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Cashback Hive: Deals & Coupons

Shoppingby Cashback Hive Inc.
Open in ChatGPTWebsite
Launched Mar 30, 2026 on ChatGPT

Cashback Hive helps you save money when you shop online. Check cashback rates and coupon codes for thousands of retailers, get tracked shopping links, and see your earnings, all inside of ChatGPT.

Minimum withdrawal balance of $10 required.

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2ChatGPT Tools
Cashback Hive Inc.Developer
ShoppingCategory

Available Tools

Check Cashback Balance

balance_check
Full Description

Look up the user's cashback balance and recent transaction history. Returns a summary of pending, confirmed, and paid cashback along with their most recent transactions.

Use when the user:

  • Asks about their cashback balance or earnings
  • Wants to know how much they've saved or earned
  • Asks about their wallet, rewards, or cash back
  • Wants to see their recent cashback transactions

This tool requires the user to be signed in. No parameters are needed — the balance is fetched for the authenticated user.

Check Savings & Get Tracked Link

offers_lookup
Full Description

Look up cashback rates, coupon codes, and tracked shopping links for one or more retailers or a shopping category. Returns everything the user needs to save in one response.

Use when the user:

  • Mentions a specific retailer or brand (or several)
  • Asks about deals, cashback, or coupons in a shopping category (e.g. makeup, electronics, fashion, travel)

search_query uses semantic vector search against store names, descriptions, and keywords. Be descriptive — include the type of store or product so the search can match specific retailers. Avoid single generic words like 'sports' or 'fashion'; instead use phrases like 'sports equipment stores' or 'women's fashion clothing'. Avoid comma-separated lists.

Examples:

  • "Any cashback for Target?" → merchant_names: ["Target"]
  • "Show me baseball deals" → search_query: "baseball equipment and gear"
  • "Sports deals?" → search_query: "athletic sportswear and equipment stores"
  • "What makeup brands have discounts?" → search_query: "makeup and cosmetics retailers", merchant_names: ["Sephora", "Ulta", "MAC Cosmetics"]
  • "Find me deals at Nike, Adidas, and Puma" → merchant_names: ["Nike", "Adidas", "Puma"]
Parameters (1 required, 3 optional)
Required
countrystring

ISO 3166-1 alpha-2 country code of the user (e.g. 'US', 'GB', 'CA', 'AU'). Infer this from the user's language, locale, currency, or any location they mention in the conversation. Default to 'US' if unknown.

Optional
merchant_namesarray

One or more retailer or brand names to look up individually. Use common brand names without domain suffixes (e.g. ['Target', 'Nike', 'Home Depot'] — NOT ['target.com']). Each name is searched separately so results are precise per brand.

search_querystring

A descriptive phrase for semantic store discovery by topic or category. Include the type of store or product to improve match quality (e.g. 'athletic sportswear stores' not just 'sports'). Matched against store names, descriptions, and keywords via vector search. Avoid comma-separated lists. For specific known brands, prefer merchant_names.

sort_bystring

How to order the results. 'relevance' (default) preserves the original search ranking. 'cashback_rate' sorts by highest cashback percentage first. Use 'cashback_rate' when the user asks for the best deals or highest cashback.

Options:relevancecashback_rate

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