This post is a continuation of a microservice I've been building. You can check out my last post in the series here.
TL;DR – I built a weekly pipeline that pulls the ten newest articles from a news outlet, picks the one that actually makes a falsifiable claim, fills in any missing summary, finds two independent proofs, and opens PRs with ready‑to‑ingest claims/ and proofs/ files. All of this runs on a couple of Python scripts, 2 custom OpenRouter skills, and two GitHub Actions.
In my last post I covered how I automated ingestion of top news sources by combining Firecrawl, OpenRouter API, and Github Action workflows. In this post I'll implement the same pattern for news source claims and their proofs.
The first challenge I ran into was to figure out a way to fetch recent articles published by a news source. Luckily, I found NewsData.IO which provides an API to search, collect and track worldwide news. The NewsData.io free tier gives me 200 API credits per day, more than enough for a weekly run across 12 sources (for now at least 😌).
1️⃣ Fetch the latest articles - newsdata_io.py
