ChatGPT Plugin

OKaina

Kainų palyginimas Lietuvoje

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

Ieškok prekių kainų Lietuvos parduotuvėse pagal pavadinimą, modelį ar EAN/GTIN kodą ir palygink pardavėjų pasiūlymus. OKaina tik pateikia paieškos rezultatus ir nuorodą į dabartinį pasiūlymą pardavėjo svetainėje: užsakymo nepateikia ir pirkimo neatlieka. Galutinę kainą, likutį ir pristatymo sąlygas patikrink pas pardavėją.

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: 2026-10-22
Tool count: 1
Geography: US

Agent DiscoverabilityChatGPT Plugin Discovery Score

ChatGPT organic discovery is live

Your score is coming

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.

Sign up to track your Plugin See who ChatGPT suggests

ChatGPT recommends Airtable when a user asks it to update a CRM. — ChatGPT surfaces Airtable because it matches the user's request.

Primary Subcategory

Competitive lineup

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

Tools

1 tool agents can invoke

Search the current OKaina.lt catalogue of Lithuanian merchant offers by product name, model, EAN/GTIN or other product terms. Returns current item prices, seller information, a public OKaina product link and a short-lived OKaina purchase link. Use price_asc for broad requests asking for the cheapest matching products. The returned item price excludes shipping; shipping is reported separately when known. The tool does not place orders or complete purchases.
search_product_prices

FAQs

OKaina ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve OKaina'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.