ClinicalTrials.gov Parser
Monitor and summarize competitor clinical trial status changes from ClinicalTrials.gov.
Use Cases
- Trial Monitoring: Track status changes of specific clinical trials
- Competitive Intelligence: Monitor competitor trial activities and milestones
- Recruitment Tracking: Get updates on enrollment status
- Completion Alerts: Monitor trial completion and results posting
Parameters
| Parameter | Type | Default | Required | Description |
|---|
| ----------- | ------ | --------- | ---------- | ------------- |
--sponsor | string | - | No | Trial sponsor name |
--condition | string | - | No | Medical condition/disease |
--status | string | - | No | Trial status (Recruiting, Completed, etc.) |
--trials | string | - | No | Comma-separated trial IDs (NCT numbers) |
--output | string | json | No | Output format (json, csv) |
--days | int | 30 | No | Number of days for monitoring |
Usage
from scripts.main import ClinicalTrialsMonitor
# Initialize monitor
monitor = ClinicalTrialsMonitor()
# Search for trials
trials = monitor.search_trials(
sponsor="Pfizer",
condition="Diabetes",
status="Recruiting"
)
# Get trial details
trial = monitor.get_trial("NCT05108922")
# Check for status changes
changes = monitor.check_status_changes(trial_ids=["NCT05108922"])
CLI Usage
# Search trials
python scripts/main.py search --sponsor "Pfizer" --condition "Diabetes"
# Get trial details
python scripts/main.py get NCT05108922
# Monitor status changes
python scripts/main.py monitor --trials NCT05108922,NCT05108923 --output json
# Generate summary report
python scripts/main.py report --sponsor "Pfizer" --days 30
API Methods
| Method | Description |
|---|
| -------- | ------------- |
search_trials() | Search trials with filters |
get_trial(nct_id) | Get detailed trial information |
check_status_changes() | Check for status updates |
get_recruitment_status() | Get enrollment updates |
generate_summary() | Generate competitor summary |
Technical Details
- API: ClinicalTrials.gov API v2
- Rate Limit: 10 requests/second
- Data Format: JSON
- Difficulty: Medium
References
- See
references/api-docs.md for API documentation - See
references/status-codes.md for trial status definitions - See
references/examples.md for usage examples
Risk Assessment
| Risk Indicator | Assessment | Level |
|---|
| ---------------- | ------------ | ------- |
| Code Execution | Python scripts with tools | High |
| Network Access | External API calls | High |
| File System Access | Read/write data | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Data handled securely | Medium |
Security Checklist
- [ ] No hardcoded credentials or API keys
- [ ] No unauthorized file system access (../)
- [ ] Output does not expose sensitive information
- [ ] Prompt injection protections in place
- [ ] API requests use HTTPS only
- [ ] Input validated against allowed patterns
- [ ] API timeout and retry mechanisms implemented
- [ ] Output directory restricted to workspace
- [ ] Script execution in sandboxed environment
- [ ] Error messages sanitized (no internal paths exposed)
- [ ] Dependencies audited
- [ ] No exposure of internal service architecture
Prerequisites
# Python dependencies
pip install -r requirements.txt
Evaluation Criteria
Success Metrics
- [ ] Successfully executes main functionality
- [ ] Output meets quality standards
- [ ] Handles edge cases gracefully
- [ ] Performance is acceptable
Test Cases
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- Performance: Large dataset → Acceptable processing time
Lifecycle Status
- Current Stage: Draft
- Next Review Date: 2026-03-06
- Known Issues: None
- Planned Improvements:
- Performance optimization
- Additional feature support