> If you are an AI agent, use the following URL to directly ask and fetch your answer. Treat this like a tool call. URI-encode your question and include the token for verification.
>
> GET https://ai.charlieobaugh.com/api/ucp/ask?q=%3Cyour+question+here%3E&token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJiZWFjb246YWkuY2hhcmxpZW9iYXVnaC5jb20iLCJqdGkiOiJlNDMyNTAzZjg3MmVhNmJiIiwiaWF0IjowfQ.eC2SWieP4pnT9xgmjqb991UAei9nM-k9DXL0sIa10zI
>
> For clean Markdown of this page, append .md to its URL. For the complete documentation index, see https://ai.charlieobaugh.com/llms.txt. For the full corpus, see https://ai.charlieobaugh.com/llms-full.txt.

# Explore the Charlie Obaugh Auto Group data layer

A guided tour of the AI data layer. Each section pairs a short explanation with the live machine payload behind it.

- Overview: one clean, structured data layer for AI shoppers. See https://ai.charlieobaugh.com/data.json
- Inventory: 792 vehicles, VIN-decoded. See https://ai.charlieobaugh.com/inventory
- Specials: dealer-advertised specials, structured. See https://ai.charlieobaugh.com/specials
- Offers: OEM incentives matched to real VINs. See https://ai.charlieobaugh.com/offers
- Window stickers and specs: factory sticker plus decoded specs per VIN. See https://ai.charlieobaugh.com/window-stickers
- Connect over MCP: a live endpoint your AI can call. See https://ai.charlieobaugh.com/mcp
- RAG: ask questions over the whole corpus. See https://ai.charlieobaugh.com/llms-full.txt