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ChatGPT Plugin

Väderarkivets väderassistent

Analysera historiskt väder

View in the ChatGPT registry
Brand
Unknown
Category
Pending
Primary Subcategory
Pending
Integration details

Description

Väderarkivets väderassistent hjälper användare att utforska svenska historiska väderobservationer, jämföra stationer och perioder, undersöka trender och extremvärden samt hitta luckor i mätserier. Resultaten anger stationer, datum, enheter, datatäckning och eventuella begränsningar. Underlaget innehåller observationer, inte väderprognoser.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
No account required
First tracked
2026-10-02
Tool count
2
Geography
US
Agent DiscoverabilityChatGPT Plugin Discovery Score

ChatGPT Plugin discovery is coming soon

ChatGPT can surface a Plugin when it matches a user's request.Your Plugin Discovery Score measures how often yours appears.

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What discovery looks like

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

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Get updates when Väderarkivets väderassistent’s Discoverability Score or category rank changes.

Primary Subcategory

Competitive lineup

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

2 tools agents can invoke

Recommended guideThe Complete Guide to ChatGPT Plugin DiscoverabilityFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
FAQs

Väderarkivets väderassistent FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve a ChatGPT Plugin's 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.