{
  "opencollection": "1.0.0",
  "info": {
    "name": "PromptArmor API",
    "version": "1.0"
  },
  "request": {
    "auth": {
      "type": "apikey",
      "key": "Api-Key",
      "value": "{{apiKey}}",
      "in": "header"
    }
  },
  "items": [
    {
      "info": {
        "name": "Content Check",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Check content for adversarial / injected instructions",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.promptarmor.com/v1/check_content",
            "body": {
              "type": "json",
              "data": "{\n  \"content\": \"<string>\",\n  \"session_id\": \"<string>\",\n  \"detectors\": [\"<string>\"]\n}"
            }
          },
          "docs": "Submits content to the PromptArmor detection engine and returns a verdict including a containsInjection boolean."
        }
      ]
    },
    {
      "info": {
        "name": "Analyze",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Analyze LLM input",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.promptarmor.com/v1/analyze/input",
            "body": {
              "type": "json",
              "data": "{\n  \"text\": \"<string>\",\n  \"session_id\": \"<string>\",\n  \"detectors\": [\"<string>\"]\n}"
            }
          },
          "docs": "Analyzes LLM input and runs the detectors, returning a verdict. session_id enables session-based anomaly detection."
        },
        {
          "info": {
            "name": "Analyze LLM output",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.promptarmor.com/v1/analyze/output",
            "body": {
              "type": "json",
              "data": "{\n  \"text\": \"<string>\",\n  \"session_id\": \"<string>\",\n  \"detectors\": [\"<string>\"]\n}"
            }
          },
          "docs": "Analyzes LLM output and runs the detectors, returning a verdict. session_id enables session-based anomaly detection."
        }
      ]
    }
  ]
}