News Data for AI
Most LLMs are bad at news. They give you outdated information, miss coverage entirely, and point to sources you can't verify.
Connecting your LLM directly to a news API fixes that. You ask questions in plain language and get back real articles with the sources attached.
In this session, Joshua Dziabiak (Founder & CEO @ Perigon) will walk through how to connect Perigon's API and MCP server to the AI tools you already use.
We'll get into:
How to connect Perigon's MCP server to Claude, ChatGPT, or your own agent.
What you can actually pull: articles, journalists, sources, companies, people, sentiment, and story clusters.
How to write prompts that return usable, sourced results.
How to build a repeatable setup your team can use day to day.
After this session, you'll be able to do this kind of research just by asking:
Reporter research: who covers your space, what they've published lately, and how they frame it.
Competitive coverage: how your client stacks up against everyone else in their category.
Topic research: which outlets own a subject, and whether it's climbing or fading.
Story tracking: who broke it, who followed, and who's getting quoted.
For attendees:
Everyone who attends live gets extended Perigon API access afterward, so you have room to try what you learned. We'll share the details on the call.