ChatGPT Plugin

DropReference

Live PC hardware prices

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

DropReference compares live prices of PC hardware across dozens of retailers (Amazon, Cdiscount, LDLC, Caseking, Alternate, PcComponentes, Newegg, Best Buy and many more) in France, Belgium, Luxembourg, Switzerland, Germany, Spain, Italy, the Netherlands, the United Kingdom, the United States and India. Ask ChatGPT to find the cheapest graphics card for a budget, compare where to buy a CPU, check whether a price is a good deal, or browse monitors, SSDs, laptops and prebuilt PCs with the same filters as the DropReference website: specifications (chipset, VRAM, socket, capacity, resolution...), quality tags, retailers, price range and price rating. Results include the current lowest price in your country, every live retailer offer sorted from cheapest, the price history and a price rating (amazing, good, fair or high) computed from that history. Product cards link to DropReference, which redirects you to the retailer. Limitations: DropReference only covers PC hardware and peripherals, prices are refreshed continuously but can change at the retailer, and the app does not place orders or handle payments. No account is needed and no personal data is collected.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: No account required
First tracked: 2026-10-21
Tool count: 6
Geography: US

Agent DiscoverabilityChatGPT Plugin Discovery Score

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ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce DropReference has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.

Tools

6 tools agents can invoke

Use this before search_catalog to get the valid filters of a product category in a country: specification keys with their allowed values or numeric ranges, quality tags, retailers, sort options and price indicators.
get_category_filters
Use this to tell whether now is a good time to buy a product: returns its daily lowest and average price over the last days in a country's currency, with the period minimum, maximum and current price.
get_price_history
Use this to get the full details of one product and every live retailer offer in a country, sorted from cheapest: price, retailer, new or used, availability and a DropReference link to each offer. Also returns specifications, quality tags and variants (other colors or memory sizes).
get_product_offers
Use this to find a product by name or model across all categories (e.g. "RTX 5070 Ti", "Ryzen 7 9800X3D", "Samsung 990 Pro 2TB"). Returns matching products with their EAN, category, lowest live price and number of live offers in the region, components first and then by number of offers, plus matching specification values (such as a GPU chipset) that can be used as search_catalog filters. Pass category when the user wants a specific kind of product, so that prebuilt PCs or laptops containing that part are excluded. Call get_product_offers with an EAN for the full list of live prices.
search_products
Use this to list products of one category that are currently on sale in a country, with live lowest prices. Supports the same filters as the DropReference website: free text, price range, specifications, tags, retailers and price indicators. Call get_category_filters first to get valid specification keys/values, tags and retailers.
search_catalog
Use this to display up to 8 products as visual cards with live price, price rating, best retailer and links. First find the products with search_catalog, search_products or get_product_offers, then pass the EANs you want to show, in display order.
show_product_cards

FAQs

DropReference ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve DropReference's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.