Find real value — not just similar listings
We analyze every property across multiple signals to estimate its true market value, rental potential, and investment quality.
Unlike basic comparable listings, Opentero looks at demand, condition, environment, and micro-location — not just price per m².
What we analyze
Every listing is enriched with signals across several key dimensions.
Access to city center, transport, and everyday essentials — not just distance, but real livability.
Size, layout, building type, floor, and amenities.
Prices of similar homes nearby — adjusted for real differences.
How fast similar properties sell, how much attention they get, and how prices change over time.
We analyze photos to estimate renovation level, light, and overall appeal.
Greenery, noise, and surrounding conditions that affect long-term value.
Estimated value & rent
Three numbers, one clear picture.
- Market sale value. What the property is likely worth
- Rental income. Expected monthly rent
- Yield. Potential return based on current price
You instantly see whether a listing is undervalued, fairly priced, or overpriced.
Confidence score
Every estimate comes with a confidence level so you know how much to trust it — tight uncertainty on familiar data, wider ranges on atypical listings.
One score, 0 to 10
Each listing is ranked across multiple factors — not just one.
- Price advantage vs estimated value
- Rental potential
- Listing freshness
High scores indicate strong opportunities across multiple factors — not just one.
Understand why
Instead of a black box, you get clear, human-readable drivers of the estimate.
Investment scenarios
We estimate costs, returns, and payback so you can evaluate risk before making a decision.
Why not just use similar listings?
Comparable listings alone can be misleading. Opentero combines every signal into a single, consistent estimate.
Always fresh
- Data aggregated from major listing platforms
- Continuously updated as listings change
- New opportunities detected in real time
Estimates are based on statistical models and available data. They are provided for informational purposes only and should not be considered financial advice.