Documentation
Understand the methodology behind our renovation cost estimation, resale impact modeling, and Monte Carlo simulation.
Enter your renovation details and get an ROI analysis in under 5 minutes.
How we calculate project costs using RSMeans, HomeAdvisor, and local labor rate data for your ZIP code.
How renovation type, quality, and local market conditions affect your home resale value.
10,000 scenarios varying material costs, labor rates, and resale multipliers for probability-weighted ROI.
NAHB Cost of Housing, NAR Remodeling Impact Report, Census ACS, RSMeans, FHFA HPI.
REST API endpoints for renovation cost estimation, ROI calculation, and project comparison.
/v1/calculateCalculate renovation ROI for a single project
/v1/compareCompare ROI across multiple renovation projects
/v1/costs/:zip/:projectTypeGet local cost estimates for a project type
/v1/resale/:zip/:projectTypeGet resale value impact data
/v1/simulateRun Monte Carlo simulation with custom parameters
Resivane estimates renovation costs using a multi-source approach. We start with national average costs from RSMeans construction cost data and NAHB Housing Economics, then apply local labor rate adjustments from Bureau of Labor Statistics OES data and regional material cost indices. The result is a ZIP-code-specific cost range that reflects what homeowners in your area actually pay.
Each cost estimate includes a confidence interval derived from the standard deviation across data sources. When contractor bids from HomeAdvisor and Houzz fall within our modeled range, it validates our estimates. When they diverge, we flag the discrepancy so you can investigate further.
National Association of Home Builders -- construction cost indices and housing economics data.
National Association of Realtors -- renovation project resale value recovery rates by project type.
Gordian RSMeans -- localized construction cost benchmarks for materials and labor.
Federal Housing Finance Agency -- metro-level home price appreciation for resale projections.