{
  "version": "1.0.0",
  "baseline_dataset_version": "2.5.0",
  "description": "Append-only presentation and evidence-context corrections. Original dataset records remain historical snapshot context; metric values, qualifiers and entity scopes are unchanged.",
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    "version": "1.0.0",
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        "id": "handshake-reporting-context-2026-10-17",
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        "company_id": "handshake_ai",
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        "review_basis": "retained_public_evidence",
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          "metric_id": "handshake_ai.metric.major-growth_metrics-0",
          "claim_id": "handshake_ai.claim.oct14-major-financial-0"
        },
        "display_period": "April 2026 · reported",
        "context": "Dealroom reported nearly $1B in gross annualized AI revenue on 14 April 2026. An investor interview on 23 April separately reported a near-$1B AI run rate without stating gross or net basis.",
        "sources": [
          {
            "source_id": "handshake_ai.source.oct14-e0de0f3911dc",
            "claim_id": "handshake_ai.claim.oct14-major-financial-0",
            "publication_date": "2026-04-14",
            "role": "bound_gross_observation",
            "access_status": "retained_readable_page",
            "publication_date_basis": "retained_page_text"
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          {
            "source_id": "handshake_ai.source.audit-h4",
            "claim_id": "handshake_ai.claim.audit-readout",
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            "role": "separate_investor_corroboration",
            "access_status": "retained_readable_page",
            "publication_date_basis": "retained_page_text"
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        ],
        "historical_snapshot": {
          "dataset_version": "2.5.0",
          "metrics": [
            {
              "as_of": "2026-04-23",
              "basis": "Scope: Handshake AI business; Original period/date: 2026-04; Revenue/accounting basis: gross before contractor payments",
              "claim_id": "handshake_ai.claim.oct14-major-financial-0",
              "company_id": "handshake_ai",
              "currency": "USD",
              "gross_vs_net": "gross",
              "id": "handshake_ai.metric.major-growth_metrics-0",
              "kind": "annualized_revenue_run_rate",
              "label": "Nearly $1B AI gross annualized revenue",
              "observation_status": "reported",
              "preferred_for_comparison": true,
              "qualifier": "nearly",
              "reported_vs_estimated": "reported",
              "scope_detail": "ai_data",
              "segment_scope": "ai_data",
              "unit": "currency",
              "value": 1000000000
            }
          ],
          "claims": [
            {
              "as_of": "2026-04-23",
              "caveat": "Scope: Handshake AI business; Original period/date: 2026-04; Revenue/accounting basis: gross before contractor payments",
              "company_id": "handshake_ai",
              "confidence": "C",
              "confidence_reason": "Attributed public reporting or database summary; not direct issuer confirmation or an independent financial audit.",
              "date_note": "The observation date is October 14. An undated page is not assigned a synthetic publication date.",
              "evidence_label": "Attributed primary-source evidence",
              "id": "handshake_ai.claim.oct14-major-financial-0",
              "observed_on": "2026-10-14",
              "segment_scope": "ai_data",
              "self_reported": false,
              "source_ids": [
                "handshake_ai.source.oct14-e0de0f3911dc"
              ],
              "statement": "Nearly $1B AI gross annualized revenue. Scope: Handshake AI business; Original period/date: 2026-04; Revenue/accounting basis: gross before contractor payments",
              "status": "supported",
              "subject": "financial metrics"
            },
            {
              "as_of": "2026-10-12",
              "caveat": "",
              "company_id": "handshake_ai",
              "confidence": "B",
              "confidence_reason": "Researcher synthesis from cited public evidence",
              "date_note": "",
              "evidence_label": "Researcher synthesis from cited public evidence",
              "id": "handshake_ai.claim.audit-readout",
              "observed_on": "2026-10-12",
              "raw_path": "data/raw/major-audit/major-ten-corrections.json",
              "raw_pointer": "/companies/2/commercial_verdict",
              "segment_scope": "company",
              "source_ids": [
                "handshake_ai.source.audit-h1",
                "handshake_ai.source.audit-h4",
                "handshake_ai.source.audit-h5",
                "handshake_ai.source.audit-h7",
                "handshake_ai.source.audit-audit_h15"
              ],
              "statement": "Handshake has a decade-old recruiting network and institutional backing, but its AI operation is a distinct new business. The near-$1B April 2026 run-rate is an investor-published operating claim, not an audited annual revenue figure. Cleanlab adds real research capability in evaluations and data quality. The obvious advantage is access to educated specialist talent; the public gap is named AI-data buyers, segment margins and a consistent dated revenue series. Historical parent funding and valuation should remain visible without being attributed to the AI division.",
              "status": "supported",
              "subject": "editorial readout"
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            {
              "accessed_on": "2026-10-14",
              "company_id": "handshake_ai",
              "id": "handshake_ai.source.oct14-e0de0f3911dc",
              "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
              "publisher": "dealroom.co",
              "retrieval_status": "checked",
              "source_type": "database",
              "title": "Dealroom: Handshake AI revenue",
              "url": "https://dealroom.co/news/127345-handshakes-arr-crosses-1b-as-ai-training-revenue-surges/"
            },
            {
              "accessed_on": "2026-10-12",
              "company_id": "handshake_ai",
              "id": "handshake_ai.source.audit-h4",
              "notes": "Review status: reopened and reverified 2026-10-12. ",
              "published_on": "2026-04-23",
              "publisher": "www.notablecap.com",
              "retrieval_status": "checked",
              "source_type": "investor",
              "title": "AI business run-rate",
              "url": "https://www.notablecap.com/blog/garrett-lord-went-all-in-on-handshake-ai-now-its-at-nearly-1b"
            }
          ]
        },
        "reviewed_on": "2026-10-17"
      },
      {
        "id": "prolific-readout-support-2026-10-17",
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        "company_id": "prolific",
        "checked_at": null,
        "review_basis": "retained_public_evidence",
        "target": {
          "claim_id": "prolific.claim.audit-readout"
        },
        "context": "The financial figures in this readout refer to the retained CEO-post evidence linked below.",
        "access_note": "The post was not reverified for this correction. Recent reader attempts returned an error or sign-in page. The original research claim remains available.",
        "sources": [
          {
            "source_id": "prolific.source.audit-f1a6aacb51",
            "claim_id": "prolific.claim.audit-0-metric",
            "publication_date": null,
            "role": "direct_financial_support",
            "access_status": "not_refetched",
            "publication_date_basis": "not_established"
          }
        ],
        "historical_snapshot": {
          "dataset_version": "2.5.0",
          "metrics": [],
          "claims": [
            {
              "as_of": "undated",
              "caveat": "",
              "company_id": "prolific",
              "confidence": "B",
              "confidence_reason": "Reviewed public evidence",
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              "evidence_label": "Reviewed public evidence",
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              "observed_on": "2026-10-12",
              "raw_path": "data/raw/final-core/core-priority-audit.json",
              "raw_pointer": "/companies/1",
              "segment_scope": "company",
              "source_ids": [
                "prolific.source.d_pro4",
                "prolific.source.d_pro6",
                "prolific.source.d_pro1",
                "prolific.source.d_pro2",
                "prolific.source.d_pro7",
                "prolific.source.d_pro3",
                "prolific.source.d_pro12",
                "prolific.source.d_pro5",
                "prolific.source.d_pro8",
                "prolific.source.d_pro9",
                "prolific.source.d_pro10"
              ],
              "statement": "Established verified-participant platform with substantial AI-data delivery. The CEO reports $300M+ annualized revenue in spring 2026 and a $10M revenue week; these are company claims with unresolved gross-versus-net basis, not audited annual revenue. The prior profile materially understated commercial scale by omitting them.",
              "status": "supported",
              "subject": "editorial readout"
            },
            {
              "as_of": "2026-04 (inferred)",
              "caveat": "",
              "company_id": "prolific",
              "confidence": "B",
              "confidence_reason": "CEO-reported operating figures; unaudited",
              "date_note": "The page currently shows a relative age and Edited, not an absolute date. LinkedIn activity-ID timestamp decodes to 2026-05-11 17:03:50 UTC; therefore previous month is inferred April 2026. Do not present this inferred date as a printed publication date. Gross/net accounting basis is unspecified in CEO post.",
              "evidence_label": "CEO-reported operating figures; unaudited",
              "id": "prolific.claim.audit-0-metric",
              "observed_on": "2026-10-12",
              "raw_path": "data/raw/final-core/core-priority-audit.json",
              "raw_pointer": "/companies/1/metrics_to_add/0",
              "segment_scope": "company",
              "source_ids": [
                "prolific.source.audit-f1a6aacb51"
              ],
              "statement": "CEO Phelim Bradley reported that Prolific had crossed $300M annualized revenue in the previous month and completed a $10M revenue week. He separately projected $500M annualized revenue by end-May and said cumulative participant payouts exceeded $500M. The target is a forecast; payouts are neither revenue nor funding.",
              "status": "supported",
              "subject": "growth metrics"
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          "sources": [
            {
              "accessed_on": "2026-10-12",
              "company_id": "prolific",
              "id": "prolific.source.audit-f1a6aacb51",
              "publisher": "www.linkedin.com",
              "retrieval_status": "checked",
              "source_type": "company",
              "title": "CEO-reported operating figures; unaudited",
              "url": "https://www.linkedin.com/posts/phelim-bradley-84300826_prolific-just-finished-a-10m-revenue-week-activity-7459649483899891713-2DAA"
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        },
        "reviewed_on": "2026-10-17"
      },
      {
        "id": "mercor-gross-basis-support-2026-10-17",
        "kind": "financial-basis-source-supplement",
        "company_id": "mercor",
        "reviewed_on": "2026-10-17",
        "checked_at": null,
        "review_basis": "retained_public_evidence",
        "target": {
          "metric_id": "mercor.metric.oct14-major-financial-2",
          "claim_id": "mercor.claim.oct14-major-financial-2"
        },
        "display_basis": "gross (Sacra estimate)",
        "display_attribution": "Felicis reports the pace; Sacra estimates the gross basis.",
        "context": "Felicis published Mercor’s statement that annualized revenue reached $2B by June 2026, without defining gross or net basis. Sacra separately estimates $2B of annualized gross revenue in June and defines gross as customer spend before contractor payouts. The June pace is not full-year revenue.",
        "sources": [
          {
            "source_id": "mercor.source.oct14-88dab2271689",
            "claim_id": "mercor.claim.oct14-major-financial-2",
            "publication_date": "2026-07-21",
            "publication_date_basis": "retained_page_text",
            "role": "bound_investor_run_rate",
            "access_status": "retained_readable_page"
          },
          {
            "source_id": "mercor.source.audit-m6",
            "claim_id": "mercor.claim.major-growth_metrics-0",
            "publication_date": null,
            "publication_date_basis": "not_established",
            "role": "secondary_gross_basis_estimate",
            "access_status": "retained_readable_page"
          }
        ],
        "historical_snapshot": {
          "dataset_version": "2.5.0",
          "metrics": [
            {
              "as_of": "2026-06",
              "basis": "Gross basis corroborated at https://sacra.com/c/mercor/ . Not net revenue or FY revenue.; Scope: company; Original period/date: 2026-06; Revenue/accounting basis: gross, per Sacra corroboration",
              "claim_id": "mercor.claim.oct14-major-financial-2",
              "company_id": "mercor",
              "currency": "USD",
              "gross_vs_net": "gross",
              "id": "mercor.metric.oct14-major-financial-2",
              "kind": "annualized_revenue_run_rate",
              "label": "$2B annualized gross revenue",
              "observation_status": "reported",
              "qualifier": "exact",
              "reported_vs_estimated": "reported",
              "segment_scope": "company",
              "unit": "currency",
              "value": 2000000000
            }
          ],
          "claims": [
            {
              "as_of": "2026-06",
              "caveat": "Gross basis corroborated at https://sacra.com/c/mercor/ . Not net revenue or FY revenue.; Scope: company; Original period/date: 2026-06; Revenue/accounting basis: gross, per Sacra corroboration",
              "company_id": "mercor",
              "confidence": "B",
              "confidence_reason": "Attributed primary-source statement reviewed in the October 14 research pass; not independently audited.",
              "date_note": "The observation date is October 14. An undated page is not assigned a synthetic publication date.",
              "evidence_label": "Investor-reported",
              "id": "mercor.claim.oct14-major-financial-2",
              "observed_on": "2026-10-14",
              "segment_scope": "company",
              "self_reported": false,
              "source_ids": [
                "mercor.source.oct14-88dab2271689"
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              "statement": "$2B annualized gross revenue. Gross basis corroborated at https://sacra.com/c/mercor/ . Not net revenue or FY revenue.; Scope: company; Original period/date: 2026-06; Revenue/accounting basis: gross, per Sacra corroboration",
              "status": "supported",
              "subject": "financial metrics"
            },
            {
              "as_of": "2026-06",
              "caveat": "",
              "company_id": "mercor",
              "confidence": "C",
              "confidence_reason": "independent estimate corroborated by investor published company claim",
              "date_note": "",
              "evidence_label": "independent estimate corroborated by investor published company claim",
              "id": "mercor.claim.major-growth_metrics-0",
              "observed_on": "2026-10-12",
              "raw_path": "data/raw/major-audit/major-ten-corrections.json",
              "raw_pointer": "/companies/0/growth_metrics/0",
              "segment_scope": "ai_data",
              "source_ids": [
                "mercor.source.audit-m6",
                "mercor.source.audit-audit_m18"
              ],
              "statement": "Annualized gross revenue run rate: 2,000,000,000 USD. Period: 2026-06.",
              "status": "supported",
              "subject": "growth metrics"
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          ],
          "sources": [
            {
              "accessed_on": "2026-10-14",
              "company_id": "mercor",
              "id": "mercor.source.oct14-88dab2271689",
              "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
              "publisher": "www.felicis.com",
              "retrieval_status": "checked",
              "source_type": "investor",
              "title": "Felicis investor profile",
              "url": "https://www.felicis.com/blog/mercor-profile-organizing-human-intelligence-to-power-the-ai-economy"
            },
            {
              "accessed_on": "2026-10-12",
              "company_id": "mercor",
              "id": "mercor.source.audit-m6",
              "notes": "Review status: reopened and reverified 2026-10-12. ",
              "publisher": "sacra.com",
              "retrieval_status": "checked",
              "source_type": "independent_reporting",
              "title": "Mercor financial profile",
              "url": "https://sacra.com/c/mercor/"
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      },
      {
        "id": "terac-dialogue-assessment-scope-2026-10-17",
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        "company_id": "terac",
        "reviewed_on": "2026-10-17",
        "checked_at": null,
        "review_basis": "retained_public_evidence",
        "target": {
          "claim_id": "terac.claim.customers-0",
          "customer_record_id": "terac.customer.0",
          "assessment_id": "terac.assessment.ai_data"
        },
        "affected_claim_ids": [
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          "terac.claim.assessment-evidence-p",
          "terac.claim.assessment-evidence-c",
          "terac.claim.assessment-evidence-r"
        ],
        "display_scope": "Market research",
        "context": "Dialogue’s case describes participant recruitment for market research. AI-assisted screening does not make that engagement evidence of AI training or evaluation work.",
        "relationship_context": "The named Dialogue case covers participant recruitment for market research.",
        "assessment_context": "The original Demonstrated delivery assessment is retained. Separate Spade testimony describes delivered expert annotation; Dialogue’s market-research engagement is not AI-data delivery. The cited payout forecast does not establish a completed paid AI-data project or repeat business.",
        "criterion_context": {
          "P": "Dialogue is a market-research engagement. The separately cited June 2026 API article describes a dated expert-labor workflow for AI work.",
          "C": "Dialogue is a market-research engagement. Separate Spade CTO testimony on Terac’s about page describes delivered annotation of cattle video and sensor data. Terac publishes that testimony; it is not independent buyer corroboration.",
          "R": "Dialogue is a market-research engagement. The August 2026 source forecasts expert payouts; it does not establish a completed paid AI-data project or repeat business."
        },
        "sources": [
          {
            "source_id": "terac.source.terac-4",
            "claim_id": "terac.claim.customers-0",
            "publication_date": "2026-05-31",
            "publication_date_basis": "retained_page_text",
            "role": "market_research_engagement",
            "access_status": "retained_readable_page"
          },
          {
            "source_id": "terac.source.terac-1",
            "claim_id": "terac.claim.assessment-evidence-c",
            "publication_date": null,
            "publication_date_basis": "not_established",
            "role": "separate_annotation_testimony",
            "access_status": "retained_readable_page"
          },
          {
            "source_id": "terac.source.terac-2",
            "claim_id": "terac.claim.assessment-evidence-p",
            "publication_date": "2026-06-18",
            "publication_date_basis": "retained_page_text",
            "role": "dated_ai_workflow",
            "access_status": "retained_readable_page"
          },
          {
            "source_id": "terac.source.terac-7",
            "claim_id": "terac.claim.assessment-evidence-r",
            "publication_date": "2026-08-12",
            "publication_date_basis": "retained_page_text",
            "role": "expert_payout_forecast",
            "access_status": "retained_readable_page"
          }
        ],
        "historical_snapshot": {
          "dataset_version": "2.5.0",
          "metrics": [],
          "claims": [
            {
              "as_of": "2026-05-31",
              "company_id": "terac",
              "confidence": "B",
              "confidence_reason": "Attributed company, investor, or named primary statement. Research label: researcher-assigned evidence grade.",
              "date_note": "Date label preserved from research; access dates are not substituted.",
              "id": "terac.claim.customers-0",
              "observed_on": "2026-10-12",
              "raw_path": "data/raw/library-v1/market-research-v1.json",
              "raw_pointer": "/companies/25/customers/0",
              "segment_scope": "ai_data",
              "self_reported": true,
              "source_ids": [
                "terac.source.terac-4"
              ],
              "statement": "Supplier-published Dialogue case study says it recruited 25 startup-founder participants in under four days. Supports a specific engagement, not disclosed contract value.",
              "status": "supported",
              "subject": "customers"
            },
            {
              "as_of": "2026-10-12",
              "company_id": "terac",
              "confidence": "B",
              "confidence_reason": "Attributed company, investor, or named primary statement. Research label: researcher-assigned evidence grade.",
              "date_note": "Date label preserved from research; access dates are not substituted.",
              "id": "terac.claim.assessment-evidence-p",
              "observed_on": "2026-10-12",
              "raw_path": "data/raw/library-v1/market-research-v1.json",
              "raw_pointer": "/companies/25/assessment/evidence/P",
              "segment_scope": "ai_data",
              "source_ids": [
                "terac.source.terac-2",
                "terac.source.terac-4"
              ],
              "statement": "Concrete expert-recruitment, screening and delivery workflow, dated 2026 API/program activity.",
              "status": "supported",
              "subject": "ai data gate P"
            },
            {
              "as_of": "2026-10-12",
              "company_id": "terac",
              "confidence": "B",
              "confidence_reason": "Attributed company, investor, or named primary statement. Research label: researcher-assigned evidence grade.",
              "date_note": "Date label preserved from research; access dates are not substituted.",
              "id": "terac.claim.assessment-evidence-c",
              "observed_on": "2026-10-12",
              "raw_path": "data/raw/library-v1/market-research-v1.json",
              "raw_pointer": "/companies/25/assessment/evidence/C",
              "segment_scope": "ai_data",
              "source_ids": [
                "terac.source.terac-4",
                "terac.source.terac-1"
              ],
              "statement": "Detailed named Dialogue deployment; attributed Maze/Spade/Vetto testimonials corroborate supplier account only.",
              "status": "supported",
              "subject": "ai data gate C"
            },
            {
              "as_of": "2026-10-12",
              "company_id": "terac",
              "confidence": "B",
              "confidence_reason": "Attributed company, investor, or named primary statement. Research label: researcher-assigned evidence grade.",
              "date_note": "Date label preserved from research; access dates are not substituted.",
              "id": "terac.claim.assessment-evidence-r",
              "observed_on": "2026-10-12",
              "raw_path": "data/raw/library-v1/market-research-v1.json",
              "raw_pointer": "/companies/25/assessment/evidence/R",
              "segment_scope": "ai_data",
              "source_ids": [
                "terac.source.terac-4",
                "terac.source.terac-7"
              ],
              "statement": "Dated completed Dialogue delivery and explicit expert payouts. No R2-qualified time series or renewal.",
              "status": "supported",
              "subject": "ai data gate R"
            }
          ],
          "sources": [
            {
              "accessed_on": "2026-10-12",
              "company_id": "terac",
              "id": "terac.source.terac-4",
              "notes": "supplier_customer_case_study",
              "published_on": "2026-05-31",
              "publisher": "Terac",
              "retrieval_status": "checked",
              "source_type": "company",
              "title": "How Dialogue sourced 25 startup founders in under 4 days",
              "url": "https://terac.com/customers/dialogue-startup-founders"
            },
            {
              "accessed_on": "2026-10-12",
              "company_id": "terac",
              "id": "terac.source.terac-1",
              "notes": "company_primary Selected primary page rechecked October 15, 2026; redirects retain their historical source URL. Current HackerRank brand is Bench; current Invisible page identifies Francis as founder. Undated operating claims retain undated labels.",
              "publisher": "Terac",
              "retrieval_status": "checked",
              "source_type": "company",
              "title": "About: Efficiently Allocating the World’s Labor",
              "url": "https://terac.com/about"
            },
            {
              "accessed_on": "2026-10-12",
              "company_id": "terac",
              "id": "terac.source.terac-2",
              "notes": "company_primary",
              "published_on": "2026-06-18",
              "publisher": "Terac",
              "retrieval_status": "checked",
              "source_type": "company",
              "title": "Terac x Berkeley AI: Our Hackathon Challenge",
              "url": "https://terac.com/blog/terac-x-berkeley-ai-hackathon"
            },
            {
              "accessed_on": "2026-10-12",
              "company_id": "terac",
              "id": "terac.source.terac-7",
              "notes": "company_primary",
              "published_on": "2026-08-12",
              "publisher": "Terac",
              "retrieval_status": "checked",
              "source_type": "company",
              "title": "The World’s First Zero Human Company Hackathon",
              "url": "https://terac.com/blog/zero-human-company-hackathon"
            }
          ],
          "assessments": [
            {
              "as_of": "2026-10-12",
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