100B+ verified data points on 250M+ US and Canadian addresses, built into your website, your tools and your AI.
Used by 12,000+ leading real estate companies




Community pages that rank, listings that answer “what’s it like to live here?” and lead capture that hands your agents first-party leads. Baird & Warner 3X’d traffic and engagement in under a year.
Used on 12,000+ leading real estate websites, including



Ship location features without building the data layer: 18 location scores, 36 POI categories, schools, market stats and climate risk on 250M+ US and Canadian addresses, by API, SDKs or MCP.
Built into portals and proptech platforms, including



In one investor’s portfolio, 48% of property value came from location. Local Logic measures it for any address, block or trade area across 250M+ US and Canadian addresses, so you can screen sites, underwrite deals and show renters why the location works.
Trusted by real estate investors, owners and operators

Rate each property for heat, fire, storm, drought, flood and wind, projected to 2050. By API or bulk file, with 100B+ data points on the location around it.
Location data used on 12,000+ websites in real estate, lending and proptech
For businesses. We don’t offer home searches or reports to individuals.



We’re not just seeing more traffic. We’re seeing better engagement, more informed buyers, and stronger leads.
Jennifer HartyDirector of Marketing, Seven Gables Real EstateWith Local Logic keeping buyers engaged with the insights they care about, we were able to turn our website into a true decision-making tool: one that delivers value for both consumers and our agents.
Dean RousoSenior Vice President of Strategic Initiatives, Baird & Warner


We’re not just seeing more traffic. We’re seeing better engagement, more informed buyers, and stronger leads.
Jennifer HartyDirector of Marketing, Seven Gables Real EstateWith Local Logic keeping buyers engaged with the insights they care about, we were able to turn our website into a true decision-making tool: one that delivers value for both consumers and our agents.
Dean RousoSenior Vice President of Strategic Initiatives, Baird & Warner


After implementing Local Logic, we saw a noticeable boost in user engagement: prospective renters were more informed, more interested, and ultimately scheduled more tours. It’s all about creating a smarter, more delightful journey with Rently.
We are very excited to partner with Local Logic to use the power of technology to bring unparalleled insights to consumers on their homebuying journey.
Benjy KatchenCEO, Wahi
We liked the level of interpretability that was given in the report. It was exactly what we were looking for.
Local Logic helps our renters better understand what daily life actually looks like in a neighborhood with its intuitive, all-in-one renter engagement solutions that are easy to implement. Instead of sending our visitors off to multiple websites, they can find all the location insights they need to make confident, informed decisions for their next move on vadapm.com.
Home consumers want to know what life is like outside the four walls before they talk to anyone. Give them that on your own site, then capture the lead when they’re ready.
Every listing, report and client conversation gets the same specific local answers: the commute, nearby schools and parks, how busy the street is. Your whole team sounds like the local expert, in every market.
Clean, normalized location data that augments your own records, for underwriting, site selection, search and AI training. You skip sourcing and maintaining 3,000+ datasets yourself.
The Local Logic MCP gives your AI, your developers and your products every Local Logic dataset through one connection. More people can use our data, in more places and more ways.
“Jamaica Plain Community Charter School is a popular choice, with a diverse learning environment and strong curriculum.”
✗ WrongNo school by that name exists, in Local Logic’s school data or anywhere else. The model made it up.
✓ VerifiedFrom Local Logic’s with-vs-without-MCP testing, 2026
Someone still choosing a neighborhood isn’t always ready to call an agent. Community pages bring them in from search, lifestyle search keeps them exploring, and a free neighborhood report gets them to raise their hand.
No agent knows every street in every market. Local Logic puts the same specific answers on every listing and in every report, across every office and every agent.
AI assistants answer neighborhood questions with confidence, and often get them wrong. The Local Logic MCP connects your assistant, your website and your agents’ tools to verified local data.
Works with Claude, Cursor, VS Code and your own product. Read-only, never trains on your queries.
“P.S. 84 (Lillian Weber) is one of the stronger zoned elementary schools in Williamsburg.”
✗ WrongP.S. 84 isn’t in Williamsburg. It’s an Upper West Side school in Manhattan.
✓ VerifiedFrom Local Logic’s with-vs-without-MCP testing, 2026
Skip sourcing, cleaning, and maintaining 3,000+ datasets. One source gives you the location layer behind your search, recommendations, pricing models, and AI features.
Embeddable search, listing and neighborhood components styled to your brand. Your team ships the experience and skips the data work.
Language models make up neighborhood facts. The Local Logic MCP gives your models and agents every Local Logic dataset through one connection, with sourced answers and an honest “no data” at the edge of coverage.
“Fishtown wins on dining and nightlife energy.”
✗ WrongNorthern Liberties scores higher on restaurants (9.6 vs 9.0), nightlife (9.5 vs 9.3) and cafés (10 vs 9.4), on Local Logic’s 0 to 10 scale.
✓ VerifiedFrom Local Logic’s with-vs-without-MCP testing, 2026
Turn “good location” into numbers you can compare across markets and defend to an investment committee. Join it to your own pipeline, comps and portfolio data.
Renters choose the neighborhood before the floor plan. Put commute times, walkability, transit and nearby amenities on every property and unit page. Prospects tour with intent, and your leasing team stops answering the same neighborhood questions.
Analysts and internal AI tools query every Local Logic dataset through one connection, and get sourced answers instead of guesses.
Works with Claude, Cursor, VS Code and your own product. Read-only, never trains on your queries.
“Typically $600,000 to over $1 million.”
✗ WrongThe median sold price for a 3-bedroom single-family home is $1,350,000 (middle half: $1.19M to $1.63M).
✓ VerifiedFrom Local Logic’s with-vs-without-MCP testing, 2026
Granular, normalized location data for underwriting, site selection, search experiences and AI training.
100B+ data points across the US and Canada
The Local Logic MCP gives your AI, your developers and your products every Local Logic dataset through one connection. More people can use our data, in more places and more ways.
Works with Claude, Cursor, VS Code and your own product. Read-only, never trains on your queries.
“Very high, well above the city average: over $100,000.”
✗ WrongThe median household income is about $81,000. Above the NYC median, but not over $100,000.
✓ VerifiedFrom Local Logic’s with-vs-without-MCP testing, 2026
Businesses that put location information in front of their customers or into their decisions: brokerages and teams, portals and proptech platforms, lenders, commercial real estate and multifamily firms, and product teams building with AI. We don’t sell home searches, reports or leads to individuals.
However your team prefers to build. Embed ready-made components on your website or app, call the REST API, take a bulk file for your own models, or connect your AI tools through the MCP. Many brokerages go live through their website vendor: Delta Media Group, Solid Earth and Union Street Media all ship Local Logic. Tell us your setup on the demo and we’ll map the path.
Public sources, licensed partners and our own collection: 100B+ data points from 3,000+ datasets, across 250M+ US and Canadian addresses. Each of our 18 location scores runs from 0 to 10 and rates a single characteristic, like walkability or how quiet the street is. Modeled values pass confidence checks, so an estimate in a data-sparse area is never shown as an observed fact.
Free scores usually lay a grid over a city, with cells often hundreds of meters across. Local Logic computes scores at roughly the resolution of a single building, so two homes on different sides of a busy street get different answers.
Every address in the US and Canada. Location scores, points of interest, schools and Lifestyle Reports cover both countries. Market stats and Market Reports are US only.
Local Logic measures places, not people. Walkability, noise, transit, nearby services and green space are measured and scored, so you can describe a neighborhood with facts instead of subjective characterizations that create Fair Housing exposure.
It depends on what you use and how much: the products, the number of listings, users or API calls, and your markets. On the demo, we’ll scope it to your use case and give you pricing and a setup plan.
It’s a hosted connection that gives your AI tools and products our verified location data through 24 read-only tools. It works with Claude, Cursor, VS Code, the OpenAI and Anthropic APIs, and any MCP-compatible client. It can’t create, change or delete anything, it never trains on your queries, and it exposes measured attributes only, with no protected-class fields.
Pick a time and we’ll walk through Local Logic on addresses in your own market.
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