{
  "info": {
    "name": "Eden AI — mcp.ai",
    "description": "REST API for the Eden AI MCP. Set {{apiKey}} to a workspace key (sk_live_…) created at https://mcp.ai/settings/api-keys.",
    "schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
  },
  "auth": {
    "type": "bearer",
    "bearer": [
      {
        "key": "token",
        "value": "{{apiKey}}",
        "type": "string"
      }
    ]
  },
  "variable": [
    {
      "key": "baseUrl",
      "value": "https://api.mcp.ai/api/eden_ai",
      "type": "string"
    },
    {
      "key": "apiKey",
      "value": "sk_live_...",
      "type": "string"
    }
  ],
  "item": [
    {
      "name": "eden_ai_count_anthropic_tokens",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/count/anthropic/tokens",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "count",
            "anthropic",
            "tokens"
          ]
        },
        "description": "Count input tokens for an Anthropic-format message request before generation, including system content and tool definitions.",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"model\": \"\",\n  \"tools\": \"\",\n  \"system\": \"\",\n  \"messages\": \"\",\n  \"tool_choice\": {}\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "eden_ai_create_anthropic_message",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/create/anthropic/message",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "create",
            "anthropic",
            "message"
          ]
        },
        "description": "Generate a non-streaming Anthropic-compatible message with content blocks, stop reason, token usage, provider metadata, and Eden AI cost. Each call runs a paid model and consumes Eden AI credits.",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"model\": \"\",\n  \"top_p\": 0,\n  \"system\": \"\",\n  \"messages\": \"\",\n  \"fallbacks\": \"\",\n  \"max_tokens\": 0,\n  \"temperature\": 0,\n  \"stop_sequences\": \"\"\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "eden_ai_create_chat_completion",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/create/chat/completion",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "create",
            "chat",
            "completion"
          ]
        },
        "description": "Generate a non-streaming OpenAI-compatible chat completion with a current Eden AI model and return its choices, token usage, provider, and cost. Each call runs a paid model and consumes Eden AI credit",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"model\": \"\",\n  \"messages\": \"\",\n  \"fallbacks\": \"\",\n  \"max_tokens\": 0,\n  \"temperature\": 0,\n  \"response_format\": {},\n  \"reasoning_effort\": \"\",\n  \"router_candidates\": \"\"\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "eden_ai_create_embeddings",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/create/embeddings",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "create",
            "embeddings"
          ]
        },
        "description": "Create embeddings for one text or a batch of texts and return vectors with model, usage, provider, and cost metadata. Each call runs a paid model and consumes Eden AI credits.",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"user\": \"\",\n  \"input\": \"\",\n  \"model\": \"\",\n  \"dimensions\": 0,\n  \"encoding_format\": \"\"\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "eden_ai_create_response",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/create/response",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "create",
            "response"
          ]
        },
        "description": "Create or continue a synchronous OpenAI Responses-compatible text response, stored by default for later retrieval, and return its ID, structured output, text, usage, provider, and cost.",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"input\": \"\",\n  \"model\": \"\",\n  \"store\": false,\n  \"fallbacks\": \"\",\n  \"temperature\": 0,\n  \"instructions\": \"\",\n  \"max_output_tokens\": 0,\n  \"previous_response_id\": \"\"\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "eden_ai_discover_capabilities",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/discover/capabilities",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "discover",
            "capabilities"
          ]
        },
        "description": "Find current Eden AI models or inspect Universal AI feature schemas, providers, pricing, and regions before an execution call.",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"query\": \"\",\n  \"region\": \"\",\n  \"feature\": \"\",\n  \"provider\": \"\",\n  \"model_type\": \"\",\n  \"subfeature\": \"\",\n  \"max_results\": 0,\n  \"discovery_type\": \"\"\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "eden_ai_get_cost_overview",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/get/cost/overview",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "get",
            "cost",
            "overview"
          ]
        },
        "description": "Return current account credits and, when a date range is supplied, aggregated consumption filtered by provider or subfeature.",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"end_date\": \"\",\n  \"provider\": \"\",\n  \"start_date\": \"\",\n  \"subfeature\": \"\",\n  \"aggregation\": \"\"\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "eden_ai_get_response",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/get/response",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "get",
            "response"
          ]
        },
        "description": "Retrieve a previously stored Responses API object by ID, including its status, text output, structured output, usage, and canonical model.",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"response_id\": \"\"\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "eden_ai_moderate_text",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/moderate/text",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "moderate",
            "text"
          ]
        },
        "description": "Classify one text or a batch of texts for safety categories and return flags, category scores, applied input types, provider, and cost. Each call runs a paid model and consumes Eden AI credits.",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"input\": \"\",\n  \"model\": \"\"\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "eden_ai_run_universal_ai",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/run/universal/ai",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "run",
            "universal",
            "ai"
          ]
        },
        "description": "Run one synchronous Eden AI Universal AI feature using a current model and feature-specific input. Call DISCOVER_CAPABILITIES first for the exact model ID and runtime input schema. Returns normalized ",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"input\": {},\n  \"model\": \"\",\n  \"fallbacks\": \"\",\n  \"provider_params\": {},\n  \"show_original_response\": false\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    }
  ]
}