⚠️ Note: This is a demonstration/illustrative version using mock data for educational purposes. For production use, integration with real funding databases (NIH RePORTER, NSF Award Search, etc.) is required.
Analyze funding patterns to guide research strategy.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| ----------- | ------ | ---------- | --------- | ------------- |
--research-area | str | Yes | - | Research field to analyze (e.g., "cancer immunotherapy") |
--years | int | No | 3 | Analysis time window in years |
--output | str | No | stdout | Output file path for results |
--format | str | No | json | Output format: json, csv, or text |
--top-n | int | No | 10 | Number of top results to display |
Input: "cancer immunotherapy", years=3
Output: Funding increased 40% YoY; CAR-T and checkpoint inhibitors dominate
Current Version: Uses mock funding data for demonstration purposes.
For Production Use:
| Risk Indicator | Assessment | Level |
|---|---|---|
| ---------------- | ------------ | ------- |
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access | Read input files, write output files | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Output files saved to workspace | Low |
No additional Python packages required.
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