About
/get-headless is a publication and knowledge base about the headless economy: the emerging market in which agents act as customers, users, buyers, and consumers of digital goods and services.
In this economy, valuable products are increasingly designed not only for humans navigating screens, but for software discovering, evaluating, accessing, paying for, and consuming capabilities directly through APIs, CLIs, SDKs, MCP tools, structured content, and other machine-native surfaces.
What we cover
- Businesses built primarily for agent demand
- Incumbents adapting products for machine-native consumption
- APIs, CLIs, SDKs, MCP tools, agent protocols, and programmable surfaces
- Software, data, compute, knowledge, content, and services consumed by agents
- Pricing and access models for machine consumers
- Agent discovery, selection, and distribution mechanisms
- Trust, identity, authorization, and observability for agent use
- The economics of ongoing agent consumption
Editorial lens
Every story we publish should be evaluable through one or more of these questions:
- Does this create or expand machine-native demand?
- Does this make a business more usable by agents?
- Does this alter discovery, selection, access, or ongoing consumption?
- Does this introduce a new pricing or payment model for machine consumers?
- Does this change trust, authorization, or control?
- Does this signal the emergence of a new headless business category?
What we don't cover
- Generic AI news
- Consumer chatbot features without market significance
- GUI-centric product launches with no machine-native relevance
- Ecommerce trends unless they reveal something about headless markets
Agent-first architecture
This site practices what it covers. Every piece of content is available through structured, machine-native endpoints. The data layer is the primary product. The website you're reading is one rendering of it.
- JSON API — all articles as structured data
- Knowledge Base API — all reference content
- RSS and JSON Feed — syndication
- llms.txt — LLM discovery index
- llms-full.txt — full content for LLM ingestion