Review third uncertain AI cohort and retain shutdown and mixed service evidence

apps/docs/scripts/auth-cli.ts

@@ -182,10 +182,10 @@ async function main() {
   assert.equal(researchResponse.status, 200, "authenticated research API");
   assert.ok(researchResponse.headers.get("cache-control")?.includes("no-store"));
   const research = await researchResponse.json();
-  assert.equal(research.companies.length, 1078);
+  assert.equal(research.companies.length, 1090);
   assert.equal(research.categories.length, 11);
-  assert.equal(research.evidence.length, 2831);
-  assert.equal(research.observations.length, 380);
+  assert.equal(research.evidence.length, 2901);
+  assert.equal(research.observations.length, 388);
   assert.equal((await request("/api/research/ai-companies", { method: "POST", headers })).status, 405);
   const researchPage = await request("/docs/other-research/ai-company-research/overview", { headers });
   assert.equal(researchPage.status, 200);

apps/docs/tests/research.test.ts

@@ -23,9 +23,9 @@ test("research revisions share the authentication database and preserve replay l
     for (let i = 0; i < 20; i++) consumeCode(config, "invalid");
     assert.equal(consumeCode(config, "invalid"), "limited");
     const initial = readResearchSnapshot();
-    assert.equal(initial.companies.length, 1078);
-    assert.equal(initial.evidence.length, 2831);
-    assert.equal(initial.observations.length, 380);
+    assert.equal(initial.companies.length, 1090);
+    assert.equal(initial.evidence.length, 2901);
+    assert.equal(initial.observations.length, 388);
     assert.deepEqual(initial.candidateBatches, seed.candidateBatches, "candidate gaps persist in the same database metadata");
     assert.deepEqual(initial.directoryRechecks, seed.directoryRechecks, "follow-up classifications persist without rewriting the discovery audit");
     assert.deepEqual(readResearchSnapshot(), initial, "reopening does not duplicate records");
@@ -64,8 +64,8 @@ test("research validation rejects broken evidence and unsafe source links", () =
 
 test("reviews link explicit companies without turning global or excluded cases into companies", () => {
   const snapshot = structuredClone(seed) as ResearchSnapshot;
-  assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 176);
-  assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 14);
+  assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 179);
+  assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 15);
   assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 44);
   const review = snapshot.reviews.find((r) => r.id === "R4")!;
   assert.deepEqual(reviewCompanyIds(snapshot, review), ["AI007", "AI013", "AI021", "AI034"]);
@@ -85,11 +85,11 @@ test("reviews link explicit companies without turning global or excluded cases i
 test("disclosure counts exclude client income, biographies, targets and duplicate milestones", () => {
   const snapshot = seed as ResearchSnapshot;
   const summary = categorySummary(snapshot);
-  assert.equal(summary.reduce((n, c) => n + c.count, 0), 1078);
+  assert.equal(summary.reduce((n, c) => n + c.count, 0), 1090);
   assert.equal(summary.reduce((n, c) => n + c.self, 0), 53);
   assert.equal(summary.reduce((n, c) => n + c.estimate, 0), 2);
   assert.equal(summary.reduce((n, c) => n + c.platform, 0), 19);
-  assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 1004);
+  assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 1016);
   assert.equal(snapshot.companies.find((c) => c.name === "Rork")?.revenueStatus, "unknown");
   assert.equal(snapshot.companies.find((c) => c.name === "Result")?.revenueStatus, "unknown");
   assert.ok(snapshot.observations.filter((o) => o.selection === "signal").every((o) => o.scope === "公司整体"));
@@ -124,8 +124,8 @@ test("service run rates, legacy freight revenue and paid adoption do not become
 
 test("technical reviews keep accessible materials separate from tested capabilities", () => {
   const snapshot = structuredClone(seed) as ResearchSnapshot;
-  assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 88);
-  assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 19);
+  assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 93);
+  assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 20);
   assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "independent-test").length, 1);
   assert.equal(snapshot.companies.find((c) => c.id === "AI051")?.revenueStatus, "unknown");
   assert.match(snapshot.companies.find((c) => c.id === "AI051")!.technicalReview!.testScope!, /Sep 2026/);
@@ -522,6 +522,34 @@ test("a second uncertain cohort admits evidenced AI tasks while preserving auton
   assert.ok(!platformIncomeSample(snapshot, { windowDays: null }).points.some((p) => p.observation.id.startsWith("UNCLEAR2-")));
 });
 
+test("the third uncertain cohort retains shutdowns, unknown scale and mixed data-service economics", () => {
+  const snapshot = seed as ResearchSnapshot;
+  const batch = snapshot.candidateBatches!.find((b) => b.id === "YC-AI-UNCLEAR-3")!;
+  const original = coverageAudit.records.filter((r) => r.status === "ai-unclear").slice(48, 72);
+  assert.equal(batch.complete, false);
+  assert.deepEqual(batch.records.map((r) => r.url), original.map((r) => r.source));
+  assert.equal(batch.records.filter((r) => r.status === "linked").length, 12);
+  assert.equal(batch.records.filter((r) => r.status === "pending-ai").length, 12);
+  for (const name of ["Voltair", "Mirabelle", "ZeroSettle", "Kyten Technologies"]) {
+    assert.equal(batch.records.find((r) => r.name === name)!.companyId, undefined);
+  }
+  const klaus = snapshot.companies.find((c) => c.id === "YC31084")!;
+  assert.equal(klaus.revenueStatus, "unknown", "a shutdown must not manufacture a zero revenue report");
+  assert.match(klaus.stage, /2026-09-01停服/);
+  assert.ok(!snapshot.observations.some((o) => o.company === klaus.id));
+  const openspec = snapshot.companies.find((c) => c.id === "YC31116")!;
+  assert.equal(openspec.team, null, "missing staff count stays unknown");
+  assert.equal(openspec.year, 2025, "a license copyright line alone is not a company founding date");
+  assert.equal(openspec.technicalReview!.level, "public-artifact");
+  assert.match(snapshot.companies.find((c) => c.id === "YC31095")!.businessModel!, /清洁/);
+  const figures = snapshot.observations.filter((o) => o.id.startsWith("UNCLEAR3-"));
+  assert.equal(figures.length, 8);
+  assert.ok(figures.every((o) => ["excluded", "adoption"].includes(o.selection) && !o.metric && o.comparisonGroup === null));
+  assert.equal(figures.find((o) => o.id.endsWith("SHORTKIT-OLD-ARR"))!.selection, "excluded");
+  assert.equal(figures.find((o) => o.id.endsWith("KALPA-TRAIN-COST"))!.selection, "excluded");
+  assert.ok(!platformIncomeSample(snapshot, { windowDays: null }).points.some((p) => p.observation.id.startsWith("UNCLEAR3-")));
+});
+
 test("Chinese discovery entries preserve unread articles and use separate primary evidence", () => {
   const snapshot = structuredClone(seed) as ResearchSnapshot;
   const batch = snapshot.candidateBatches!.find((b) => b.id === "JQ-2026-targeted-1")!;

content/research/ai-companies.sources.json

@@ -1,5 +1,5 @@
 {
-  "version": "2026-10-31-ai-unclear-2",
+  "version": "2026-10-31-ai-unclear-3",
   "scopeConfirmedAt": "2026-10-30",
   "acceptance": "以确认的公开来源清单为边界，逐条核对并标明缺项。",
   "provenance": "S01—S12恢复自已提交用户的《AI公司研究_来源与分类模板》来源清单；S13—S16单列后续已使用的补充证据渠道，不将使用次数当作全量覆盖。",
@@ -16,7 +16,7 @@
       "initialAccess": "官网目录可访问",
       "boundary": "已读取八个2025—2026批次镜像候选池1428条，再核YC官方页面；不声称覆盖全部YC历年或未公开公司。",
       "limitation": "批次不等于成立年；不代表全部公司",
-      "nextCheck": "已统一企业141、行业252、模型标签26、开发标签51、其余标签34项，共504项新增主营复核。当前928条原YC新增记录保留发现来源，其中基础项871条均已做主营人工复核（871条），57条深化个案。C05规则89保留27/移62，C05标签52保留10/移42；C07规则184保留135/移49，C07标签68保留39/移29；模型标签26保留17/移9，开发标签51保留16/移35，其余标签34保留16/移18。主营复核仍含C00/短简介/混合交付缺项，不等完整产品/技术/财务审计。Tasklet及Native新产品与旧业务链保留，发现审计不改；Freya、Epicenter、Stellon许可及公开材料/厂商基准范围分开。客户收入、估价、资产、节省、管线/意向、预订需求、旧公司收入与示例排除自身ARR；Locke服务run-rate不等ARR，Mixy历史MRR/捐赠、Isengard无期间收入分开。各批证据、观测、核查与主体/收费/人工成本缺项均保留；全部确认来源清单的候选范围、AI不明/成立冲突及公司财务技术缺项继续核，不能声称全来源研究完成。 原AI不明192项已完成两批48项补核：27新增、3复用、18保留AI主营待核；另有此前OpenSEO复核1项，合计49项已有后续记录，其余143项继续补核。原发现审计及928条初始新增不回写。Scalar Field历史月收入非已确认MRR；客户成果、旧事业保费/平台、资助申请及旧科研赞助排除ARR；自主硬件/自动化、.ai域名和AI客户不单独作为AI主营证明。"
+      "nextCheck": "已统一企业141、行业252、模型标签26、开发标签51、其余标签34项，共504项新增主营复核。当前928条原YC新增记录保留发现来源，其中基础项871条均已做主营人工复核（871条），57条深化个案。C05规则89保留27/移62，C05标签52保留10/移42；C07规则184保留135/移49，C07标签68保留39/移29；模型标签26保留17/移9，开发标签51保留16/移35，其余标签34保留16/移18。主营复核仍含C00/短简介/混合交付缺项，不等完整产品/技术/财务审计。Tasklet及Native新产品与旧业务链保留，发现审计不改；Freya、Epicenter、Stellon许可及公开材料/厂商基准范围分开。客户收入、估价、资产、节省、管线/意向、预订需求、旧公司收入与示例排除自身ARR；Locke服务run-rate不等ARR，Mixy历史MRR/捐赠、Isengard无期间收入分开。各批证据、观测、核查与主体/收费/人工成本缺项均保留；全部确认来源清单的候选范围、AI不明/成立冲突及公司财务技术缺项继续核，不能声称全来源研究完成。 原AI不明192项已补核三批72项：39新增、3复用、30保留AI主营待核；另此前OpenSEO复核1项，合计73项已有后续记录，其余119项继续补核。原发现审计及928条初始新增不回写。Klaus有官网明确停服声明而历史收入仍未知；Scalar Field旧月收入、训练成本、旧事业ARR/保费、客户成果/资产、资助申请、stars/采用率均按主体和口径分开，未新增可比MRR/ARR。"
     },
     {
       "id": "S02",

content/research/ai-income-analysis.json

@@ -1,5 +1,5 @@
 {
-  "sourceVersion": "2026-10-31-ai-unclear-2",
+  "sourceVersion": "2026-10-31-ai-unclear-3",
   "asOf": "2026-10-31",
   "metric": "platform-mrr-usd",
   "sampleUnit": "product-or-business",