News Monitoring API: real-time article alerts
The 1322 news monitoring API streams new articles from 15+ monitored outlets across financial and political news in real time over WebSocket, with categories and keywords extracted into each event. Articles typically arrive before they circulate on social media, useful for prediction-market bots, event-driven trading strategies and alerting systems that need the first touch on breaking news rather than the retweet of it. Pair it with Truth Social and X monitoring in the same stream to corroborate a post against a headline within seconds.
What 1322 monitors
- •New articles from tracked sources
- •Categories
- •Keywords
How it works
Real-time delivery: WebSocket stream, REST API, Discord bot embeds, Telegram bot/cards, and signed customer webhooks. Base URL https://newsfeed.1322.io. Filtered to the accounts on your tracked list; manage that list via REST, Discord, or the dashboard.
Example news event (trimmed)
{
"platform": "news",
"eventType": "article",
"title": "Headline",
"categories": ["markets"],
"keywords": ["rate"],
"timestamp": "2026-06-07T12:00:00Z"
}Rendered in your feed
BREAKING: Fed signals rate decision ahead of schedule.
FAQ
What does it track?
New articles from the sources on your tracked list, with categories and keywords.
How fast?
Real-time WebSocket delivery.
How do I manage sources?
Via REST API or dashboard.
Delivery?
WebSocket stream, REST API, Discord bot embeds, Telegram bot/cards, and signed customer webhooks.
Backfill?
No, real-time stream only.
How is this different from news wire services (AP, Reuters data feeds)?
Wire data services are enterprise-priced and contract-based. 1322 monitors public outlets and delivers articles over the same WebSocket as your social feeds at a flat monthly rate, built for bots and alerting, not newsroom syndication.
Can a bot match articles to prediction markets?
Yes, each event carries extracted categories and keywords, so a bot can match headlines against the markets it trades (e.g. politics, rates, geopolitics) without parsing full article text.