Connect Perigon to your AI agent

Marketing 9 actions available

Perigon provides an HTTP REST API for retrieving news and web content data, offering structured data suitable for various applications.

We set up the connection using your own Perigon account, with keys you control, and keep it running. Your agent picks it up and starts doing the work.

Book a setup call → See pricing
Actions

What your agent can do in Perigon

Each one is a real action the agent can take on its own, the same things a person clicking around Perigon could do. Read-only by default; write actions are confirmed against your policy.

  • 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.
Setup

How we connect it

  1. 1

    Connect your account

    You create a key in Perigon, a key you create and control, and paste it in once. It lives in a secrets store on your server, not with us.

  2. 2

    Set the guardrails

    Read-only by default. You choose which write actions the agent may take, and anything outside that policy gets confirmed with you first.

  3. 3

    We keep it running

    Health checks on every connection, updates handled for you, and we watch the first week of activity to make sure the work lands.

FAQ

Perigon questions, answered.

With a key you create and control. You paste it in once, it is stored in a secrets store on your server, permissions are scoped to the minimum the agent needs, and you can revoke it at any time.
The actions Perigon's API allows, the same things a person clicking around the app could do. Connections start read-only by default; write actions are confirmed against the policy you set before the agent takes them.
Connections are priced per tool on top of the base plan. Some are included, some are premium. See pricing for how connection charges work.
Standard tools are ready inside 7 business days of the setup call. We test the connection end to end, walk you through how the agent uses it, and watch the first week of activity.

Ready to put Perigon to work?

Tell us what your team runs on. We set up the connection, secure it, and your agent takes it from there.

Book a setup call → Browse all integrations

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