{
  "opencollection": "1.0.0",
  "info": {
    "name": "Adaption Adaptive Data Datasets Upload API",
    "version": "v1"
  },
  "request": {
    "auth": {
      "type": "bearer",
      "token": "{{bearerToken}}"
    }
  },
  "items": [
    {
      "info": {
        "name": "Upload",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Initiate a dataset upload",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.prod.adaptionlabs.ai/api/v1/datasets/upload/initiate",
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Initiate a dataset upload"
        },
        {
          "info": {
            "name": "Complete a dataset upload and trigger processing",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.prod.adaptionlabs.ai/api/v1/datasets/upload/complete",
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Complete a dataset upload and trigger processing"
        },
        {
          "info": {
            "name": "Complete a file upload and trigger processing",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.prod.adaptionlabs.ai/api/v1/datasets/:dataset_id/upload/complete",
            "params": [
              {
                "name": "dataset_id",
                "value": "",
                "type": "path",
                "description": "Unique dataset identifier."
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "File uploads only. Call after uploading bytes to the presigned URL from POST /datasets. Verifies the file exists in S3, then triggers the preprocessing pipeline."
        }
      ]
    }
  ],
  "bundled": true
}