fix(8.0): distinctCount aggregates distinct values of any type + edge-case regression tests

distinctCount previously routed through getNumericField, so it silently returned 0 for
string/categorical fields — its primary use case (distinct categories / users / tags).
It now tracks the raw value (any type, keyed by string form) on both the add and remove
contribution paths; numeric ops (sum/avg/min/max/stddev/variance/percentile) are unchanged.

Also adds regression coverage confirming two long-standing query behaviors hold on the 8.0
engine: find({ where: { field: { missing: true } } }) matches a never-registered field, and
find({ type: [...], orderBy, limit }) returns the full set on the first call after
mutate+query+get. (percentile/median were already correct.)

Tests: tests/unit/brainy/find-agg-edge-cases.test.ts + existing aggregation suite green.

src/aggregation/AggregationIndex.ts

@@ -200,8 +200,9 @@ function updateMetricAdd(state: MetricState, val: number, op: AggregationOp): vo
     state.m2 = (state.m2 ?? 0) + (val - oldMean) * (val - mean)
   }
 
-  // Percentile/distinctCount: track the value multiset (matches Cortex's value_counts).
+  // Percentile: track the numeric value multiset (matches Cortex's value_counts) for the
-  if (op === 'percentile' || op === 'distinctCount') {
+  // exact-percentile computation. (distinctCount is tracked separately, on raw values.)
+  if (op === 'percentile') {
     if (!state.valueCounts) state.valueCounts = {}
     const key = String(val)
     state.valueCounts[key] = (state.valueCounts[key] ?? 0) + 1
@@ -213,8 +214,9 @@ function updateMetricAdd(state: MetricState, val: number, op: AggregationOp): vo
  * Note: removing from Welford's is the inverse update.
  */
 function updateMetricRemove(state: MetricState, val: number, op: AggregationOp): void {
-  // Percentile/distinctCount: decrement the value multiset (drop the key at zero).
+  // Percentile: decrement the numeric value multiset (drop the key at zero).
-  if ((op === 'percentile' || op === 'distinctCount') && state.valueCounts) {
+  // (distinctCount is decremented separately, on raw values.)
+  if (op === 'percentile' && state.valueCounts) {
     const key = String(val)
     const c = state.valueCounts[key]
     if (c !== undefined) {
@@ -741,6 +743,17 @@ export class AggregationIndex {
         if (metricDef.op === 'count') {
           state.count++
           state.sum++
+        } else if (metricDef.op === 'distinctCount') {
+          // distinctCount tracks distinct values of ANY type (strings, numbers, booleans),
+          // keyed by their string form — NOT numeric-coerced, since its primary use is
+          // categorical (distinct categories / users / tags), not numeric columns.
+          const raw = resolveEntityField(entity as unknown as HNSWNounWithMetadata, metricDef.field!)
+          if (raw !== undefined && raw !== null) {
+            if (!state.valueCounts) state.valueCounts = {}
+            const key = String(raw)
+            state.valueCounts[key] = (state.valueCounts[key] ?? 0) + 1
+            state.count++
+          }
         } else {
           const val = getNumericField(entity, metricDef.field!)
           if (val !== undefined) {
@@ -777,6 +790,17 @@ export class AggregationIndex {
         if (metricDef.op === 'count') {
           state.count = Math.max(0, state.count - 1)
           state.sum = Math.max(0, state.sum - 1)
+        } else if (metricDef.op === 'distinctCount') {
+          const raw = resolveEntityField(entity as unknown as HNSWNounWithMetadata, metricDef.field!)
+          if (raw !== undefined && raw !== null && state.valueCounts) {
+            const key = String(raw)
+            const c = state.valueCounts[key]
+            if (c !== undefined) {
+              if (c <= 1) delete state.valueCounts[key]
+              else state.valueCounts[key] = c - 1
+            }
+            state.count = Math.max(0, state.count - 1)
+          }
         } else {
           const val = getNumericField(entity, metricDef.field!)
           if (val !== undefined) {

tests/unit/brainy/find-agg-edge-cases.test.ts

@@ -0,0 +1,102 @@
+/**
+ * Edge-case regression tests for three long-standing query/aggregation items
+ * (#26 missing-field predicate, #27 type[]+orderBy first-call completeness,
+ * #24 percentile/median/distinctCount aggregation ops) — verified against the 8.0 engine.
+ */
+
+import { describe, it, expect, beforeEach, afterEach } from 'vitest'
+import { Brainy } from '../../../src/brainy'
+import { createTestConfig } from '../../helpers/test-factory'
+import { NounType } from '../../../src/types/graphTypes'
+
+describe('find + aggregation edge cases', () => {
+  let brain: Brainy
+
+  beforeEach(async () => {
+    brain = new Brainy(createTestConfig())
+    await brain.init()
+  })
+
+  afterEach(async () => {
+    await brain.close()
+  })
+
+  // #26
+  it('find({ where: { field: { missing: true } } }) matches a never-registered field', async () => {
+    const a = await brain.add({ data: 'a', type: NounType.Thing, subtype: 'x', metadata: { name: 'A' } })
+    const b = await brain.add({
+      data: 'b',
+      type: NounType.Thing,
+      subtype: 'x',
+      metadata: { name: 'B', status: 'open' }
+    })
+
+    // Never-registered field → every entity "misses" it.
+    const neverReg = await brain.find({ where: { neverRegistered: { missing: true } }, limit: 100 })
+    const neverRegIds = neverReg.map((r) => r.id)
+    expect(neverRegIds).toContain(a)
+    expect(neverRegIds).toContain(b)
+
+    // Registered field, absent on one entity.
+    const noStatus = await brain.find({ where: { status: { missing: true } }, limit: 100 })
+    const noStatusIds = noStatus.map((r) => r.id)
+    expect(noStatusIds).toContain(a) // a has no status
+    expect(noStatusIds).not.toContain(b) // b has status
+  })
+
+  // #27
+  it('find({ type: [...], orderBy, limit }) returns the full set on the first call after mutate+query+get', async () => {
+    const ids: string[] = []
+    for (let i = 0; i < 6; i++) {
+      ids.push(
+        await brain.add({
+          data: `e${i}`,
+          type: i % 2 === 0 ? NounType.Document : NounType.Person,
+          subtype: 'x',
+          metadata: { n: i }
+        })
+      )
+    }
+    await brain.update({ id: ids[0], metadata: { n: 100 }, merge: true }) // mutate
+    await brain.find({ query: 'e' }) // query
+    await brain.get(ids[1]) // get
+
+    const r = await brain.find({
+      type: [NounType.Document, NounType.Person],
+      orderBy: 'n',
+      limit: 10
+    })
+    expect(r).toHaveLength(6) // all six, not a partial page
+  })
+
+  // #24
+  it('queryAggregate supports percentile (median) and distinctCount', async () => {
+    brain.defineAggregate({
+      name: 'amounts',
+      source: { type: NounType.Event },
+      groupBy: ['subtype'], // all 'txn' → one group
+      metrics: {
+        median: { op: 'percentile', field: 'amount', p: 0.5 },
+        distinctCats: { op: 'distinctCount', field: 'category' }
+      }
+    })
+
+    const rows0: Array<[number, string]> = [
+      [10, 'a'],
+      [20, 'b'],
+      [30, 'a'],
+      [40, 'c'],
+      [50, 'b']
+    ]
+    for (const [amount, category] of rows0) {
+      await brain.add({ data: 'evt', type: NounType.Event, subtype: 'txn', metadata: { amount, category } })
+    }
+
+    const rows = await brain.queryAggregate('amounts', {})
+    expect(rows.length).toBeGreaterThanOrEqual(1)
+    const m = (rows[0] as any).metrics ?? rows[0]
+    expect(m.median).toBeGreaterThanOrEqual(20)
+    expect(m.median).toBeLessThanOrEqual(40)
+    expect(m.distinctCats).toBe(3) // a, b, c
+  })
+})