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Tonita

Shoppingby Tonita, Inc.

Tonita is a search engine for apparel and accessories, built to work with how you actually think about shopping. It brings together products from hundreds of stores, thousands of brands, and millions of items — all in one place, from clothing and footwear to cosmetics and everyday essentials.

There isn’t just one way to shop. Sometimes you’re focused on price or practicality; other times it’s about style, fit, materials, or longevity. What matters can shift with the situation — work, travel, special occasions, outdoor use, or everyday wear. Tonita brings these options together, making it easier for you to browse, compare, and make an informed choice.

Within ChatGPT, Tonita works best as part of a conversation. You can explore broad questions, half-formed ideas, or specific constraints naturally — whether that means thinking through what to buy for a particular occasion, learning about materials or categories, or narrowing in on a specific kind of product. ChatGPT helps shape your thoughts into useful searches, and Tonita surfaces a wide set of relevant results for you to browse, compare, and refine as the picture becomes clearer. (For more advanced tools like virtual try-on, saving favorites, and deeper browsing, Tonita can also be used directly at Tonita.co.)

Tonita is built to support the way you actually think about shopping — by priorities, context, and tradeoffs — rather than forcing everything into rigid categories. This includes the ability to search and explore across aspects like:

• Budget and value: From fast fashion and sale finds to higher-end pieces, investment items, and everyday staples. • Style and aesthetic: Minimalist, maximalist, classic, streetwear, formal, playful, utilitarian, fashion-forward, or timeless — and combinations of these. • Trends and longevity: What’s popular right now, last season’s styles, and pieces meant to stay relevant beyond a trend cycle. • Use case and setting: Work, travel, special occasions, outdoor use, events, lounging, or everyday wear. • Fit, sizing, and comfort: Different body types and needs, including petite and extended sizing, relaxed or tailored fits, and comfort-first designs. • Materials and feel: Natural fibers, synthetics, performance fabrics, lightweight layers, structured pieces, or materials chosen for warmth, breathability, or softness. • Durability and care: Easy-care basics, machine-washable items, wrinkle-resistant pieces, or garments meant to be worn, repaired, and kept longer. • Sustainability priorities: Interest in materials, production methods, longevity, or brands taking different approaches to environmental impact. • Brand familiarity and discovery: Well-known labels alongside emerging brands, niche designers, and alternatives to the usual options. • Putting a full look together: Apparel, footwear, accessories, jewelry, and cosmetics, considered side by side rather than in isolation.

2ChatGPT Tools
Tonita, Inc.Developer
ShoppingCategory

Available Tools

Tonita Get Listing Details

tonita-get-listing-details
Full Description

Get the details for one or more listings.

Given a list of listing IDs, this tool returns the full details for each listing, including title, description, price, brand, images, and other metadata.

Use this tool when you need to retrieve detailed information about specific products that have already been shown to the user, for example:

  • When the user asks for more information about specific products
  • When you need to understand the details of products before searching for similar items
  • When the user wants to compare specific products
Parameters (1 required)
Required
listing_idsarray

A list of listing IDs to retrieve details for. Each listing ID is a unique identifier for a product in the Tonita catalog.

Tonita Search

tonita-search
Full Description

Search Tonita to find products that match the user's intent.

The query parameter is the main search query used for ranking results. The additional_queries parameter can include variations of the query to improve retrieval coverage.

NOTE: The search engine does NOT have much "world knowledge". That means queries should not contain any pop-culture references, trendy terms, or other cultural references.

NOTE: Queries must NOT contain any references to other listings. For example, if the user has expressed they want items similar to previously-shown listings X, Y and Z, do not include "similar to X, Y and Z" in the queries. Instead, first gather the product details of X, Y and Z, and then use those details to construct the queries.

NOTE: This function is meant to search for one specific type of item. For example, do not use a single search call to search for shirts and pants and shoes. Instead, make three separate calls to this function.

NOTE: It is OK if not every detail is provided. For example, if the user does not have a brand/domain preference, set the corresponding parameter to null.

Parameters (3 required, 5 optional)
Required
gender

The target gender for the product.

product_typestring

The type of product to search for (e.g., 'dress', 'jacket', 'sneakers').

querystring

The main search query describing what the user is looking for. This will be used for ranking results.

Optional
additional_queriesarray

Additional query variations to improve retrieval coverage. These are different phrasings of the same intent.

Default: null
exclude_brandsarray

Brands to exclude from the search results. Set to null if no brands to exclude.

Default: null
exclude_domainsarray

Domains/retailers to exclude from the search results. Set to null if no domains to exclude.

Default: null
include_brandsarray

Brands to include in the search results. Set to null if no brand preference.

Default: null
include_domainsarray

Domains/retailers to include in the search results. Set to null if no domain preference.

Default: null