params, headers=HEADERS, timeout=300) response.raise_for_status() data = response.json() result_data = data.get("result", {}).get("rows", []) return result_data