# property-api

> Use this tool when you need to access comprehensive property intelligence for US real estate, solving problems such as risk assessment, investment analysis, and property valuation. It takes a US address as input and returns over 16 data points, including environmental hazards, crime rates, and neighborhood demographics. Ideal for use cases requiring detailed property insights, such as real estate investing, urban planning, or insurance underwriting.

Canonical page: https://skillsregistry.net/skills/propertyscoop-property-api  
JSON: https://api.skillsregistry.net/v1/skills/propertyscoop-property-api

## Description

Property intelligence API for US real estate. Returns 16+ data points for any US address: noise levels, wetlands, terrain slope, natural light, powerline proximity, crime rates, property facing direction, zoning, public record, radon risk, natural hazards (earthquake, flood, wildfire), neighborhood demographics, falling tree risk, RF/cell tower exposure, nearby school and its demographics, and environmental hazards (toxic sites, underground storage tanks).

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/propertyscoop/property-api)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "propertyscoop-property-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/propertyscoop-property-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/propertyscoop-property-api/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt