SFR Analytics
SFR Analytics provides a deed-backed data platform covering 600M+ transactions, 2.5M+ investors, and 40K+ private lenders for the single-family residential investment and private lending market, delivered through four SaaS products targeting lenders, wholesalers, data teams, and AI researchers.
- Company typePrivate
- Founded2021
- HeadquartersPalo Alto, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What SFR Analytics does
SFR Analytics is a Palo Alto-based data and software company founded in 2021 that provides real estate intelligence for the single-family residential (SFR) investment and private lending market. The company aggregates county filings, entity records, mortgage data, assessor records, and rental signals into a deed-backed dataset covering 600M+ transactions, 2.5M+ tracked investors, and 40K+ private lenders across all 50 US states. Entity resolution and contact-enrichment logic layer on top of the raw records to produce investor profiles, lender market share, and borrower movement signals.
The platform is delivered through four products. Private Lender Radar is the core SaaS offering, providing borrower pipeline generation, deal verification, loan timing data, and contact-enriched outreach lists for private lender growth teams. Investor Edge is a self-serve active buyer discovery platform for wholesalers and investors, accessible via a free trial. Data & API exposes the underlying dataset through bulk files, recurring feeds, and API access for data and product teams building internal models or products. MCP Server offers 77+ AI-ready research and analysis tools compatible with the Model Context Protocol, allowing AI assistants to query market, property, buyer, borrower, and lender data.
The business model is subscription SaaS with quote-based pricing across all four products and a hybrid go-to-market combining sales-assisted demos for enterprise lender accounts with self-serve trials for SMB investors and AI researchers. Customer segments include private lenders, wholesalers and real estate investors, data and product teams, and AI-enabled research teams. Marketing is driven by SEO-optimized state and metro investor directories, a newsletter, and research content. The company is privately held with 1–10 employees, co-founded by Phil Glazer and Glenn Hull (CEO), and appears to operate without disclosed institutional funding or parent company.
SFR Analytics firmographics
Firmographics- Name
- SFR Analytics
- Legal name
- SFR Analytics
- Website
- https://sfranalytics.com
- Company type
- Private
- Founded year
- 2021
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- SFR Analytics provides a deed-backed data platform covering 600M+ transactions, 2.5M+ investors, and 40K+ private lenders for the single-family residential investment and private lending market, delivered through four SaaS products targeting lenders, wholesalers, data teams, and AI researchers.
- Ownership category
- akta.pro rank
SFR Analytics industry classification
Industry- Product category
- Real Estate Data & Lending Intelligence Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Marketing Research and Public Opinion Polling (541910)
- SIC
- Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Automated Valuation Models (AVM) & Property Data/Analytics (FSALALAJ)
- akta.pro secondary industries
- Mortgage Secondary Data, Analytics & Pricing/Valuation Services (FSALAFAN), Real Estate Market Research & Economic Advisory (Demand/Supply, Location Analytics) (BPAJANAD), Collateral, Lien & Asset Valuation Platforms (Auto, Equipment, Real Estate) (FSAGAHAG)
Keywords
Where SFR Analytics is headquartered
LocationHeadquarters
- HQ city
- Palo Alto
- HQ country
- United States
- HQ region
- North America
Markets served
SFR Analytics business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations
Revenue model
- Private Lender Radar Subscription: SaaS platform providing borrower pipeline generation, verification signals, loan timing data, and contact-enriched outreach lists for private lender growth teams. Sold via demo and subscription.
- Investor Edge Subscription: Active buyer discovery platform for wholesalers and investors providing buyer profiles, market views, and buyer-list workflows for deal placement.
- Data & API Access: Bulk files, recurring data feeds, and API access for property, transaction, investor, lending, and rental signals. Custom datasets and delivery options for internal analytics.
- MCP Server Access: AI research tools accessible via MCP integration with AI tools for structured real estate questions and analysis workflows.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Private Lender Radar - Enterprise tier |
| Subscription | Annual | Investor Edge - Self-serve trial available |
| Subscription | Annual | Data & API - Custom enterprise plans |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels5 records
SFR Analytics product offering
Product offeringCore offering
SFR Analytics operates a deed-backed real estate data platform that aggregates county filings, entity records, mortgage data, assessor records, and rental signals to track investor and lender activity for the single-family residential market. It sells subscription access to its data via the Private Lender Radar product (borrower pipeline generation for private lenders), Investor Edge (active buyer discovery for wholesalers and investors), Data & API (bulk data and programmatic access), and MCP Server (AI-compatible research tools). Customers use the platform to source borrower prospects, verify deal activity, find active buyers, and power internal analytics and AI workflows.
Product overview
SFR Analytics offers a multi-product platform for single-family residential real estate data and lending intelligence. The suite includes Private Lender Radar (for generating borrower pipeline and verifying deal activity), Investor Edge (for finding active buyers for wholesale deals), Data & API (for bulk data delivery and API access), and MCP Server (for AI-enabled research workflows using Model Context Protocol). The products share a common data layer covering 2.5M+ tracked investors, 600M+ transactions, and 40K+ private lenders.
Differentiator
Problem solved
Functional benefit
Brands
- Private Lender Radar: Borrower pipeline generation tool for private lenders to find and verify borrower prospects, analyze loan timing, and access lender relationships.
- Investor Edge
- Data & API
- MCP Server
Products and services
- Private Lender Radar Borrower pipeline generation platform for private lender growth teams that uses county filings, entity records, borrower history, and lender relationships to surface borrower prospects, verify deal activity, and prioritize outreach. Designed for private (non-bank) real estate lenders that need borrower verification, loan timing, competitor lender relationships, and contact-enriched outreach data.
- Investor Edge Active buyer discovery platform for wholesalers and real estate investors to find active buyers for wholesale deals, dispositions, acquisitions, and market research. Provides buyer profiles, portfolio activity, market views by ZIP code and metro, and buyer-list workflows for deal placement, with self-serve trial access via the web application.
- Data & API Bulk data file and API access product for data and product teams building their own models, dashboards, and products. Provides custom datasets and delivery options including property, transaction, investor, lending, and rental signals for internal analytics, enrichment, and scoring workflows.
- MCP Server AI research server exposing 77+ tools for asking market, property, buyer, borrower, and lender questions from MCP-compatible AI tools. Provides fast first-pass market questions and structured real estate research alongside dashboards and data feeds, available with a free access tier.
Quantifiable outcome
- 2.5M+ investors tracked with deed-backed signals
- +3 more outcomes
Companies that use SFR Analytics
Customer profileNamed customers7 records
Segments4 records
Ideal customer profiles4 records
SFR Analytics technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration1 record
AI capability4 records
Feature6 records
SFR Analytics partnerships and signals
Strategic signalScale indicators5 records
Recent moves6 records
Expansion highlights5 records
SFR Analytics competitors and assessment
Company assessmentDirect peers
- ATTOM Data Solutions: ATTOM provides nationwide property data, analytics, and APIs covering deeds, mortgages, assessor records, and ownership information. Most directly comparable to SFR Analytics' core property and transaction dataset, with similar data sources and overlapping customer use cases in real estate investment and lending.
- HouseCanary: Provides residential property analytics, valuations, and market intelligence to investors, lenders, and institutions. Comparable to SFR Analytics in serving investor and lender customers with property and market data, though HouseCanary emphasizes AVMs and valuations while SFR Analytics emphasizes investor/lender pipeline.
Broad incumbents
- CoreLogic: One of the largest property data, analytics, and platform providers in the US, serving mortgage, real estate, and capital markets participants. Overlaps with SFR Analytics across property records, mortgage data, and analytics, but operates at much larger scale across many real estate verticals beyond SFR investors.
- PropMix (now part of CoreLogic): AI-powered property analytics and valuation platform for real estate professionals. Comparable to SFR Analytics in providing AI-enhanced property analytics and investor workflows, though now absorbed within CoreLogic's broader portfolio.
- Reonomy: Commercial and residential property intelligence platform aggregating off-market data, ownership, and transaction records. Comparable to SFR Analytics in data aggregation approach and CRE/SFR crossover, though broader across commercial and residential.
- Zillow: Largest consumer-facing residential real estate platform with extensive property data, Zestimates (AVMs), and investor-facing tools. Overlaps with SFR Analytics on nationwide property data and investor analytics but at vastly larger scale and primarily consumer-oriented.
Emerging players
- Mashvisor: Real estate investment analytics platform focused on rental property analysis, market data, and investor workflows. Comparable to SFR Analytics' Investor Edge product with similar investor-targeted analytics, though narrower in dataset and product scope.
- BatchLeads: Provides lead generation, skip tracing, and contact-enrichment data for real estate investors and wholesalers. Comparable to SFR Analytics in serving the investor/wholesaler segment with contact data and pipeline tools, but focuses on outbound prospecting rather than investor/lender intelligence.
- Realeflow: All-in-one software platform for real estate investors offering lead lists, comps, marketing, and deal management. Comparable to SFR Analytics in targeting flippers and wholesalers with data-driven deal sourcing, though broader in feature scope beyond pure data and analytics.
- DealMachine: Real estate investor platform combining driving-for-dollars mobile tools with skip tracing, lists, and contact data. Comparable to SFR Analytics in serving flippers and investors with property and contact data, though differentiated by mobile-first prospecting workflow.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
SFR Analytics social profiles
Digital presenceSFR Analytics financial estimates
Financial estimateRevenue estimate
Valuation estimate
SFR Analytics leadership team
Management profileNumber of profiles
Profiles2 records
SFR Analytics funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
SFR Analytics M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about SFR Analytics
What does SFR Analytics do?
SFR Analytics operates a deed-backed real estate data platform that aggregates county filings, entity records, mortgage data, assessor records, and rental signals to track investor and lender activity for the single-family residential market. It sells subscription access to its data via the Private Lender Radar product (borrower pipeline generation for private lenders), Investor Edge (active buyer discovery for wholesalers and investors), Data & API (bulk data and programmatic access), and MCP Server (AI-compatible research tools). Customers use the platform to source borrower prospects, verify deal activity, find active buyers, and power internal analytics and AI workflows.
Is SFR Analytics a public or private company?
SFR Analytics is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was SFR Analytics founded?
SFR Analytics was founded in 2021. It employs 1 to 10 people.
Where is SFR Analytics based?
SFR Analytics is headquartered in Palo Alto, United States, in the North America region.
How does SFR Analytics make money?
Four revenue lines are on record. Private Lender Radar Subscription is the primary driver. The others are investor Edge Subscription, data & API Access and MCP Server Access.
Who are SFR Analytics's main competitors?
Direct peers on record are ATTOM Data Solutions and HouseCanary. Broad incumbents are CoreLogic, PropMix (now part of CoreLogic), Reonomy and Zillow. Emerging players are Mashvisor, BatchLeads, Realeflow and DealMachine.
Does SFR Analytics have an API?
Yes. SFR Analytics provides API access for teams building their own models, dashboards, and products. The Data & API product offers custom datasets and delivery options including property, transaction, investor, lending, and rental signals. Coverage supports data enrichment, scoring, and internal analytics workflows. API access is available through request/inquiry form. Developer documentation is at sfranalytics.com/products/api.
What industry is SFR Analytics in?
SFR Analytics's product category is Real Estate Data & Lending Intelligence Software. Its primary akta.pro industry code is FSALALAJ, Automated Valuation Models (AVM) & Property Data/Analytics, with a secondary code of FSALAFAN, Mortgage Secondary Data, Analytics & Pricing/Valuation Services. Its NAICS code is 5182 and its SIC code is 7374.