CLSTR

Track developing news stories

View in the ChatGPT registry
Brand
CLSTR
Primary Subcategory
News & Feed Reading
Integration details

Description

CLSTR gives ChatGPT memory of the news. It reads over 100,000 articles a day from 40,000+ sources, groups every article about the same event into one deduplicated item, and links related events into "situations": ongoing storylines with a maintained summary and a full timeline. Ask what is happening around a topic, company, country or event and get one synthesized storyline instead of twenty near-duplicate headlines. Ask what has happened with a situation since a given date and get the whole arc, in order, with a count of how many sources reported each development and a link to every one of them. What it can do: - Search the news by topic, entity, company or country - List the situations developing right now, optionally by category, country or time window - Return the complete timeline of one situation, newest first - Return the detail of a single event with its source articles

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Data & Analytics

The broad Category that contains the Primary Subcategory.

Primary Subcategory
News & Feed Reading

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

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
CLSTR
Access
Account required
First tracked
2026-10-03
Tool count
4
Geography
US
Agent DiscoverabilityChatGPT Plugin Discovery Score
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Primary Subcategory
Listed in alphabetical order
Primary Subcategory
Break The Web NewsComing soonGet notified
CLSTRComing soonGet notified
Enzo Reader for RSS FeedsComing soonGet notified
Follow AnywhereComing soonGet notified
HaaretzComing soonGet notified
Tools

4 tools agents can invoke

Recommended guideHow to get your ChatGPT Plugin suggestedFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
FAQs

CLSTR ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve CLSTR'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.

What are CLSTR alternatives on ChatGPT?

As of 2026-10-07, CLSTR competes with Break The Web News, Enzo Reader for RSS Feeds, Follow Anywhere, Haaretz, La Dépêche du Midi, Le Parisien, Midi Libre, Newsify and 8 more in ChatGPT News & Feed Reading, ranked by public Discoverability Score.

Where is this profile measured?

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