AI Tool for Real Estate Data Analysis — Upload Listings, Ask
An AI tool for real estate data analysis reads your MLS exports, property portfolios, and transaction histories and answers questions about market trends, deal performance, and pipeline health — in plain English, without custom spreadsheets or a data team.
Upload your real estate data file and ask any market or portfolio question — average days on market, price per sqft by neighborhood, cap rate by property type — and get a direct answer in under 30 seconds.
Drop your file in and ask a question — no account needed.
Upload your spreadsheet.xlsx .xls .csv — free to try, no accountWhat this export contains
| MLS Number |
| List Date |
| Close Date |
| Days on Market |
| List Price |
| Close Price |
| Price/SqFt |
| Property Type |
| Bedrooms |
| Bathrooms |
| Neighborhood |
| Agent Name |
| Commission % |
| Cap Rate |
What makes this file hard to work with
Days on market by neighborhood requires grouping across hundreds of listings
Your MLS export has list and close dates for every property but calculating average days on market by neighborhood requires a formula column and pivot table.
DataMimi Ask 'what is average days on market by neighborhood this quarter?' and Datamimi groups by Neighborhood and averages Days on Market across all matching rows.
Price trend by property type is hard to see in raw data
The MLS export has close prices sorted by date but seeing whether 3-bed homes are appreciating faster than condos this quarter requires grouping and averaging.
DataMimi Ask 'which property type had the highest price appreciation last quarter?' and Datamimi compares close price trends by Property Type across the period.
Agent performance comparison is done informally
Knowing which agents close the most deals or at the highest list-to-close ratio requires filtering and aggregating by Agent Name across hundreds of transactions.
DataMimi Ask 'which agents have the highest list-to-close ratio this year?' and Datamimi calculates List Price vs Close Price ratio by Agent Name and ranks them.
Cap rate analysis for portfolio decisions is done in separate spreadsheets
Calculating cap rate across a portfolio of rental properties requires pulling rent income from one sheet and property value from another — done manually for each deal.
DataMimi Upload your rent roll and valuation file and ask 'what is the average cap rate by property type?' — Datamimi cross-references income and value for each property.
Common questions
What AI tool for real estate data analysis works with MLS exports?
Datamimi reads MLS CSV exports, portfolio spreadsheets, and deal pipeline files. Upload any real estate data file and ask questions about market performance, deal metrics, and agent productivity in plain English.
How much does the AI real estate data analysis tool cost?
Free: $0/month (40 credits). Lite: $9/month. Starter: $24/month (multi-file for cross-referencing rent rolls and valuations). Pro: $59/month. Team: $199/month.
Can it analyze my investment property portfolio?
Yes. Upload your portfolio spreadsheet with rent income and property values and ask questions about cap rate, cash-on-cash return, and occupancy rate across your properties.
Can multiple agents on a team use it?
Yes. On the Team plan ($199/month), up to 5 users share 20,000 credits. Each agent can analyze their own pipeline or the team can share a brokerage-wide export.
Try it with your own file
DataMimi reads the file you actually have — merged cells, headers below row one, totals pasted at the bottom — and shows which rows and columns every number came from.
Ask about your fileWhat DataMimi costs
Every plan does everything — slides, written reports, cleaned exports, dashboards. They differ in how much work they cover.
Free
Free
40 credits a month
Starter
$24 /month
1,500 credits a month
Pro
$59 /month
5,000 credits a month
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