Cape Analytics review
Cape Analytics is a Appraisal Management product from Moody's Corporation. MortgageTechReview scores Cape Analytics 2.8 out of 5.0, ranking Cape Analytics #16 of the 21 products tracked in Appraisal Management Software, as of August 11, 2026. Scores on MortgageTechReview are weighted across five axes and are never paid for or influenced by a vendor relationship.
Cape Analytics reads aerial and geospatial imagery with computer vision and returns property condition attributes. Roof state and vegetation near the structure are typical outputs, wildfire exposure too. Moody's agreed to buy it in January 2025, mainly to feed insurance risk models. It is a data input, not a valuation workflow. It decides only if your problem is AVM output ignoring what a property actually looks like. Cape's own figure, nearly 10 percent less valuation error, is what your analytics team should test against your book.
How Cape Analytics compares to Clear Capital
Ranked first in VALClear Capital currently scores highest in VAL, so every other product in the category is compared against it here. That is a ranking on our published rubric rather than a recommendation, and it changes when the scores change. Category Leader
| Axis | Cape Analytics | Clear Capital |
|---|---|---|
| Production impact | 2.8 | 5.0 |
| Functionality & depth | 3.1 | 4.9 |
| Integrations & ecosystem | 2.4 | 4.9 |
| Adoption & support | 2.8 | 4.4 |
| Return on spend | 2.8 | 4.5 |
| Overall | 2.8 | 4.8 |
Cape Analytics wins 0 of 5 axes against Clear Capital, on the weight profile published for this category. Full head-to-head →
Where it wins
- Condition attributes come from current imagery, not stale tax records or self-reported data
- Moody's ownership lowers the counterparty risk of building pricing models on the feed
- Aimed at home equity and loan-trading cases where inspection is not economic
- Runs across a whole portfolio, not just single orders, so monitoring works
Where it falls short
- Produces data, not an appraisal, so it satisfies no collateral requirement alone
- No mortgage-side integrations or partner platforms named on the site
- Insurance modeling drove the acquisition, putting lending use cases second
- Value depends entirely on your team building the condition adjustment themselves
Why it scores 2.8
Scored on the Appraisal & Valuation weight profile. The number shows where it sits in this category. It rests on evidence anyone can check, including the vendor's own record. The weights →
Production impact
30% of scoreCape Analytics touches neither loan volume nor cycle time. The case is decision quality: the company’s own figure says accounting for property condition cuts valuation error by nearly 10 percent, which lands in loss severity and equity pricing. That is Cape’s number, untested outside Cape. It only pays for a lender already running an AVM-based equity product with the staff to build the adjustment. For a purchase-money originator it is not the constraint.
Functionality and depth
15% of scoreThe computer vision work on aerial and geospatial imagery is genuine, and the attribute set is specific: roof condition, vegetation proximity, structural features and wildfire exposure, packaged for real estate as AIRE Property Intelligence. It produces no valuation and no appraisal, so it satisfies no collateral requirement on its own. It is one input among several, and the larger business it serves is insurance risk modelling, which sits outside this category entirely.
Integrations and ecosystem
15% of scoreDelivery is an API and bulk data. No mortgage integration is named anywhere: no LOS, no AVM vendor, no appraisal platform. Sitting inside Moody’s opens a path through existing Moody’s Analytics channels, but that is a possibility rather than a published connection. Today, every use of this feed starts with your own engineers and finishes there too.
Adoption and support
15% of scoreThere is no operations rollout, because the people evaluating it are the people who will use it. That keeps a pilot cheap. It also means the work never ends. Cape publishes no reference implementation for mortgage valuation, so turning roof and vegetation attributes into a condition adjustment is entirely your team’s problem. Buy this with modelling capacity in the building or do not buy it.
Return on spend
25% of scorePriced as data, the return depends on how much decision value you extract per record. Home equity lenders and whole-loan buyers with modelling staff can earn it back. Everyone else pays for a feed nobody operationalises, and the value depends entirely on your team building the condition adjustment themselves. Moody’s ownership at least means the feed will not disappear mid-contract.
On price. Quote only, licensed by volume. Establish early whether pricing runs per property queried or per portfolio refresh. Continuous monitoring and one-off lookups price very differently.
