{
  "opencollection": "1.0.0",
  "info": {
    "name": "ThoughtSpot Public REST 10.1.0.cl 10.13.0.cl API",
    "version": "2.0"
  },
  "request": {
    "auth": {
      "type": "bearer",
      "token": "{{bearerToken}}"
    }
  },
  "items": [
    {
      "info": {
        "name": "10.13.0.cl",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "getRelevantQuestions",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "{base-url}/api/rest/2.0/ai/relevant-questions/",
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "\n<span class=\"since-beta-tag\">Beta</span> <span class=\"since-beta-tag\">Version: 10.13.0.cl or later</span>\n\nBreaks down a natural language query into a series of smaller analytical sub-questions, each mapped to a relevant data source.\n\nRequires `CAN_USE_SPOTTER` privilege and at least view-level access to the referenced metadata objects.\n\n#### Usage guidelines\n\nThe request must include:\n- `query`: the natural language question to decompose into analytical sub-questions\n- `metadata_context`: at l"
        }
      ]
    }
  ],
  "bundled": true
}