DTPR for AI is the AI-focused surface of the Digital Trust for Places & Routines standard. It bundles four integration surfaces so an AI agent, a web client, or a server-side renderer can describe data-collecting technologies in public spaces with a shared vocabulary.
MCP server
9 tools and 1 resource over Streamable HTTP at
https://api.dtpr.io/mcp — list, fetch, validate, render, resolve icons.REST API (v2)
Public, read-only JSON + SVG API at
https://api.dtpr.io/api/v2. Schemas, categories, elements, validation, icons.Quickstarts
- MCP in five minutes —
initialize→tools/call→resources/read. - REST in three calls — list schemas, fetch elements, validate a datachain.
- UI in a Vue app — render a datachain with
<DtprDatachain>.
Background
- What is DTPR for AI? — Who this documentation is for.
- Concepts — Datachains, elements, categories, versions, content hashes.
- Changelog — What landed when.
For the full DTPR standard — design principles, signage, governance, v1 REST — see docs.dtpr.io.