# Realastat

> Realastat — ai-realastat-realastat. Use this tool when you need to analyze real estate deals efficiently, as it solves problems related to rental underwriting, buy-box matching, and deal organization by taking in chat inputs and outputting detailed analysis and documentation. It streamlines the process of evaluating potential investments and managing a deal library. Ideal for real estate investors and analysts looking to optimize their deal analysis workflow.

Canonical page: https://skillsregistry.net/skills/ai-realastat-realastat  
JSON: https://api.skillsregistry.net/v1/skills/ai-realastat-realastat

## Description

Real estate deal analysis from chat: rental underwriting, buy-box matching, deal library, docs.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.realastat%2Frealastat)

## Use it

MCP endpoint published by the skill: `https://realastat.ai/api/mcp`

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": "ai-realastat-realastat"
    }
  }
}
```

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