name: DeepEar Analysis Skill description: A skill that performs financial signal analysis using the DeepEar workflow.

DeepEar Analysis Skill

This skill wraps the DeepEar analysis workflow, allowing you to trigger comprehensive financial signal analysis via an API.

API Endpoints

POST /analyze

Triggers the DeepEar analysis workflow.

Request Body:

{
  "query": "A-share tech sector",
  "sources": "all",
  "wide": 10,
  "depth": "auto",
  "concurrency": 5,
  "update_from": "20240203_110000"
}

• query (optional): The user intent or topic to analyze.
• sources (optional): News sources ('all', 'financial', 'social', 'tech', or comma-separated). Default: 'all'.
• wide (optional): Number of items to fetch per source. Default: 10.
• depth (optional): Analysis depth ('auto' or integer). Default: 'auto'.
• concurrency (optional): Number of concurrent threads. Default: 5.
• update_from (optional): Provide a run_id to update an existing analysis with new market data/logic.

Response:

{
  "job_id": "550e8400-e29b-41d4-a716-446655440000",
  "status": "pending",
  "submitted_at": "2024-02-04T12:00:00.000000"
}

GET /status/{job_id}

Check the progress and get the result of the analysis job.

Response (Completed):

{
  "job_id": "550e8400-e29b-41d4-a716-446655440000",
  "status": "completed",
  "result": {
    "report_path": "/path/to/DeepEar/reports/daily_report_20240204_1205.html",
    "message": "Analysis completed successfully."
  },
  "timestamp": "2024-02-04T12:05:00.000000"
}

Usage

Run the server:

uv run skills/deepear/scripts/server.py