Get estimated rent ranges, comparable listings, rent-per-sqft benchmarks, and historical trends for any address in the top 50 US metros. Built for property management software, lending platforms, and real estate tools.
POST /v1/comps HTTP/1.1
Content-Type: application/json
{
"address": "742 Evergreen Terrace, Springfield, IL",
"bedrooms": 3,
"bathrooms": 2,
"sqft": 1800,
"radius_miles": 2
}{
"estimated_rent": {
"low": 1450,
"mid": 1625,
"high": 1800
},
"confidence_score": 0.87,
"comparable_count": 12,
"market_stats": {
"median_rent": 1580,
"avg_rent_per_sqft": 0.94,
"yoy_change_pct": 3.2
}
}Manual rent research does not scale. Your platform needs data you can trust - programmatically.
Five endpoints. One subscription. All the rental market data you need to power property valuations, underwriting, and portfolio analysis.
Find active and recent rental listings within configurable radius. Returns distance, rent amount, square footage, and days on market for each comp - sorted by relevance.
Statistical model with weighted regression on beds, baths, sqft, zip median, amenity adjustments, and seasonal factors. Returns low/mid/high range with confidence score.
12-month historical rent trends, year-over-year changes, and vacancy rate estimates by zip code. Track market movement and identify emerging opportunities.
Current FMR and Section 8 payment standards for any zip code and bedroom count. Essential for affordable housing platforms and DSCR lending calculations.
Census and ACS demographic data - median household income, population density, and walk score integration. Add local context to every rent estimate.
No SDKs to install. No credentials to configure. Just a REST API that returns clean JSON.
POST the property address and unit specs (beds, baths, sqft, radius) to our /v1/comps endpoint. That is it - one HTTP call.
We query our aggregated listing database, run statistical models, and compute confidence scores - all in under 200ms.
Receive estimated rent range, comparable listings, market stats, and neighborhood context in clean JSON. Ready to display or pipe into your models.
Early bird pricing locked for life. No credit card needed to reserve your spot.
Early bird pricing locked for life. No credit card needed to reserve your spot. Regular pricing returns after 200 signups.
RentComp aggregates data from public property records, MLS feeds, HUD Fair Market Rent tables, Census/ACS demographic datasets, and licensed listing aggregators. We do not scrape consumer-facing listing sites. All sources are refreshed on a weekly or monthly cadence depending on the data type.
Our model achieves 78% of estimates within 5% of actual asking rent in supported metros. Accuracy depends on comparable listing density - urban cores with high listing volume produce tighter confidence intervals than suburban or rural areas. Every response includes a confidence_score so you can programmatically decide how to use the estimate.
At launch, we support the top 50 US metropolitan statistical areas by population. This covers roughly 55% of US rental units. We are actively expanding coverage and plan to reach 100+ metros within six months of launch. Metro coverage details are available in the API documentation.
Active listing data is refreshed weekly. Historical trend data is computed monthly. HUD Fair Market Rent figures are updated annually when HUD publishes new tables (typically October). Each API response includes a data_as_of timestamp so you always know how current the data is.
Yes - that is one of our primary use cases. The rent estimation endpoint returns a low/mid/high range that maps directly to conservative, expected, and optimistic rental income projections. Combined with HUD FMR data for Section 8 income potential, you have the data points needed for DSCR calculations. Several beta users are already integrating RentComp into their loan origination systems.
Yes. The /v1/comps/batch endpoint accepts up to 50 addresses per request. Batch responses are returned as an array of individual comp reports. Batch requests count as one API call per address toward your monthly quota. Available on Pro plans and above.
All endpoints return JSON. Responses include the rent estimate, comparable listings array, market statistics, and metadata (confidence score, data freshness, metro coverage flag). We also provide CSV export via a query parameter for bulk data consumers. Full response schemas are documented in our API reference.
We do not offer a traditional free trial, but early bird members who join the waitlist get their first month free on any plan. Additionally, all plans include 10 free test calls per month in sandbox mode so you can validate your integration without consuming your quota.
For addresses outside our 50 supported metros, the API returns a 200 response with a coverage flag set to false and includes HUD Fair Market Rent data (which covers all US zip codes). The rent estimation and comparable listings fields will be null. You will not be charged for uncovered addresses.
The /v1/fmr endpoint returns current HUD Fair Market Rent values and Small Area FMR (SAFMR) where available, broken down by bedroom count (0-4 BR). It also includes Section 8 payment standards and exception rent levels for the applicable housing authority. This data covers every US zip code, regardless of metro coverage status.
Join as a founding member and pay early bird pricing forever. No price increases, no contract - just the best rental data API at a fraction of the cost.
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