What data source does Lotlytics use?
The README does not specify the underlying data source. Only that it provides prices, appreciation, rental yields, mortgage estimates, health scores, and HUD Fair Market Rents.
@daejung83
Basic information
Live data for 895 US metros. Ask your AI about home prices, rental yields, investment health scores, and migration trends. Free tier included, no account needed.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"lotlytics": {
"type": "sse",
"url": "https://lotlytics-mcp-production.up.railway.app/sse"
}
}
}Get a real estate market summary for a US city or metro area. Returns median home price, appreciation, rental yield, market momentum, and migration trends. Free tier: top 50 markets. With API key: all 894 US metros. Use get_market_health first for a quick score, then this for the full picture.
List available real estate markets. Free tier: top 50 US metros. With API key: all 894 markets. Optionally filter by state (2-letter abbreviation or full name).
Get a quick investment health score (1-10) for a US real estate market. Returns a score with label (Strong Buy / Favorable / Neutral / Caution / Avoid) and key signals. Use this FIRST for quick screening before digging deeper with get_market_summary. Free tier: top 50 markets. With API key: all 894 metros.
Compare two real estate markets side by side. Requires API key (Investor plan). Returns a head-to-head comparison with winners highlighted across price, yield, appreciation, and more. Use when deciding between two markets for investment.
Search for real estate markets matching specific investment criteria. Requires API key. Examples: 'markets in Texas under $300k with 6%+ yield', 'best appreciation in the Southeast'. Filters: state, max_price, min_appreciation, min_rental_yield, max_price_to_income. No filters = top-ranked markets nationally.
Lotlytics — Real Estate Market Intelligence is an MCP server that provides real estate market data—prices, appreciation, rental yield, mortgage estimates, and investment health scores—to any MCP-compatible AI assistant (Claude, Cursor, Windsurf, etc.). It is built for real estate investors and professionals who want to analyze markets through natural language queries.
Configure the MCP client with the SSE endpoint https://lotlytics-mcp-production.up.railway.app/sse. The free tier requires no sign-up; after adding the config and restarting the client, you can ask questions directly. For premium features ($79/month), add your API key from lotlytics.us/settings/api-keys in the Authorization header using Bearer YOUR_API_KEY.
The README does not specify the underlying data source. Only that it provides prices, appreciation, rental yields, mortgage estimates, health scores, and HUD Fair Market Rents.
Yes. The free tier gives 20 requests per day and covers only the top 50 US metros. No account is required.
Subscribe at $79/month, then add your API key from `lotlytics.us/settings/api-keys` as a Bearer token in the MCP server configuration. Premium unlocks all 895 metros and additional tools (compare_markets, search_markets, get_market_summary_premium).
The server uses SSE (Server-Sent Events). The configuration points to an SSE endpoint.
Authentication is optional for the free tier. For the premium tier, an API key is sent in the `Authorization` header as `Bearer YOUR_API_KEY`.

PayStage: safety tools for AI agent payments (x402, MCP)
Live and historical crypto market data for AI agents: prices, OHLCV history, Fear & Greed and altseason sentiment, technical indicators, exchanges, liquidations and conversions plus 19 read-only crypto tools over Streama

Grow sales on Google, Meta, Microsoft, TikTok, Pinterest and more, straight from Claude, ChatGPT or Cursor. Connect your Shopify product feeds and find the products Google is rejecting. AI helps you optimize any field, g

IBANforge — IBAN validation, BIC/SWIFT lookup, Swiss clearing, and EMI/vIBAN classification API with MCP for AI agents

Hosted MCP server for trailing and calendar-year total returns of 32,000+ US mutual funds and ETFs — compare, screen, and explain fund performance by ticker.
Comments