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REIzer methodology
REIzer is a real-estate deal analyzer: give it a property and your assumptions, and it underwrites the deal β cash flow, cap rate, DSCR, ARV math, stress tests, and a 0β100 deal score β across six investment strategies. These pages document exactly how the numbers are computed, so you can check our math instead of trusting a black box.
The analyzers
- Long-Term Rental β buy & hold, house-hacks, duplexes: monthly cash flow, cash-on-cash, cap rate, DSCR, 30-year wealth projection.
- Short-Term Rental β ADR Γ occupancy revenue model, break-even occupancy and break-even ADR, seasonality-aware underwriting.
- BRRRR β buy, rehab, rent, refinance, repeat: capital recovery at refi, cash left in deal, minimum ARV.
- Fix-n-Flip β after-tax profit and margin, annualized ROI, break-even cushion, 70% rule check.
- New Construction β build-to-sell and build-to-rent exits, yield-on-cost, development spread.
- Multifamily β rent-roll driven: in-place vs stabilized NOI, economic occupancy, value-add lift, price per unit.
- Portfolio Tracker β equity, cash flow, and loan paydown across properties you already own.
- Market Trends β US gross-yield heatmap at state, county, and ZIP level.
Methodology
The scoring engine
How a deal becomes a 0β100 score: strategy-specific rubrics, metric normalization bands, weights, and verdict thresholds.
DSCR & the 70% rule
Debt-service coverage the way lenders read it, and the classic flipper price ceiling β formulas, thresholds, and why they matter.
Cap rate, NOI & default assumptions
NOI conventions, in-place vs stabilized cap rates, exit caps, development spread, and the default operating assumptions REIzer fills when you don't provide one.
The MAO solver
How REIzer reverse-solves the analyzer to find your Maximum Allowable Offer and names the binding constraint.
Metric glossary
Every underwriting term REIzer reports, defined in plain language β from ADR to yield-on-cost.
API & MCP server
Programmatic access for developers and AI agents β current status and what's planned.
For AI agents
REIzer publishes machine-readable summaries of this documentation following the llms.txt convention:
- reizer.io/llms.txt β index of what REIzer does, with links.
- reizer.io/llms-full.txt β the full methodology flattened into one plain-text document.
Both are served as plain text with permissive CORS. The public API and remote MCP server are live in beta β see API & MCP.
Data sources
Analysis math runs entirely on the inputs you provide. Optional paid features pull property records, sale and rent comparables, and short-term-rental market data from licensed data providers; those results are always labeled with their source and freshness inside the app.