| name | grant-funding-scout |
| description | NIH funding trend analysis to identify high-priority research areas |
| version | 1.0.0 |
| category | Research |
| tags | [] |
| author | AIPOCH |
| license | MIT |
| status | Draft |
| risk_level | Medium |
| skill_type | Tool/Script |
| owner | AIPOCH |
| reviewer | |
| last_updated | 2026-02-06 |
Grant Funding Scout
⚠️ 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.
Use Cases
- Identifying "hot" research topics
- Avoiding oversaturated areas
- Strategic grant positioning
Parameters
| 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 |
Returns
- Top-funded institutions and PIs
- Emerging topic identification
- Funding trend analysis
Example
Input: "cancer immunotherapy", years=3
Output: Funding increased 40% YoY; CAR-T and checkpoint inhibitors dominate
Data Sources
Current Version: Uses mock funding data for demonstration purposes.
For Production Use:
- NIH RePORTER API
- NSF Award Search API
- CORDIS (EU research)
- Federal RePORTER
- Private foundation databases
Risk Assessment
| Risk Indicator | Assessment | Level |
|---|
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access |