PropTechUSA.ai
Buyer's Guide · Real Estate Data APIs · 2026
PropData vs CoreLogic vs ATTOM vs RentCast

Four real estate data APIs. One honest comparison.

We're going to tell you when to use us — and when to use someone else. Because if PropData isn't the right fit for what you're building, the worst thing we can do is sell you something that won't work.

// AUTHOR · Justin Erickson
// READ · 11 min
// LAST UPDATED · April 2026
RECOMMENDED
PropData
// PropTechUSA.ai
$49/mo
flat · all endpoints · free tier available
For developers and operators building modern real estate tools at startup speed.
RentCast
// API-first rent lookup
$49+/mo
tiered by call volume · per-call charges
For quick rent comp lookups when that's all you need.
ATTOM Data
// Enterprise data licensor
$500+/mo
contract-based · sales call required
For enterprise teams with procurement budgets and bulk needs.
CoreLogic
// Institutional data giant
$1K+/mo
enterprise contract · multi-year terms
For lenders, GSEs, and Fortune 500 institutions.
SECTION 01 · TL;DR

The 30-second answer.

You're evaluating real estate data APIs because you're building something — a rental pricing tool, an investment screener, an AI agent, a market dashboard, a compliance app. You don't have time to sit through a CoreLogic sales call to find out their MQL form requires a procurement department to fill out.

Here's the honest summary, in order of how most builders should think about it:

  1. RentCast is a clean rent-lookup API. Use it if all you need is rent comps and you don't care about market data, owner records, or macro context.
  2. PropData is the broadest, lowest-cost API that includes county assessor records, rent trends, market velocity, FEMA risk data, mortgage rates, and computed investor signals. Use it if you're building a real product that needs more than rent.
  3. ATTOM Data is what you license when your bulk volume justifies an enterprise contract and your procurement team can handle a multi-step purchase.
  4. CoreLogic is what mortgage lenders, GSEs, and Fortune 500 real estate institutions buy because their compliance, risk, and underwriting workflows depend on it.

If your product fits the first or second category — and most do — keep reading. We'll show you why and when each makes sense.

SECTION 02 · CONTEXT

Where each one comes from.

Understanding what these tools are built for matters more than comparing feature checkboxes. Each was designed for a different audience.

CoreLogic — the original institutional giant

CoreLogic is a publicly traded company (now privately held by Stone Point Capital and Insight Partners) that started as a spinoff from First American. They serve mortgage lenders, ratings agencies, government-sponsored enterprises like Fannie Mae, and Wall Street risk teams. Their data is used to make billion-dollar lending decisions. The pricing reflects that.

If you're underwriting MBS or running a mortgage servicing operation, CoreLogic is correct. If you're building a B2B SaaS product, you're vastly overbuying.

ATTOM Data — the licensable enterprise alternative

ATTOM positions itself as a more accessible enterprise data source than CoreLogic. They license bulk property data — owner names, deeds, mortgage records, foreclosure data — to companies that resell it inside their own products. If you've ever used a property data feature on a real estate site, there's a real chance ATTOM is upstream.

ATTOM is great for what it is. The challenge is the procurement model: contracts, account managers, custom data packages, sales cycles measured in weeks. Builders who want to ship something this afternoon often hit a wall.

RentCast — the modern API for rent comps

RentCast was built for a real gap: rental investors and landlord software needed clean rent data without enterprise contracts. It does that well. The data is solid, the docs are clean, the pricing is transparent.

The limitation is scope. RentCast is a rent-comp tool. It doesn't include county assessor records, FEMA risk, FRED macro data, days-on-market, sale-to-list ratios, or affordability metrics. If you need any of that, you're either licensing a second API or building two integrations.

PropData — what we built

We built PropData because we needed all of it in one place — owner records, rent trends, market velocity, macro rates, FEMA risk, demographics, comps — and we weren't going to spend $1,000+/month or sit through enterprise sales calls to get it.

Sixteen live data sources, one endpoint, $49/month flat. Free tier with no credit card. No per-call fees, no procurement, no NDAs to sign.

// WHY THIS MATTERS

The right API for you isn't the most expensive or the cheapest. It's the one whose audience matches what you're building. A wholesale lender needs CoreLogic. A landlord pricing app needs RentCast or PropData. An investor screener needs PropData. A bulk title research firm needs ATTOM. Match the tool to the job.

SECTION 03 · FEATURE TABLE

Side-by-side.

// Feature parity check. Pricing, data depth, refresh rates, what's actually in the box.

Feature PropData RentCast ATTOM CoreLogic
// PRICING & ACCESS
Starting price $49/mo flat $49+/mo tiered $500+/mo $1,000+/mo
Free tier (no credit card)
No per-call fees, ever
Sign up & start in < 1 minute
Sales call required
// CORE PROPERTY DATA
County assessor records 166M+ Own pipeline Licensed Licensed
Owner name + mailing address
Last sale price + date
Comparable sales engine $2K+/mo addon $2K+/mo addon
Refresh cadence Nightly Monthly Monthly Quarterly
// MARKET DATA
Rent by bedroom (HUD FMR)
Median asking rent (Zillow ZORI)
Days on market + inventory
Sale-to-list ratio
Home price appreciation (FHFA)
// MACRO + RISK DATA
Live mortgage rates (FRED) Exclusive
Affordability data (Census ACS)
FEMA risk index (18 hazards) Exclusive
FEMA flood zone per property Addon Addon
Community Safety Score (A–F) Exclusive
// DEVELOPER EXPERIENCE
One endpoint, all data merged
Computed investor signals Exclusive
AI market analysis built in Exclusive
Edge latency < 50ms global ~200ms Variable Variable
Cancel anytime, no contracts
SECTION 04 · COST

What you'll actually pay.

Pricing pages are nice. Real cost is what shows up on your invoice when you hit production volume.

Here's a side-by-side at three usage levels. These are real published rates as of April 2026, normalized to monthly cost. Enterprise rates for ATTOM and CoreLogic are based on publicly available case studies and reseller pricing; exact contracts vary.

// 1,000 API calls / month

STARTUP TIER · early product
PropData
flat
$49
RentCast
tiered
$49
ATTOM
contract
$500
CoreLogic
enterprise
$1,000+

// 10,000 API calls / month

GROWTH TIER · scaling SaaS
PropData
flat
$49
RentCast
per-call
$100–500
ATTOM
contract
$500+
CoreLogic
enterprise
$1,000+

// 100,000 API calls / month

SCALE TIER · production product
PropData
flat
$49
RentCast
per-call
$1,500+
ATTOM
bulk tier
$1,200+
CoreLogic
enterprise
$2,500+
// At 100K calls/mo, PropData is ~98% cheaper than CoreLogic and ~96% cheaper than RentCast — and you're getting more data sources, not fewer.

The flat-rate pricing isn't a gimmick. It's structural: PropData runs on Cloudflare Workers with KV edge caching, and the cost of serving a cached response is effectively zero. We don't have to charge per call because we don't pay per call. Most of our infrastructure cost is fixed, so we pass that to you as a fixed price.

Per-call pricing only makes sense for vendors whose backend cost scales with each request. Ours doesn't.

SECTION 05 · WHO USES WHAT

Which one to actually pick.

Forget feature checkboxes for a second. Here's the actual decision tree.

// PICK PROPDATA IF
You're building a real estate product.
SaaS, AI agents, investor screeners, market dashboards, landlord tools, lead gen platforms, listing engines. You need rent data AND market velocity AND owner records AND macro context — in one call, at one price, with no procurement.
Examples: rental pricing tools · investment screeners · AI market agents · neighborhood report apps · skip trace tools
// PICK RENTCAST IF
You only need rent comps, nothing else.
You're building a single-purpose rent estimation tool and you don't care about owner records, market velocity, FEMA risk, or any other data. RentCast does rent well and does it cleanly.
Examples: simple rent-comp widgets · landlord rent benchmarking · listing platforms doing rent display only
// PICK ATTOM IF
You're licensing bulk data into a product.
You need millions of records loaded into your own database, not API-by-API access. You have a procurement team, your buyer contracts in 6-figure deals, and you're building or running an enterprise property platform.
Examples: title research SaaS · large lender platforms · institutional real estate marketplaces
// PICK CORELOGIC IF
You're doing institutional underwriting.
You're a mortgage lender, GSE, ratings agency, insurance carrier, or Wall Street risk team. Your workflows depend on CoreLogic-specific risk models and analytics products. The contract justifies itself by what you'd pay if you got a single decision wrong.
Examples: mortgage underwriting · MBS risk modeling · institutional valuation · insurance analytics
SECTION 06 · OUTSIDE LOOK

What independent AI said about us.

We're obviously biased about our own product. So we did something different: we gave Google's Gemini access to the PropData dashboard and asked it to evaluate the platform without any prompting from us. We didn't tell it what to focus on. We didn't tell it what to compare. We just let it explore.

This is what it said:

// GEMINI · UNPROMPTED ANALYSIS
For investors, developers, and tech startups, it is absolutely "Game Over" for the old way of doing business. If you can get 99% of the same intelligence for 1% of the cost, the choice is obvious.
G Google Gemini · April 2026 · Independent dashboard review

And on the specific PropData vs CoreLogic question:

CoreLogic just hands you a 50-page PDF and expects you to figure it out. PropData uses Claude AI to actually explain the data to you. Google Gemini · Unprompted

And on what 166M parcels means at API-accessible pricing:

If that data becomes available on a modern, low-cost API, their leverage evaporates. The gatekeeper model dies. Google Gemini · Unprompted

You're free to discount any of this — we did serve Gemini the dashboard. But we didn't give it a script. Those quotes are unedited.

SECTION 07 · MIGRATION

When you'd switch.

Switching from RentCast to PropData

If you started with RentCast and you've added a feature that needs anything beyond rent — owner records for outreach, comparable sales for valuation, market velocity for screening, FEMA risk for underwriting — you're going to need a second API or a switch. Most of our RentCast migrations happen at exactly this moment: the product needed to grow past rent.

Switching from ATTOM to PropData

Less common but real. ATTOM customers usually stick because the licensing model fits a bulk-load workflow. The teams that migrate are the ones who realized they only ever query small subsets at a time and don't need the bulk — they need fast, fresh, on-demand API access for a SaaS product where calling on-demand is cleaner than maintaining a synced bulk database.

Switching from CoreLogic to PropData

Almost never the right call for institutional users. If you're underwriting mortgages or running insurance models, stay with CoreLogic. Where the migration does happen: PropTech startups that started on CoreLogic because their founders came from the lending industry and assumed they needed it, then discovered their actual product use case is closer to "real estate SaaS" than "lending decisioning" — and they're paying $1K/mo for products and analytics they never call.

// HOW MIGRATION ACTUALLY GOES

Most teams keep their existing API for 30 days while they integrate PropData and validate the data quality side-by-side. Then they cancel the old contract. We don't ask anyone to switch on day one — we'd rather you confirm the data is what you need before you commit.

SECTION 08 · CLOSING

The honest part.

Here's the part most comparison posts skip.

CoreLogic and ATTOM aren't bad products. They're built for an audience that isn't you, and pricing reflects that audience. If you tried to build a CoreLogic-equivalent stack from scratch for a Fortune 500 lender, the cost would dwarf their license fees. Their customers know what they're paying for.

RentCast isn't a worse version of PropData — it's a more focused product for a smaller scope. If rent comps are all you need, you don't need the rest of what we offer.

What we do believe is this: there's a large group of builders, operators, agencies, and PropTech startups who don't fit any of those three customer profiles. They need broad, fresh data at startup pricing, with developer-friendly access and no procurement friction. That gap was wide open for years. PropData was built to fill it.

You don't have to take our word for it. Get a free API key in ten seconds. No credit card. Make ten calls. See if the data is what you need. If it isn't, we'll be the first to point you to whichever of the other three is right for what you're building.

// READY TO COMPARE FOR YOURSELF

Free API key. 10 seconds. No credit card.

Hit our endpoints with the same query you'd run against CoreLogic, ATTOM, or RentCast. Compare the responses. If we're not the right fit, we'll say so.

JE
// WRITTEN BY
Justin Erickson
Founder & CEO · PropTechUSA.ai · Local Home Buyers USA

Builds production AI systems and real estate data infrastructure end-to-end. Currently running PropTechUSA.ai, the PropData API, and a nationwide real estate operation. Writes about the gap between what data aggregators charge and what the data is actually worth — and what changes when independent builders close that gap.