Review agent infrastructure classifications and financial service boundaries

apps/docs/scripts/auth-cli.ts

@@ -184,8 +184,8 @@ async function main() {
   const research = await researchResponse.json();
   assert.equal(research.companies.length, 1047);
   assert.equal(research.categories.length, 11);
-  assert.equal(research.evidence.length, 1548);
-  assert.equal(research.observations.length, 219);
+  assert.equal(research.evidence.length, 1579);
+  assert.equal(research.observations.length, 220);
   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

@@ -24,8 +24,8 @@ test("research revisions share the authentication database and preserve replay l
     assert.equal(consumeCode(config, "invalid"), "limited");
     const initial = readResearchSnapshot();
     assert.equal(initial.companies.length, 1047);
-    assert.equal(initial.evidence.length, 1548);
-    assert.equal(initial.observations.length, 219);
+    assert.equal(initial.evidence.length, 1579);
+    assert.equal(initial.observations.length, 220);
     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");
@@ -64,7 +64,7 @@ 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, 95);
+  assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 97);
   assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 11);
   assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 41);
   const review = snapshot.reviews.find((r) => r.id === "R4")!;
@@ -86,10 +86,10 @@ test("disclosure counts exclude client income, biographies, targets and duplicat
   const snapshot = seed as ResearchSnapshot;
   const summary = categorySummary(snapshot);
   assert.equal(summary.reduce((n, c) => n + c.count, 0), 1047);
-  assert.equal(summary.reduce((n, c) => n + c.self, 0), 37);
+  assert.equal(summary.reduce((n, c) => n + c.self, 0), 38);
   assert.equal(summary.reduce((n, c) => n + c.estimate, 0), 2);
   assert.equal(summary.reduce((n, c) => n + c.platform, 0), 16);
-  assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 992);
+  assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 991);
   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"));
@@ -97,7 +97,7 @@ test("disclosure counts exclude client income, biographies, targets and duplicat
 
 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, 47);
+  assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 48);
   assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 8);
   assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "independent-test").length, 1);
   assert.equal(snapshot.companies.find((c) => c.id === "AI051")?.revenueStatus, "unknown");

content/research/ai-companies.sources.json

@@ -1,5 +1,5 @@
 {
-  "version": "2026-10-30-36",
+  "version": "2026-10-30-37",
   "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。",
@@ -15,7 +15,7 @@
       ],
       "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。",
-      "nextCheck": "原新增目录中23条深化为个案并保留来源；当前基础项177条主营分类人工复核。Dayjob成立/转型冲突已留缺；继续核其余资料与财务，客户收益、代采货值不当公司ARR。",
+      "nextCheck": "原新增目录中24条深化为个案并保留来源；当前基础项202条主营分类人工复核。26项Agent设施规则初分已逐项重读，6项按交付移类；Inactive/Acquired、历史发布与现主营、Multiplier客户资产与自身ARR边界注明。继续核其余资料、经营状态与财务，保留原始审计，不把客户收益或采购/交易量当收入。",
       "limitation": "批次不等于成立年；不代表全部公司"
     },
     {

content/research/ai-income-analysis.json

@@ -1,5 +1,5 @@
 {
-  "sourceVersion": "2026-10-30-speedrun-2025-models-1",
+  "sourceVersion": "2026-10-30-agent-classification-1",
   "asOf": "2026-10-30",
   "metric": "platform-mrr-usd",
   "sampleUnit": "product-or-business",