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Author SHA1 Message Date
codex-bot bb75ee72f8 Add Endor object model figure source 2026-11-04 16:46:08 +08:00
codex-bot 35249e222a Add Endor rendering flow figure source 2026-11-04 16:29:54 +08:00
Zayden-Jung 45edbeae1f Merge pull request '收尾 AI 公司公开来源核对,补入遗漏批次并明确收入与身份缺项' (#47) from codex/ai-research-closeout into main
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2026-10-31 19:46:21 +00:00
codex-bot a9af14ac63 Close finite source review with explicit unresolved identity and income gaps 2026-11-01 03:42:47 +08:00
codex-bot c1f4366379 Classify consumer learning and health products with preorder and revenue-scope exclusions 2026-11-01 03:32:56 +08:00
Zayden-Jung c0d6b4a8e1 Merge pull request '分类九家 AI 公司,区分金融工作流、机器人、评估与模型训练的交付和计费' (#46) from codex/ai-research-finance into main
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2026-10-31 19:30:40 +00:00
codex-bot db70ef32da Classify robotics and evaluation infrastructure with historical-test and future-pricing limits 2026-11-01 03:24:07 +08:00
codex-bot 55b8fea7a8 Classify financial workflow AI and preserve payment-volume and current-product gaps 2026-11-01 03:18:23 +08:00
Zayden-Jung 701ef632ff Merge pull request '核对 Speedrun 七批与226档案,分类四十家公司并分离签约及非软件收入' (#45) from codex/ai-research-sr-rosters into main
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2026-10-31 19:13:52 +00:00
codex-bot b6e44625b6 Classify enterprise memory and industry workflows while excluding contracted revenue from ARR 2026-11-01 03:12:52 +08:00
codex-bot c22739d4f8 Classify legal and eldercare AI delivery with separate cost and revenue boundaries 2026-11-01 03:06:02 +08:00
codex-bot 46bff91af9 Classify three SR006 businesses and preserve rebrand and revenue ambiguities 2026-11-01 02:55:28 +08:00
codex-bot fe6b3b5951 Classify six SR006 AI businesses and separate research scores from product validation 2026-11-01 02:47:53 +08:00
codex-bot e0806362f0 Classify five SR005 businesses and distinguish physical supply from SaaS 2026-11-01 02:41:25 +08:00
codex-bot bef80fba4d Classify six SR005 AI businesses and inspect Dex official accounts 2026-11-01 02:35:01 +08:00
codex-bot 9c32f77722 Classify two SR004 businesses and preserve unresolved brand founding dates 2026-11-01 02:28:52 +08:00
codex-bot d631be2617 Audit 226 Speedrun profiles and classify six current AI businesses 2026-11-01 02:16:52 +08:00
codex-bot 51d6364ddd Register all seven public Speedrun cohorts with verifiable boundaries 2026-11-01 01:55:27 +08:00
Zayden-Jung 17e9306c97 Merge pull request '完成 SR007 名单逐项档案读取,补充二十一家公司并区分历史收入归属' (#44) from codex/ai-research-sr007-more into main
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8 changed files with 14883 additions and 33 deletions
+3 -3
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@@ -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, 1253);
assert.equal(research.companies.length, 1312);
assert.equal(research.categories.length, 11);
assert.equal(research.evidence.length, 4894);
assert.equal(research.observations.length, 491);
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);
+224 -13
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@@ -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, 1253);
assert.equal(initial.evidence.length, 4894);
assert.equal(initial.observations.length, 491);
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, 7);
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, 248);
assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 147);
assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 54);
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), 1253);
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), 1169);
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"));
@@ -229,8 +230,8 @@ 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, 244);
assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 28);
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");
assert.match(snapshot.companies.find((c) => c.id === "AI051")!.technicalReview!.testScope!, /Sep 2026/);
@@ -630,6 +631,216 @@ test("the public SR007 roster preserves unique entries and Alven's older operato
"a current category change must retain the unresolved historical product attribution");
});
test("public Speedrun cohort rosters preserve the finite boundary without inventing founding years", () => {
const snapshot = seed as ResearchSnapshot;
const rosters = snapshot.candidateBatches!.filter((batch) => /^SR00[1-7]-public-roster-2026-1$/.test(batch.id));
assert.equal(rosters.length, 7);
for (const [index, count] of [25, 25, 32, 42, 59, 59, 79].entries()) {
const batch = rosters.find((item) => item.id.startsWith(`SR${String(index + 1).padStart(3, "0")}-`))!;
assert.equal(batch.records.length, count);
assert.equal(batch.complete, false, "a complete directory page is not completed company-level research");
}
const rows = rosters.flatMap((batch) => batch.records);
assert.equal(rows.length, 321);
assert.equal(new Set(rows.map((row) => row.url)).size, 321);
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, 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, 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) =>
row.profileStatus === "readable" && row.evidenceIds?.some((id) => (id.startsWith("SRALL1-P-") || id.startsWith("SRPRO1-P-")))),
"old founding years require independent profile evidence, not cohort age");
const variants = newlyRegistered.filter((row) => row.name === "Variant");
assert.equal(variants.length, 2);
assert.equal(new Set(variants.map((row) => row.url)).size, 2, "same-name profiles must not be merged by name");
assert.equal(variants.filter((row) => row.companyId === "AI066").length, 1);
assert.ok(!snapshot.observations.some((row) => row.evidence.startsWith("SRALL1-")),
"roster discovery and outside-cohort claims do not create financial observations");
const profiles = snapshot.evidence.filter((row) => row.id.startsWith("SRPRO1-P-"));
assert.equal(profiles.length, 226);
for (const proof of profiles) {
const candidate = newlyRegistered.find((row) => row.id === proof.id.slice("SRPRO1-P-".length))!;
assert.equal(candidate.url, proof.url);
assert.ok(candidate.evidenceIds?.includes(proof.id));
}
for (const id of ["AI162", "AI163", "AI164", "AI165", "AI166", "AI167"]) {
const company = snapshot.companies.find((row) => row.id === id)!;
assert.equal(company.year, 2025);
assert.equal(company.revenueStatus, "unknown");
assert.equal(company.technicalReview!.level, "description");
}
assert.ok(!snapshot.observations.some((row) => row.evidence.startsWith("SRPRO1-")),
"future GPU capacity, free trials, customer savings and unread financial claims are not realized revenue");
});
test("Speedrun brand dates and survey benchmark scores do not create new-company revenue", () => {
const snapshot = seed as ResearchSnapshot;
const rows = snapshot.candidateBatches!.flatMap((batch) => batch.records);
for (const id of ["SR004R-C11", "SR004R-C20"]) {
const row = rows.find((item) => item.id === id)!;
assert.equal(row.status, "pending-year", "a known brand year must retain unresolved underlying entity dates");
assert.equal(row.companyId, undefined);
assert.ok(row.evidenceIds!.some((proof) => proof.startsWith("SR004F2-")));
}
for (const id of ["SR004R-C08", "SR004R-C15"]) {
assert.equal(rows.find((item) => item.id === id)!.status, "pending-ai");
}
for (const [id, category] of [["AI168", "C06"], ["AI169", "C05"]]) {
const company = snapshot.companies.find((item) => item.id === id)!;
assert.equal(company.cat, category);
assert.equal(company.revenueStatus, "unknown");
assert.equal(company.technicalReview!.level, "description");
}
assert.ok(!snapshot.observations.some((row) => row.evidence.startsWith("SR004F2-")),
"brand-deal opportunities, listed fees and survey agreement are not financial observations");
const model = snapshot.reviews.find((row) => row.id === "MODEL1-SIMULATION-PANEL")!;
assert.deepEqual(reviewCompanyIds(snapshot, model), ["AI169"]);
assert.ok(model.evidenceIds.includes("SR004F2-REHEARSALS-PRICE"));
});
test("recruiting service adoption and official balance sheets do not become ARR", () => {
const snapshot = seed as ResearchSnapshot;
for (const id of ["AI170", "AI171", "AI172", "AI173", "AI174", "AI175"]) {
const company = snapshot.companies.find((row) => row.id === id)!;
assert.equal(company.year, 2025);
assert.equal(company.revenueStatus, "unknown");
assert.equal(company.technicalReview!.level, "description");
}
const accounts = snapshot.evidence.find((row) => row.id === "SR005F3-DEX-ACCOUNTS")!;
assert.equal(accounts.companyId, "AI171");
assert.equal(new URL(accounts.url).hostname, "find-and-update.company-information.service.gov.uk");
assert.equal(accounts.publishedAt, "2026-09-08", "filing date is preserved without becoming a revenue measurement date");
assert.ok(!snapshot.observations.some((row) => row.evidence.startsWith("SR005F3-")),
"balance-sheet cash, client quotes, salaries and recruiting outcomes do not disclose revenue");
const model = snapshot.reviews.find((row) => row.id === "MODEL1-RECRUITING-SERVICE")!;
assert.deepEqual(reviewCompanyIds(snapshot, model), ["AI175", "AI171"]);
assert.ok(model.evidenceIds.includes("SR005F3-JOOBA-TERMS"));
});
test("current products preserve unresolved identity and separate trading from software revenue", () => {
const snapshot = seed as ResearchSnapshot;
const presia = snapshot.candidateBatches!.flatMap((batch) => batch.records)
.find((row) => row.id === "SR005R-C44")!;
assert.equal(presia.status, "pending-ai");
assert.equal(presia.companyId, undefined, "a reused domain does not resolve a changed business entity");
assert.ok(presia.evidenceIds!.includes("SR005F4-PRESIA-ASSET"));
for (const id of ["AI176", "AI177", "AI178", "AI179", "AI180"]) {
const company = snapshot.companies.find((row) => row.id === id)!;
assert.equal(company.revenueStatus, "unknown");
}
const syzygy = snapshot.companies.find((row) => row.id === "AI180")!;
assert.equal(syzygy.technicalReview!.level, "public-artifact");
assert.ok(syzygy.technicalReview!.evidenceIds.includes("SR005F4-SYZYGY-FILES"));
assert.ok(!snapshot.observations.some((row) => row.evidence.startsWith("SR005F4-")),
"landed prices, customer savings, model scores and listed subscriptions are not reported ARR");
const supply = snapshot.reviews.find((row) => row.id === "MODEL1-PHYSICAL-SUPPLY")!;
assert.deepEqual(reviewCompanyIds(snapshot, supply), ["AI179"]);
assert.ok(snapshot.reviews.find((row) => row.id === "MODEL1-LOCAL-CLOUD")!.companyIds!.includes("AI180"));
});
test("new founding-year reports retain beta, academic and self-reported enforcement boundaries", () => {
const snapshot = seed as ResearchSnapshot;
for (const id of ["AI181", "AI182", "AI184", "AI185", "AI186"]) {
const company = snapshot.companies.find((row) => row.id === id)!;
assert.equal(company.year, 2026);
assert.equal(company.revenueStatus, "unknown");
assert.equal(company.technicalReview!.level, "description");
}
assert.equal(snapshot.companies.find((row) => row.id === "AI183")!.year, 2025);
assert.ok(!snapshot.observations.some((row) => row.evidence.startsWith("SR006F5-")),
"trial credits, customer revenue impact, demonstration fundraises and normalized research scores are not ARR");
const research = snapshot.reviews.find((row) => row.id === "SR006F5-R-RESEARCH")!;
assert.deepEqual(reviewCompanyIds(snapshot, research), ["AI185", "AI169"]);
assert.ok(research.evidenceIds.includes("SR004F2-REHEARSALS-BENCH"));
const pricing = snapshot.reviews.find((row) => row.id === "MODEL1-MESSAGE-ENFORCEMENT")!;
assert.deepEqual(reviewCompanyIds(snapshot, pricing), ["AI186"]);
assert.ok(pricing.evidenceIds.includes("SR006F5-ZERODRIFT-TERMS"));
});
test("rebrands and ambiguous monthly receipts stay outside comparable ARR", () => {
const snapshot = seed as ResearchSnapshot;
const rows = snapshot.candidateBatches!.flatMap((batch) => batch.records);
for (const id of ["SR006R-C37", "SR006R-C54"]) {
const row = rows.find((item) => item.id === id)!;
assert.equal(row.status, "pending-year");
assert.equal(row.companyId, undefined, "brand dates must not overwrite existing legal-entity dates");
}
const idilio = rows.find((item) => item.id === "SR006R-C22")!;
assert.equal(idilio.status, "pending-ai");
assert.ok(idilio.evidenceIds!.includes("SR006F6-IDILIO-SR"));
assert.ok(!snapshot.observations.some((row) => row.evidence.startsWith("SR006F6-")),
"pipeline, retained client revenue, illustrative tax values and undated monthly receipts are not comparable ARR");
for (const id of ["AI187", "AI188", "AI189"]) {
assert.equal(snapshot.companies.find((row) => row.id === id)!.revenueStatus, "unknown");
}
const tax = snapshot.reviews.find((row) => row.id === "MODEL1-TAX-PREP")!;
assert.deepEqual(reviewCompanyIds(snapshot, tax), ["AI188"]);
assert.ok(tax.evidenceIds.includes("SR006F6-GROVE-PRICE"));
});
test("care and legal delivery preserve financial exclusions and linked cost reviews", () => {
const snapshot = seed as ResearchSnapshot;
for (const id of ["AI190", "AI191", "AI192", "AI193", "AI194", "AI195"]) {
const company = snapshot.companies.find((row) => row.id === id)!;
assert.equal(company.revenueStatus, "unknown");
assert.equal(company.technicalReview!.level, "description");
const candidate = snapshot.candidateBatches!.flatMap((batch) => batch.records)
.find((row) => row.companyId === id)!;
assert.equal(candidate.status, "linked");
assert.equal(candidate.categoryId, company.cat);
assert.ok(company.evidenceIds.every((proof) => snapshot.evidence.some((row) => row.id === proof && row.companyId === id)));
}
assert.ok(!snapshot.observations.some((row) => row.evidence.startsWith("SRCARE1-")),
"undefined annual run rate, customer savings, list prices and usage are not comparable ARR");
const hardware = snapshot.reviews.find((row) => row.id === "MODEL1-HARDWARE-LIFETIME")!;
assert.deepEqual(reviewCompanyIds(snapshot, hardware), ["AI195"]);
const clinical = snapshot.reviews.find((row) => row.id === "MODEL1-CARE-OPERATIONS")!;
assert.deepEqual(reviewCompanyIds(snapshot, clinical), ["AI191", "AI194"]);
});
test("enterprise contracts and launch-year conflicts retain their exclusions", () => {
const snapshot = structuredClone(seed) as ResearchSnapshot;
const accelerator = snapshot.candidateBatches!.flatMap((batch) => batch.records)
.find((row) => row.id === "SR006R-C01")!;
assert.equal(accelerator.status, "pending-year");
assert.equal(accelerator.companyId, undefined);
assert.ok(accelerator.evidenceIds!.includes("SRENTER1-ACCELER8-DEALROOM"));
for (const [id, value, bound] of [["HEAVI", 100000, "="], ["VERRA", 700000, "≈"]] as const) {
const contract = snapshot.observations.find((row) => row.id === `SRENTER1-O-${id}-CONTRACT`)!;
assert.equal(contract.value, value);
assert.equal(contract.bound, bound);
assert.equal(contract.selection, "excluded");
assert.equal(contract.observedAt, undefined);
assert.equal(contract.comparisonGroup, null);
assert.equal(snapshot.companies.find((row) => row.id === contract.company)!.revenueStatus, "unknown");
contract.metric = "arr";
assert.ok(!arrDisclosures(snapshot).some((row) => row.observation.id === contract.id),
"even a wrongly added ARR label must not promote an excluded contract");
assert.ok(!platformIncomeSample(snapshot, { windowDays: 90 }).points
.some((row) => row.observation.id === contract.id));
}
});
test("financial candidates need current AI evidence before they acquire company and income links", () => {
const snapshot = seed as ResearchSnapshot;
const candidates = snapshot.candidateBatches!.flatMap((batch) => batch.records);
for (const id of ["SR006R-C06", "SR006R-C16", "SR005R-C35", "SR006R-C08"]) {
const candidate = candidates.find((row) => row.id === id)!;
assert.equal(candidate.status, "pending-ai");
assert.equal(candidate.companyId, undefined);
assert.ok(candidate.evidenceIds!.some((proof) => proof.startsWith("SRFIN1-")));
}
const financial = snapshot.reviews.find((row) => row.id === "MODEL1-FINANCIAL-OPERATIONS")!;
assert.deepEqual(reviewCompanyIds(snapshot, financial), ["AI202", "AI203", "AI204"]);
assert.ok(!snapshot.observations.some((row) => row.evidence.startsWith("SRFIN1-")),
"bank size, FX processing, artist revenue, demo portfolios and benchmark scores are not vendor income");
});
test("annual launch archives exclude older companies only with evidence and reuse existing records", () => {
const snapshot = structuredClone(seed) as ResearchSnapshot;
const batch = snapshot.candidateBatches!.find((b) => b.id === "PH-2025-visible-1")!;
@@ -657,7 +868,7 @@ test("unreconciled directory financials remain source reviews instead of income
assert.ok(review.evidenceIds.includes("PH-TANA-DR"));
assert.equal(reviewCompanyIds(snapshot, review).length, 0);
assert.ok(!snapshot.observations.some((o) => o.evidence === "PH-TANA-DR"));
assert.equal(snapshot.candidateBatches!.flatMap((b) => b.records).filter((r) => r.status === "pending-year").length, 131);
assert.equal(snapshot.candidateBatches!.flatMap((b) => b.records).filter((r) => r.status === "pending-year").length, 136);
});
test("product pivots and founder histories do not become new company years or current revenue", () => {
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+1 -1
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@@ -1,5 +1,5 @@
{
"sourceVersion": "2026-11-01-sr007-followup-10",
"sourceVersion": "2026-11-01-source-closeout-1",
"asOf": "2026-11-01",
"metric": "platform-mrr-usd",
"sampleUnit": "product-or-business",
+49 -1
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@@ -4,7 +4,7 @@ from collections import Counter
import json
from pathlib import Path
import sys
from urllib.parse import urlsplit
from urllib.parse import parse_qs, urlsplit
ROOT = Path(__file__).resolve().parents[1]
DATA = json.loads((ROOT / 'content/research/ai-companies.seed.json').read_text())
@@ -49,6 +49,54 @@ def source_register():
assert roster['defaultCohort'] == 'SR007' and roster['next'] is None
assert len(batch['records']) == roster['recordCount'] == roster['reportedCount']
assert len({row['url'] for row in batch['records']}) == roster['recordCount']
if source['id'] == 'S14' and source.get('publicRosterAudits'):
audits = source['publicRosterAudits']
assert {a['cohort'] for a in audits} == {f'SR{i:03d}' for i in range(1, 8)}
assert len(audits) == 7
profile_urls = []
for audit in audits:
batch = next(b for b in DATA['candidateBatches'] if b['id'] == audit['candidateBatchId'])
query = parse_qs(urlsplit(audit['url']).query)
assert urlsplit(audit['url']).netloc == 'speedrun.a16z.com'
assert query == {'limit': ['100'], 'offset': ['0'], 'cohort': [audit['cohort']]}
assert urlsplit(audit['url']).path == '/api/companies/companyparams'
assert audit['httpStatus'] == 200 and audit['accessedAt'] <= DATA['asOf']
assert audit['next'] is None and audit['previous'] is None
assert len(batch['records']) == audit['recordCount'] == audit['reportedCount']
assert audit['uniquePublicIds'] == audit['uniqueSlugs'] == audit['recordCount']
assert len(audit['responseSha256']) == 64 and all(c in '0123456789abcdef' for c in audit['responseSha256'])
assert batch['sourceId'] == 'S14' and not batch['complete']
proof = next(e for e in DATA['evidence'] if e['id'] == audit['evidenceId'])
assert proof['url'] == audit['url'] and proof['companyId'] is None
profile_urls.extend(row['url'] for row in batch['records'])
assert len(profile_urls) == len(set(profile_urls)), 'duplicate profiles across public cohorts'
if source['id'] == 'S14' and source.get('profileAudit'):
audit = source['profileAudit']
entries = audit['records']
candidates = {row['id']: row for b in DATA['candidateBatches'] for row in b['records']}
evidence_by_id = {row['id']: row for row in DATA['evidence']}
assert len(entries) == audit['recordCount'] == audit['readable']
assert audit['failed'] == 0 and len({e['candidateId'] for e in entries}) == len(entries)
years = Counter(str(e['foundedYear']) for e in entries)
assert dict(years) == audit['yearCounts']
for entry in entries:
row = candidates[entry['candidateId']]
proof = evidence_by_id[entry['evidenceId']]
assert row['profileStatus'] == 'readable' and proof['url'] == row['url']
assert entry['evidenceId'] in row['evidenceIds']
assert isinstance(entry['foundedYear'], int) and 1800 <= entry['foundedYear'] <= int(DATA['asOf'][:4])
assert isinstance(entry['teamSize'], int) and entry['teamSize'] >= 0
assert len(entry['htmlSha256']) == 64 and all(c in '0123456789abcdef' for c in entry['htmlSha256'])
if entry['foundedYear'] not in [2025, 2026]:
assert row['status'] == 'outside-cohort' and not row.get('companyId')
assert sum(e['foundedYear'] not in [2025, 2026] for e in entries) == audit['outsideTargetYears']
assert sum(e['foundedYear'] in [2025, 2026] for e in entries) == audit['targetYearSelfReports']
assert sum(candidates[e['candidateId']]['status'] == 'linked' for e in entries) == audit['newLinkedCompanies']
assert sum(candidates[e['candidateId']]['status'] == 'pending-ai' for e in entries) == audit['pendingCurrentAIOrIdentity']
assert sum(candidates[e['candidateId']]['status'] == 'pending-year' for e in entries) == audit['pendingFoundingIdentity']
assert audit['targetYearSelfReports'] == (
audit['newLinkedCompanies'] + audit['pendingCurrentAIOrIdentity'] + audit['pendingFoundingIdentity']
), 'self-reported years must retain unresolved brand/entity dates'
if source['url']:
assert urlsplit(source['url']).scheme in {'http', 'https'} and urlsplit(source['url']).netloc
for host in source['hosts']:
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