# Lotlytics — Real Estate Market Data

> Use this tool when you need to analyze real estate market trends and data for US metros, solving problems such as identifying investment opportunities, understanding migration patterns, and determining affordability. It provides inputs such as home prices, rental yields, and investment health scores, and outputs detailed market insights and comparisons. Use Lotlytics for informed decision-making in real estate investments, market research, and urban planning, with options for both free and premium tier access to 895 US markets.

Canonical page: https://skillsregistry.net/skills/daejung83-lotlytics-mcp  
JSON: https://api.skillsregistry.net/v1/skills/daejung83-lotlytics-mcp

## Description

Live real estate market data for 895 US metros. Ask your AI assistant about home prices, rental yields, investment health scores, migration trends, and
affordability. Free tier covers top 50 markets (no account needed). Premium tier unlocks all 895 markets, HUD Fair Market Rents, side-by-side market
comparison, and filtered market search.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/atz7dr81e3)
- **Repository:** <https://github.com/daejung83/lotlytics-mcp>

## 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": "daejung83-lotlytics-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/daejung83-lotlytics-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/daejung83-lotlytics-mcp/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