PropertyLens MCP Server

PropertyLens provides property data APIs for insurers, MGAs, and inspectors, delivering detailed risk assessments, roof condition analysis, replacement cost estimates, permit information, valuations, and over 3,200 data points for any U.S. property. The platform enables real-time access to comprehensive property intelligence to support underwriting, claims, and risk management workflows.

PropertyLens MCP Server is listed with 1 API on the APIs.io network. Tagged areas include Property Data, Insurance, Real Estate, Risk Assessment, and Inspection.

PropertyLens MCP Server’s developer surface includes signup flow, API reference, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

15.0/100 emerging ▲ 5.2 Agent 0/100 human only Heartbeat 99/100 alive Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 API

Property Data Insurance Real Estate Risk Assessment InspectionReplacement CostScores

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 15.0/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 4.0 / 17

Operational Transparency 2.6 / 11

Contract Governance 0.0 / 10

Discoverability 5.9 / 9

Regulatory Posture 1.3 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Insurance regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 7.1 — up to +18.6 composite points Ask about this →
Access Clarity scores 23.4 — up to +15.3 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/propertylensdata/apis.yml: open an issue on github.com/api-evangelist/propertylensdata to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

PropertyLens API

PropertyLens provides property data APIs for insurers, MGAs, and inspectors, delivering detailed risk assessments and over 3,200 data points for U.S. properties.

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

PropertyLens MCP Server

18 quoted statements, read from PropertyLens MCP Server's own page on 2026-11-10.

PRIVACY

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

PropertyLens MCP Server Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

Access & Security 2

Authentication, authorization, and security posture

SecurityTxt

SecurityTxt

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

StatusPage

StatusPage

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Newsroom

Newsroom

Website

Website

Other 3

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

DataProcessing

DataProcessing

Source (apis.yml)

aid: propertylensdata
name: PropertyLens MCP Server
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://www.propertylensdata.com/images/og-image.png
description: PropertyLens provides property data APIs for insurers, MGAs, and inspectors, delivering detailed risk assessments,
  roof condition analysis, replacement cost estimates, permit information, valuations, and over 3,200 data points for any
  U.S. property. The platform enables real-time access to comprehensive property intelligence to support underwriting, claims,
  and risk management workflows.
url: https://raw.githubusercontent.com/api-evangelist/propertylensdata/refs/heads/main/apis.yml
x-type: company
x-source: harvest:g2-catalog
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-18 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-18'
modified: '2026-10-18'
tags:
- Property Data
- Insurance
- Real Estate
- Risk Assessment
- Inspection
- Replacement Cost
- Scores
tags_raw:
- Property Data
- APIs
- Insurance
- Real Estate
- Risk Assessment
- Inspection
- Replacement Cost
- Scores
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: SecurityTxt
  url: well-known/propertylensdata-propertylens-security.txt
- type: WellKnown
  url: well-known/propertylensdata-well-known.yml
- type: Hosts
  url: hosts/propertylensdata-hosts.yml
- type: Vendors
  url: vendors/propertylensdata-vendors.yml
- type: StatusPage
  url: https://propertylens.statuspage.io
- type: SignUp
  url: https://my.propertylensdata.com/create-account
- type: PrivacyPolicy
  url: https://propertylensdata.com/privacy
- type: Newsroom
  url: https://propertylensdata.com/press
- type: APIReference
  url: https://propertylensdata.com/api-reference
- type: DomainSecurity
  url: security/propertylensdata-domain-security.yml
- type: Website
  url: https://propertylensdata.com/
- type: DataProcessing
  url: privacy/propertylensdata-privacy-policy.yml
apis:
- name: PropertyLens API
  description: PropertyLens provides property data APIs for insurers, MGAs, and inspectors, delivering detailed risk assessments
    and over 3,200 data points for U.S. properties.
  humanURL: https://propertylensdata.com/api-reference
  baseURL: null
  aid: propertylensdata:propertylens-api
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: The API reference pages provide data endpoints but no OpenAPI, AsyncAPI, GraphQL, gRPC, or WSDL specifications are
    available.
  evidence:
  - url: https://propertylensdata.com/api-reference
    status: 200
  checked: '2026-10-18'
x-enrichment:
  date: '2026-10-18'
  status: enriched
  artifacts_added: 7
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

PropertyLens MCP Server API — frequently asked questions

Does PropertyLens MCP Server have an API?

Yes. APIs.io lists 1 API from PropertyLens MCP Server, including PropertyLens API.

Is the PropertyLens MCP Server API ready for AI agents?

PropertyLens MCP Server has a Kin Score of 15.0 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-13.

Work with this as data

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Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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How their score was established

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