Real-time data right where you work

AI-Driven APIs for Real Estate Analysis

HelloData aggregates daily data on millions of multifamily properties across the U.S. to drive our comps and pricing algorithms, and we offer this data via API. Our offerings include:

If you are a real estate or PropTech company looking to leverage our data or APIs for offering memos, appraisals, or within PropTech solutions, let's talk!

1{
2  "lat": 25.75321,
3  "lon": -80.25624,
4  "year_built": 2018,
5  "number_units": 200,
6  "number_stories": 18,
7  "street_address": "60 Minorca Avenue",
8  "street_address_alias": ["60 Minorca", "60 Minorca Avenue"],
9  "city": "Coral Gables",
10  "state": "FL",
11  "zip_code": "33134",
12  "avg_quality": 0.7481592,
13  "building_name": "Gables Columbus Center",
14  "building_name_alias": ["Gables Columbus Center"],
15  "similarity_score": {
16    "overall": 0.845,
17    "market": 0.881,
18    "distance": 0.734,
19    "number_units": 0.638,
20    "vintage": 0.943,
21    "number_stories": 0.588,
22    "quality": 0.884,
23    "building_amenities": 0.852,
24    "unit_amenities": 0.917,
25    "unit_mix": {
26      "0": 0.978,
27      "1": 0.873,
28      "2": 0.787,
29      "3": 0.678
30    }
31  },
32}
33
Identify statistically similar rent comps in any market

Automated Multifamily Rent Comp Detection API

When prospective residents decide where to rent, they look at location, then price, then listing photos. But most comparable property detection algorithms don't account for the look and feel of properties at all.

We use things like market demographics, year built, number of units, unit mix, and our proprietary QualityScore real estate image analysis API to evaluate comps like a resident would.

table with unformatted and formatted addresses with a VBA button to normalize the addresses
table showing insurance cost increases by state
Analyze expenses with data from real financials

Multifamily Operating Expense Benchmarks API

We collect, normalize and standardize financial performance data on over 25,000 multifamily properties across the country to help you efficiently analyze deals and unlock operational efficiencies.

Our expense comps include real operating data from real properties, and we use them to help you instantly underwrite deals in any market with only an address.

Assess real estate condition and quality from photos

QualityScore: Real Estate Image Analysis API

QualityScore.ai analyzes interior and exterior property photos to assess the quality and physical condition of single and multifamily properties.

It can be used to improve valuation accuracy and consistency across appraisals, identify at-risk properties in a loan portfolio, or identify value-add opportunities in any market. Try the API today and unlock valuable insights from your real estate imagery.

Our room and attribute detection with accuracy figures are included below. Schedule a demo to learn more.

table with unformatted and formatted addresses with a VBA button to normalize the addresses

QualityScore Room/Area Detection

Rooms
Accuracy
Common Areas
Accuracy
Kitchen
99%
Main Facade
99%
Bathroom
98%
Other Exterior
97%
Living Room
97%
Main Entrance
86%
Dining Room
94%
Common Areas
95%
Laundry Room
98%
Fitness Center
99%
Bedroom
97%
Swimming Pool
99%
Stairs or Hallway
90%
Playground
99%
Storage
93%

QualityScore Attribute/Tag Detection

Rooms
Accuracy
Common Areas
Accuracy
Wood Floors
98%
Crown Moulding
91%
Tile Floors
90%
High Ceilings
82%
Carpet Floors
87%
Vaulted Ceilings
81%
Kitchen Island
80%
Lots of Natural  Light
86%
Stainless Steel  Appliances
85%
Designer Light  Fixtures
86%
Backsplash
64%
Floor To Ceiling  Windows
64%
Stone Countertops
83%
Lots of Windows
82%
Ceramic Tub  Surround
83%
Walk-In Closet
93%
Walk-In Shower
73%
Fireplace
87%
Glass Framed Shower
78%
Large Room
71%
Ceiling Fan
97%
Under Construction
98%

Power your products with the best data for real estate

This API is the same we use to power our platform. Feel free to check its documentation here:

API Documentation