Expand platform income samples and derive report conclusions from current data
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@@ -182,10 +182,10 @@ async function main() {
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assert.equal(researchResponse.status, 200, "authenticated research API");
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assert.ok(researchResponse.headers.get("cache-control")?.includes("no-store"));
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const research = await researchResponse.json();
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assert.equal(research.companies.length, 1047);
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assert.equal(research.companies.length, 1050);
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assert.equal(research.categories.length, 11);
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assert.equal(research.evidence.length, 1579);
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assert.equal(research.observations.length, 220);
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assert.equal(research.evidence.length, 1593);
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assert.equal(research.observations.length, 229);
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assert.equal((await request("/api/research/ai-companies", { method: "POST", headers })).status, 405);
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const researchPage = await request("/docs/other-research/ai-company-research/overview", { headers });
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assert.equal(researchPage.status, 200);
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@@ -23,9 +23,9 @@ test("research revisions share the authentication database and preserve replay l
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for (let i = 0; i < 20; i++) consumeCode(config, "invalid");
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assert.equal(consumeCode(config, "invalid"), "limited");
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const initial = readResearchSnapshot();
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assert.equal(initial.companies.length, 1047);
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assert.equal(initial.evidence.length, 1579);
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assert.equal(initial.observations.length, 220);
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assert.equal(initial.companies.length, 1050);
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assert.equal(initial.evidence.length, 1593);
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assert.equal(initial.observations.length, 229);
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assert.deepEqual(initial.candidateBatches, seed.candidateBatches, "candidate gaps persist in the same database metadata");
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assert.deepEqual(initial.directoryRechecks, seed.directoryRechecks, "follow-up classifications persist without rewriting the discovery audit");
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assert.deepEqual(readResearchSnapshot(), initial, "reopening does not duplicate records");
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@@ -64,8 +64,8 @@ test("research validation rejects broken evidence and unsafe source links", () =
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test("reviews link explicit companies without turning global or excluded cases into companies", () => {
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const snapshot = structuredClone(seed) as ResearchSnapshot;
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assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 97);
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assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 11);
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assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 100);
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assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 12);
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assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 41);
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const review = snapshot.reviews.find((r) => r.id === "R4")!;
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assert.deepEqual(reviewCompanyIds(snapshot, review), ["AI007", "AI013", "AI021", "AI034"]);
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@@ -85,10 +85,10 @@ test("reviews link explicit companies without turning global or excluded cases i
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test("disclosure counts exclude client income, biographies, targets and duplicate milestones", () => {
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const snapshot = seed as ResearchSnapshot;
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const summary = categorySummary(snapshot);
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assert.equal(summary.reduce((n, c) => n + c.count, 0), 1047);
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assert.equal(summary.reduce((n, c) => n + c.count, 0), 1050);
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assert.equal(summary.reduce((n, c) => n + c.self, 0), 38);
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assert.equal(summary.reduce((n, c) => n + c.estimate, 0), 2);
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assert.equal(summary.reduce((n, c) => n + c.platform, 0), 16);
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assert.equal(summary.reduce((n, c) => n + c.platform, 0), 19);
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assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 991);
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assert.equal(snapshot.companies.find((c) => c.name === "Rork")?.revenueStatus, "unknown");
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assert.equal(snapshot.companies.find((c) => c.name === "Result")?.revenueStatus, "unknown");
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@@ -97,7 +97,7 @@ test("disclosure counts exclude client income, biographies, targets and duplicat
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test("technical reviews keep accessible materials separate from tested capabilities", () => {
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const snapshot = structuredClone(seed) as ResearchSnapshot;
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assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 48);
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assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 50);
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assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 8);
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assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "independent-test").length, 1);
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assert.equal(snapshot.companies.find((c) => c.id === "AI051")?.revenueStatus, "unknown");
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@@ -248,14 +248,21 @@ test("income descriptions report sample dispersion and maximum-value sensitivity
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test("platform samples exclude stale data and keep ARR, estimates and collections separate", () => {
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const snapshot = seed as ResearchSnapshot;
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const recent = platformIncomeSample(snapshot, { windowDays: 7 });
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assert.equal(recent.points.length, 14);
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assert.equal(recent.excluded.length, 3);
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assert.equal(recent.points.length, 16);
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assert.equal(recent.excluded.length, 4);
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assert.ok(recent.points.every((p) => p.observation.metric === "mrr" && p.observation.selection === "platform"));
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assert.deepEqual(new Set(recent.excluded.map((p) => p.observation.company)), new Set(["AI016", "MR013", "MR014"]));
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assert.deepEqual(new Set(recent.excluded.map((p) => p.observation.company)), new Set(["AI016", "MR013", "MR014", "MR017"]));
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assert.ok(recent.points.some((p) => p.company.name === "TrackAI" && p.observation.connectionExpired), "dated recent value is not a claim of active connection");
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const older = platformIncomeSample(snapshot, { windowDays: 90 });
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assert.equal(older.points.length, 15);
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assert.equal(older.points.length, 18);
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assert.ok(older.points.some((p) => p.company.id === "AI016"));
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assert.ok(!recent.points.some((p) => p.company.id === "MR017"));
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assert.ok(older.points.some((p) => p.company.id === "MR017" && p.observation.connectionExpired),
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"an expired connection retains its historical observation date in the wider window");
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assert.equal(recent.points.find((p) => p.company.id === "MR018")?.value, 67864,
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"an older Markdown cache must not replace or duplicate the later web snapshot");
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assert.equal(recent.points.find((p) => p.company.id === "MR019")?.value, 65431,
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"period-table revenue and revenue snapshots must not replace MRR");
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const scaled = platformIncomeSample(snapshot, { windowDays: 7, annualize: true });
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const monthlyGroups = groupIncome(recent.points);
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const annualGroups = groupIncome(scaled.points);
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