RealEstateAPI vs. HouseCanary
While both platforms offer property data and automated valuations (AVM), they're built for fundamentally different use cases. If you're building software, underwriting portfolios, or analyzing thousands of properties — the differences compound fast at scale.
RealEstateAPI
⭐ 4.9/5 on G2
Flat tier pricing (predictable costs)
Built for scale — thousands to millions of API calls
HouseCanary
Per-call pricing ($0.05-$6/call)
Costs scale linearly
Best for one-off reports
Composable Data vs. Curated Reports
- What is this property worth right now, based on real transactions and comps?
- "What is true about this property and this property owner today?"
- "What actually happened historically?"
- Clean records: ownership, liens, transactions, comps, geography
- Highly expressive APIs built to be queried, and reasoned over
- "What is this property worth?"
- "Where might prices go?"
- Insights distilled into reports and forecasts
- High intellectual value, low composability
"We're not in the business of predicting the future.
We're in the business of making the facts on the ground easy to access."
The numbers that matter
Real-world scenarios. Real cost comparisons. See why teams switch when they move from demos to production.
(Teams that switch rate RealEstateAPI higher for support and reliability— 4.9★ vs 4.5★ on 
)
PropTech Product at Scale (100K+ API calls/month)
Typical Workflow: CRM, marketplace, or lead gen tool
(illustrative)- Basic + Premium endpoint mix
- Every user action = billable API call
- 1 property detail ($4) + 1 AVM ($0.05) + 1 comp query ($2.50) = $6.55 per property
- 15K properties/month = $98K/month
- Cost anxiety limits product features
- Pro tier: $2,500/mo (400K records included)
- All endpoints at same price
- Bolt on comprehensive AVMs for add'l $1,000
- Build complex workflows without usage anxiety
Fixed cost, unlimited scale potential
HouseCanary reports aren't expensive when used one at a time.
Costs can explode when many users generate them independently, in real time.
Portfolio Monitoring (10,000 properties)
Typical Workflow
(illustrative)- Premium / Premium Plus endpoints
- ~$2.50–$6.00 per successful call
- Monthly cost: $50k to $100k+
- Cost grows linearly with every additional property
- Flat subscription tier
- Hundreds of thousands of records included
- Counts and summaries included
- Monthly cost: predictable, fixed
Fixed cost, unlimited scale potential
What teams discover in production
HouseCanary feels inexpensive when you're buying individual reports.
It becomes expensive when you're monitoring across properties over time.
Costs are often 10–50× higher in production than teams expect, and workflows begin to fight the platform's report-centric design.
Underwriting at Scale (Fintech / AI)
Typical Workflow
- Many exploratory calls are billable
- Counts often cost real money
- Iteration is expensive
- Counts are free
- Compound queries encouraged
- Designed for exploratory analysis
What matters when choosing a real estate data platform?
There are numerous data platforms on the market today available at different price points, offering businesses a wide range of capabilities. But which is the right platform for your business? Let's go over some of the factors you should be evaluating.
For many workflows, property data alone isn't enough. Understanding ownership and contactability is the key to monetizing your analysis. RealEstateAPI provides best in class skip tracing APIs.
House Canary users have to stitch together multiple vendors, schemas, and contracts.
Who Each Platform Is For
Self-select in seconds. Which workflow matches yours?
- Want a small number of prebuilt valuation or AVM reports
- Prefer UI-first workflows over APIs
- Value forecasting and predictions over raw records
- Are an agent, appraiser, or analyst working deal-by-deal
HouseCanary excels at packaging insight for human consumption.
- Are building software (proptech, fintech, AI agents)
- Underwrite or monitor large property portfolios
- Need current state + historical truth, not predictions
- Care about latency, throughput, and predictable unit economics
RealEstateAPI exists to be infrastructure — not an interface.
What We Don't Offer
(And Why That's a Feature)
We don't sell price predictions — because you need data you can audit, not models you have to trust
We don't package opinions as truth — because your competitive advantage comes from your analysis, not ours
We don't build interfaces — because you're building your own product
Our job is to ensure that every decision is grounded in reality, not black-box forecasts.