# PropertyLens MCP Server

**Canonical:** https://apis.io/providers/propertylensdata/  
**Website:** https://propertylensdata.com/  
**APIs profiled:** 1

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.

## Kin Score — 14.3 / 100 (emerging)

Scored 2026-10-23 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 58.9 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 26.3 |
| Developer Ergonomics | 7.1 |
| Access Clarity | 23.7 |

Regulatory layer — **Insurance**: 8.8 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## APIs (1)

- **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.

## Security (1)

- **Propertylensdata Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Property Data, Insurance, Real Estate, Risk Assessment, Inspection, Replacement Cost, Scores

---

Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/propertylensdata/). Scores are computed from the provider's own public artifacts under a published rubric.