A field guide to a
more connected web.

Start with a good question.

What makes an update recognizable? How does a source become a reliable record? When does a feed become useful context for an AI workflow? These are the questions behind FeedsAPI.com.

The site is a practical reading resource for developers and teams working through feed design decisions. It brings ten related topics into one navigable space, from RSS and structured data to prompt libraries, model watchlists, and bounded agent workflows.

Patterns, not product promises.

The topic names describe areas of study. FeedsAPI.com does not offer a hosted feed API, issue API keys, operate an AI model, or run agents on your behalf. The guides use design examples to help you think about your own implementation. The site’s own RSS feed publishes its reading material.

You can move through the content in any order. New to feeds? Begin with the architecture overview. Already building something? Open Feeds API Lab and choose the collection closest to your current question.

Keep the evidence close.

Each Lab article connects its topic to a relevant primary source, such as a format specification, standards document, or original research. Design recommendations are presented as choices to evaluate for your own task, not universal guarantees. The point is to make a decision more understandable—not to hide it behind terminology.

Examples are intentionally small enough to inspect. A duplicate item, a missing timestamp, or an unsupported answer can reveal more about a design than a long success-only demonstration. Follow those edges and the larger workflow becomes easier to reason about.

A conversation worth continuing.

Corrections and practical questions help sharpen the reading experience. Send a note when an explanation needs more context or a source link needs attention. Include the relevant page and the specific point so the issue is easy to find. Contact FeedsAPI.com to get in touch.