Perigon
ChatGPT plugin by Perigon · News research and monitoring
Data updated · Last checked
In directory search?Position now, the last 7 days and the #1 result.
Listing check?What to fix in the listing and how much each item adds to the listing score (70/100; category leaders average 68).
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0 / 30Put a search term in the name Search rank?Directory search ranks name matches first: 53% of top-3 results have the search term in the name. Searches for a brand name itself are not tracked.The name has none of the tracked search terms.7 of 20 category leaders do this
In ChatGPT conversations?How often ChatGPT mentions Perigon when people ask common Data & Analytics questions.
About Perigon
On the directory's Data & Analytics page Perigon is #310 of 636. It joined the directory on Oct 16, 2026.
Perigon helps analysts and researchers search, filter and analyze global news data. Search articles and stories by sentiment, journalist, publisher location, company, topic, language and date. Combine filters to find precise coverage, compare trends and produce briefings with source citations.From the plugin’s directory listing
Try asking
Competitors?Plugins that show up in the same tracked searches as Perigon.
No competitors yet.
In the directory
- Featured page
- Not on it
- Category page
- #310 of 636
- Same job
- 66 news & reading plugins
- Account
- Needed
- Listed since
- Oct 16, 2026
Recent changes
More Data & Analytics plugins
Perigon: questions and answers
What does Perigon do?
News research and monitoring. Perigon helps analysts and researchers search, filter and analyze global news data. Search articles and stories by sentiment, journalist, publisher location, company, topic, language and date. Combine filters to find precise coverage, compare trends and produce briefings with source citations.
How do I use Perigon in ChatGPT?
Install it from the ChatGPT plugin directory, then mention @Perigon in a chat. Its listing suggests asking “Find negative-sentiment news coverage of electric vehicles from the past week and cite the sources.”, “Compare recent news about AI agents with public discussion on X and Reddit. Cite sources and separate findings.” or “Find LinkedIn posts about AI funding from the past week, newest first, with source links and engagement counts.”