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, 1302);
+  assert.equal(research.companies.length, 1312);
   assert.equal(research.categories.length, 11);
-  assert.equal(research.evidence.length, 5310);
-  assert.equal(research.observations.length, 493);
+  assert.equal(research.evidence.length, 5354);
+  assert.equal(research.observations.length, 495);
   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

@@ -92,7 +92,8 @@ test("ARR ledger preserves historical estimates without promoting targets, run r
   const ids = new Set(rows.map((row) => row.observation.id));
   for (const id of ["O064", "O065", "O066", "O069", "O070", "O071", "O046"])
     assert.ok(ids.has(id), `${id}: historical claims, estimates and unknown currencies remain visible`);
-  for (const id of ["O050", "O052", "O053", "O055", "SR-O-AI067-runrate", "ROCKET-O-arr", "AQ-O-RUNRATE"])
+  for (const id of ["O050", "O052", "O053", "O055", "SR-O-AI067-runrate", "ROCKET-O-arr", "AQ-O-RUNRATE",
+    "SRLEARN1-O-CLAIR-D2C", "SRLEARN1-O-CLAIR-B2B"])
     assert.ok(!ids.has(id), `${id}: excluded or ambiguous records cannot enter the ARR ledger`);
   assert.equal(rows.find((row) => row.observation.id === "O066")?.observation.selection, "historical-estimate");
   assert.equal(rows.find((row) => row.observation.id === "O046")?.observation.unit, "原文$，币种待核");
@@ -123,11 +124,11 @@ 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, 1302);
-    assert.equal(initial.evidence.length, 5310);
-    assert.equal(initial.observations.length, 493);
+    assert.equal(initial.companies.length, 1312);
+    assert.equal(initial.evidence.length, 5354);
+    assert.equal(initial.observations.length, 495);
     const businessReviews = initial.reviews.filter((review) => review.type === businessModelReviewType);
-    assert.equal(businessReviews.length, 22);
+    assert.equal(businessReviews.length, 26);
     assert.deepEqual(businessReviews, seed.reviews.filter((review) => review.type === businessModelReviewType)
       .sort((a, b) => a.id.localeCompare(b.id)),
       "business model assessments and company/evidence links persist in the shared database");
@@ -169,9 +170,9 @@ 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, 291);
-  assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 157);
-  assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 62);
+  assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 299);
+  assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 159);
+  assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 65);
   const review = snapshot.reviews.find((r) => r.id === "R4")!;
   assert.deepEqual(reviewCompanyIds(snapshot, review), ["AI007", "AI013", "AI021", "AI034"]);
   assert.deepEqual(reviewCompanyIds(snapshot, snapshot.reviews.find((r) => r.id === "CN-R-PSI")!), []);
@@ -190,11 +191,11 @@ 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), 1302);
+  assert.equal(summary.reduce((n, c) => n + c.count, 0), 1312);
   assert.equal(summary.reduce((n, c) => n + c.self, 0), 63);
   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), 1218);
+  assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 1228);
   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"));
@@ -229,7 +230,7 @@ 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, 293);
+  assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 303);
   assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 29);
   assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "independent-test").length, 1);
   assert.equal(snapshot.companies.find((c) => c.id === "AI051")?.revenueStatus, "unknown");
@@ -645,10 +646,10 @@ test("public Speedrun cohort rosters preserve the finite boundary without invent
   const newlyRegistered = rosters.filter((batch) => !batch.id.startsWith("SR007-")).flatMap((batch) => batch.records);
   assert.equal(newlyRegistered.length, 242);
   assert.equal(newlyRegistered.filter((row) => row.status === "pending-year").length, 5);
-  assert.equal(newlyRegistered.filter((row) => row.status === "linked").length, 58);
+  assert.equal(newlyRegistered.filter((row) => row.status === "linked").length, 68);
   assert.equal(newlyRegistered.filter((row) => row.status === "existing-outside-cohort").length, 1);
   assert.equal(newlyRegistered.filter((row) => row.status === "outside-cohort").length, 144);
-  assert.equal(newlyRegistered.filter((row) => row.status === "pending-ai").length, 34,
+  assert.equal(newlyRegistered.filter((row) => row.status === "pending-ai").length, 24,
     "a known self-reported founding year does not by itself establish the current AI business");
   assert.equal(newlyRegistered.filter((row) => row.profileStatus === "readable").length, 232);
   assert.ok(newlyRegistered.filter((row) => row.status === "outside-cohort").every((row) =>

content/research/ai-companies.sources.json

@@ -1,5 +1,5 @@
 {
-  "version": "2026-11-01-sr-robot-evals-1",
+  "version": "2026-11-01-source-closeout-1",
   "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。",
@@ -3040,8 +3040,8 @@
         "speedrun.a16z.com"
       ],
       "initialAccess": "见具体证据访问记录",
-      "boundary": "公开七批321唯一位置及原HTML/GET审计保留；226补读档案中138旧年、88自报两年：49已补官网关联、34当前AI/主体待核、5品牌/年份待核。本系列311独立档案已读，10复用未本轮重读。七批129关联、1既有超年、145旧年、6品牌/年份、40当前AI/交付待核。新增SafeWorld/Sparta/Syncere/ThirdBrain/Dispatcher/Sonatic并保留封闭beta、邀请预订/候补、法律页和当前版本缺项。新增20证据，不增经营观测；原493、ARR/MRR和YC覆盖保留。厂商历史20/20含4已知差异，不当当前/独立验收；未来月费/候补不作ARR。",
-      "nextCheck": "继续34个新批次及SR007六个主营待核、10复用变化；核品牌/注册及实际合同/付费。Sparta当前候选/连接器验收和额度成本、Syncere制造/交付/保修/未来费率、ThirdBrain权重IP及专家训练成本、SafeWorld实际评估协议、Dispatcher实体运营及Sonatic权限/本域条款缺项需补。不以历史厂商报告、演示/候补或未来报价推当前性能、ARR/造假概率。",
+      "boundary": "公开七批321唯一位置及原HTML/GET审计保留；226补读档案中138旧年、88自报两年：59已补官网关联、24当前AI/主体待核、5品牌/年份待核。本系列311独立档案已读，10复用未冒充本轮重读。七批139关联、1既有超年、145旧年、6品牌/年份、30当前AI/交付待核。最后20个初始备注已逐项核对14官网和6缺有效网址，替换具体缺项；5新关联，15留未决，不继续扩池。新增23证据，原495经营记录/ARR/MRR和YC保留。有限来源逐条核对并保留未决，不证明未公开公司覆盖或全部注册/技术/财务审计。",
+      "nextCheck": "本轮有限公开来源首轮核对已落实具体记录/缺项；24新批次及SR007六项AI/身份、六项年份未决保留，不用标签强填。后续只有新增公司原件、可访问产品、注册/品牌链或真实合同/净费/财务日出现时补证；不无限重试同一空页/权限失败，也不由采用/请求/未来全上线预测推ARR/造假。",
       "limitation": "来源可读不等于声明已独立验证。",
       "rosterAudit": {
         "url": "https://speedrun.a16z.com/companies",
@@ -3189,8 +3189,8 @@
         },
         "outsideTargetYears": 138,
         "targetYearSelfReports": 88,
-        "newLinkedCompanies": 49,
-        "pendingCurrentAIOrIdentity": 34,
+        "newLinkedCompanies": 59,
+        "pendingCurrentAIOrIdentity": 24,
         "records": [
           {
             "candidateId": "SR001R-C01",

content/research/ai-income-analysis.json

@@ -1,5 +1,5 @@
 {
-  "sourceVersion": "2026-11-01-sr-robot-evals-1",
+  "sourceVersion": "2026-11-01-source-closeout-1",
   "asOf": "2026-11-01",
   "metric": "platform-mrr-usd",
   "sampleUnit": "product-or-business",