Every other API gives you a number and tells you to trust it. PropData shows you exactly which sources contributed, what weight each got, and how confident the model is. You own the logic. You can defend every number.
Most rent estimate APIs are black boxes. They give you a number, maybe a range, and no explanation. PropData's estimate engine is a documented weighted model. Every source, every weight, every calculation is returned in the API response so you can audit, explain, and trust the output.
The Zillow Observed Rent Index tracks median asking rents for active listings. It's the strongest single signal for what you can actually charge today — not what renters paid last year.
Census ACS 5-year estimates capture what renters are actually paying across all occupied units — not just newly listed ones. It anchors the estimate to real affordability in the market.
HUD publishes annual Fair Market Rents for every US county by bedroom count. These are the government's benchmark for reasonable rent — and the basis for Section 8 voucher amounts.
Using Redfin median sale prices with a 6.5% cap rate assumption, we derive what a rational investor would need to charge to generate market-rate returns. A market sanity check.
If you're building a tool that suggests a rent price to a landlord, a comp to an investor, or a valuation to a buyer — they're going to ask "why?" PropData is the only rent estimate API where you have an actual answer.
Show the breakdown: "Our estimate uses Zillow market data, government benchmarks, and census actuals. Here's how each one contributed." That's a conversation starter, not a black box.
Institutional investors don't accept a single number. They want a range and a basis. PropData returns low/mid/high with confidence scores — underwriting-ready out of the box.
Fair housing compliance, Section 8 disputes, rent control challenges — the methodology is documented, government-sourced, and auditable. Not a proprietary algorithm you can't explain.
Pass ?beds=0 through ?beds=4 for bedroom-specific estimates. The model applies nationally-calibrated multipliers derived from HUD FMR ratios.
Give landlords a defensible asking price with a low/mid/high range they can explain to their property manager. No more guessing from Zillow comps.
Feed structured rent estimates directly to your LLM. The JSON response is clean, labeled, and includes the reasoning — perfect for RAG and AI tools.
HUD FMR is one of the four model sources. For tools that need to show government-aligned rent benchmarks by bedroom, PropData is the only API that surfaces this via simple REST call.
Low/mid/high rent scenarios with confidence scores are exactly what investment models need. Pair with cap rate assumptions to get NOI range for any property address.
Batch all your ZIP codes through /v1/estimate to build a rent roll projection. State-level queries let you benchmark portfolios across markets.
Show renters what "fair market" means in their neighborhood. The HUD FMR data gives you government-sanctioned benchmarks — credible, explainable, defensible.
Free tier includes 50 requests/hour — enough to explore any market. Upgrade to Pro for 500/hour at flat $49/mo.