Rental Trends. Ownership Patterns. Compliance Checks.
- HTML Mirror: https://roxanneardary.com/leasetrack-specification/
An open source AI platform that analyzes U.S. rental markets to identify affordability gaps, ownership patterns, landlord compliance issues, and market anomalies through AI driven analytics and public data integration.
LeaseTrack brings transparency to the U.S. rental housing market by combining rental listings, public records, ownership information, licensing databases, and artificial intelligence into a single open platform. The system helps researchers, policymakers, tenant advocates, investors, journalists, and consumers better understand rental markets through objective data analysis rather than isolated listings.
- Analyze rental affordability by ZIP Code.
- Compare rents against qualifying income standards.
- Detect unusual rental market activity.
- Monitor ownership concentration.
- Verify landlord licensing compliance.
- Provide explainable AI generated findings.
- Produce interactive visualizations.
- Support community driven improvements.
Collect rental listings from:
- MLS rental listings
- Zillow Rentals
- Apartments.com
- Rent.com
- Realtor rental listings
- Facebook Marketplace
- Craigslist
- Nextdoor
- Additional public rental websites
Support:
- Studio
- Efficiency
- One Bedroom
- Two Bedroom
- Three Bedroom
- Four Bedroom
- Five Plus Bedrooms
- Single Family Rentals
- Condominiums
- Townhomes
- Duplexes
- Multifamily Units
- Accessory Dwelling Units
Compare:
- Average rent
- Median rent
- Median household income
- Standard qualifying income
- Required annual income
- Required monthly income
Calculate:
- Rent to income ratio
- Required qualifying salary
- Local affordability score
- Market affordability index
Identify:
- Underpriced markets
- Overpriced markets
- Affordable housing shortages
- High burden rental markets
Automatically analyze flagged markets.
Evaluate:
- Rapid rent increases
- Historical rent trends
- Rental inventory changes
- Vacancy trends
- Pricing anomalies
- Seasonal patterns
- Neighborhood trends
- Housing shortages
Generate:
- AI summaries
- Market explanations
- Risk assessments
- Affordability reports
- Trend reports
Determine ownership type.
Identify:
- Individual owners
- Corporate owners
- LLC ownership
- Trust ownership
- Institutional investors
- Government ownership
- Nonprofit ownership
Analyze:
- Ownership concentration
- Absentee ownership
- Corporate acquisition patterns
- Portfolio size
- Geographic ownership clusters
Review licensing requirements where available.
Verify:
- Rental licenses
- Landlord registrations
- Business licenses
- Inspection requirements
- Registration renewals
Flag:
- Missing licenses
- Expired licenses
- Missing registrations
- Potential compliance issues
Analyze:
- Property records
- Deeds
- Tax assessments
- Ownership transfers
- Tax liens
- Code violations
- Permit history
- Eviction filings where publicly available
- Foreclosure records
- Parcel information
Track:
- New rental listings
- Removed listings
- Price reductions
- Price increases
- Time on market
- Listing history
- Rental inventory
- Market velocity
Review MLS activity.
Analyze:
- Listing broker activity
- Listing agent activity
- Repeated market participation
- Rental concentration
- Geographic specialization
Support:
- National analysis
- State analysis
- County analysis
- Municipality analysis
- ZIP Code analysis
- Neighborhood analysis
- Census tract analysis
Interactive mapping includes:
- Heat maps
- Ownership maps
- Affordability maps
- Compliance maps
- Market activity maps
Maintain historical datasets for:
- Rent history
- Ownership changes
- Licensing history
- Inventory history
- Market trend history
- Affordability history
Generate:
- Trend comparisons
- Historical reports
- Growth analysis
Generate:
- ZIP Code reports
- City reports
- County reports
- State reports
- Ownership reports
- Compliance reports
- AI summaries
- Affordability reports
- Market trend reports
Export:
- CSV
- JSON
- Excel
Notify users of:
- New affordability issues
- Large rent increases
- Ownership changes
- Licensing issues
- New market anomalies
- Significant market trends
Support:
- Scheduled reports
- Weekly updates
- Monthly summaries
- Custom alerts
Interactive dashboard includes:
- Market overview
- Rental trends
- Affordability charts
- Ownership charts
- Compliance status
- Heat maps
- Historical graphs
- AI generated insights
Support:
- Community contributions
- Public issue reporting
- Data validation
- Research collaboration
- Documentation improvements
Provide APIs for:
- Rental statistics
- Affordability calculations
- Ownership lookups
- Licensing verification
- Market reports
- Historical trends
- AI summaries
The AI system can:
- Explain affordability gaps
- Detect market anomalies
- Identify ownership trends
- Analyze rental behavior
- Produce plain language reports
- Forecast rental trends
- Recommend additional investigation
- Compare neighboring markets
- Detect unusual ownership concentration
- Identify emerging housing issues
- Python
- FastAPI
- Celery
- Redis
- PostgreSQL
- PostGIS
- Pandas
- NumPy
- Scikit Learn
- TensorFlow
- Large Language Models
- LangChain
- Vector Database support
- Retrieval Augmented Generation
- Explainable AI
- React
- Tailwind CSS
- Leaflet
- Mapbox
- Plotly
- D3.js
- BeautifulSoup
- Playwright
- Selenium
- Modular architecture
- Open source
- Explainable AI
- Transparent calculations
- Privacy conscious
- Public data first
- Extensible plugin architecture
- API first design
- Local deployment support
- Scalable infrastructure
- Researchers
- Housing advocates
- Journalists
- Investors
- Property managers
- Government agencies
- Universities
- Nonprofit organizations
- Community planners
- Consumers
- Fair Housing Analysis
- Rent Control Analytics
- Housing Supply Modeling
- Gentrification Indicators
- Economic Mobility Analysis
- Rental Fraud Detection
- Corporate Portfolio Intelligence
- Tenant Displacement Indicators
- Housing Policy Simulation
- Infrastructure Impact Analysis
- School District Correlation
- Transit Accessibility Analysis
- Environmental Risk Mapping
- Disaster Recovery Monitoring
- Predictive Market Forecasting
- Fully AGPL-3.0+ compliant system
- Copyleft enforced for network deployments
- Required attribution:
- Roxanne Ardary
- https://www.roxanneardary.com/
- Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/leasetrack/
LeaseTrack is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to this project, you agree that your contributions will also be released under this license.
Please note the following:
- All contributions must comply with the AGPL-3.0+ terms.
- Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to:
Roxanne Ardary and roxanneardary.com. - LeaseTrack specificiations are free to use with attribution. A Specification Branding License can be negotiated upon request.
- The project's notice.md file tracks attribution requirements and contributor acknowledgments.
Any update that adds new contributors or modifies attribution should also updatenotice.md. - When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
- Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.
For full legal details, please refer to the AGPL-3.0+ license and the project's notice.md file.
Open Arsenal Hub
https://gitlab.com/Roxanne_Ardary/open-arsenal-specs