01 / THE INPUT
Follow a source.
Begin with the information you need. Learn how RSS, news, and structured data describe items, updates, and the people behind them.
Explore RSS feeds ↗✳ LESS NOISE. MORE POSSIBILITY.Fresh feeds.
Fresh feeds.
Brighter
ideas.
Make sense of the feed-powered web. Practical guides for RSS, news, data, LLMs, and the agents that connect them.
✓ 10 feed topics✓ 10 in-depth guides✓ Open-web thinking
THE FEED STUDIO
01 / FIND YOUR SOURCESRSS & news
↗↓
02 / GIVE THEM STRUCTUREClean records
↗↓
03 / MAKE SOMETHING USEFULApps & ideas
↗A CONCEPTUAL WORKFLOW↳ KEEP EXPLORING
THE FEED UNIVERSE
New to feeds? Start here ↗One universe. Ten ways in.
Start with a format, follow an idea, or find the pattern your next project needs.
Feeds API
Feed foundations
AI Feeds API
AI enrichment
Data Feeds API
Structured data
LLM Feeds API
Fresh context
AI Prompts Feeds API
Prompt libraries
Server Feeds API
Dependable delivery
RSS Feeds API
The open-web classic
News Feeds API
News with context
AI Model Feeds API
Model intelligence
Agent AI Feeds API
Bounded automation
FROM INFORMATION TO INSPIRATION
Find it. Shape it. Build with it.
A useful way to think about feed-powered projects, one layer at a time.
02 / THE FOUNDATION
Keep the meaning.
Make identifiers, timestamps, and provenance part of your plan. Give every record enough context to stay useful after it leaves its source.
Get into data design ↗03 / THE POSSIBILITY
Add a useful layer.
Explore summaries, question answering, and bounded agent workflows. Keep the original evidence close and the permission boundaries clear.
Discover AI workflows ↗FRESH FROM FEEDS API LAB
Read all 10 articles ↗Good ideas. Useful details.
Go beyond the headline with practical, source-linked field guides.
AI workflows
AI Feeds API Patterns: Enrich Content Without Losing the Source
Design a bounded enrichment workflow for summaries and labels, with source evidence, review states, and sensible failure handling.
AI workflows
AI Model Feeds API: Build a Useful Model Release Watchlist
Track model releases with revision identifiers, model-card evidence, evaluation context, and a clear distinction between claims and measurements.
AI workflows
Agent AI Feeds API: Design Event-Driven Workflows with Guardrails
Connect feed events to bounded agent workflows with explicit permissions, idempotent actions, approval steps, and meaningful stop conditions.
PICK YOUR NEXT CHAPTERStart with a format.
Start with a format.
Build for an outcome.
No single feed pattern fits every project. Choose a reading path based on what you are trying to understand or build.
Meet your field guide ↗A FEW THINGS, CLEARED UPCurious?
Curious?
Good.
A little context before you follow the next link.
What is a feeds API?
It is an interface for consuming a changing collection of structured items. The right design depends on whether the collection represents publications, current state, or individual change events. Our Feeds API guide starts with those distinctions.
Is FeedsAPI.com a hosted API service?
FeedsAPI.com is a learning resource and field guide. The topic pages explain design patterns, not live endpoints, API keys, hosted models, or commercial feed products. You can follow the site’s own published content through its RSS feed.
Where should I start with RSS and news feeds?
Begin with the RSS topic guide for item identity and content handling. Then explore news workflows for source attribution, story grouping, and corrections.
How do feeds connect to LLMs and agents?
The guides explore how source items can become selected context, enrichment suggestions, or bounded workflow triggers. Each path keeps evidence and permissions explicit. Start with LLM context or agent workflow design.
STAY CURIOUS. KEEP BUILDING.Your next idea starts
Your next idea starts
with a feed.
Pick a topic. Find a useful pattern. Make it your own.