CoreLogic Matrix CMA vs Quantarium

The CMA module built into CoreLogic Matrix MLS software — often the native CMA tool for MLSs running on Matrix.

Free via MLS

Quantarium delivers AI-powered automated valuations across 158 million U.S. properties — the same engine selected by FHFA for next-generation appraisal. Its per-report QCMA product adds computerized comparable adjustments and TerraLook condition scoring to standard AVM output.

$1.50/report

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CoreLogic Matrix CMA vs Quantarium: feature comparison

Feature	CoreLogic Matrix CMA	Quantarium
Automated AVM	✓	✓
Interactive Presentation	✓	✗
Market Reports	✓	✓
MLS Integration	✓	✗
Client-Facing Portal	✗	✗
Branded Exports	✓	✗
Mobile Access	✗	✗
Free via MLS / NAR	✓	✗

CoreLogic Matrix CMA — Pros & Cons

Pros

Free via MLS if running on Matrix
Native integration with Matrix listing data
No separate subscription
Sufficient for basic CMA needs

Cons

Less polished than Cloud CMA
Only available if MLS uses Matrix
Limited customization and branding

Quantarium — Pros & Cons

Pros

Independent testing ranked its QVM the most accurate AVM in the U.S. for three consecutive years, outperforming CoreLogic, HouseCanary, and Clear Capital.
Self-service marketplace requires no sales call — per-report pricing from $1.50 for basic details to $12.99 for a full QCMA with automated comps and TerraPlot map.
TerraLook computer vision scores property condition, room quality, and damage from listing photos — a differentiated feature no mainstream CMA tool currently offers.
Covers 158 million+ U.S. properties across 3,000+ counties with 5,000+ data fields per parcel, including monthly Home Price Index updates.

Cons

Enterprise and API pricing is entirely opaque — brokerages and teams must contact sales before receiving a single cost figure.
Output is data-dense and technical, not a polished presentation; agents need a second tool to turn the valuation into a client-ready CMA report.
Review footprint is nearly absent on major platforms such as G2 and Capterra, making third-party social proof hard to find despite the product's track record.
Rural and niche property types show documented accuracy gaps; confidence intervals widen significantly outside major metro markets.

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