Cape Analytics

Cape Analytics (now part of Moody's) is a geospatial property intelligence provider that applies computer vision and machine learning to high-resolution aerial and satellite imagery, property records, and other novel data sources to produce inspection-quality condition and characteristic data for over 100 million residential and commercial structures across the United States and Canada. Its insights — roof condition and material, swimming pools, solar panels, accessory structures, tree overhang, wildfire and wind exposure, distance to hazards, and a proprietary Liquidity Score — are delivered to insurance underwriters, lenders, and real estate investors in under two seconds via API, batch/bulk files, an Automated Property Condition Report (aPCR), and a customer web portal, as well as through third-party platforms such as Guidewire and Duck Creek. Cape does not publish a public, self-service developer portal or open API specification; API access is provisioned to customers and partners through a gated onboarding flow.

Cape Analytics is profiled on the APIs.io network. Tagged areas include Company, Property Intelligence, Geospatial, Computer Vision, and Machine Learning.

Cape Analytics’ developer surface includes engineering blog, support, and 9 more developer resources.

🌐 Visit website 📡 Source on GitHub

19.3/100 emerging ▬ flat Agent 4/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyProperty IntelligenceGeospatialComputer VisionMachine LearningReal EstateInsuranceUnderwritingAerial ImageryRisk Analytics

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 19.3/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 3.0 / 20

Commercial Clarity 6.8 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 4/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/cape-analytics: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Login

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: cape-analytics
name: Cape Analytics
description: Cape Analytics (now part of Moody's) is a geospatial property intelligence provider that applies computer vision
  and machine learning to high-resolution aerial and satellite imagery, property records, and other novel data sources to
  produce inspection-quality condition and characteristic data for over 100 million residential and commercial structures
  across the United States and Canada. Its insights — roof condition and material, swimming pools, solar panels, accessory
  structures, tree overhang, wildfire and wind exposure, distance to hazards, and a proprietary Liquidity Score — are delivered
  to insurance underwriters, lenders, and real estate investors in under two seconds via API, batch/bulk files, an Automated
  Property Condition Report (aPCR), and a customer web portal, as well as through third-party platforms such as Guidewire
  and Duck Creek. Cape does not publish a public, self-service developer portal or open API specification; API access is provisioned
  to customers and partners through a gated onboarding flow.
url: https://raw.githubusercontent.com/api-evangelist/cape-analytics/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://capeanalytics.com/wp-content/uploads/2025/10/mdy_logo_rgb_white-reduced-centered.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- dcvc
x-acquired-by: moodys
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Property Intelligence
- Geospatial
- Computer Vision
- Machine Learning
- Real Estate
- Insurance
- Underwriting
- Aerial Imagery
- Risk Analytics
apis: []
common:
- type: Website
  url: https://capeanalytics.com/
- type: DeveloperPortal
  url: https://capeanalytics.com/capabilities/
- type: Blog
  url: https://capeanalytics.com/blog/
- type: Support
  url: https://capeanalytics.com/contact/
- type: Login
  url: https://client.capeanalytics.com/
- type: PrivacyPolicy
  url: https://capeanalytics.com/privacy-policy/
- type: TermsOfService
  url: https://capeanalytics.com/terms-of-use/
- type: GitHubOrganization
  url: https://github.com/capeanalytics
- type: WellKnown
  url: well-known/cape-analytics-well-known.yml
- type: DomainSecurity
  url: security/cape-analytics-domain-security.yml
- type: LLMsTxt
  url: llms/cape-analytics-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence