deepear-analysis-skill

# 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:** ```json { "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:** ```json { "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):** ```json { "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: ```bash uv run skills/deepear/scripts/server.py ```