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CarGurus

Shoppingby CarGurus, Inc.
Open in ChatGPTOpen in ClaudeWebsite
Launched Feb 20, 2026 on ChatGPTLaunched Aug 31, 2026 on Claude

Find the right new or used car by describing what you're looking for in plain language.

Search vehicle listings using specific criteria like price, make, model, or mileage - or broader needs such as "cars that are safe in the snow," "great family cars," or "reliable commuter vehicles."

Explore matching listings with high-quality photos, full vehicle specifications, safety information, and dealer details. Whether you're comparing options or narrowing down to a shortlist, the app helps you translate real-world needs into confident car-buying decisions.

2ChatGPT Tools
2Claude Tools
CarGurus, Inc.Developer
ShoppingCategory

Use Cases

commerce-shopping

Available Tools

Get Vehicle Listing Details

vehicle-listing-detail
Full Description

Fetch detailed information for a specific vehicle listing by ID.

This tool retrieves comprehensive details about a vehicle including:

  • Basic information (year, make, model, price, mileage)
  • Vehicle specifications (engine, transmission, drivetrain, fuel economy)
  • Complete list of options
  • Interior and exterior colors
  • Images
  • Dealer location and rating
  • Vehicle history (owner count, accident count, salvage status)
  • VIN and stock number

Use this tool when you need complete details about a specific vehicle listing that you already have the ID for (e.g., from a search result).

Parameters (0 required, 4 optional)
Optional
listing_idnumber

The unique ID of a single vehicle listing to fetch details for (use this OR listing_ids)

listing_idsarray

Array of listing IDs to fetch in batch (use this OR listing_id). Results stream back as they complete.

validate_imagesboolean

Whether to validate that listing images are accessible (default: false)

Default: False
zip_codestring

ZIP code to calculate dealer distance from (e.g., "02140")

Search Vehicle Listings

vehicle-listing-search
Full Description

Search for US vehicle listings using natural language queries. Results are displayed in an interactive widget showing vehicle cards with prices, images, and dealer info.

Searches for cars based on natural language descriptions like:

  • "red SUVs under $30k"
  • "certified pre-owned sedans with low mileage"
  • "electric vehicles near Boston"

The search: 1. Parses the natural language query into structured filters 2. Finds matching vehicle listings near the specified ZIP code 3. Fetches detailed information for each listing 4. Optionally validates that listing images are accessible

ZIP code handling: if a ZIP code appears in the query (e.g., "cars near 02140"), it is used directly. If the query mentions a city or location (e.g., "cars in Seattle"), the ZIP code for the center of that city is used.

Example queries:

  • "Toyota trucks with 4WD"
  • "luxury sedans under $50,000"
  • "fuel-efficient cars with less than 50k miles"

Note: only searches US listings.

Parameters (1 required, 3 optional)
Required
search_textstring

Natural language search query (e.g., 'red SUVs under $30k')

Optional
num_resultsnumber

Number of listings to return (1-20, default: 20)

Default: 20
validate_imagesboolean

Whether to validate that listing images are accessible (default: false)

Default: False
zip_codestring

US ZIP code for the search location (e.g., '02140' for Cambridge, MA). Accepts a ZIP code stated in the query, the center ZIP of a named city or region, or omit if no location context is available.

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