Location data for businesses · US & Canada

Location intelligence that improves real estate decisions.

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

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For residential brokerages and teams

Buyers pick the neighborhood first. Win them on your site.

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

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For portals, proptech and AI product teams

Your users are choosing a neighborhood. Give them the data to choose.

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

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For commercial real estate, multifamily and investors

Underwrite the block, not just the building.

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

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For lenders, insurers and risk teams

Your book is rated by region. Your risk is by address.

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

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For businesses. We don’t offer home searches or reports to individuals.

Results

What customers see after launch.

+43%more leads
Royal LePage, within two years of launch
2xthe industry conversion rate
Vistoo, 3.5% vs the 1.7% average
+224%organic traffic
Seven Gables, year over year
5xfewer hallucinations on cheaper AI models
Local Logic MCP study, July 2026 · 7 models · 490 questions
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 Estate
With 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
Results

What brokerages see after launch.

+43%more leads
Royal LePage, within two years of launch
+75%increase in engagement rate
Seven Gables, average MoM
+216%organic search traffic
Baird & Warner, on listing pages
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 Estate
With 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
Results

What platforms see after launch.

2xthe industry conversion rate
Vistoo, 3.5% vs the 1.7% average
5xstickiness
Wahi, for users engaging with school data
4xmore touchpoints
Solid Earth, vs any other listing component
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.
Jared EastVP of Product, 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
Results

Where location data changed the decision.

48%of property value tied to location
SFR investor, 3,500-property portfolio
$14,072price gap between two otherwise identical homes
Explained by location alone, same portfolio analysis
$2Bhospital project re-evaluated
Gatineau site analysis for IDU Québec
We liked the level of interpretability that was given in the report. It was exactly what we were looking for.
SFR investor3,500-property portfolio
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.
Neil McGuinnessChief Marketing Officer, VADA Property Management
What you get

Measured data for every address in your book.

6climate perils rated per address
Heat, fire, storm, drought, flood and wind, projected to 2050
250M+US and Canadian addresses
Scores, schools, demographics and market data for each
0crime or protected-class fields
Measured attributes only, built with fair lending in mind
What you can do

One data layer. Four ways to use it.

ENGAGE · For websites and apps

Turn website visitors into leads

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.

  • Community Pages: a page for every neighborhood you serve, built to rank on Google and in AI search
  • Lifestyle Search: let people search homes by how they want to live, not just beds and baths
  • Lead Capture: offer a market or lifestyle report in exchange for a first-party lead you own
INFORM · For agents, loan officers and client teams

Answer “what’s it like to live here?”

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.

  • Listing Experience: 18 location scores, nearby schools and amenities on every listing page
  • Neighborhood Reports: branded Lifestyle and Market Reports anyone on your team can send in 2 minutes
ENRICH · For data, product and AI teams

Add location data to your models and products

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 data: 18 location scores, 36 POI categories, demographics, schools, market stats and climate risk
  • Any geography: address, block, neighborhood, metro or a boundary you draw, across 250M+ US and Canadian addresses
  • Your format: REST API, bulk file, custom extract or the Local Logic MCP
NEW · MCP

Ground your AI

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.

  • Agent local-expert assistant: Instant, defensible local expertise for every agent: real school ratings, live prices and neighborhoods that are actually comparable.
  • Conversational neighborhood search: Buyers ask in plain language and get accurate, specific answers on your own page, so they stay and engage more listings.
  • No more made-up local facts: Your model cites real places and transit, and returns an honest “no data” at the edge of coverage.
AskedAre the schools near Jamaica Plain in Boston any good?
A leading AI model, without Local Logic

“Jamaica Plain Community Charter School is a popular choice, with a diverse learning environment and strong curriculum.”

✗ Wrong
With Local Logic data

No school by that name exists, in Local Logic’s school data or anywhere else. The model made it up.

✓ Verified
2.3xmore verified facts per answer
Up to 97.8%claim accuracy
24read-only tools

From Local Logic’s with-vs-without-MCP testing, 2026

What you can do

Three ways to grow from your website.

ENGAGE · For your website

Turn your website into a lead source

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.

  • Community Pages: a page for every neighborhood you serve, built to rank on Google and in AI search
  • Lifestyle Search: buyers search by commute, walkability and nearby parks, not just beds and baths
  • Lead Capture: a lifestyle or market report in exchange for a first-party lead that goes straight to your agents
INFORM · For your agents

Make every agent the local expert

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.

  • Listing Experience: 18 location scores, nearby schools and amenities on every listing page
  • Neighborhood Reports: branded Lifestyle and Market Reports any agent can send in 2 minutes
NEW · MCP · For your AI tools

Give your agents AI that gets local facts right

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.

  • Agent local-expert assistant: real school ratings, live prices and comparable neighborhoods, sourced and ready in seconds
  • Conversational neighborhood search: buyers ask in plain language on your site and get specific answers, so they stay and keep browsing listings

Works with Claude, Cursor, VS Code and your own product. Read-only, never trains on your queries.

AskedWhat are the top schools near Williamsburg in Brooklyn?
A leading AI model, without Local Logic

“P.S. 84 (Lillian Weber) is one of the stronger zoned elementary schools in Williamsburg.”

✗ Wrong
With Local Logic data

P.S. 84 isn’t in Williamsburg. It’s an Upper West Side school in Manhattan.

✓ Verified
2.3xmore verified facts per answer
97.8%claim accuracy at best
24read-only tools

From Local Logic’s with-vs-without-MCP testing, 2026

What you can do

Three ways to build with Local Logic.

ENRICH · APIs and bulk data

Build on clean, normalized location data

Skip sourcing, cleaning, and maintaining 3,000+ datasets. One source gives you the location layer behind your search, recommendations, pricing models, and AI features.

  • The data: 18 location scores, 36 POI categories, demographics, schools, market stats and climate risk
  • Any geography: address, block, neighborhood, metro or your own boundary, across 250M+ addresses
  • Your format: REST API, bulk file, custom extract, or MCP
ENGAGE · Ready-made components

Add neighborhood context without building it

Embeddable search, listing and neighborhood components styled to your brand. Your team ships the experience and skips the data work.

  • Lifestyle Search: users filter and rank homes by commute, walkability and nearby amenities
  • Listing Experience: 18 location scores, nearby schools and amenities on every listing
  • Community Pages: a page for every neighborhood, built to rank on Google and in AI search
NEW · MCP · For AI product teams

Ground your AI in real local data

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.

  • Conversational neighborhood search: users ask in plain language on your platform and get specific, accurate answers
  • Fits your stack: 24 read-only tools that work with Claude, Cursor, VS Code, the OpenAI and Anthropic APIs, and any MCP client
AskedFishtown or Northern Liberties in Philadelphia: which has better dining and nightlife?
A leading AI model, without Local Logic

“Fishtown wins on dining and nightlife energy.”

✗ Wrong
With Local Logic data

Northern 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.

✓ Verified
2.3xmore verified facts per answer
97.8%claim accuracy at best
24read-only tools

From Local Logic’s with-vs-without-MCP testing, 2026

What you can do

From site selection to signed lease.

ENRICH · For acquisitions, underwriting and research

Screen sites and underwrite deals on measured location data

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.

  • The data: 18 location scores, 36 POI categories, schools, market stats, climate risk and demographics
  • Portfolio analysis: find which location features drive price in your market, and price a target against its comps
  • Any geography, any format: address, block, neighborhood, metro or your own trade area, by REST API, bulk file or custom extract
ENGAGE · For multifamily operators and leasing teams

Show renters why the location works

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.

  • Community Pages: a page for the neighborhood around every asset, built to rank on Google and in AI search
  • Listing Experience: 18 location scores and nearby amenities on every unit page
  • Lifestyle Search: renters search by commute and the amenities they care about, not just rent and bedrooms
NEW · MCP · For research, data and AI teams

Ask your location questions in plain language

Analysts and internal AI tools query every Local Logic dataset through one connection, and get sourced answers instead of guesses.

  • Site selection and screening: compare locations on measured walkability, real nearby businesses and transit access
  • No more made-up local facts: your model cites real places and transit, and returns an honest “no data” at the edge of coverage

Works with Claude, Cursor, VS Code and your own product. Read-only, never trains on your queries.

AskedWhat does a 3-bedroom single-family home cost in Wicker Park, Chicago?
A leading AI model, without Local Logic

“Typically $600,000 to over $1 million.”

✗ Wrong
With Local Logic data

The median sold price for a 3-bedroom single-family home is $1,350,000 (middle half: $1.19M to $1.63M).

✓ Verified
2.3xmore verified facts per answer
Up to 97.8%claim accuracy
24read-only tools

From Local Logic’s with-vs-without-MCP testing, 2026

What you can do

Two ways to put location data to work.

ENRICH

Enrich your data

Granular, normalized location data for underwriting, site selection, search experiences and AI training.

  • Climate risk: heat, fire, storm, drought, flood and wind for each address, projected to 2050
  • Your whole book: rate every property by API or bulk file, not a handful of postal codes
  • The location around it: scores, demographics and market data for the same addresses

100B+ data points across the US and Canada

NEW · MCP

Ground your AI

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.

  • Location context for lending: Objective market and location context for borrower and loan-officer tools. No crime data, no protected-class fields.
  • No more made-up local facts: Your model cites real places and transit, and returns an honest “no data” at the edge of coverage.

Works with Claude, Cursor, VS Code and your own product. Read-only, never trains on your queries.

AskedWhat’s the median household income in Williamsburg, Brooklyn?
A leading AI model, without Local Logic

“Very high, well above the city average: over $100,000.”

✗ Wrong
With Local Logic data

The median household income is about $81,000. Above the NYC median, but not over $100,000.

✓ Verified
2.3xmore verified facts per answer
97.8%claim accuracy at best
24read-only tools

From Local Logic’s with-vs-without-MCP testing, 2026

FAQ

Questions buyers ask before the demo.

Who is Local Logic for?

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.

How does it fit into what we already have?

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.

Where does the data come from, and how accurate is it?

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.

Why not use a free score or map API?

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.

Which markets do you cover?

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.

Is the data Fair Housing compliant?

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.

How is Local Logic priced?

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.

What is the Local Logic MCP, and is it secure?

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.

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Book a demo

See it on your own market.

  • A 30-minute call about your website, product or data needs.
  • Your own market: real scores, reports and data on addresses you choose.
  • Pricing for your size and use case, plus a setup plan.

Book a 30-minute consultation

Pick a time and we’ll walk through Local Logic on addresses in your own market.

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