Time Door | A time series analysis API

{
  "time_series": [
    {
      "data": {
        "2020-01-01T00:00:00Z": -0.1313,
        "2020-01-01T00:00:01Z": -0.2547,
        "2020-01-01T00:00:02Z": null,
        "2020-01-01T00:00:03Z": -0.2562,
        "2020-01-01T00:00:04Z": -2.0167,
        "2020-01-01T00:00:05Z": -1.3353,
        "2020-01-01T00:00:06Z": 1.073,
        "2020-01-01T00:00:07Z": 1.0136,
        "2020-01-01T00:00:08Z": 1.1977,
        "2020-01-01T00:00:09Z": 0.0984,
        "2020-01-01T00:00:10Z": 1.0268
      },
      "imputation": {
        "method": "ewma",
        "ma_window_size": 10
      },
      "transformations": {
        "box_cox": {
          "apply": true,
          "lambda": "auto",
          "method": "guerrero",
          "upper": 2,
          "lower": -1
        },
        "log": {
          "apply": false,
          "base": "e",
          "factor": null,
          "constant": 1
        },
        "seasonal_diff": {
          "apply": true,
          "period": "auto",
          "n_diffs": "auto",
          "test": "ss",
          "alpha": 0.05
        },
        "first_diff": {
          "apply": true,
          "n_diffs": "auto",
          "test": "kpss",
          "type": "level",
          "alpha": 0.05
        }
      }
    },
    {
      "data": {
        "2020-01-01T00:00:00Z": -1.3487,
        "2020-01-01T00:00:01Z": 1.0557,
        "2020-01-01T00:00:02Z": 1.1499,
        "2020-01-01T00:00:03Z": 1.1876,
        "2020-01-01T00:00:04Z": 0.3059,
        "2020-01-01T00:00:05Z": 0.9625,
        "2020-01-01T00:00:06Z": -1.0361,
        "2020-01-01T00:00:07Z": -0.567,
        "2020-01-01T00:00:08Z": -1.2387,
        "2020-01-01T00:00:09Z": -1.3545,
        "2020-01-01T00:00:10Z": -1.825
      },
      "imputation": {
        "method": "locf",
        "ma_window_size": 10
      },
      "transformations": {
        "box_cox": {
          "apply": false,
          "lambda": "auto",
          "method": "guerrero",
          "upper": 2,
          "lower": -1
        },
        "log": {
          "apply": true,
          "base": 10,
          "factor": 10,
          "constant": 1
        },
        "seasonal_diff": {
          "apply": false,
          "period": "auto",
          "n_diffs": "auto",
          "test": "ss",
          "alpha": 0.05
        },
        "first_diff": {
          "apply": true,
          "n_diffs": 1,
          "test": "kpss",
          "type": "level",
          "alpha": 0.05
        }
      }
    }
  ]
}

Example request with 2 time series and individual data imputation and transformation parameters. The API Docs provide full request examples.