Perigon AI Agent
Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Perigon MCP or direct API to search breaking news, analyze trending topics, summarize articles, and retrieve structured news data through natural language.
Connect on TelegramPerigon is a news and web content API that delivers structured, real-time news data. It helps you power applications needing up-to-date, reliable news coverage and analysis.
▪ Tools & Triggers
Supported Tools and Triggers
Every Perigon action and event your agent gets out of the box.
Get News Articles
Tool to retrieve a list of news articles based on filters. Use when keywords, sources, or date ranges are specified.
Get Companies
Tool to retrieve information on companies in Perigon’s entity database. Use when you need a full list of companies. Use after confirming a valid API key is present.
Get Journalists
Tool to retrieve journalist profiles including title, Twitter handle, bio, and location. Use when you need detailed journalist info to enrich content with author metadata.
Get Media Sources
Tool to retrieve a list of media sources with filtering options. Use when you need to list sources by domain, country, category, or traffic metrics.
Get Stories
Tool to retrieve clusters of related articles covering the same event or topic with aggregate metrics. Use when you need to fetch filtered and sorted story clusters after configuring query parameters.
Get Topics
Tool to retrieve all available Perigon news topics. Returns a list of topics that can be used to filter articles or stories. Each topic includes an ID, name, and labels (category/subcategory).
Get Wikipedia Articles
Tool to search and filter Wikipedia pages. Use when you have a search query ready and want to retrieve relevant Wikipedia articles.
Vector Search Articles
Tool to perform a vector search on Perigon’s real-time news database. Use when you need to retrieve semantically similar news articles given a natural language query.
Vector Search Wikipedia
Tool to perform semantic retrieval of Wikipedia pages using vector search. Use after obtaining a search query to find relevant Wikipedia articles.
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