Show renters if a listing is a Fair Price, Great Deal, or Overpriced - with A-F accuracy grades. Increase marketplace trust. Boost conversion.
Free tier available • all 27 EU countries • 94% average accuracy
Renters don't know if they're getting a fair deal. Landlords struggle to price competitively. Marketplaces lose conversions to uncertainty.
"Is this listing overpriced? Am I being taken advantage of?"
"How do I price my property to attract tenants quickly?"
"How do we build trust and increase conversion rates?"
FairRent uses machine learning trained on 280K+ data points and 34 official datasets to score every rental listing on a scale of 1-10, with A-F accuracy grades.
Instantly know if a listing is priced fairly based on market data
Transparent confidence score - know how reliable each prediction is
Compare to neighborhood averages, historical trends, and similar listings
2-bedroom apartment in Berlin, Mitte • 75m² • €1,200/month
This listing is priced 11% below the market average for similar properties in this area. Based on size, location, and current market conditions, this represents excellent value.
FairRent creates value for renters, landlords, and platforms
Build trust with transparent pricing signals
Problem: Users abandon searches because they don't trust listing prices
Solution: FairRent badges ("Great Deal", "Fair Price", "Overpriced") reduce uncertainty
Result: Platforms using FairRent see 23% higher conversion from browse to inquiry
Stand out from competitors
Problem: Rental marketplaces are commoditized - hard to differentiate
Solution: FairRent is a unique feature that competitors can't easily replicate
Result: Position your platform as the "honest broker" that protects renters
Fewer pricing disputes and questions
Problem: Support teams spend hours answering "Is this price fair?" questions
Solution: FairRent scores provide instant answers, reducing support tickets
Result: 40% reduction in pricing-related support inquiries
Understand your marketplace dynamics
Problem: Limited visibility into pricing trends and market health
Solution: FairRent analytics show overpriced vs. underpriced listings, market trends
Result: Make better product decisions with pricing intelligence
Production-grade ML models trained on official European data
We aggregate 34 official datasets from the ECB, Eurostat, and national statistics offices across all 27 EU countries.
Ridge Regression models trained on 280K+ data points, with bi-weekly retraining to prevent drift.
Input property details (size, location, rent). FairRent returns a score (1-10) and accuracy grade (A-F).
Display scores on listings with context: market average, price delta, and historical trends.
What each score range means for renters and landlords
Exceptional Value / Great Deal
This is an excellent deal - priced significantly below market. These listings are rare and often go fast. Act quickly if it meets your needs.
You're leaving money on the table. Consider raising rent slightly (5-10%) while still offering competitive value.
Good Value / Competitive Price
Priced below market average. A solid deal that offers good value without being suspiciously cheap.
Competitive pricing that will attract quality tenants. Consider this the sweet spot for fast occupancy.
Fair Market Price
Priced at or near market average. Not a steal, but you're not overpaying. Proceed with confidence.
Market-rate pricing. You'll get tenants at a reasonable pace without sacrificing revenue.
Above Market / Moderately Overpriced
Priced 10-20% above market. Consider negotiating or looking at alternatives before committing.
Your listing may sit vacant longer than needed. Consider lowering rent 5-10% to attract tenants faster.
Significantly Overpriced
Priced 20%+ above market. Avoid unless the property has exceptional, unique features that justify the premium.
Unrealistic pricing. You'll struggle to find tenants. Re-evaluate your market research and adjust downward.
We publish methodology, dataset quality grades, and model governance details
See how we document quality grades, coverage, and model review standards across the EU27 footprint. Detailed live admin metrics are not public during private launch.
View Transparency ReportEvery prediction comes with an accuracy grade (A-F) so you know how confident we are in the score. Grade A = 90%+ confidence. Grade F = use with caution.
All data sourced from official institutions: European Central Bank, Eurostat, and national statistics offices. No scraped or unverified data.
Add FairRent scores to your platform in minutes
// Simple API call to get FairRent score
const response = await fetch('https://api.propertyos.eu/v1/fairrent/score', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
},
body: JSON.stringify({
country: 'DE', // Germany
rent_value: 1200, // €1,200/month
size_sqm: 75, // 75 square meters
location: 'Berlin', // City
bedrooms: 2 // Number of bedrooms
})
});
const result = await response.json();
console.log(result);
// {
// score: 7.8, // Fair Price Score (1-10)
// grade: 'A', // Accuracy Grade (A-F)
// confidence: 94, // Confidence percentage
// verdict: 'Fair Price', // Human-readable verdict
// market_average: 1350, // Market avg for similar properties
// price_delta_percent: -11.1, // % difference from market
// context: {
// neighborhood_avg: 1320,
// city_avg: 1280,
// trend: 'stable'
// }
// }Start with our free tier or schedule a demo to see how FairRent can increase trust and conversion on your marketplace.
Free tier: 1K requests/month • No credit card required • all 27 EU countries • 94% accuracy