{
  "openapi": "3.1.0",
  "info": {
    "title": "Ex Machina Industrial IoT API & Data Services",
    "version": "1.0.0",
    "description": "API endpoints, case studies, and machine-readable data feeds provided by Ex Machina (EXM P.C.) for critical infrastructure operators.",
    "contact": {
      "name": "Ex Machina Engineering",
      "email": "hello@exm.gr",
      "url": "https://exm.gr"
    },
    "license": {
      "name": "Proprietary / Open Access where specified",
      "url": "https://exm.gr/terms"
    }
  },
  "servers": [
    {
      "url": "https://exm.gr",
      "description": "Production Web & Data Server"
    }
  ],
  "paths": {
    "/case-studies/{slug}.md": {
      "get": {
        "summary": "Get Case Study in Raw Markdown",
        "description": "Retrieves the full technical case study and deployment data in clean Markdown format.",
        "operationId": "getCaseStudyMarkdown",
        "parameters": [
          {
            "name": "slug",
            "in": "path",
            "required": true,
            "description": "The case study slug (e.g. olympia-odos-aid, pct-wind-forecasting, aia-environmental-monitoring, fysiko-aerio-gas-forecasting, openeliot-water-monitoring, tunnel-maintenance)",
            "schema": {
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "Raw markdown document",
            "content": {
              "text/plain": {
                "schema": {
                  "type": "string"
                }
              }
            }
          },
          "404": {
            "description": "Case study not found"
          }
        }
      }
    },
    "/llms.txt": {
      "get": {
        "summary": "Get LLM / AI Agent Index",
        "description": "Lightweight Markdown manifest designed for AI agents and LLM scrapers.",
        "operationId": "getLlmsIndex",
        "responses": {
          "200": {
            "description": "Markdown index",
            "content": {
              "text/markdown": {
                "schema": {
                  "type": "string"
                }
              }
            }
          }
        }
      }
    },
    "/llms-full.txt": {
      "get": {
        "summary": "Get Full Technical Knowledge Base",
        "description": "Complete, concatenated technical documentation, case studies, and engineering background.",
        "operationId": "getLlmsFull",
        "responses": {
          "200": {
            "description": "Full Markdown knowledge base",
            "content": {
              "text/markdown": {
                "schema": {
                  "type": "string"
                }
              }
            }
          }
        }
      }
    },
    "/.well-known/mcp.json": {
      "get": {
        "summary": "Get Model Context Protocol (MCP) Manifest",
        "description": "Discoverable MCP server and resource configuration for autonomous AI agents.",
        "operationId": "getMcpManifest",
        "responses": {
          "200": {
            "description": "MCP JSON manifest",
            "content": {
              "application/json": {
                "schema": {
                  "type": "object"
                }
              }
            }
          }
        }
      }
    }
  },
  "externalDocs": {
    "description": "WeatherXM Environmental Intelligence Data & API Documentation",
    "url": "https://docs.weatherxm.com"
  }
}
