diff --git a/package.json b/package.json
index fc076f17b7407c0..bc44ce05249e684 100644
--- a/package.json
+++ b/package.json
@@ -509,6 +509,7 @@
     "@kbn/ml-agg-utils": "link:x-pack/packages/ml/agg_utils",
     "@kbn/ml-anomaly-utils": "link:x-pack/packages/ml/anomaly_utils",
     "@kbn/ml-category-validator": "link:x-pack/packages/ml/category_validator",
+    "@kbn/ml-chi2test": "link:x-pack/packages/ml/chi2test",
     "@kbn/ml-data-frame-analytics-utils": "link:x-pack/packages/ml/data_frame_analytics_utils",
     "@kbn/ml-data-grid": "link:x-pack/packages/ml/data_grid",
     "@kbn/ml-date-picker": "link:x-pack/packages/ml/date_picker",
diff --git a/tsconfig.base.json b/tsconfig.base.json
index a347a249b68ca19..fd2ca6d57a76f4f 100644
--- a/tsconfig.base.json
+++ b/tsconfig.base.json
@@ -976,6 +976,8 @@
       "@kbn/ml-anomaly-utils/*": ["x-pack/packages/ml/anomaly_utils/*"],
       "@kbn/ml-category-validator": ["x-pack/packages/ml/category_validator"],
       "@kbn/ml-category-validator/*": ["x-pack/packages/ml/category_validator/*"],
+      "@kbn/ml-chi2test": ["x-pack/packages/ml/chi2test"],
+      "@kbn/ml-chi2test/*": ["x-pack/packages/ml/chi2test/*"],
       "@kbn/ml-data-frame-analytics-utils": ["x-pack/packages/ml/data_frame_analytics_utils"],
       "@kbn/ml-data-frame-analytics-utils/*": ["x-pack/packages/ml/data_frame_analytics_utils/*"],
       "@kbn/ml-data-grid": ["x-pack/packages/ml/data_grid"],
diff --git a/x-pack/packages/ml/chi2test/README.md b/x-pack/packages/ml/chi2test/README.md
new file mode 100644
index 000000000000000..ac9a4c7cf52f1ee
--- /dev/null
+++ b/x-pack/packages/ml/chi2test/README.md
@@ -0,0 +1,3 @@
+# @kbn/ml-chi2test
+
+Empty package generated by @kbn/generate
diff --git a/x-pack/packages/ml/chi2test/compute_chi_2_pvalue.ts b/x-pack/packages/ml/chi2test/compute_chi_2_pvalue.ts
new file mode 100644
index 000000000000000..c9c554861d1ac2c
--- /dev/null
+++ b/x-pack/packages/ml/chi2test/compute_chi_2_pvalue.ts
@@ -0,0 +1,45 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the Elastic License
+ * 2.0; you may not use this file except in compliance with the Elastic License
+ * 2.0.
+ */
+
+import { criticalTableLookup } from './critical_table_lookup';
+import type { Histogram } from './types';
+
+/**
+ * Compute the p-value for how similar the datasets are.
+ * Returned value ranges from 0 to 1, with 1 meaning the datasets are identical.
+ * @param normalizedBaselineTerms
+ * @param normalizedDriftedTerms
+ */
+export const computeChi2PValue = (
+  normalizedBaselineTerms: Histogram[],
+  normalizedDriftedTerms: Histogram[]
+) => {
+  // Get all unique keys from both arrays
+  const allKeys: string[] = Array.from(
+    new Set([
+      ...normalizedBaselineTerms.map((term) => term.key.toString()),
+      ...normalizedDriftedTerms.map((term) => term.key.toString()),
+    ])
+  ).slice(0, 100);
+
+  // Calculate the chi-squared statistic and degrees of freedom
+  let chiSquared: number = 0;
+  const degreesOfFreedom: number = allKeys.length - 1;
+
+  if (degreesOfFreedom === 0) return 1;
+
+  allKeys.forEach((key) => {
+    const baselineTerm = normalizedBaselineTerms.find((term) => term.key === key);
+    const driftedTerm = normalizedDriftedTerms.find((term) => term.key === key);
+
+    const observed: number = driftedTerm?.percentage ?? 0;
+    const expected: number = baselineTerm?.percentage ?? 0;
+    chiSquared += Math.pow(observed - expected, 2) / (expected > 0 ? expected : 1e-6); // Prevent divide by zero
+  });
+
+  return criticalTableLookup(chiSquared, degreesOfFreedom);
+};
diff --git a/x-pack/packages/ml/chi2test/constants.ts b/x-pack/packages/ml/chi2test/constants.ts
new file mode 100644
index 000000000000000..39679a58febf403
--- /dev/null
+++ b/x-pack/packages/ml/chi2test/constants.ts
@@ -0,0 +1,1015 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the Elastic License
+ * 2.0; you may not use this file except in compliance with the Elastic License
+ * 2.0.
+ */
+
+/**
+ * Table generated from following python code
+ df = range(1,100)
+
+ # levels of significance
+ significance_levels = np.concatenate((np.logspace(-6, -3, 3), np.linspace(0.01, 0.99, 99)))
+
+ # create the table
+ table = []
+ for d in df:
+   row = []
+   for l in significance_levels:
+     row.append(round(stats.chi2.ppf(1 - l, d), 2))
+   table.append(row)
+
+ critical_value_table = np.array(table)
+ * until we find a low size replacement for doing chi2test in js
+ */
+export const CRITICAL_VALUES_TABLE = [
+  [
+    23.93, 17.32, 10.83, 6.63, 5.41, 4.71, 4.22, 3.84, 3.54, 3.28, 3.06, 2.87, 2.71, 2.55, 2.42,
+    2.29, 2.18, 2.07, 1.97, 1.88, 1.8, 1.72, 1.64, 1.57, 1.5, 1.44, 1.38, 1.32, 1.27, 1.22, 1.17,
+    1.12, 1.07, 1.03, 0.99, 0.95, 0.91, 0.87, 0.84, 0.8, 0.77, 0.74, 0.71, 0.68, 0.65, 0.62, 0.6,
+    0.57, 0.55, 0.52, 0.5, 0.48, 0.45, 0.43, 0.41, 0.39, 0.38, 0.36, 0.34, 0.32, 0.31, 0.29, 0.27,
+    0.26, 0.25, 0.23, 0.22, 0.21, 0.19, 0.18, 0.17, 0.16, 0.15, 0.14, 0.13, 0.12, 0.11, 0.1, 0.09,
+    0.09, 0.08, 0.07, 0.06, 0.06, 0.05, 0.05, 0.04, 0.04, 0.03, 0.03, 0.02, 0.02, 0.02, 0.01, 0.01,
+    0.01, 0.01, 0.0, 0.0, 0.0, 0.0, 0.0,
+  ],
+  [
+    27.63, 20.72, 13.82, 9.21, 7.82, 7.01, 6.44, 5.99, 5.63, 5.32, 5.05, 4.82, 4.61, 4.41, 4.24,
+    4.08, 3.93, 3.79, 3.67, 3.54, 3.43, 3.32, 3.22, 3.12, 3.03, 2.94, 2.85, 2.77, 2.69, 2.62, 2.55,
+    2.48, 2.41, 2.34, 2.28, 2.22, 2.16, 2.1, 2.04, 1.99, 1.94, 1.88, 1.83, 1.78, 1.74, 1.69, 1.64,
+    1.6, 1.55, 1.51, 1.47, 1.43, 1.39, 1.35, 1.31, 1.27, 1.23, 1.2, 1.16, 1.12, 1.09, 1.06, 1.02,
+    0.99, 0.96, 0.92, 0.89, 0.86, 0.83, 0.8, 0.77, 0.74, 0.71, 0.68, 0.66, 0.63, 0.6, 0.58, 0.55,
+    0.52, 0.5, 0.47, 0.45, 0.42, 0.4, 0.37, 0.35, 0.33, 0.3, 0.28, 0.26, 0.23, 0.21, 0.19, 0.17,
+    0.15, 0.12, 0.1, 0.08, 0.06, 0.04, 0.02,
+  ],
+  [
+    30.66, 23.51, 16.27, 11.34, 9.84, 8.95, 8.31, 7.81, 7.41, 7.06, 6.76, 6.49, 6.25, 6.03, 5.83,
+    5.65, 5.48, 5.32, 5.17, 5.02, 4.89, 4.76, 4.64, 4.53, 4.41, 4.31, 4.21, 4.11, 4.01, 3.92, 3.83,
+    3.75, 3.66, 3.58, 3.51, 3.43, 3.36, 3.28, 3.21, 3.14, 3.08, 3.01, 2.95, 2.88, 2.82, 2.76, 2.7,
+    2.64, 2.59, 2.53, 2.47, 2.42, 2.37, 2.31, 2.26, 2.21, 2.16, 2.11, 2.06, 2.01, 1.96, 1.92, 1.87,
+    1.82, 1.78, 1.73, 1.69, 1.64, 1.6, 1.55, 1.51, 1.47, 1.42, 1.38, 1.34, 1.3, 1.25, 1.21, 1.17,
+    1.13, 1.09, 1.05, 1.01, 0.96, 0.92, 0.88, 0.84, 0.8, 0.76, 0.71, 0.67, 0.63, 0.58, 0.54, 0.49,
+    0.45, 0.4, 0.35, 0.3, 0.25, 0.18, 0.11,
+  ],
+  [
+    33.38, 26.0, 18.47, 13.28, 11.67, 10.71, 10.03, 9.49, 9.04, 8.67, 8.34, 8.04, 7.78, 7.54, 7.32,
+    7.11, 6.92, 6.74, 6.58, 6.42, 6.27, 6.13, 5.99, 5.86, 5.73, 5.61, 5.5, 5.39, 5.28, 5.17, 5.07,
+    4.97, 4.88, 4.79, 4.7, 4.61, 4.52, 4.44, 4.36, 4.28, 4.2, 4.12, 4.04, 3.97, 3.9, 3.83, 3.76,
+    3.69, 3.62, 3.55, 3.49, 3.42, 3.36, 3.29, 3.23, 3.17, 3.11, 3.05, 2.99, 2.93, 2.87, 2.81, 2.75,
+    2.7, 2.64, 2.58, 2.53, 2.47, 2.41, 2.36, 2.3, 2.25, 2.19, 2.14, 2.09, 2.03, 1.98, 1.92, 1.87,
+    1.81, 1.76, 1.7, 1.65, 1.59, 1.54, 1.48, 1.42, 1.37, 1.31, 1.25, 1.19, 1.13, 1.06, 1.0, 0.93,
+    0.86, 0.79, 0.71, 0.63, 0.54, 0.43, 0.3,
+  ],
+  [
+    35.89, 28.31, 20.52, 15.09, 13.39, 12.37, 11.64, 11.07, 10.6, 10.19, 9.84, 9.52, 9.24, 8.98,
+    8.74, 8.52, 8.31, 8.12, 7.93, 7.76, 7.6, 7.44, 7.29, 7.15, 7.01, 6.88, 6.75, 6.63, 6.51, 6.39,
+    6.28, 6.17, 6.06, 5.96, 5.86, 5.76, 5.67, 5.57, 5.48, 5.39, 5.3, 5.22, 5.13, 5.05, 4.97, 4.89,
+    4.81, 4.73, 4.65, 4.57, 4.5, 4.42, 4.35, 4.28, 4.21, 4.14, 4.07, 4.0, 3.93, 3.86, 3.79, 3.72,
+    3.66, 3.59, 3.52, 3.46, 3.39, 3.33, 3.26, 3.19, 3.13, 3.06, 3.0, 2.94, 2.87, 2.81, 2.74, 2.67,
+    2.61, 2.54, 2.48, 2.41, 2.34, 2.27, 2.21, 2.14, 2.07, 1.99, 1.92, 1.85, 1.77, 1.69, 1.61, 1.53,
+    1.44, 1.35, 1.25, 1.15, 1.03, 0.9, 0.75, 0.55,
+  ],
+  [
+    38.26, 30.5, 22.46, 16.81, 15.03, 13.97, 13.2, 12.59, 12.09, 11.66, 11.28, 10.95, 10.64, 10.37,
+    10.11, 9.88, 9.65, 9.45, 9.25, 9.06, 8.89, 8.72, 8.56, 8.4, 8.26, 8.11, 7.97, 7.84, 7.71, 7.59,
+    7.46, 7.35, 7.23, 7.12, 7.01, 6.9, 6.8, 6.69, 6.59, 6.5, 6.4, 6.3, 6.21, 6.12, 6.03, 5.94, 5.85,
+    5.77, 5.68, 5.6, 5.51, 5.43, 5.35, 5.27, 5.19, 5.11, 5.03, 4.95, 4.87, 4.8, 4.72, 4.65, 4.57,
+    4.5, 4.42, 4.35, 4.27, 4.2, 4.12, 4.05, 3.98, 3.9, 3.83, 3.75, 3.68, 3.6, 3.53, 3.45, 3.38, 3.3,
+    3.23, 3.15, 3.07, 2.99, 2.91, 2.83, 2.75, 2.66, 2.57, 2.49, 2.4, 2.3, 2.2, 2.1, 2.0, 1.88, 1.76,
+    1.64, 1.49, 1.33, 1.13, 0.87,
+  ],
+  [
+    40.52, 32.59, 24.32, 18.48, 16.62, 15.51, 14.7, 14.07, 13.54, 13.09, 12.69, 12.34, 12.02, 11.72,
+    11.45, 11.2, 10.97, 10.75, 10.54, 10.34, 10.15, 9.97, 9.8, 9.64, 9.48, 9.33, 9.18, 9.04, 8.9,
+    8.76, 8.63, 8.51, 8.38, 8.26, 8.14, 8.03, 7.92, 7.81, 7.7, 7.59, 7.49, 7.38, 7.28, 7.18, 7.09,
+    6.99, 6.89, 6.8, 6.71, 6.62, 6.52, 6.43, 6.35, 6.26, 6.17, 6.08, 6.0, 5.91, 5.83, 5.74, 5.66,
+    5.58, 5.49, 5.41, 5.33, 5.25, 5.16, 5.08, 5.0, 4.92, 4.84, 4.75, 4.67, 4.59, 4.51, 4.42, 4.34,
+    4.25, 4.17, 4.08, 4.0, 3.91, 3.82, 3.73, 3.64, 3.55, 3.45, 3.36, 3.26, 3.16, 3.05, 2.95, 2.83,
+    2.72, 2.59, 2.46, 2.32, 2.17, 2.0, 1.8, 1.56, 1.24,
+  ],
+  [
+    42.7, 34.6, 26.12, 20.09, 18.17, 17.01, 16.17, 15.51, 14.96, 14.48, 14.07, 13.7, 13.36, 13.05,
+    12.77, 12.51, 12.26, 12.03, 11.81, 11.6, 11.4, 11.21, 11.03, 10.86, 10.69, 10.53, 10.37, 10.22,
+    10.07, 9.93, 9.79, 9.66, 9.52, 9.4, 9.27, 9.15, 9.03, 8.91, 8.79, 8.68, 8.57, 8.46, 8.35, 8.24,
+    8.14, 8.04, 7.93, 7.83, 7.73, 7.63, 7.54, 7.44, 7.34, 7.25, 7.16, 7.06, 6.97, 6.88, 6.78, 6.69,
+    6.6, 6.51, 6.42, 6.33, 6.24, 6.15, 6.06, 5.98, 5.89, 5.8, 5.71, 5.62, 5.53, 5.44, 5.35, 5.26,
+    5.16, 5.07, 4.98, 4.88, 4.79, 4.69, 4.59, 4.49, 4.39, 4.29, 4.19, 4.08, 3.97, 3.85, 3.74, 3.62,
+    3.49, 3.36, 3.22, 3.07, 2.91, 2.73, 2.54, 2.31, 2.03, 1.65,
+  ],
+  [
+    44.81, 36.55, 27.88, 21.67, 19.68, 18.48, 17.61, 16.92, 16.35, 15.85, 15.42, 15.03, 14.68,
+    14.36, 14.07, 13.79, 13.53, 13.29, 13.06, 12.84, 12.63, 12.43, 12.24, 12.06, 11.88, 11.71,
+    11.55, 11.39, 11.23, 11.08, 10.94, 10.8, 10.66, 10.52, 10.39, 10.26, 10.13, 10.01, 9.88, 9.76,
+    9.64, 9.53, 9.41, 9.3, 9.19, 9.08, 8.97, 8.86, 8.76, 8.65, 8.55, 8.44, 8.34, 8.24, 8.14, 8.04,
+    7.94, 7.84, 7.75, 7.65, 7.55, 7.45, 7.36, 7.26, 7.16, 7.07, 6.97, 6.88, 6.78, 6.68, 6.59, 6.49,
+    6.39, 6.3, 6.2, 6.1, 6.0, 5.9, 5.8, 5.7, 5.59, 5.49, 5.38, 5.27, 5.16, 5.05, 4.93, 4.82, 4.7,
+    4.57, 4.44, 4.31, 4.17, 4.02, 3.87, 3.7, 3.52, 3.33, 3.1, 2.85, 2.53, 2.09,
+  ],
+  [
+    46.86, 38.45, 29.59, 23.21, 21.16, 19.92, 19.02, 18.31, 17.71, 17.2, 16.75, 16.35, 15.99, 15.65,
+    15.34, 15.06, 14.79, 14.53, 14.29, 14.07, 13.85, 13.64, 13.44, 13.25, 13.07, 12.89, 12.72,
+    12.55, 12.39, 12.23, 12.08, 11.93, 11.78, 11.64, 11.5, 11.36, 11.23, 11.1, 10.97, 10.84, 10.72,
+    10.59, 10.47, 10.35, 10.24, 10.12, 10.01, 9.89, 9.78, 9.67, 9.56, 9.45, 9.34, 9.23, 9.13, 9.02,
+    8.92, 8.81, 8.71, 8.6, 8.5, 8.4, 8.3, 8.19, 8.09, 7.99, 7.89, 7.78, 7.68, 7.58, 7.47, 7.37,
+    7.27, 7.16, 7.06, 6.95, 6.84, 6.74, 6.63, 6.52, 6.41, 6.29, 6.18, 6.06, 5.94, 5.82, 5.7, 5.57,
+    5.44, 5.3, 5.16, 5.02, 4.87, 4.7, 4.54, 4.35, 4.16, 3.94, 3.7, 3.41, 3.06, 2.56,
+  ],
+  [
+    48.87, 40.31, 31.26, 24.72, 22.62, 21.34, 20.41, 19.68, 19.06, 18.53, 18.07, 17.65, 17.28,
+    16.93, 16.61, 16.31, 16.03, 15.77, 15.52, 15.28, 15.05, 14.84, 14.63, 14.43, 14.24, 14.05,
+    13.87, 13.7, 13.53, 13.37, 13.21, 13.05, 12.9, 12.75, 12.6, 12.46, 12.32, 12.18, 12.05, 11.92,
+    11.79, 11.66, 11.53, 11.4, 11.28, 11.16, 11.04, 10.92, 10.8, 10.69, 10.57, 10.45, 10.34, 10.23,
+    10.12, 10.0, 9.89, 9.78, 9.67, 9.56, 9.45, 9.35, 9.24, 9.13, 9.02, 8.91, 8.8, 8.7, 8.59, 8.48,
+    8.37, 8.26, 8.15, 8.04, 7.93, 7.81, 7.7, 7.58, 7.47, 7.35, 7.23, 7.11, 6.99, 6.86, 6.74, 6.61,
+    6.47, 6.34, 6.2, 6.05, 5.9, 5.74, 5.58, 5.4, 5.22, 5.02, 4.81, 4.57, 4.31, 4.0, 3.61, 3.05,
+  ],
+  [
+    50.83, 42.13, 32.91, 26.22, 24.05, 22.74, 21.79, 21.03, 20.39, 19.85, 19.37, 18.94, 18.55,
+    18.19, 17.86, 17.55, 17.26, 16.99, 16.73, 16.49, 16.25, 16.03, 15.81, 15.61, 15.41, 15.21,
+    15.03, 14.85, 14.67, 14.5, 14.33, 14.17, 14.01, 13.86, 13.7, 13.56, 13.41, 13.27, 13.13, 12.99,
+    12.85, 12.72, 12.58, 12.45, 12.32, 12.2, 12.07, 11.95, 11.82, 11.7, 11.58, 11.46, 11.34, 11.22,
+    11.1, 10.99, 10.87, 10.76, 10.64, 10.53, 10.41, 10.3, 10.18, 10.07, 9.95, 9.84, 9.73, 9.61, 9.5,
+    9.38, 9.27, 9.15, 9.03, 8.92, 8.8, 8.68, 8.56, 8.44, 8.32, 8.19, 8.07, 7.94, 7.81, 7.67, 7.54,
+    7.4, 7.26, 7.11, 6.96, 6.81, 6.65, 6.48, 6.3, 6.12, 5.92, 5.71, 5.48, 5.23, 4.94, 4.6, 4.18,
+    3.57,
+  ],
+  [
+    52.75, 43.92, 34.53, 27.69, 25.47, 24.12, 23.14, 22.36, 21.71, 21.15, 20.66, 20.21, 19.81,
+    19.44, 19.1, 18.78, 18.48, 18.2, 17.94, 17.68, 17.44, 17.21, 16.98, 16.77, 16.56, 16.36, 16.17,
+    15.98, 15.8, 15.62, 15.45, 15.28, 15.12, 14.96, 14.8, 14.65, 14.49, 14.35, 14.2, 14.05, 13.91,
+    13.77, 13.64, 13.5, 13.37, 13.23, 13.1, 12.97, 12.84, 12.72, 12.59, 12.46, 12.34, 12.22, 12.09,
+    11.97, 11.85, 11.73, 11.61, 11.49, 11.37, 11.25, 11.13, 11.01, 10.89, 10.77, 10.65, 10.53,
+    10.41, 10.29, 10.17, 10.05, 9.93, 9.8, 9.68, 9.55, 9.43, 9.3, 9.17, 9.04, 8.91, 8.77, 8.63,
+    8.49, 8.35, 8.2, 8.05, 7.9, 7.74, 7.58, 7.41, 7.23, 7.04, 6.84, 6.63, 6.41, 6.16, 5.89, 5.58,
+    5.22, 4.77, 4.11,
+  ],
+  [
+    54.64, 45.68, 36.12, 29.14, 26.87, 25.49, 24.49, 23.68, 23.02, 22.44, 21.93, 21.48, 21.06,
+    20.68, 20.33, 20.0, 19.7, 19.41, 19.13, 18.87, 18.62, 18.38, 18.15, 17.93, 17.72, 17.51, 17.31,
+    17.12, 16.93, 16.75, 16.57, 16.39, 16.22, 16.06, 15.89, 15.73, 15.58, 15.42, 15.27, 15.12,
+    14.97, 14.83, 14.69, 14.54, 14.4, 14.27, 14.13, 14.0, 13.86, 13.73, 13.6, 13.47, 13.34, 13.21,
+    13.08, 12.96, 12.83, 12.7, 12.58, 12.45, 12.33, 12.2, 12.08, 11.95, 11.83, 11.7, 11.58, 11.45,
+    11.33, 11.2, 11.08, 10.95, 10.82, 10.69, 10.56, 10.43, 10.3, 10.17, 10.03, 9.89, 9.75, 9.61,
+    9.47, 9.32, 9.17, 9.02, 8.86, 8.7, 8.53, 8.36, 8.18, 7.99, 7.79, 7.58, 7.36, 7.12, 6.86, 6.57,
+    6.24, 5.86, 5.37, 4.66,
+  ],
+  [
+    56.49, 47.41, 37.7, 30.58, 28.26, 26.85, 25.82, 25.0, 24.31, 23.72, 23.2, 22.73, 22.31, 21.92,
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+  [
+    164.64, 150.03, 133.51, 120.59, 116.18, 113.44, 111.41, 109.77, 108.39, 107.19, 106.12, 105.16,
+    104.28, 103.46, 102.7, 101.98, 101.31, 100.67, 100.06, 99.48, 98.92, 98.38, 97.86, 97.36, 96.88,
+    96.4, 95.94, 95.5, 95.06, 94.63, 94.22, 93.81, 93.41, 93.01, 92.62, 92.24, 91.86, 91.49, 91.13,
+    90.77, 90.41, 90.05, 89.7, 89.36, 89.01, 88.67, 88.33, 87.99, 87.66, 87.33, 86.99, 86.66, 86.33,
+    86.01, 85.68, 85.35, 85.02, 84.69, 84.37, 84.04, 83.71, 83.38, 83.05, 82.72, 82.38, 82.05,
+    81.71, 81.37, 81.03, 80.69, 80.34, 79.99, 79.63, 79.27, 78.91, 78.54, 78.16, 77.78, 77.39,
+    76.99, 76.59, 76.17, 75.75, 75.31, 74.87, 74.4, 73.93, 73.43, 72.91, 72.38, 71.81, 71.21, 70.58,
+    69.9, 69.17, 68.38, 67.49, 66.5, 65.34, 63.93, 62.1, 59.28,
+  ],
+  [
+    165.99, 151.33, 134.75, 121.77, 117.34, 114.59, 112.54, 110.9, 109.51, 108.3, 107.23, 106.26,
+    105.37, 104.55, 103.79, 103.07, 102.39, 101.75, 101.14, 100.55, 99.99, 99.45, 98.93, 98.42,
+    97.93, 97.46, 97.0, 96.55, 96.11, 95.68, 95.26, 94.85, 94.44, 94.05, 93.66, 93.27, 92.9, 92.52,
+    92.15, 91.79, 91.43, 91.08, 90.72, 90.37, 90.03, 89.68, 89.34, 89.0, 88.67, 88.33, 88.0, 87.67,
+    87.33, 87.0, 86.67, 86.34, 86.01, 85.69, 85.36, 85.03, 84.69, 84.36, 84.03, 83.7, 83.36, 83.02,
+    82.69, 82.34, 82.0, 81.65, 81.3, 80.95, 80.59, 80.23, 79.86, 79.49, 79.11, 78.73, 78.33, 77.94,
+    77.53, 77.11, 76.69, 76.25, 75.8, 75.33, 74.85, 74.35, 73.83, 73.29, 72.72, 72.12, 71.48, 70.8,
+    70.07, 69.27, 68.38, 67.37, 66.21, 64.79, 62.94, 60.1,
+  ],
+  [
+    167.35, 152.63, 135.98, 122.94, 118.49, 115.73, 113.67, 112.02, 110.63, 109.41, 108.34, 107.36,
+    106.47, 105.64, 104.88, 104.15, 103.47, 102.83, 102.21, 101.62, 101.06, 100.51, 99.99, 99.48,
+    98.99, 98.52, 98.05, 97.6, 97.16, 96.73, 96.3, 95.89, 95.48, 95.09, 94.69, 94.31, 93.93, 93.55,
+    93.18, 92.82, 92.45, 92.1, 91.74, 91.39, 91.04, 90.7, 90.35, 90.01, 89.68, 89.34, 89.0, 88.67,
+    88.33, 88.0, 87.67, 87.34, 87.01, 86.68, 86.34, 86.01, 85.68, 85.35, 85.01, 84.68, 84.34, 84.0,
+    83.66, 83.31, 82.97, 82.62, 82.27, 81.91, 81.55, 81.19, 80.82, 80.44, 80.06, 79.68, 79.28,
+    78.88, 78.47, 78.05, 77.62, 77.18, 76.73, 76.26, 75.78, 75.27, 74.75, 74.21, 73.63, 73.03,
+    72.39, 71.7, 70.96, 70.15, 69.26, 68.25, 67.07, 65.65, 63.79, 60.93,
+  ],
+  [
+    168.7, 153.93, 137.21, 124.12, 119.65, 116.87, 114.81, 113.15, 111.74, 110.53, 109.44, 108.46,
+    107.57, 106.74, 105.96, 105.24, 104.55, 103.9, 103.29, 102.69, 102.13, 101.58, 101.05, 100.54,
+    100.05, 99.57, 99.1, 98.65, 98.21, 97.77, 97.35, 96.93, 96.52, 96.12, 95.73, 95.34, 94.96,
+    94.58, 94.21, 93.84, 93.48, 93.12, 92.76, 92.41, 92.06, 91.71, 91.37, 91.02, 90.68, 90.34,
+    90.01, 89.67, 89.33, 89.0, 88.67, 88.33, 88.0, 87.67, 87.33, 87.0, 86.66, 86.33, 85.99, 85.65,
+    85.32, 84.97, 84.63, 84.29, 83.94, 83.59, 83.23, 82.87, 82.51, 82.14, 81.77, 81.4, 81.01, 80.62,
+    80.23, 79.82, 79.41, 78.99, 78.56, 78.11, 77.66, 77.19, 76.7, 76.2, 75.67, 75.12, 74.54, 73.94,
+    73.29, 72.6, 71.86, 71.04, 70.14, 69.13, 67.94, 66.51, 64.63, 61.75,
+  ],
+  [
+    170.05, 155.22, 138.44, 125.29, 120.8, 118.01, 115.94, 114.27, 112.86, 111.64, 110.55, 109.56,
+    108.66, 107.83, 107.05, 106.32, 105.63, 104.98, 104.36, 103.77, 103.19, 102.65, 102.12, 101.6,
+    101.11, 100.63, 100.16, 99.7, 99.25, 98.82, 98.39, 97.97, 97.56, 97.16, 96.76, 96.37, 95.99,
+    95.61, 95.24, 94.87, 94.5, 94.14, 93.78, 93.43, 93.07, 92.72, 92.38, 92.03, 91.69, 91.35, 91.01,
+    90.67, 90.33, 90.0, 89.66, 89.33, 88.99, 88.66, 88.32, 87.99, 87.65, 87.31, 86.97, 86.63, 86.29,
+    85.95, 85.6, 85.26, 84.91, 84.55, 84.2, 83.84, 83.47, 83.1, 82.73, 82.35, 81.97, 81.57, 81.18,
+    80.77, 80.35, 79.93, 79.5, 79.05, 78.59, 78.12, 77.63, 77.12, 76.59, 76.04, 75.46, 74.84, 74.2,
+    73.5, 72.75, 71.93, 71.03, 70.0, 68.81, 67.37, 65.48, 62.58,
+  ],
+  [
+    171.4, 156.52, 139.67, 126.46, 121.95, 119.15, 117.07, 115.39, 113.98, 112.74, 111.65, 110.66,
+    109.76, 108.92, 108.14, 107.41, 106.71, 106.06, 105.43, 104.84, 104.26, 103.71, 103.18, 102.66,
+    102.17, 101.68, 101.21, 100.75, 100.3, 99.86, 99.43, 99.01, 98.6, 98.2, 97.8, 97.41, 97.02,
+    96.64, 96.26, 95.89, 95.52, 95.16, 94.8, 94.44, 94.09, 93.74, 93.39, 93.04, 92.7, 92.35, 92.01,
+    91.67, 91.33, 91.0, 90.66, 90.32, 89.98, 89.65, 89.31, 88.97, 88.63, 88.3, 87.95, 87.61, 87.27,
+    86.92, 86.58, 86.23, 85.88, 85.52, 85.16, 84.8, 84.43, 84.06, 83.69, 83.31, 82.92, 82.52, 82.12,
+    81.71, 81.3, 80.87, 80.43, 79.98, 79.52, 79.05, 78.55, 78.04, 77.51, 76.95, 76.37, 75.75, 75.1,
+    74.4, 73.65, 72.82, 71.91, 70.88, 69.68, 68.23, 66.33, 63.41,
+  ],
+  [
+    172.75, 157.81, 140.89, 127.63, 123.1, 120.29, 118.19, 116.51, 115.09, 113.85, 112.75, 111.76,
+    110.85, 110.01, 109.22, 108.49, 107.79, 107.13, 106.51, 105.91, 105.33, 104.78, 104.24, 103.72,
+    103.22, 102.74, 102.26, 101.8, 101.35, 100.91, 100.48, 100.06, 99.64, 99.23, 98.83, 98.44,
+    98.05, 97.67, 97.29, 96.91, 96.55, 96.18, 95.82, 95.46, 95.1, 94.75, 94.4, 94.05, 93.7, 93.36,
+    93.02, 92.68, 92.33, 91.99, 91.65, 91.32, 90.98, 90.64, 90.3, 89.96, 89.62, 89.28, 88.94, 88.59,
+    88.25, 87.9, 87.55, 87.2, 86.85, 86.49, 86.13, 85.76, 85.39, 85.02, 84.64, 84.26, 83.87, 83.47,
+    83.07, 82.66, 82.24, 81.81, 81.37, 80.92, 80.45, 79.97, 79.48, 78.96, 78.43, 77.87, 77.28,
+    76.66, 76.01, 75.3, 74.54, 73.72, 72.8, 71.76, 70.55, 69.09, 67.18, 64.24,
+  ],
+  [
+    174.09, 159.1, 142.12, 128.8, 124.26, 121.42, 119.32, 117.63, 116.2, 114.96, 113.86, 112.86,
+    111.94, 111.1, 110.31, 109.57, 108.87, 108.21, 107.58, 106.98, 106.4, 105.84, 105.3, 104.78,
+    104.28, 103.79, 103.31, 102.85, 102.4, 101.95, 101.52, 101.1, 100.68, 100.27, 99.87, 99.47,
+    99.08, 98.69, 98.31, 97.94, 97.57, 97.2, 96.84, 96.48, 96.12, 95.76, 95.41, 95.06, 94.71, 94.37,
+    94.02, 93.68, 93.33, 92.99, 92.65, 92.31, 91.97, 91.63, 91.29, 90.95, 90.6, 90.26, 89.92, 89.57,
+    89.22, 88.88, 88.52, 88.17, 87.81, 87.46, 87.09, 86.73, 86.36, 85.98, 85.6, 85.21, 84.82, 84.42,
+    84.02, 83.61, 83.18, 82.75, 82.31, 81.85, 81.39, 80.9, 80.41, 79.89, 79.35, 78.79, 78.2, 77.57,
+    76.91, 76.2, 75.44, 74.61, 73.68, 72.64, 71.43, 69.95, 68.03, 65.07,
+  ],
+  [
+    175.44, 160.39, 143.34, 129.97, 125.4, 122.56, 120.45, 118.75, 117.32, 116.07, 114.96, 113.96,
+    113.04, 112.19, 111.4, 110.65, 109.95, 109.29, 108.65, 108.05, 107.46, 106.9, 106.36, 105.84,
+    105.34, 104.84, 104.37, 103.9, 103.44, 103.0, 102.56, 102.14, 101.72, 101.31, 100.9, 100.5,
+    100.11, 99.72, 99.34, 98.96, 98.59, 98.22, 97.85, 97.49, 97.13, 96.78, 96.42, 96.07, 95.72,
+    95.37, 95.02, 94.68, 94.33, 93.99, 93.65, 93.3, 92.96, 92.62, 92.28, 91.93, 91.59, 91.24, 90.9,
+    90.55, 90.2, 89.85, 89.5, 89.14, 88.78, 88.42, 88.06, 87.69, 87.32, 86.94, 86.56, 86.17, 85.78,
+    85.38, 84.97, 84.55, 84.13, 83.69, 83.25, 82.79, 82.32, 81.84, 81.33, 80.81, 80.27, 79.71,
+    79.11, 78.48, 77.82, 77.11, 76.34, 75.5, 74.57, 73.52, 72.3, 70.82, 68.88, 65.9,
+  ],
+  [
+    176.78, 161.68, 144.57, 131.14, 126.55, 123.7, 121.58, 119.87, 118.43, 117.18, 116.06, 115.05,
+    114.13, 113.28, 112.48, 111.74, 111.03, 110.36, 109.72, 109.12, 108.53, 107.97, 107.43, 106.9,
+    106.39, 105.9, 105.42, 104.95, 104.49, 104.04, 103.61, 103.18, 102.76, 102.34, 101.94, 101.53,
+    101.14, 100.75, 100.37, 99.99, 99.61, 99.24, 98.87, 98.51, 98.15, 97.79, 97.43, 97.08, 96.73,
+    96.38, 96.03, 95.68, 95.33, 94.99, 94.64, 94.3, 93.95, 93.61, 93.27, 92.92, 92.58, 92.23, 91.88,
+    91.53, 91.18, 90.83, 90.47, 90.12, 89.75, 89.39, 89.02, 88.65, 88.28, 87.9, 87.52, 87.13, 86.73,
+    86.33, 85.92, 85.5, 85.07, 84.63, 84.19, 83.73, 83.25, 82.77, 82.26, 81.74, 81.19, 80.62, 80.03,
+    79.39, 78.73, 78.01, 77.24, 76.39, 75.46, 74.4, 73.17, 71.68, 69.73, 66.73,
+  ],
+  [
+    178.12, 162.97, 145.79, 132.31, 127.7, 124.83, 122.7, 120.99, 119.54, 118.28, 117.16, 116.15,
+    115.22, 114.37, 113.57, 112.82, 112.11, 111.44, 110.8, 110.18, 109.6, 109.03, 108.49, 107.96,
+    107.45, 106.95, 106.47, 106.0, 105.54, 105.09, 104.65, 104.22, 103.79, 103.38, 102.97, 102.57,
+    102.17, 101.78, 101.39, 101.01, 100.63, 100.26, 99.89, 99.53, 99.16, 98.8, 98.44, 98.09, 97.73,
+    97.38, 97.03, 96.68, 96.33, 95.99, 95.64, 95.29, 94.95, 94.6, 94.25, 93.91, 93.56, 93.21, 92.86,
+    92.51, 92.16, 91.8, 91.45, 91.09, 90.73, 90.36, 89.99, 89.62, 89.24, 88.86, 88.47, 88.08, 87.68,
+    87.28, 86.87, 86.44, 86.02, 85.58, 85.13, 84.66, 84.19, 83.7, 83.19, 82.66, 82.11, 81.54, 80.94,
+    80.31, 79.63, 78.91, 78.13, 77.29, 76.35, 75.28, 74.05, 72.54, 70.58, 67.56,
+  ],
+  [
+    179.46, 164.25, 147.01, 133.48, 128.85, 125.97, 123.83, 122.11, 120.65, 119.39, 118.26, 117.25,
+    116.32, 115.45, 114.65, 113.9, 113.19, 112.51, 111.87, 111.25, 110.66, 110.09, 109.55, 109.02,
+    108.5, 108.0, 107.52, 107.05, 106.58, 106.13, 105.69, 105.26, 104.83, 104.41, 104.0, 103.6,
+    103.2, 102.81, 102.42, 102.04, 101.66, 101.28, 100.91, 100.54, 100.18, 99.81, 99.45, 99.1,
+    98.74, 98.39, 98.04, 97.68, 97.33, 96.98, 96.64, 96.29, 95.94, 95.59, 95.24, 94.9, 94.55, 94.2,
+    93.84, 93.49, 93.14, 92.78, 92.42, 92.06, 91.7, 91.33, 90.96, 90.58, 90.2, 89.82, 89.43, 89.04,
+    88.64, 88.23, 87.81, 87.39, 86.96, 86.52, 86.07, 85.6, 85.12, 84.63, 84.12, 83.59, 83.04, 82.46,
+    81.86, 81.22, 80.54, 79.82, 79.03, 78.18, 77.23, 76.16, 74.92, 73.41, 71.43, 68.4,
+  ],
+  [
+    180.79, 165.54, 148.23, 134.64, 130.0, 127.1, 124.95, 123.23, 121.77, 120.49, 119.36, 118.34,
+    117.41, 116.54, 115.74, 114.98, 114.26, 113.59, 112.94, 112.32, 111.73, 111.16, 110.61, 110.07,
+    109.56, 109.06, 108.57, 108.09, 107.63, 107.18, 106.73, 106.3, 105.87, 105.45, 105.04, 104.63,
+    104.23, 103.83, 103.44, 103.06, 102.68, 102.3, 101.93, 101.56, 101.19, 100.83, 100.47, 100.11,
+    99.75, 99.39, 99.04, 98.69, 98.33, 97.98, 97.63, 97.28, 96.93, 96.58, 96.23, 95.88, 95.53,
+    95.18, 94.83, 94.47, 94.11, 93.76, 93.4, 93.03, 92.67, 92.3, 91.92, 91.55, 91.17, 90.78, 90.39,
+    89.99, 89.59, 89.18, 88.76, 88.34, 87.9, 87.46, 87.01, 86.54, 86.06, 85.56, 85.05, 84.51, 83.96,
+    83.38, 82.77, 82.13, 81.45, 80.72, 79.93, 79.07, 78.12, 77.05, 75.79, 74.28, 72.29, 69.23,
+  ],
+];
+export const SIGNIFICANCE_LEVELS = [
+  0.0, 0.0, 0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14,
+  0.15, 0.16, 0.17, 0.18, 0.19, 0.2, 0.21, 0.22, 0.23, 0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3,
+  0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46,
+  0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62,
+  0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78,
+  0.79, 0.8, 0.81, 0.82, 0.83, 0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9, 0.91, 0.92, 0.93, 0.94,
+  0.95, 0.96, 0.97, 0.98, 0.99,
+];
diff --git a/x-pack/packages/ml/chi2test/critical_table_lookup.ts b/x-pack/packages/ml/chi2test/critical_table_lookup.ts
new file mode 100644
index 000000000000000..fa2ee35686566e5
--- /dev/null
+++ b/x-pack/packages/ml/chi2test/critical_table_lookup.ts
@@ -0,0 +1,30 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the Elastic License
+ * 2.0; you may not use this file except in compliance with the Elastic License
+ * 2.0.
+ */
+
+import { CRITICAL_VALUES_TABLE, SIGNIFICANCE_LEVELS } from './constants';
+
+export const criticalTableLookup = (chi2Statistic: number, df: number) => {
+  if (df < 1) return 1;
+  if (!Number.isInteger(df)) throw Error('Degrees of freedom must be a valid integer');
+
+  // Get the row index
+  const rowIndex: number = df - 1;
+
+  // Get the column index
+  let minDiff: number = Math.abs(CRITICAL_VALUES_TABLE[rowIndex][0] - chi2Statistic);
+  let columnIndex: number = 0;
+  for (let j = 1; j < CRITICAL_VALUES_TABLE[rowIndex].length; j++) {
+    const diff: number = Math.abs(CRITICAL_VALUES_TABLE[rowIndex][j] - chi2Statistic);
+    if (diff < minDiff) {
+      minDiff = diff;
+      columnIndex = j;
+    }
+  }
+
+  const significanceLevel: number = SIGNIFICANCE_LEVELS[columnIndex];
+  return significanceLevel;
+};
diff --git a/x-pack/packages/ml/chi2test/index.ts b/x-pack/packages/ml/chi2test/index.ts
new file mode 100644
index 000000000000000..41a9d5e799e1575
--- /dev/null
+++ b/x-pack/packages/ml/chi2test/index.ts
@@ -0,0 +1,11 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the Elastic License
+ * 2.0; you may not use this file except in compliance with the Elastic License
+ * 2.0.
+ */
+
+export { computeChi2PValue } from './compute_chi_2_pvalue';
+export { criticalTableLookup } from './critical_table_lookup';
+export { CRITICAL_VALUES_TABLE, SIGNIFICANCE_LEVELS } from './constants';
+export type { Histogram } from './types';
diff --git a/x-pack/packages/ml/chi2test/jest.config.js b/x-pack/packages/ml/chi2test/jest.config.js
new file mode 100644
index 000000000000000..1a1e0ce1f29c467
--- /dev/null
+++ b/x-pack/packages/ml/chi2test/jest.config.js
@@ -0,0 +1,12 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the Elastic License
+ * 2.0; you may not use this file except in compliance with the Elastic License
+ * 2.0.
+ */
+
+module.exports = {
+  preset: '@kbn/test',
+  rootDir: '../../../..',
+  roots: ['<rootDir>/x-pack/packages/ml/chi2test'],
+};
diff --git a/x-pack/packages/ml/chi2test/kibana.jsonc b/x-pack/packages/ml/chi2test/kibana.jsonc
new file mode 100644
index 000000000000000..073ffe15d4294ab
--- /dev/null
+++ b/x-pack/packages/ml/chi2test/kibana.jsonc
@@ -0,0 +1,5 @@
+{
+  "type": "shared-common",
+  "id": "@kbn/ml-chi2test",
+  "owner": "@elastic/ml-ui"
+}
diff --git a/x-pack/packages/ml/chi2test/package.json b/x-pack/packages/ml/chi2test/package.json
new file mode 100644
index 000000000000000..4d9655ff1e03d42
--- /dev/null
+++ b/x-pack/packages/ml/chi2test/package.json
@@ -0,0 +1,6 @@
+{
+  "name": "@kbn/ml-chi2test",
+  "private": true,
+  "version": "1.0.0",
+  "license": "SSPL-1.0 OR Elastic License 2.0"
+}
\ No newline at end of file
diff --git a/x-pack/packages/ml/chi2test/tsconfig.json b/x-pack/packages/ml/chi2test/tsconfig.json
new file mode 100644
index 000000000000000..5c989599ec9ad0a
--- /dev/null
+++ b/x-pack/packages/ml/chi2test/tsconfig.json
@@ -0,0 +1,19 @@
+{
+  "extends": "../../../../tsconfig.base.json",
+  "compilerOptions": {
+    "outDir": "target/types",
+    "types": [
+      "jest",
+      "node",
+      "react"
+    ]
+  },
+  "include": [
+    "**/*.ts",
+      "**/*.tsx",
+  ],
+  "exclude": [
+    "target/**/*"
+  ],
+  "kbn_references": []
+}
diff --git a/x-pack/packages/ml/chi2test/types.ts b/x-pack/packages/ml/chi2test/types.ts
new file mode 100644
index 000000000000000..7476c9048afb976
--- /dev/null
+++ b/x-pack/packages/ml/chi2test/types.ts
@@ -0,0 +1,12 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the Elastic License
+ * 2.0; you may not use this file except in compliance with the Elastic License
+ * 2.0.
+ */
+
+export interface Histogram {
+  doc_count: number;
+  key: string | number;
+  percentage?: number;
+}
diff --git a/x-pack/plugins/aiops/common/api/log_categorization/create_categorize_query.ts b/x-pack/plugins/aiops/common/api/log_categorization/create_categorize_query.ts
new file mode 100644
index 000000000000000..8b9e3a95c653f47
--- /dev/null
+++ b/x-pack/plugins/aiops/common/api/log_categorization/create_categorize_query.ts
@@ -0,0 +1,48 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the Elastic License
+ * 2.0; you may not use this file except in compliance with the Elastic License
+ * 2.0.
+ */
+
+import { cloneDeep } from 'lodash';
+
+import type { QueryDslQueryContainer } from '@elastic/elasticsearch/lib/api/types';
+
+export function createCategorizeQuery(
+  queryIn: QueryDslQueryContainer,
+  timeField: string,
+  from: number | undefined,
+  to: number | undefined
+) {
+  const query = cloneDeep(queryIn);
+
+  if (query.bool === undefined) {
+    query.bool = {};
+  }
+  if (query.bool.must === undefined) {
+    query.bool.must = [];
+    if (query.match_all !== undefined) {
+      query.bool.must.push({ match_all: query.match_all });
+      delete query.match_all;
+    }
+  }
+  if (query.multi_match !== undefined) {
+    query.bool.should = {
+      multi_match: query.multi_match,
+    };
+    delete query.multi_match;
+  }
+
+  (query.bool.must as QueryDslQueryContainer[]).push({
+    range: {
+      [timeField]: {
+        gte: from,
+        lte: to,
+        format: 'epoch_millis',
+      },
+    },
+  });
+
+  return query;
+}
diff --git a/x-pack/plugins/aiops/common/api/log_categorization/create_category_request.ts b/x-pack/plugins/aiops/common/api/log_categorization/create_category_request.ts
new file mode 100644
index 000000000000000..38acb5029e83034
--- /dev/null
+++ b/x-pack/plugins/aiops/common/api/log_categorization/create_category_request.ts
@@ -0,0 +1,66 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the Elastic License
+ * 2.0; you may not use this file except in compliance with the Elastic License
+ * 2.0.
+ */
+
+import type { QueryDslQueryContainer } from '@elastic/elasticsearch/lib/api/types';
+
+import { createRandomSamplerWrapper } from '@kbn/ml-random-sampler-utils';
+
+import { createCategorizeQuery } from './create_categorize_query';
+
+const CATEGORY_LIMIT = 1000;
+const EXAMPLE_LIMIT = 1;
+
+export function createCategoryRequest(
+  index: string,
+  field: string,
+  timeField: string,
+  from: number | undefined,
+  to: number | undefined,
+  queryIn: QueryDslQueryContainer,
+  wrap: ReturnType<typeof createRandomSamplerWrapper>['wrap'],
+  intervalMs?: number
+) {
+  const query = createCategorizeQuery(queryIn, timeField, from, to);
+  const aggs = {
+    categories: {
+      categorize_text: {
+        field,
+        size: CATEGORY_LIMIT,
+      },
+      aggs: {
+        hit: {
+          top_hits: {
+            size: EXAMPLE_LIMIT,
+            sort: [timeField],
+            _source: field,
+          },
+        },
+        ...(intervalMs
+          ? {
+              sparkline: {
+                date_histogram: {
+                  field: timeField,
+                  fixed_interval: `${intervalMs}ms`,
+                },
+              },
+            }
+          : {}),
+      },
+    },
+  };
+
+  return {
+    params: {
+      index,
+      size: 0,
+      body: {
+        query,
+        aggs: wrap(aggs),
+      },
+    },
+  };
+}
diff --git a/x-pack/plugins/aiops/common/api/log_categorization/process_category_results.ts b/x-pack/plugins/aiops/common/api/log_categorization/process_category_results.ts
new file mode 100644
index 000000000000000..6b8cbe1a4516413
--- /dev/null
+++ b/x-pack/plugins/aiops/common/api/log_categorization/process_category_results.ts
@@ -0,0 +1,79 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the Elastic License
+ * 2.0; you may not use this file except in compliance with the Elastic License
+ * 2.0.
+ */
+
+import { get } from 'lodash';
+
+import { estypes } from '@elastic/elasticsearch';
+
+import { createRandomSamplerWrapper } from '@kbn/ml-random-sampler-utils';
+
+export interface Category {
+  key: string;
+  count: number;
+  examples: string[];
+  sparkline?: Array<{ doc_count: number; key: number; key_as_string: string }>;
+}
+
+export interface CategoriesAgg {
+  categories: {
+    buckets: Array<{
+      key: string;
+      doc_count: number;
+      hit: { hits: { hits: Array<{ _source: { message: string } }> } };
+      sparkline: {
+        buckets: Array<{ key_as_string: string; key: number; doc_count: number }>;
+      };
+    }>;
+  };
+}
+
+interface CategoriesSampleAgg {
+  sample: CategoriesAgg;
+}
+
+export interface CatResponse {
+  rawResponse: estypes.SearchResponseBody<unknown, CategoriesAgg | CategoriesSampleAgg>;
+}
+
+export type SparkLinesPerCategory = Record<string, Record<number, number>>;
+
+export function processCategoryResults(
+  result: CatResponse,
+  field: string,
+  unwrap: ReturnType<typeof createRandomSamplerWrapper>['unwrap']
+) {
+  const sparkLinesPerCategory: SparkLinesPerCategory = {};
+  const { aggregations } = result.rawResponse;
+  if (aggregations === undefined) {
+    throw new Error('processCategoryResults failed, did not return aggregations.');
+  }
+  const {
+    categories: { buckets },
+  } = unwrap(
+    aggregations as unknown as Record<string, estypes.AggregationsAggregate>
+  ) as CategoriesAgg;
+
+  const categories: Category[] = buckets.map((b) => {
+    sparkLinesPerCategory[b.key] =
+      b.sparkline === undefined
+        ? {}
+        : b.sparkline.buckets.reduce<Record<number, number>>((acc2, cur2) => {
+            acc2[cur2.key] = cur2.doc_count;
+            return acc2;
+          }, {});
+
+    return {
+      key: b.key,
+      count: b.doc_count,
+      examples: b.hit.hits.hits.map((h) => get(h._source, field)),
+    };
+  });
+  return {
+    categories,
+    sparkLinesPerCategory,
+  };
+}
diff --git a/x-pack/plugins/aiops/public/components/log_categorization/log_categorization_page.tsx b/x-pack/plugins/aiops/public/components/log_categorization/log_categorization_page.tsx
index 5413c264a31278f..3928cc08a427fce 100644
--- a/x-pack/plugins/aiops/public/components/log_categorization/log_categorization_page.tsx
+++ b/x-pack/plugins/aiops/public/components/log_categorization/log_categorization_page.tsx
@@ -24,9 +24,14 @@ import { Filter, Query } from '@kbn/es-query';
 import { i18n } from '@kbn/i18n';
 import { FormattedMessage } from '@kbn/i18n-react';
 import { usePageUrlState, useUrlState } from '@kbn/ml-url-state';
-
 import type { FieldValidationResults } from '@kbn/ml-category-validator';
 import type { SearchQueryLanguage } from '@kbn/ml-query-utils';
+
+import type {
+  Category,
+  SparkLinesPerCategory,
+} from '../../../common/api/log_categorization/process_category_results';
+
 import { useDataSource } from '../../hooks/use_data_source';
 import { useData } from '../../hooks/use_data';
 import { useSearch } from '../../hooks/use_search';
@@ -39,7 +44,7 @@ import {
 import { SearchPanel } from '../search_panel';
 import { PageHeader } from '../page_header';
 
-import type { EventRate, Category, SparkLinesPerCategory } from './use_categorize_request';
+import type { EventRate } from './use_categorize_request';
 import { useCategorizeRequest } from './use_categorize_request';
 import { CategoryTable } from './category_table';
 import { DocumentCountChart } from './document_count_chart';
diff --git a/x-pack/plugins/aiops/public/components/log_categorization/use_categorize_request.ts b/x-pack/plugins/aiops/public/components/log_categorization/use_categorize_request.ts
index 3108ec9391cef93..6c68500bc1a74ed 100644
--- a/x-pack/plugins/aiops/public/components/log_categorization/use_categorize_request.ts
+++ b/x-pack/plugins/aiops/public/components/log_categorization/use_categorize_request.ts
@@ -5,62 +5,37 @@
  * 2.0.
  */
 
-import { cloneDeep, get } from 'lodash';
 import { useRef, useCallback, useMemo } from 'react';
-import { isCompleteResponse } from '@kbn/data-plugin/public';
+
 import type { QueryDslQueryContainer } from '@elastic/elasticsearch/lib/api/types';
 
-import { createRandomSamplerWrapper } from '@kbn/ml-random-sampler-utils';
-import { estypes } from '@elastic/elasticsearch';
+import { isCompleteResponse } from '@kbn/data-plugin/public';
 import { useStorage } from '@kbn/ml-local-storage';
+
+import { createCategoryRequest } from '../../../common/api/log_categorization/create_category_request';
+import {
+  processCategoryResults,
+  type Category,
+  type CatResponse,
+  type SparkLinesPerCategory,
+} from '../../../common/api/log_categorization/process_category_results';
+
 import { useAiopsAppContext } from '../../hooks/use_aiops_app_context';
-import { RandomSampler } from './sampling_menu';
 import {
   type AiOpsKey,
   type AiOpsStorageMapped,
   AIOPS_RANDOM_SAMPLING_MODE_PREFERENCE,
   AIOPS_RANDOM_SAMPLING_PROBABILITY_PREFERENCE,
 } from '../../types/storage';
-import { RANDOM_SAMPLER_OPTION, DEFAULT_PROBABILITY } from './sampling_menu/random_sampler';
-
-const CATEGORY_LIMIT = 1000;
-const EXAMPLE_LIMIT = 1;
 
-interface CategoriesAgg {
-  categories: {
-    buckets: Array<{
-      key: string;
-      doc_count: number;
-      hit: { hits: { hits: Array<{ _source: { message: string } }> } };
-      sparkline: {
-        buckets: Array<{ key_as_string: string; key: number; doc_count: number }>;
-      };
-    }>;
-  };
-}
-
-interface CategoriesSampleAgg {
-  sample: CategoriesAgg;
-}
-
-interface CatResponse {
-  rawResponse: estypes.SearchResponseBody<unknown, CategoriesAgg | CategoriesSampleAgg>;
-}
-
-export interface Category {
-  key: string;
-  count: number;
-  examples: string[];
-  sparkline?: Array<{ doc_count: number; key: number; key_as_string: string }>;
-}
+import { RandomSampler } from './sampling_menu';
+import { RANDOM_SAMPLER_OPTION, DEFAULT_PROBABILITY } from './sampling_menu/random_sampler';
 
 export type EventRate = Array<{
   key: number;
   docCount: number;
 }>;
 
-export type SparkLinesPerCategory = Record<string, Record<number, number>>;
-
 export function useCategorizeRequest() {
   const [randomSamplerMode, setRandomSamplerMode] = useStorage<
     AiOpsKey,
@@ -135,129 +110,3 @@ export function useCategorizeRequest() {
 
   return { runCategorizeRequest, cancelRequest, randomSampler };
 }
-
-function createCategoryRequest(
-  index: string,
-  field: string,
-  timeField: string,
-  from: number | undefined,
-  to: number | undefined,
-  queryIn: QueryDslQueryContainer,
-  wrap: ReturnType<typeof createRandomSamplerWrapper>['wrap'],
-  intervalMs?: number
-) {
-  const query = createCategorizeQuery(queryIn, timeField, from, to);
-  const aggs = {
-    categories: {
-      categorize_text: {
-        field,
-        size: CATEGORY_LIMIT,
-      },
-      aggs: {
-        hit: {
-          top_hits: {
-            size: EXAMPLE_LIMIT,
-            sort: [timeField],
-            _source: field,
-          },
-        },
-        ...(intervalMs
-          ? {
-              sparkline: {
-                date_histogram: {
-                  field: timeField,
-                  fixed_interval: `${intervalMs}ms`,
-                },
-              },
-            }
-          : {}),
-      },
-    },
-  };
-
-  return {
-    params: {
-      index,
-      size: 0,
-      body: {
-        query,
-        aggs: wrap(aggs),
-      },
-    },
-  };
-}
-
-export function createCategorizeQuery(
-  queryIn: QueryDslQueryContainer,
-  timeField: string,
-  from: number | undefined,
-  to: number | undefined
-) {
-  const query = cloneDeep(queryIn);
-
-  if (query.bool === undefined) {
-    query.bool = {};
-  }
-  if (query.bool.must === undefined) {
-    query.bool.must = [];
-    if (query.match_all !== undefined) {
-      query.bool.must.push({ match_all: query.match_all });
-      delete query.match_all;
-    }
-  }
-  if (query.multi_match !== undefined) {
-    query.bool.should = {
-      multi_match: query.multi_match,
-    };
-    delete query.multi_match;
-  }
-
-  (query.bool.must as QueryDslQueryContainer[]).push({
-    range: {
-      [timeField]: {
-        gte: from,
-        lte: to,
-        format: 'epoch_millis',
-      },
-    },
-  });
-
-  return query;
-}
-
-function processCategoryResults(
-  result: CatResponse,
-  field: string,
-  unwrap: ReturnType<typeof createRandomSamplerWrapper>['unwrap']
-) {
-  const sparkLinesPerCategory: SparkLinesPerCategory = {};
-  const { aggregations } = result.rawResponse;
-  if (aggregations === undefined) {
-    throw new Error('processCategoryResults failed, did not return aggregations.');
-  }
-  const {
-    categories: { buckets },
-  } = unwrap(
-    aggregations as unknown as Record<string, estypes.AggregationsAggregate>
-  ) as CategoriesAgg;
-
-  const categories: Category[] = buckets.map((b) => {
-    sparkLinesPerCategory[b.key] =
-      b.sparkline === undefined
-        ? {}
-        : b.sparkline.buckets.reduce<Record<number, number>>((acc2, cur2) => {
-            acc2[cur2.key] = cur2.doc_count;
-            return acc2;
-          }, {});
-
-    return {
-      key: b.key,
-      count: b.doc_count,
-      examples: b.hit.hits.hits.map((h) => get(h._source, field)),
-    };
-  });
-  return {
-    categories,
-    sparkLinesPerCategory,
-  };
-}
diff --git a/x-pack/plugins/aiops/server/routes/log_rate_analysis.ts b/x-pack/plugins/aiops/server/routes/log_rate_analysis.ts
index f31f6c5f30c3571..44729c2756fbf0f 100644
--- a/x-pack/plugins/aiops/server/routes/log_rate_analysis.ts
+++ b/x-pack/plugins/aiops/server/routes/log_rate_analysis.ts
@@ -23,8 +23,9 @@ import type {
 } from '@kbn/ml-agg-utils';
 import { fetchHistogramsForFields } from '@kbn/ml-agg-utils';
 import { createExecutionContext } from '@kbn/ml-route-utils';
+import { criticalTableLookup, type Histogram } from '@kbn/ml-chi2test';
 
-import { RANDOM_SAMPLER_SEED } from '../../common/constants';
+import { LOG_RATE_ANALYSIS_P_VALUE_THRESHOLD, RANDOM_SAMPLER_SEED } from '../../common/constants';
 import {
   addSignificantTermsAction,
   addSignificantTermsGroupAction,
@@ -46,6 +47,7 @@ import { PLUGIN_ID } from '../../common';
 import { isRequestAbortedError } from '../lib/is_request_aborted_error';
 import type { AiopsLicense } from '../types';
 
+import { fetchCategories } from './queries/fetch_categories';
 import { fetchSignificantTermPValues } from './queries/fetch_significant_term_p_values';
 import { fetchIndexInfo } from './queries/fetch_index_info';
 import { fetchFrequentItemSets } from './queries/fetch_frequent_item_sets';
@@ -223,11 +225,131 @@ export const defineLogRateAnalysisRoute = (
                 );
 
                 try {
-                  const indexInfo = await fetchIndexInfo(client, request.body, abortSignal);
+                  const indexInfo = await fetchIndexInfo(
+                    client,
+                    request.body,
+                    ['message'],
+                    abortSignal
+                  );
+                  // console.log('fieldCandidates', indexInfo.fieldCandidates);
+                  // console.log('textFieldCandidates', indexInfo.textFieldCandidates);
+
+                  if (indexInfo.textFieldCandidates.length > 0) {
+                    const categoriesBaseline = await fetchCategories(
+                      client,
+                      request.body,
+                      indexInfo.textFieldCandidates,
+                      request.body.baselineMin,
+                      request.body.baselineMax,
+                      logger,
+                      sampleProbability,
+                      pushError,
+                      abortSignal
+                    );
+
+                    const categoriesBaselineTotalCount = categoriesBaseline[0].categories.reduce(
+                      (p, c) => p + c.count,
+                      0
+                    );
+                    const categoriesBaselineTestData: Histogram[] =
+                      categoriesBaseline[0].categories.map((d) => ({
+                        key: d.key,
+                        doc_count: d.count,
+                        percentage: d.count / categoriesBaselineTotalCount,
+                      }));
+
+                    const categoriesDeviation = await fetchCategories(
+                      client,
+                      request.body,
+                      indexInfo.textFieldCandidates,
+                      request.body.deviationMin,
+                      request.body.deviationMax,
+                      logger,
+                      sampleProbability,
+                      pushError,
+                      abortSignal
+                    );
+
+                    const categoriesDeviationTotalCount = categoriesDeviation[0].categories.reduce(
+                      (p, c) => p + c.count,
+                      0
+                    );
+                    const categoriesDeviationTestData: Histogram[] =
+                      categoriesDeviation[0].categories.map((d) => ({
+                        key: d.key,
+                        doc_count: d.count,
+                        percentage: d.count / categoriesDeviationTotalCount,
+                      }));
+
+                    // console.log(
+                    //   'totals',
+                    //   categoriesBaselineTotalCount,
+                    //   categoriesDeviationTotalCount
+                    // );
+
+                    // Get all unique keys from both arrays
+                    const allKeys: string[] = Array.from(
+                      new Set([
+                        ...categoriesBaselineTestData.map((term) => term.key.toString()),
+                        ...categoriesDeviationTestData.map((term) => term.key.toString()),
+                      ])
+                    ).slice(0, 100);
+
+                    const significantCategories: SignificantTerm[] = [];
+
+                    allKeys.forEach((key) => {
+                      const baselineTerm = categoriesBaselineTestData.find(
+                        (term) => term.key === key
+                      );
+                      const deviationTerm = categoriesDeviationTestData.find(
+                        (term) => term.key === key
+                      );
+
+                      const observed: number = deviationTerm?.percentage ?? 0;
+                      const expected: number = baselineTerm?.percentage ?? 0;
+                      const chiSquared =
+                        Math.pow(observed - expected, 2) / (expected > 0 ? expected : 1e-6); // Prevent divide by zero
+
+                      const pValue = criticalTableLookup(chiSquared, 1);
+
+                      if (pValue <= LOG_RATE_ANALYSIS_P_VALUE_THRESHOLD && observed > expected) {
+                        significantCategories.push({
+                          fieldName: 'message',
+                          fieldValue: key,
+                          doc_count: deviationTerm?.doc_count ?? 0,
+                          bg_count: baselineTerm?.doc_count ?? 0,
+                          total_doc_count: categoriesDeviationTotalCount,
+                          total_bg_count: categoriesBaselineTotalCount,
+                          score: 0,
+                          pValue,
+                          normalizedScore: 0,
+                        });
+                        push(
+                          addSignificantTermsAction([
+                            {
+                              fieldName: 'message',
+                              fieldValue: key,
+                              doc_count: deviationTerm?.doc_count ?? 0,
+                              bg_count: baselineTerm?.doc_count ?? 0,
+                              total_doc_count: categoriesDeviationTotalCount,
+                              total_bg_count: categoriesBaselineTotalCount,
+                              score: 0,
+                              pValue,
+                              normalizedScore: 0,
+                            },
+                          ])
+                        );
+                      }
+                    });
+                  }
+
+                  // console.log('categories.baseline', categoriesBaseline[0].categories);
+                  // console.log('categories.deviation', categoriesDeviation[0].categories);
                   fieldCandidates.push(...indexInfo.fieldCandidates);
                   fieldCandidatesCount = fieldCandidates.length;
                   totalDocCount = indexInfo.totalDocCount;
                 } catch (e) {
+                  // console.log(e);
                   if (!isRequestAbortedError(e)) {
                     logger.error(`Failed to fetch index information, got: \n${e.toString()}`);
                     pushError(`Failed to fetch index information.`);
@@ -322,6 +444,8 @@ export const defineLogRateAnalysisRoute = (
                   return;
                 }
 
+                // console.log('pValues', fieldCandidate, pValues);
+
                 remainingFieldCandidates = remainingFieldCandidates.filter(
                   (d) => d !== fieldCandidate
                 );
diff --git a/x-pack/plugins/aiops/server/routes/queries/fetch_categories.ts b/x-pack/plugins/aiops/server/routes/queries/fetch_categories.ts
new file mode 100644
index 000000000000000..7347d8972d47561
--- /dev/null
+++ b/x-pack/plugins/aiops/server/routes/queries/fetch_categories.ts
@@ -0,0 +1,149 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the Elastic License
+ * 2.0; you may not use this file except in compliance with the Elastic License
+ * 2.0.
+ */
+
+import { get } from 'lodash';
+import type * as estypes from '@elastic/elasticsearch/lib/api/typesWithBodyKey';
+
+import { ElasticsearchClient } from '@kbn/core/server';
+import type { Logger } from '@kbn/logging';
+import {
+  createRandomSamplerWrapper,
+  type RandomSamplerWrapper,
+} from '@kbn/ml-random-sampler-utils';
+
+import { RANDOM_SAMPLER_SEED } from '../../../common/constants';
+import type { AiopsLogRateAnalysisSchema } from '../../../common/api/log_rate_analysis';
+import { createCategoryRequest } from '../../../common/api/log_categorization/create_category_request';
+import type {
+  Category,
+  CategoriesAgg,
+  SparkLinesPerCategory,
+} from '../../../common/api/log_categorization/process_category_results';
+
+import { isRequestAbortedError } from '../../lib/is_request_aborted_error';
+
+import { getQueryWithParams } from './get_query_with_params';
+
+export const getCategoryRequest = (
+  params: AiopsLogRateAnalysisSchema,
+  fieldName: string,
+  from: number | undefined,
+  to: number | undefined,
+  { wrap }: RandomSamplerWrapper
+): estypes.SearchRequest => {
+  const { index, timeFieldName } = params;
+  const query = getQueryWithParams({
+    params,
+  });
+  const { params: request } = createCategoryRequest(
+    index,
+    fieldName,
+    timeFieldName,
+    from,
+    to,
+    query,
+    wrap
+  );
+
+  return request;
+};
+
+interface FetchCategoriesResponse {
+  categories: Category[];
+  sparkLinesPerCategory: SparkLinesPerCategory;
+}
+
+export const fetchCategories = async (
+  esClient: ElasticsearchClient,
+  params: AiopsLogRateAnalysisSchema,
+  fieldNames: string[],
+  from: number | undefined,
+  to: number | undefined,
+  logger: Logger,
+  // The default value of 1 means no sampling will be used
+  sampleProbability: number = 1,
+  emitError: (m: string) => void,
+  abortSignal?: AbortSignal
+): Promise<FetchCategoriesResponse[]> => {
+  const randomSamplerWrapper = createRandomSamplerWrapper({
+    probability: sampleProbability,
+    seed: RANDOM_SAMPLER_SEED,
+  });
+
+  const result: FetchCategoriesResponse[] = [];
+
+  const settledPromises = await Promise.allSettled(
+    fieldNames.map((fieldName) => {
+      const request = getCategoryRequest(params, fieldName, from, to, randomSamplerWrapper);
+      return esClient.search(request, {
+        signal: abortSignal,
+        maxRetries: 0,
+      });
+    })
+  );
+
+  function reportError(fieldName: string, error: unknown) {
+    if (!isRequestAbortedError(error)) {
+      logger.error(
+        `Failed to fetch category aggregation for fieldName "${fieldName}", got: \n${JSON.stringify(
+          error,
+          null,
+          2
+        )}`
+      );
+      emitError(`Failed to fetch category aggregation for fieldName "${fieldName}".`);
+    }
+  }
+
+  for (const [index, settledPromise] of settledPromises.entries()) {
+    const fieldName = fieldNames[index];
+
+    if (settledPromise.status === 'rejected') {
+      reportError(fieldName, settledPromise.reason);
+      // Still continue the analysis even if individual category queries fail.
+      continue;
+    }
+
+    const resp = settledPromise.value;
+    const { aggregations } = resp;
+
+    if (aggregations === undefined) {
+      reportError(fieldName, resp);
+      // Still continue the analysis even if individual category queries fail.
+      continue;
+    }
+
+    const sparkLinesPerCategory: SparkLinesPerCategory = {};
+    const {
+      categories: { buckets },
+    } = randomSamplerWrapper.unwrap(
+      aggregations as unknown as Record<string, estypes.AggregationsAggregate>
+    ) as CategoriesAgg;
+
+    const categories: Category[] = buckets.map((b) => {
+      sparkLinesPerCategory[b.key] =
+        b.sparkline === undefined
+          ? {}
+          : b.sparkline.buckets.reduce<Record<number, number>>((acc2, cur2) => {
+              acc2[cur2.key] = cur2.doc_count;
+              return acc2;
+            }, {});
+
+      return {
+        key: b.key,
+        count: b.doc_count,
+        examples: b.hit.hits.hits.map((h) => get(h._source, fieldName)),
+      };
+    });
+    result.push({
+      categories,
+      sparkLinesPerCategory,
+    });
+  }
+
+  return result;
+};
diff --git a/x-pack/plugins/aiops/server/routes/queries/fetch_index_info.ts b/x-pack/plugins/aiops/server/routes/queries/fetch_index_info.ts
index c44d2f99eb95f1c..08c510405e32cc2 100644
--- a/x-pack/plugins/aiops/server/routes/queries/fetch_index_info.ts
+++ b/x-pack/plugins/aiops/server/routes/queries/fetch_index_info.ts
@@ -26,6 +26,8 @@ const SUPPORTED_ES_FIELD_TYPES = [
   ES_FIELD_TYPES.BOOLEAN,
 ];
 
+const SUPPORTED_ES_FIELD_TYPES_TEXT = [ES_FIELD_TYPES.TEXT, ES_FIELD_TYPES.MATCH_ONLY_TEXT];
+
 export const getRandomDocsRequest = (
   params: AiopsLogRateAnalysisSchema
 ): estypes.SearchRequest => ({
@@ -46,11 +48,18 @@ export const getRandomDocsRequest = (
   },
 });
 
+interface IndexInfo {
+  fieldCandidates: string[];
+  textFieldCandidates: string[];
+  totalDocCount: number;
+}
+
 export const fetchIndexInfo = async (
   esClient: ElasticsearchClient,
   params: AiopsLogRateAnalysisSchema,
+  textFieldCandidatesOverrides: string[] = [],
   abortSignal?: AbortSignal
-): Promise<{ fieldCandidates: string[]; totalDocCount: number }> => {
+): Promise<IndexInfo> => {
   const { index } = params;
   // Get all supported fields
   const respMapping = await esClient.fieldCaps(
@@ -61,18 +70,29 @@ export const fetchIndexInfo = async (
     { signal: abortSignal, maxRetries: 0 }
   );
 
+  const allFieldNames: string[] = [];
+
   const finalFieldCandidates: Set<string> = new Set([]);
+  const finalTextFieldCandidates: Set<string> = new Set([]);
   const acceptableFields: Set<string> = new Set();
+  const acceptableTextFields: Set<string> = new Set();
 
   Object.entries(respMapping.fields).forEach(([key, value]) => {
     const fieldTypes = Object.keys(value) as ES_FIELD_TYPES[];
     const isSupportedType = fieldTypes.some((type) => SUPPORTED_ES_FIELD_TYPES.includes(type));
     const isAggregatable = fieldTypes.some((type) => value[type].aggregatable);
+    const isTextField = fieldTypes.some((type) => SUPPORTED_ES_FIELD_TYPES_TEXT.includes(type));
 
     // Check if fieldName is something we can aggregate on
     if (isSupportedType && isAggregatable) {
       acceptableFields.add(key);
     }
+
+    if (isTextField) {
+      acceptableTextFields.add(key);
+    }
+
+    allFieldNames.push(key);
   });
 
   // Only the deviation window will be used to identify field candidates and sample probability based on total doc count.
@@ -85,16 +105,33 @@ export const fetchIndexInfo = async (
   );
   const sampledDocs = resp.hits.hits.map((d) => d.fields ?? {});
 
+  const textFieldCandidatesOverridesWithKeywordPostfix = textFieldCandidatesOverrides.map(
+    (d) => `${d}.keyword`
+  );
+
   // Get all field names for each returned doc and flatten it
   // to a list of unique field names used across all docs
   // and filter by list of acceptable fields.
   [...new Set(sampledDocs.map(Object.keys).flat(1))].forEach((field) => {
-    if (acceptableFields.has(field)) {
+    if (
+      acceptableFields.has(field) &&
+      !textFieldCandidatesOverridesWithKeywordPostfix.includes(field)
+    ) {
       finalFieldCandidates.add(field);
     }
+    if (
+      acceptableTextFields.has(field) &&
+      (!allFieldNames.includes(`${field}.keyword`) || textFieldCandidatesOverrides.includes(field))
+    ) {
+      finalTextFieldCandidates.add(field);
+    }
   });
 
   const totalDocCount = (resp.hits.total as estypes.SearchTotalHits).value;
 
-  return { fieldCandidates: [...finalFieldCandidates], totalDocCount };
+  return {
+    fieldCandidates: [...finalFieldCandidates],
+    textFieldCandidates: [...finalTextFieldCandidates],
+    totalDocCount,
+  };
 };
diff --git a/x-pack/plugins/data_visualizer/public/application/data_comparison/constants.ts b/x-pack/plugins/data_visualizer/public/application/data_comparison/constants.ts
index e64e19cc736fdd6..0b6a9f4d8052fed 100644
--- a/x-pack/plugins/data_visualizer/public/application/data_comparison/constants.ts
+++ b/x-pack/plugins/data_visualizer/public/application/data_comparison/constants.ts
@@ -54,1011 +54,3 @@ export const DATA_COMPARISON_TYPE_LABEL = {
 } as const;
 
 export const DRIFT_P_VALUE_THRESHOLD = 0.05;
-/**
- * Table generated from following python code
- df = range(1,100)
-
- # levels of significance
- significance_levels = np.concatenate((np.logspace(-6, -3, 3), np.linspace(0.01, 0.99, 99)))
-
- # create the table
- table = []
- for d in df:
-   row = []
-   for l in significance_levels:
-     row.append(round(stats.chi2.ppf(1 - l, d), 2))
-   table.append(row)
-
- critical_value_table = np.array(table)
- * until we find a low size replacement for doing chi2test in js
- */
-export const CRITICAL_VALUES_TABLE = [
-  [
-    23.93, 17.32, 10.83, 6.63, 5.41, 4.71, 4.22, 3.84, 3.54, 3.28, 3.06, 2.87, 2.71, 2.55, 2.42,
-    2.29, 2.18, 2.07, 1.97, 1.88, 1.8, 1.72, 1.64, 1.57, 1.5, 1.44, 1.38, 1.32, 1.27, 1.22, 1.17,
-    1.12, 1.07, 1.03, 0.99, 0.95, 0.91, 0.87, 0.84, 0.8, 0.77, 0.74, 0.71, 0.68, 0.65, 0.62, 0.6,
-    0.57, 0.55, 0.52, 0.5, 0.48, 0.45, 0.43, 0.41, 0.39, 0.38, 0.36, 0.34, 0.32, 0.31, 0.29, 0.27,
-    0.26, 0.25, 0.23, 0.22, 0.21, 0.19, 0.18, 0.17, 0.16, 0.15, 0.14, 0.13, 0.12, 0.11, 0.1, 0.09,
-    0.09, 0.08, 0.07, 0.06, 0.06, 0.05, 0.05, 0.04, 0.04, 0.03, 0.03, 0.02, 0.02, 0.02, 0.01, 0.01,
-    0.01, 0.01, 0.0, 0.0, 0.0, 0.0, 0.0,
-  ],
-  [
-    27.63, 20.72, 13.82, 9.21, 7.82, 7.01, 6.44, 5.99, 5.63, 5.32, 5.05, 4.82, 4.61, 4.41, 4.24,
-    4.08, 3.93, 3.79, 3.67, 3.54, 3.43, 3.32, 3.22, 3.12, 3.03, 2.94, 2.85, 2.77, 2.69, 2.62, 2.55,
-    2.48, 2.41, 2.34, 2.28, 2.22, 2.16, 2.1, 2.04, 1.99, 1.94, 1.88, 1.83, 1.78, 1.74, 1.69, 1.64,
-    1.6, 1.55, 1.51, 1.47, 1.43, 1.39, 1.35, 1.31, 1.27, 1.23, 1.2, 1.16, 1.12, 1.09, 1.06, 1.02,
-    0.99, 0.96, 0.92, 0.89, 0.86, 0.83, 0.8, 0.77, 0.74, 0.71, 0.68, 0.66, 0.63, 0.6, 0.58, 0.55,
-    0.52, 0.5, 0.47, 0.45, 0.42, 0.4, 0.37, 0.35, 0.33, 0.3, 0.28, 0.26, 0.23, 0.21, 0.19, 0.17,
-    0.15, 0.12, 0.1, 0.08, 0.06, 0.04, 0.02,
-  ],
-  [
-    30.66, 23.51, 16.27, 11.34, 9.84, 8.95, 8.31, 7.81, 7.41, 7.06, 6.76, 6.49, 6.25, 6.03, 5.83,
-    5.65, 5.48, 5.32, 5.17, 5.02, 4.89, 4.76, 4.64, 4.53, 4.41, 4.31, 4.21, 4.11, 4.01, 3.92, 3.83,
-    3.75, 3.66, 3.58, 3.51, 3.43, 3.36, 3.28, 3.21, 3.14, 3.08, 3.01, 2.95, 2.88, 2.82, 2.76, 2.7,
-    2.64, 2.59, 2.53, 2.47, 2.42, 2.37, 2.31, 2.26, 2.21, 2.16, 2.11, 2.06, 2.01, 1.96, 1.92, 1.87,
-    1.82, 1.78, 1.73, 1.69, 1.64, 1.6, 1.55, 1.51, 1.47, 1.42, 1.38, 1.34, 1.3, 1.25, 1.21, 1.17,
-    1.13, 1.09, 1.05, 1.01, 0.96, 0.92, 0.88, 0.84, 0.8, 0.76, 0.71, 0.67, 0.63, 0.58, 0.54, 0.49,
-    0.45, 0.4, 0.35, 0.3, 0.25, 0.18, 0.11,
-  ],
-  [
-    33.38, 26.0, 18.47, 13.28, 11.67, 10.71, 10.03, 9.49, 9.04, 8.67, 8.34, 8.04, 7.78, 7.54, 7.32,
-    7.11, 6.92, 6.74, 6.58, 6.42, 6.27, 6.13, 5.99, 5.86, 5.73, 5.61, 5.5, 5.39, 5.28, 5.17, 5.07,
-    4.97, 4.88, 4.79, 4.7, 4.61, 4.52, 4.44, 4.36, 4.28, 4.2, 4.12, 4.04, 3.97, 3.9, 3.83, 3.76,
-    3.69, 3.62, 3.55, 3.49, 3.42, 3.36, 3.29, 3.23, 3.17, 3.11, 3.05, 2.99, 2.93, 2.87, 2.81, 2.75,
-    2.7, 2.64, 2.58, 2.53, 2.47, 2.41, 2.36, 2.3, 2.25, 2.19, 2.14, 2.09, 2.03, 1.98, 1.92, 1.87,
-    1.81, 1.76, 1.7, 1.65, 1.59, 1.54, 1.48, 1.42, 1.37, 1.31, 1.25, 1.19, 1.13, 1.06, 1.0, 0.93,
-    0.86, 0.79, 0.71, 0.63, 0.54, 0.43, 0.3,
-  ],
-  [
-    35.89, 28.31, 20.52, 15.09, 13.39, 12.37, 11.64, 11.07, 10.6, 10.19, 9.84, 9.52, 9.24, 8.98,
-    8.74, 8.52, 8.31, 8.12, 7.93, 7.76, 7.6, 7.44, 7.29, 7.15, 7.01, 6.88, 6.75, 6.63, 6.51, 6.39,
-    6.28, 6.17, 6.06, 5.96, 5.86, 5.76, 5.67, 5.57, 5.48, 5.39, 5.3, 5.22, 5.13, 5.05, 4.97, 4.89,
-    4.81, 4.73, 4.65, 4.57, 4.5, 4.42, 4.35, 4.28, 4.21, 4.14, 4.07, 4.0, 3.93, 3.86, 3.79, 3.72,
-    3.66, 3.59, 3.52, 3.46, 3.39, 3.33, 3.26, 3.19, 3.13, 3.06, 3.0, 2.94, 2.87, 2.81, 2.74, 2.67,
-    2.61, 2.54, 2.48, 2.41, 2.34, 2.27, 2.21, 2.14, 2.07, 1.99, 1.92, 1.85, 1.77, 1.69, 1.61, 1.53,
-    1.44, 1.35, 1.25, 1.15, 1.03, 0.9, 0.75, 0.55,
-  ],
-  [
-    38.26, 30.5, 22.46, 16.81, 15.03, 13.97, 13.2, 12.59, 12.09, 11.66, 11.28, 10.95, 10.64, 10.37,
-    10.11, 9.88, 9.65, 9.45, 9.25, 9.06, 8.89, 8.72, 8.56, 8.4, 8.26, 8.11, 7.97, 7.84, 7.71, 7.59,
-    7.46, 7.35, 7.23, 7.12, 7.01, 6.9, 6.8, 6.69, 6.59, 6.5, 6.4, 6.3, 6.21, 6.12, 6.03, 5.94, 5.85,
-    5.77, 5.68, 5.6, 5.51, 5.43, 5.35, 5.27, 5.19, 5.11, 5.03, 4.95, 4.87, 4.8, 4.72, 4.65, 4.57,
-    4.5, 4.42, 4.35, 4.27, 4.2, 4.12, 4.05, 3.98, 3.9, 3.83, 3.75, 3.68, 3.6, 3.53, 3.45, 3.38, 3.3,
-    3.23, 3.15, 3.07, 2.99, 2.91, 2.83, 2.75, 2.66, 2.57, 2.49, 2.4, 2.3, 2.2, 2.1, 2.0, 1.88, 1.76,
-    1.64, 1.49, 1.33, 1.13, 0.87,
-  ],
-  [
-    40.52, 32.59, 24.32, 18.48, 16.62, 15.51, 14.7, 14.07, 13.54, 13.09, 12.69, 12.34, 12.02, 11.72,
-    11.45, 11.2, 10.97, 10.75, 10.54, 10.34, 10.15, 9.97, 9.8, 9.64, 9.48, 9.33, 9.18, 9.04, 8.9,
-    8.76, 8.63, 8.51, 8.38, 8.26, 8.14, 8.03, 7.92, 7.81, 7.7, 7.59, 7.49, 7.38, 7.28, 7.18, 7.09,
-    6.99, 6.89, 6.8, 6.71, 6.62, 6.52, 6.43, 6.35, 6.26, 6.17, 6.08, 6.0, 5.91, 5.83, 5.74, 5.66,
-    5.58, 5.49, 5.41, 5.33, 5.25, 5.16, 5.08, 5.0, 4.92, 4.84, 4.75, 4.67, 4.59, 4.51, 4.42, 4.34,
-    4.25, 4.17, 4.08, 4.0, 3.91, 3.82, 3.73, 3.64, 3.55, 3.45, 3.36, 3.26, 3.16, 3.05, 2.95, 2.83,
-    2.72, 2.59, 2.46, 2.32, 2.17, 2.0, 1.8, 1.56, 1.24,
-  ],
-  [
-    42.7, 34.6, 26.12, 20.09, 18.17, 17.01, 16.17, 15.51, 14.96, 14.48, 14.07, 13.7, 13.36, 13.05,
-    12.77, 12.51, 12.26, 12.03, 11.81, 11.6, 11.4, 11.21, 11.03, 10.86, 10.69, 10.53, 10.37, 10.22,
-    10.07, 9.93, 9.79, 9.66, 9.52, 9.4, 9.27, 9.15, 9.03, 8.91, 8.79, 8.68, 8.57, 8.46, 8.35, 8.24,
-    8.14, 8.04, 7.93, 7.83, 7.73, 7.63, 7.54, 7.44, 7.34, 7.25, 7.16, 7.06, 6.97, 6.88, 6.78, 6.69,
-    6.6, 6.51, 6.42, 6.33, 6.24, 6.15, 6.06, 5.98, 5.89, 5.8, 5.71, 5.62, 5.53, 5.44, 5.35, 5.26,
-    5.16, 5.07, 4.98, 4.88, 4.79, 4.69, 4.59, 4.49, 4.39, 4.29, 4.19, 4.08, 3.97, 3.85, 3.74, 3.62,
-    3.49, 3.36, 3.22, 3.07, 2.91, 2.73, 2.54, 2.31, 2.03, 1.65,
-  ],
-  [
-    44.81, 36.55, 27.88, 21.67, 19.68, 18.48, 17.61, 16.92, 16.35, 15.85, 15.42, 15.03, 14.68,
-    14.36, 14.07, 13.79, 13.53, 13.29, 13.06, 12.84, 12.63, 12.43, 12.24, 12.06, 11.88, 11.71,
-    11.55, 11.39, 11.23, 11.08, 10.94, 10.8, 10.66, 10.52, 10.39, 10.26, 10.13, 10.01, 9.88, 9.76,
-    9.64, 9.53, 9.41, 9.3, 9.19, 9.08, 8.97, 8.86, 8.76, 8.65, 8.55, 8.44, 8.34, 8.24, 8.14, 8.04,
-    7.94, 7.84, 7.75, 7.65, 7.55, 7.45, 7.36, 7.26, 7.16, 7.07, 6.97, 6.88, 6.78, 6.68, 6.59, 6.49,
-    6.39, 6.3, 6.2, 6.1, 6.0, 5.9, 5.8, 5.7, 5.59, 5.49, 5.38, 5.27, 5.16, 5.05, 4.93, 4.82, 4.7,
-    4.57, 4.44, 4.31, 4.17, 4.02, 3.87, 3.7, 3.52, 3.33, 3.1, 2.85, 2.53, 2.09,
-  ],
-  [
-    46.86, 38.45, 29.59, 23.21, 21.16, 19.92, 19.02, 18.31, 17.71, 17.2, 16.75, 16.35, 15.99, 15.65,
-    15.34, 15.06, 14.79, 14.53, 14.29, 14.07, 13.85, 13.64, 13.44, 13.25, 13.07, 12.89, 12.72,
-    12.55, 12.39, 12.23, 12.08, 11.93, 11.78, 11.64, 11.5, 11.36, 11.23, 11.1, 10.97, 10.84, 10.72,
-    10.59, 10.47, 10.35, 10.24, 10.12, 10.01, 9.89, 9.78, 9.67, 9.56, 9.45, 9.34, 9.23, 9.13, 9.02,
-    8.92, 8.81, 8.71, 8.6, 8.5, 8.4, 8.3, 8.19, 8.09, 7.99, 7.89, 7.78, 7.68, 7.58, 7.47, 7.37,
-    7.27, 7.16, 7.06, 6.95, 6.84, 6.74, 6.63, 6.52, 6.41, 6.29, 6.18, 6.06, 5.94, 5.82, 5.7, 5.57,
-    5.44, 5.3, 5.16, 5.02, 4.87, 4.7, 4.54, 4.35, 4.16, 3.94, 3.7, 3.41, 3.06, 2.56,
-  ],
-  [
-    48.87, 40.31, 31.26, 24.72, 22.62, 21.34, 20.41, 19.68, 19.06, 18.53, 18.07, 17.65, 17.28,
-    16.93, 16.61, 16.31, 16.03, 15.77, 15.52, 15.28, 15.05, 14.84, 14.63, 14.43, 14.24, 14.05,
-    13.87, 13.7, 13.53, 13.37, 13.21, 13.05, 12.9, 12.75, 12.6, 12.46, 12.32, 12.18, 12.05, 11.92,
-    11.79, 11.66, 11.53, 11.4, 11.28, 11.16, 11.04, 10.92, 10.8, 10.69, 10.57, 10.45, 10.34, 10.23,
-    10.12, 10.0, 9.89, 9.78, 9.67, 9.56, 9.45, 9.35, 9.24, 9.13, 9.02, 8.91, 8.8, 8.7, 8.59, 8.48,
-    8.37, 8.26, 8.15, 8.04, 7.93, 7.81, 7.7, 7.58, 7.47, 7.35, 7.23, 7.11, 6.99, 6.86, 6.74, 6.61,
-    6.47, 6.34, 6.2, 6.05, 5.9, 5.74, 5.58, 5.4, 5.22, 5.02, 4.81, 4.57, 4.31, 4.0, 3.61, 3.05,
-  ],
-  [
-    50.83, 42.13, 32.91, 26.22, 24.05, 22.74, 21.79, 21.03, 20.39, 19.85, 19.37, 18.94, 18.55,
-    18.19, 17.86, 17.55, 17.26, 16.99, 16.73, 16.49, 16.25, 16.03, 15.81, 15.61, 15.41, 15.21,
-    15.03, 14.85, 14.67, 14.5, 14.33, 14.17, 14.01, 13.86, 13.7, 13.56, 13.41, 13.27, 13.13, 12.99,
-    12.85, 12.72, 12.58, 12.45, 12.32, 12.2, 12.07, 11.95, 11.82, 11.7, 11.58, 11.46, 11.34, 11.22,
-    11.1, 10.99, 10.87, 10.76, 10.64, 10.53, 10.41, 10.3, 10.18, 10.07, 9.95, 9.84, 9.73, 9.61, 9.5,
-    9.38, 9.27, 9.15, 9.03, 8.92, 8.8, 8.68, 8.56, 8.44, 8.32, 8.19, 8.07, 7.94, 7.81, 7.67, 7.54,
-    7.4, 7.26, 7.11, 6.96, 6.81, 6.65, 6.48, 6.3, 6.12, 5.92, 5.71, 5.48, 5.23, 4.94, 4.6, 4.18,
-    3.57,
-  ],
-  [
-    52.75, 43.92, 34.53, 27.69, 25.47, 24.12, 23.14, 22.36, 21.71, 21.15, 20.66, 20.21, 19.81,
-    19.44, 19.1, 18.78, 18.48, 18.2, 17.94, 17.68, 17.44, 17.21, 16.98, 16.77, 16.56, 16.36, 16.17,
-    15.98, 15.8, 15.62, 15.45, 15.28, 15.12, 14.96, 14.8, 14.65, 14.49, 14.35, 14.2, 14.05, 13.91,
-    13.77, 13.64, 13.5, 13.37, 13.23, 13.1, 12.97, 12.84, 12.72, 12.59, 12.46, 12.34, 12.22, 12.09,
-    11.97, 11.85, 11.73, 11.61, 11.49, 11.37, 11.25, 11.13, 11.01, 10.89, 10.77, 10.65, 10.53,
-    10.41, 10.29, 10.17, 10.05, 9.93, 9.8, 9.68, 9.55, 9.43, 9.3, 9.17, 9.04, 8.91, 8.77, 8.63,
-    8.49, 8.35, 8.2, 8.05, 7.9, 7.74, 7.58, 7.41, 7.23, 7.04, 6.84, 6.63, 6.41, 6.16, 5.89, 5.58,
-    5.22, 4.77, 4.11,
-  ],
-  [
-    54.64, 45.68, 36.12, 29.14, 26.87, 25.49, 24.49, 23.68, 23.02, 22.44, 21.93, 21.48, 21.06,
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-  [
-    163.28, 148.73, 132.28, 119.41, 115.03, 112.3, 110.28, 108.65, 107.27, 106.08, 105.02, 104.06,
-    103.18, 102.36, 101.61, 100.9, 100.23, 99.59, 98.98, 98.41, 97.85, 97.31, 96.8, 96.3, 95.82,
-    95.35, 94.89, 94.45, 94.01, 93.59, 93.17, 92.76, 92.37, 91.97, 91.59, 91.21, 90.83, 90.46, 90.1,
-    89.74, 89.38, 89.03, 88.68, 88.34, 88.0, 87.66, 87.32, 86.99, 86.65, 86.32, 85.99, 85.66, 85.33,
-    85.01, 84.68, 84.36, 84.03, 83.7, 83.38, 83.05, 82.73, 82.4, 82.07, 81.74, 81.41, 81.07, 80.74,
-    80.4, 80.06, 79.72, 79.37, 79.02, 78.67, 78.31, 77.95, 77.58, 77.21, 76.83, 76.44, 76.05, 75.65,
-    75.23, 74.81, 74.38, 73.94, 73.48, 73.0, 72.51, 72.0, 71.46, 70.9, 70.31, 69.68, 69.01, 68.28,
-    67.49, 66.61, 65.62, 64.47, 63.08, 61.25, 58.46,
-  ],
-  [
-    164.64, 150.03, 133.51, 120.59, 116.18, 113.44, 111.41, 109.77, 108.39, 107.19, 106.12, 105.16,
-    104.28, 103.46, 102.7, 101.98, 101.31, 100.67, 100.06, 99.48, 98.92, 98.38, 97.86, 97.36, 96.88,
-    96.4, 95.94, 95.5, 95.06, 94.63, 94.22, 93.81, 93.41, 93.01, 92.62, 92.24, 91.86, 91.49, 91.13,
-    90.77, 90.41, 90.05, 89.7, 89.36, 89.01, 88.67, 88.33, 87.99, 87.66, 87.33, 86.99, 86.66, 86.33,
-    86.01, 85.68, 85.35, 85.02, 84.69, 84.37, 84.04, 83.71, 83.38, 83.05, 82.72, 82.38, 82.05,
-    81.71, 81.37, 81.03, 80.69, 80.34, 79.99, 79.63, 79.27, 78.91, 78.54, 78.16, 77.78, 77.39,
-    76.99, 76.59, 76.17, 75.75, 75.31, 74.87, 74.4, 73.93, 73.43, 72.91, 72.38, 71.81, 71.21, 70.58,
-    69.9, 69.17, 68.38, 67.49, 66.5, 65.34, 63.93, 62.1, 59.28,
-  ],
-  [
-    165.99, 151.33, 134.75, 121.77, 117.34, 114.59, 112.54, 110.9, 109.51, 108.3, 107.23, 106.26,
-    105.37, 104.55, 103.79, 103.07, 102.39, 101.75, 101.14, 100.55, 99.99, 99.45, 98.93, 98.42,
-    97.93, 97.46, 97.0, 96.55, 96.11, 95.68, 95.26, 94.85, 94.44, 94.05, 93.66, 93.27, 92.9, 92.52,
-    92.15, 91.79, 91.43, 91.08, 90.72, 90.37, 90.03, 89.68, 89.34, 89.0, 88.67, 88.33, 88.0, 87.67,
-    87.33, 87.0, 86.67, 86.34, 86.01, 85.69, 85.36, 85.03, 84.69, 84.36, 84.03, 83.7, 83.36, 83.02,
-    82.69, 82.34, 82.0, 81.65, 81.3, 80.95, 80.59, 80.23, 79.86, 79.49, 79.11, 78.73, 78.33, 77.94,
-    77.53, 77.11, 76.69, 76.25, 75.8, 75.33, 74.85, 74.35, 73.83, 73.29, 72.72, 72.12, 71.48, 70.8,
-    70.07, 69.27, 68.38, 67.37, 66.21, 64.79, 62.94, 60.1,
-  ],
-  [
-    167.35, 152.63, 135.98, 122.94, 118.49, 115.73, 113.67, 112.02, 110.63, 109.41, 108.34, 107.36,
-    106.47, 105.64, 104.88, 104.15, 103.47, 102.83, 102.21, 101.62, 101.06, 100.51, 99.99, 99.48,
-    98.99, 98.52, 98.05, 97.6, 97.16, 96.73, 96.3, 95.89, 95.48, 95.09, 94.69, 94.31, 93.93, 93.55,
-    93.18, 92.82, 92.45, 92.1, 91.74, 91.39, 91.04, 90.7, 90.35, 90.01, 89.68, 89.34, 89.0, 88.67,
-    88.33, 88.0, 87.67, 87.34, 87.01, 86.68, 86.34, 86.01, 85.68, 85.35, 85.01, 84.68, 84.34, 84.0,
-    83.66, 83.31, 82.97, 82.62, 82.27, 81.91, 81.55, 81.19, 80.82, 80.44, 80.06, 79.68, 79.28,
-    78.88, 78.47, 78.05, 77.62, 77.18, 76.73, 76.26, 75.78, 75.27, 74.75, 74.21, 73.63, 73.03,
-    72.39, 71.7, 70.96, 70.15, 69.26, 68.25, 67.07, 65.65, 63.79, 60.93,
-  ],
-  [
-    168.7, 153.93, 137.21, 124.12, 119.65, 116.87, 114.81, 113.15, 111.74, 110.53, 109.44, 108.46,
-    107.57, 106.74, 105.96, 105.24, 104.55, 103.9, 103.29, 102.69, 102.13, 101.58, 101.05, 100.54,
-    100.05, 99.57, 99.1, 98.65, 98.21, 97.77, 97.35, 96.93, 96.52, 96.12, 95.73, 95.34, 94.96,
-    94.58, 94.21, 93.84, 93.48, 93.12, 92.76, 92.41, 92.06, 91.71, 91.37, 91.02, 90.68, 90.34,
-    90.01, 89.67, 89.33, 89.0, 88.67, 88.33, 88.0, 87.67, 87.33, 87.0, 86.66, 86.33, 85.99, 85.65,
-    85.32, 84.97, 84.63, 84.29, 83.94, 83.59, 83.23, 82.87, 82.51, 82.14, 81.77, 81.4, 81.01, 80.62,
-    80.23, 79.82, 79.41, 78.99, 78.56, 78.11, 77.66, 77.19, 76.7, 76.2, 75.67, 75.12, 74.54, 73.94,
-    73.29, 72.6, 71.86, 71.04, 70.14, 69.13, 67.94, 66.51, 64.63, 61.75,
-  ],
-  [
-    170.05, 155.22, 138.44, 125.29, 120.8, 118.01, 115.94, 114.27, 112.86, 111.64, 110.55, 109.56,
-    108.66, 107.83, 107.05, 106.32, 105.63, 104.98, 104.36, 103.77, 103.19, 102.65, 102.12, 101.6,
-    101.11, 100.63, 100.16, 99.7, 99.25, 98.82, 98.39, 97.97, 97.56, 97.16, 96.76, 96.37, 95.99,
-    95.61, 95.24, 94.87, 94.5, 94.14, 93.78, 93.43, 93.07, 92.72, 92.38, 92.03, 91.69, 91.35, 91.01,
-    90.67, 90.33, 90.0, 89.66, 89.33, 88.99, 88.66, 88.32, 87.99, 87.65, 87.31, 86.97, 86.63, 86.29,
-    85.95, 85.6, 85.26, 84.91, 84.55, 84.2, 83.84, 83.47, 83.1, 82.73, 82.35, 81.97, 81.57, 81.18,
-    80.77, 80.35, 79.93, 79.5, 79.05, 78.59, 78.12, 77.63, 77.12, 76.59, 76.04, 75.46, 74.84, 74.2,
-    73.5, 72.75, 71.93, 71.03, 70.0, 68.81, 67.37, 65.48, 62.58,
-  ],
-  [
-    171.4, 156.52, 139.67, 126.46, 121.95, 119.15, 117.07, 115.39, 113.98, 112.74, 111.65, 110.66,
-    109.76, 108.92, 108.14, 107.41, 106.71, 106.06, 105.43, 104.84, 104.26, 103.71, 103.18, 102.66,
-    102.17, 101.68, 101.21, 100.75, 100.3, 99.86, 99.43, 99.01, 98.6, 98.2, 97.8, 97.41, 97.02,
-    96.64, 96.26, 95.89, 95.52, 95.16, 94.8, 94.44, 94.09, 93.74, 93.39, 93.04, 92.7, 92.35, 92.01,
-    91.67, 91.33, 91.0, 90.66, 90.32, 89.98, 89.65, 89.31, 88.97, 88.63, 88.3, 87.95, 87.61, 87.27,
-    86.92, 86.58, 86.23, 85.88, 85.52, 85.16, 84.8, 84.43, 84.06, 83.69, 83.31, 82.92, 82.52, 82.12,
-    81.71, 81.3, 80.87, 80.43, 79.98, 79.52, 79.05, 78.55, 78.04, 77.51, 76.95, 76.37, 75.75, 75.1,
-    74.4, 73.65, 72.82, 71.91, 70.88, 69.68, 68.23, 66.33, 63.41,
-  ],
-  [
-    172.75, 157.81, 140.89, 127.63, 123.1, 120.29, 118.19, 116.51, 115.09, 113.85, 112.75, 111.76,
-    110.85, 110.01, 109.22, 108.49, 107.79, 107.13, 106.51, 105.91, 105.33, 104.78, 104.24, 103.72,
-    103.22, 102.74, 102.26, 101.8, 101.35, 100.91, 100.48, 100.06, 99.64, 99.23, 98.83, 98.44,
-    98.05, 97.67, 97.29, 96.91, 96.55, 96.18, 95.82, 95.46, 95.1, 94.75, 94.4, 94.05, 93.7, 93.36,
-    93.02, 92.68, 92.33, 91.99, 91.65, 91.32, 90.98, 90.64, 90.3, 89.96, 89.62, 89.28, 88.94, 88.59,
-    88.25, 87.9, 87.55, 87.2, 86.85, 86.49, 86.13, 85.76, 85.39, 85.02, 84.64, 84.26, 83.87, 83.47,
-    83.07, 82.66, 82.24, 81.81, 81.37, 80.92, 80.45, 79.97, 79.48, 78.96, 78.43, 77.87, 77.28,
-    76.66, 76.01, 75.3, 74.54, 73.72, 72.8, 71.76, 70.55, 69.09, 67.18, 64.24,
-  ],
-  [
-    174.09, 159.1, 142.12, 128.8, 124.26, 121.42, 119.32, 117.63, 116.2, 114.96, 113.86, 112.86,
-    111.94, 111.1, 110.31, 109.57, 108.87, 108.21, 107.58, 106.98, 106.4, 105.84, 105.3, 104.78,
-    104.28, 103.79, 103.31, 102.85, 102.4, 101.95, 101.52, 101.1, 100.68, 100.27, 99.87, 99.47,
-    99.08, 98.69, 98.31, 97.94, 97.57, 97.2, 96.84, 96.48, 96.12, 95.76, 95.41, 95.06, 94.71, 94.37,
-    94.02, 93.68, 93.33, 92.99, 92.65, 92.31, 91.97, 91.63, 91.29, 90.95, 90.6, 90.26, 89.92, 89.57,
-    89.22, 88.88, 88.52, 88.17, 87.81, 87.46, 87.09, 86.73, 86.36, 85.98, 85.6, 85.21, 84.82, 84.42,
-    84.02, 83.61, 83.18, 82.75, 82.31, 81.85, 81.39, 80.9, 80.41, 79.89, 79.35, 78.79, 78.2, 77.57,
-    76.91, 76.2, 75.44, 74.61, 73.68, 72.64, 71.43, 69.95, 68.03, 65.07,
-  ],
-  [
-    175.44, 160.39, 143.34, 129.97, 125.4, 122.56, 120.45, 118.75, 117.32, 116.07, 114.96, 113.96,
-    113.04, 112.19, 111.4, 110.65, 109.95, 109.29, 108.65, 108.05, 107.46, 106.9, 106.36, 105.84,
-    105.34, 104.84, 104.37, 103.9, 103.44, 103.0, 102.56, 102.14, 101.72, 101.31, 100.9, 100.5,
-    100.11, 99.72, 99.34, 98.96, 98.59, 98.22, 97.85, 97.49, 97.13, 96.78, 96.42, 96.07, 95.72,
-    95.37, 95.02, 94.68, 94.33, 93.99, 93.65, 93.3, 92.96, 92.62, 92.28, 91.93, 91.59, 91.24, 90.9,
-    90.55, 90.2, 89.85, 89.5, 89.14, 88.78, 88.42, 88.06, 87.69, 87.32, 86.94, 86.56, 86.17, 85.78,
-    85.38, 84.97, 84.55, 84.13, 83.69, 83.25, 82.79, 82.32, 81.84, 81.33, 80.81, 80.27, 79.71,
-    79.11, 78.48, 77.82, 77.11, 76.34, 75.5, 74.57, 73.52, 72.3, 70.82, 68.88, 65.9,
-  ],
-  [
-    176.78, 161.68, 144.57, 131.14, 126.55, 123.7, 121.58, 119.87, 118.43, 117.18, 116.06, 115.05,
-    114.13, 113.28, 112.48, 111.74, 111.03, 110.36, 109.72, 109.12, 108.53, 107.97, 107.43, 106.9,
-    106.39, 105.9, 105.42, 104.95, 104.49, 104.04, 103.61, 103.18, 102.76, 102.34, 101.94, 101.53,
-    101.14, 100.75, 100.37, 99.99, 99.61, 99.24, 98.87, 98.51, 98.15, 97.79, 97.43, 97.08, 96.73,
-    96.38, 96.03, 95.68, 95.33, 94.99, 94.64, 94.3, 93.95, 93.61, 93.27, 92.92, 92.58, 92.23, 91.88,
-    91.53, 91.18, 90.83, 90.47, 90.12, 89.75, 89.39, 89.02, 88.65, 88.28, 87.9, 87.52, 87.13, 86.73,
-    86.33, 85.92, 85.5, 85.07, 84.63, 84.19, 83.73, 83.25, 82.77, 82.26, 81.74, 81.19, 80.62, 80.03,
-    79.39, 78.73, 78.01, 77.24, 76.39, 75.46, 74.4, 73.17, 71.68, 69.73, 66.73,
-  ],
-  [
-    178.12, 162.97, 145.79, 132.31, 127.7, 124.83, 122.7, 120.99, 119.54, 118.28, 117.16, 116.15,
-    115.22, 114.37, 113.57, 112.82, 112.11, 111.44, 110.8, 110.18, 109.6, 109.03, 108.49, 107.96,
-    107.45, 106.95, 106.47, 106.0, 105.54, 105.09, 104.65, 104.22, 103.79, 103.38, 102.97, 102.57,
-    102.17, 101.78, 101.39, 101.01, 100.63, 100.26, 99.89, 99.53, 99.16, 98.8, 98.44, 98.09, 97.73,
-    97.38, 97.03, 96.68, 96.33, 95.99, 95.64, 95.29, 94.95, 94.6, 94.25, 93.91, 93.56, 93.21, 92.86,
-    92.51, 92.16, 91.8, 91.45, 91.09, 90.73, 90.36, 89.99, 89.62, 89.24, 88.86, 88.47, 88.08, 87.68,
-    87.28, 86.87, 86.44, 86.02, 85.58, 85.13, 84.66, 84.19, 83.7, 83.19, 82.66, 82.11, 81.54, 80.94,
-    80.31, 79.63, 78.91, 78.13, 77.29, 76.35, 75.28, 74.05, 72.54, 70.58, 67.56,
-  ],
-  [
-    179.46, 164.25, 147.01, 133.48, 128.85, 125.97, 123.83, 122.11, 120.65, 119.39, 118.26, 117.25,
-    116.32, 115.45, 114.65, 113.9, 113.19, 112.51, 111.87, 111.25, 110.66, 110.09, 109.55, 109.02,
-    108.5, 108.0, 107.52, 107.05, 106.58, 106.13, 105.69, 105.26, 104.83, 104.41, 104.0, 103.6,
-    103.2, 102.81, 102.42, 102.04, 101.66, 101.28, 100.91, 100.54, 100.18, 99.81, 99.45, 99.1,
-    98.74, 98.39, 98.04, 97.68, 97.33, 96.98, 96.64, 96.29, 95.94, 95.59, 95.24, 94.9, 94.55, 94.2,
-    93.84, 93.49, 93.14, 92.78, 92.42, 92.06, 91.7, 91.33, 90.96, 90.58, 90.2, 89.82, 89.43, 89.04,
-    88.64, 88.23, 87.81, 87.39, 86.96, 86.52, 86.07, 85.6, 85.12, 84.63, 84.12, 83.59, 83.04, 82.46,
-    81.86, 81.22, 80.54, 79.82, 79.03, 78.18, 77.23, 76.16, 74.92, 73.41, 71.43, 68.4,
-  ],
-  [
-    180.79, 165.54, 148.23, 134.64, 130.0, 127.1, 124.95, 123.23, 121.77, 120.49, 119.36, 118.34,
-    117.41, 116.54, 115.74, 114.98, 114.26, 113.59, 112.94, 112.32, 111.73, 111.16, 110.61, 110.07,
-    109.56, 109.06, 108.57, 108.09, 107.63, 107.18, 106.73, 106.3, 105.87, 105.45, 105.04, 104.63,
-    104.23, 103.83, 103.44, 103.06, 102.68, 102.3, 101.93, 101.56, 101.19, 100.83, 100.47, 100.11,
-    99.75, 99.39, 99.04, 98.69, 98.33, 97.98, 97.63, 97.28, 96.93, 96.58, 96.23, 95.88, 95.53,
-    95.18, 94.83, 94.47, 94.11, 93.76, 93.4, 93.03, 92.67, 92.3, 91.92, 91.55, 91.17, 90.78, 90.39,
-    89.99, 89.59, 89.18, 88.76, 88.34, 87.9, 87.46, 87.01, 86.54, 86.06, 85.56, 85.05, 84.51, 83.96,
-    83.38, 82.77, 82.13, 81.45, 80.72, 79.93, 79.07, 78.12, 77.05, 75.79, 74.28, 72.29, 69.23,
-  ],
-];
-export const SIGNIFICANCE_LEVELS = [
-  0.0, 0.0, 0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14,
-  0.15, 0.16, 0.17, 0.18, 0.19, 0.2, 0.21, 0.22, 0.23, 0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3,
-  0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46,
-  0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62,
-  0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78,
-  0.79, 0.8, 0.81, 0.82, 0.83, 0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9, 0.91, 0.92, 0.93, 0.94,
-  0.95, 0.96, 0.97, 0.98, 0.99,
-];
diff --git a/x-pack/plugins/data_visualizer/public/application/data_comparison/data_comparison_utils.ts b/x-pack/plugins/data_visualizer/public/application/data_comparison/data_comparison_utils.ts
index 10ad33e87cd1894..bb9b5cbc5a99b36 100644
--- a/x-pack/plugins/data_visualizer/public/application/data_comparison/data_comparison_utils.ts
+++ b/x-pack/plugins/data_visualizer/public/application/data_comparison/data_comparison_utils.ts
@@ -5,67 +5,6 @@
  * 2.0.
  */
 
-import { CRITICAL_VALUES_TABLE, SIGNIFICANCE_LEVELS } from './constants';
-import { Histogram } from './types';
-
-const criticalTableLookup = (chi2Statistic: number, df: number) => {
-  if (df < 1) return 1;
-  if (!Number.isInteger(df)) throw Error('Degrees of freedom must be a valid integer');
-
-  // Get the row index
-  const rowIndex: number = df - 1;
-
-  // Get the column index
-  let minDiff: number = Math.abs(CRITICAL_VALUES_TABLE[rowIndex][0] - chi2Statistic);
-  let columnIndex: number = 0;
-  for (let j = 1; j < CRITICAL_VALUES_TABLE[rowIndex].length; j++) {
-    const diff: number = Math.abs(CRITICAL_VALUES_TABLE[rowIndex][j] - chi2Statistic);
-    if (diff < minDiff) {
-      minDiff = diff;
-      columnIndex = j;
-    }
-  }
-
-  const significanceLevel: number = SIGNIFICANCE_LEVELS[columnIndex];
-  return significanceLevel;
-};
-
-/**
- * Compute the p-value for how similar the datasets are.
- * Returned value ranges from 0 to 1, with 1 meaning the datasets are identical.
- * @param normalizedBaselineTerms
- * @param normalizedDriftedTerms
- */
-export const computeChi2PValue = (
-  normalizedBaselineTerms: Histogram[],
-  normalizedDriftedTerms: Histogram[]
-) => {
-  // Get all unique keys from both arrays
-  const allKeys: string[] = Array.from(
-    new Set([
-      ...normalizedBaselineTerms.map((term) => term.key.toString()),
-      ...normalizedDriftedTerms.map((term) => term.key.toString()),
-    ])
-  ).slice(0, 100);
-
-  // Calculate the chi-squared statistic and degrees of freedom
-  let chiSquared: number = 0;
-  const degreesOfFreedom: number = allKeys.length - 1;
-
-  if (degreesOfFreedom === 0) return 1;
-
-  allKeys.forEach((key) => {
-    const baselineTerm = normalizedBaselineTerms.find((term) => term.key === key);
-    const driftedTerm = normalizedDriftedTerms.find((term) => term.key === key);
-
-    const observed: number = driftedTerm?.percentage ?? 0;
-    const expected: number = baselineTerm?.percentage ?? 0;
-    chiSquared += Math.pow(observed - expected, 2) / (expected > 0 ? expected : 1e-6); // Prevent divide by zero
-  });
-
-  return criticalTableLookup(chiSquared, degreesOfFreedom);
-};
-
 /**
  * formatSignificanceLevel
  * @param significanceLevel
diff --git a/x-pack/plugins/data_visualizer/public/application/data_comparison/types.ts b/x-pack/plugins/data_visualizer/public/application/data_comparison/types.ts
index 46272c045d51c5c..3fb109bb39c7d86 100644
--- a/x-pack/plugins/data_visualizer/public/application/data_comparison/types.ts
+++ b/x-pack/plugins/data_visualizer/public/application/data_comparison/types.ts
@@ -5,10 +5,13 @@
  * 2.0.
  */
 
+import * as estypes from '@elastic/elasticsearch/lib/api/typesWithBodyKey';
+
 import { isPopulatedObject } from '@kbn/ml-is-populated-object';
 import { Filter, Query } from '@kbn/es-query';
-import * as estypes from '@elastic/elasticsearch/lib/api/typesWithBodyKey';
 import { SEARCH_QUERY_LANGUAGE, SearchQueryLanguage } from '@kbn/ml-query-utils';
+import type { Histogram } from '@kbn/ml-chi2test';
+
 import { DATA_COMPARISON_TYPE } from './constants';
 
 export interface DataComparisonAppState {
@@ -35,12 +38,6 @@ export const getDefaultDataComparisonState = (
   ...overrides,
 });
 
-export interface Histogram {
-  doc_count: number;
-  key: string | number;
-  percentage?: number;
-}
-
 export interface ComparisonHistogram extends Histogram {
   g: string;
 }
diff --git a/x-pack/plugins/data_visualizer/public/application/data_comparison/use_data_drift_result.ts b/x-pack/plugins/data_visualizer/public/application/data_comparison/use_data_drift_result.ts
index a8e145c3fee1bac..3d60e9ddf5935f3 100644
--- a/x-pack/plugins/data_visualizer/public/application/data_comparison/use_data_drift_result.ts
+++ b/x-pack/plugins/data_visualizer/public/application/data_comparison/use_data_drift_result.ts
@@ -5,24 +5,31 @@
  * 2.0.
  */
 
+import { chunk, cloneDeep, flatten } from 'lodash';
 import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
-import type { IKibanaSearchRequest } from '@kbn/data-plugin/common';
 import { lastValueFrom } from 'rxjs';
+
 import * as estypes from '@elastic/elasticsearch/lib/api/typesWithBodyKey';
+import type {
+  MappingRuntimeFields,
+  QueryDslBoolQuery,
+} from '@elastic/elasticsearch/lib/api/typesWithBodyKey';
+import { AggregationsAggregate } from '@elastic/elasticsearch/lib/api/types';
+
+import type { IKibanaSearchRequest } from '@kbn/data-plugin/common';
 import type { DataView } from '@kbn/data-views-plugin/public';
 import { isPopulatedObject } from '@kbn/ml-is-populated-object';
 import type { Query } from '@kbn/data-plugin/common';
-import { chunk, cloneDeep, flatten } from 'lodash';
-import type { MappingRuntimeFields } from '@elastic/elasticsearch/lib/api/typesWithBodyKey';
 import type { SearchQueryLanguage } from '@kbn/ml-query-utils';
 import { getDefaultDSLQuery } from '@kbn/ml-query-utils';
 import { i18n } from '@kbn/i18n';
 import { RandomSampler, RandomSamplerWrapper } from '@kbn/ml-random-sampler-utils';
 import { extractErrorMessage } from '@kbn/ml-error-utils';
-import { AggregationsAggregate } from '@elastic/elasticsearch/lib/api/types';
-import { QueryDslBoolQuery } from '@elastic/elasticsearch/lib/api/typesWithBodyKey';
 import { isDefined } from '@kbn/ml-is-defined';
+import { computeChi2PValue, type Histogram } from '@kbn/ml-chi2test';
+
 import { useDataVisualizerKibana } from '../kibana_context';
+
 import {
   REFERENCE_LABEL,
   COMPARISON_LABEL,
@@ -31,7 +38,6 @@ import {
 } from './constants';
 
 import {
-  Histogram,
   NumericDriftData,
   CategoricalDriftData,
   Range,
@@ -42,7 +48,6 @@ import {
   DataComparisonField,
   TimeRange,
 } from './types';
-import { computeChi2PValue } from './data_comparison_utils';
 
 export const getDataComparisonType = (kibanaType: string): DataComparisonField['type'] => {
   switch (kibanaType) {
diff --git a/yarn.lock b/yarn.lock
index 7264182e33b4a01..6b5e6794c5bcff7 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -4872,6 +4872,10 @@
   version "0.0.0"
   uid ""
 
+"@kbn/ml-chi2test@link:x-pack/packages/ml/chi2test":
+  version "0.0.0"
+  uid ""
+
 "@kbn/ml-data-frame-analytics-utils@link:x-pack/packages/ml/data_frame_analytics_utils":
   version "0.0.0"
   uid ""