<?xml version="1.0" encoding="UTF-8"?>
<!--
  NLWeb Schema Feeds — SIMOSphere AI
  Maps structured data sources for AI agent discovery.
  Engineered at SIMO GmbH, Aschaffenburg, Germany.
-->
<schemamap xmlns="https://schema.org/schemamap" version="1.0">
  <feed>
    <name>SIMOSphere AI — Homepage (JSON-LD)</name>
    <url>https://simosphereai.com</url>
    <type>application/ld+json</type>
    <description>Homepage structured data: Organization, WebSite, SoftwareApplication, and breadcrumbs in JSON-LD format.</description>
  </feed>
  <feed>
    <name>SIMOSphere AI — XML Sitemap</name>
    <url>https://simosphereai.com/sitemap.xml</url>
    <type>application/xml</type>
    <description>Full sitemap of all public pages including marketing, documentation, pricing, compliance, and developer resources.</description>
  </feed>
  <feed>
    <name>SIMOSphere AI — OpenAPI Specification (Marketing Hub)</name>
    <url>https://simosphereai.com/openapi.json</url>
    <type>application/openapi+json</type>
    <description>OpenAPI 3.1 specification for the marketing hub API: chat, NLWeb, MCP discovery, catalogues, and health endpoints.</description>
  </feed>
  <feed>
    <name>SIMOSphere AI — OpenAPI Specification (Platform Gateway)</name>
    <url>https://api.simosphereai.com/openapi.json</url>
    <type>application/openapi+json</type>
    <description>OpenAPI 3.1 specification for the platform gateway API: chat completions, embeddings, models, files, admin, billing, and agent endpoints.</description>
  </feed>
  <feed>
    <name>SIMOSphere AI — LLM-Readable Summary</name>
    <url>https://simosphereai.com/llms.txt</url>
    <type>text/plain</type>
    <description>Concise product summary optimised for LLM consumption: capabilities, pricing, use cases, constraints, and links.</description>
  </feed>
  <feed>
    <name>SIMOSphere AI — Full Technical Reference</name>
    <url>https://simosphereai.com/llms-full.txt</url>
    <type>text/plain</type>
    <description>Comprehensive technical documentation: quickstart, authentication, API reference, MCP server, rate limits, error codes, data sovereignty, compliance, idempotency, and versioning.</description>
  </feed>
  <feed>
    <name>SIMOSphere AI — MCP Server Card</name>
    <url>https://simosphereai.com/.well-known/mcp/server-card.json</url>
    <type>application/json</type>
    <description>Model Context Protocol server metadata: transport, authentication, available tools with input schemas, and compliance flags.</description>
  </feed>
  <feed>
    <name>SIMOSphere AI — API Catalog (RFC 9727)</name>
    <url>https://simosphereai.com/.well-known/api-catalog</url>
    <type>application/linkset+json</type>
    <description>RFC 9727-compliant API catalog linking to all OpenAPI specs, LLM-readable files, and MCP server descriptions.</description>
  </feed>
  <feed>
    <name>SIMOSphere AI — Consulting Catalogue</name>
    <url>https://simosphereai.com/api/consulting.json</url>
    <type>application/json</type>
    <description>SIMO consulting packages with pricing, durations, margin tiers, and booking URLs.</description>
  </feed>
  <feed>
    <name>SIMOSphere AI — Training Catalogue</name>
    <url>https://simosphereai.com/api/training.json</url>
    <type>application/json</type>
    <description>SIMO training offerings with formats, audiences, durations, and booking URLs.</description>
  </feed>
  <feed>
    <name>SIMOSphere AI — Hardware Catalogue</name>
    <url>https://simosphereai.com/api/hardware.json</url>
    <type>application/json</type>
    <description>SIMOSphere AI hardware boxes (Pi, Nuc, custom-build) with specifications and purchase URLs.</description>
  </feed>
  <feed>
    <name>SIMOSphere AI — Pricing (Markdown)</name>
    <url>https://simosphereai.com/pricing.md</url>
    <type>text/markdown</type>
    <description>Pricing plans in Markdown format for LLM consumption and citation.</description>
  </feed>
</schemamap>
