Name: Market Analyst (Chainlit)
Author: MarketCheck

About This App

Demonstrates the Chainlit pattern for Python-based chat applications. Features built-in tool execution steps with expandable input/output visualization. Ideal for data science and analytics use cases where tool execution transparency is important.

Screenshots

MarketCheck API Endpoints Used

This app calls the following MarketCheck API endpoints under the hood:

GET GET /v2/search/car/active

Search Active Listings

View API documentation ↗

GET GET /v2/decode/car/neovin/{vin}/specs

VIN Decode

View API documentation ↗

GET GET /v2/predict/car/us/marketcheck_price/comparables

Price Prediction

View API documentation ↗

GET GET /v2/history/car/{vin}

Car History

View API documentation ↗

GET GET /v2/incentives/by-zip

OEM Incentives

View API documentation ↗

GET GET /api/v1/sold-vehicles/summary

Sold Vehicle Summary

View API documentation ↗

How to Use

1. In the Browser (Demo or Live Data)

Click "Launch App" above. Enter your MarketCheck API key in the settings gear for live data, or explore with demo data.

Chat apps also require an LLM API key (Anthropic, OpenAI, or Google Gemini).

2. As an MCP App (AI Assistants)

Add the MarketCheck MCP server to Claude, VS Code, or any MCP-compatible host:

{
  "mcpServers": {
    "marketcheck-apps": {
      "url": "https://apps.marketcheck.com/mcp?api_key=YOUR_KEY"
    }
  }
}

Then ask the AI to use the chat tool.

3. Embed in Your Portal

<iframe
  src="https://apps.marketcheck.com/apps/chat-chainlit/dist/index.html?api_key=YOUR_KEY&embed=true"
  width="100%" height="700"
  style="border:none;border-radius:8px;"
></iframe>

4. Get a Free API Key

Sign up at developers.marketcheck.com to get a free API key and start testing.

Source Code

This app is open source and part of the MarketCheck API & MCP Apps monorepo:

View source on GitHub ↗

The full repository contains 52 apps across 18 segments, plus full-stack chat demo implementations.