{
  "info": {
    "_postman_id": "b1d2c3e4-5f60-4a71-8b92-0c1d2e3f4a50",
    "name": "PromptArmor API",
    "description": "PromptArmor LLM application security detection API. Submits content, LLM input, and LLM output to PromptArmor's detection engine and returns a verdict (containsInjection) for known threat classes such as data exfiltration, phishing, system manipulation, and adversarial instructions. Authenticated with an Api-Key header.",
    "schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
  },
  "auth": {
    "type": "apikey",
    "apikey": [
      {
        "key": "key",
        "value": "Api-Key",
        "type": "string"
      },
      {
        "key": "value",
        "value": "{{apiKey}}",
        "type": "string"
      },
      {
        "key": "in",
        "value": "header",
        "type": "string"
      }
    ]
  },
  "variable": [
    {
      "key": "baseUrl",
      "value": "https://api.promptarmor.com"
    },
    {
      "key": "apiKey",
      "value": ""
    }
  ],
  "item": [
    {
      "name": "Content Check",
      "item": [
        {
          "name": "Check content for adversarial / injected instructions",
          "request": {
            "method": "POST",
            "header": [
              {
                "key": "Content-Type",
                "value": "application/json"
              },
              {
                "key": "Api-Key",
                "value": "{{apiKey}}"
              }
            ],
            "url": {
              "raw": "{{baseUrl}}/v1/check_content",
              "host": [
                "{{baseUrl}}"
              ],
              "path": [
                "v1",
                "check_content"
              ]
            },
            "body": {
              "mode": "raw",
              "raw": "{\n  \"content\": \"<string>\",\n  \"session_id\": \"<string>\",\n  \"detectors\": [\"<string>\"]\n}",
              "options": {
                "raw": {
                  "language": "json"
                }
              }
            },
            "description": "Submits content to the PromptArmor detection engine and returns a verdict including a containsInjection boolean."
          },
          "response": []
        }
      ]
    },
    {
      "name": "Analyze",
      "item": [
        {
          "name": "Analyze LLM input",
          "request": {
            "method": "POST",
            "header": [
              {
                "key": "Content-Type",
                "value": "application/json"
              },
              {
                "key": "Api-Key",
                "value": "{{apiKey}}"
              }
            ],
            "url": {
              "raw": "{{baseUrl}}/v1/analyze/input",
              "host": [
                "{{baseUrl}}"
              ],
              "path": [
                "v1",
                "analyze",
                "input"
              ]
            },
            "body": {
              "mode": "raw",
              "raw": "{\n  \"text\": \"<string>\",\n  \"session_id\": \"<string>\",\n  \"detectors\": [\"<string>\"]\n}",
              "options": {
                "raw": {
                  "language": "json"
                }
              }
            },
            "description": "Analyzes LLM input (for example an email being summarized) and runs the detectors, returning a verdict. When session_id is supplied, session-based anomaly detection is also run."
          },
          "response": []
        },
        {
          "name": "Analyze LLM output",
          "request": {
            "method": "POST",
            "header": [
              {
                "key": "Content-Type",
                "value": "application/json"
              },
              {
                "key": "Api-Key",
                "value": "{{apiKey}}"
              }
            ],
            "url": {
              "raw": "{{baseUrl}}/v1/analyze/output",
              "host": [
                "{{baseUrl}}"
              ],
              "path": [
                "v1",
                "analyze",
                "output"
              ]
            },
            "body": {
              "mode": "raw",
              "raw": "{\n  \"text\": \"<string>\",\n  \"session_id\": \"<string>\",\n  \"detectors\": [\"<string>\"]\n}",
              "options": {
                "raw": {
                  "language": "json"
                }
              }
            },
            "description": "Analyzes LLM output (for example a generated summary) and runs the detectors, returning a verdict. When session_id is supplied, session-based anomaly detection is also run."
          },
          "response": []
        }
      ]
    }
  ]
}