Life Insurance
Consensus Index

AI Consensus Fit Review

Pacific Life Insurance Fit Review for High-Risk Occupations

Pacific Life is a mixed fit for life insurance in high-risk occupations.

Research: 2026-09-227 usable platform responsesRead the methodology ↗

Share

Answer Capsule

Pacific Life is a mixed fit for life insurance in high-risk occupations. Three of seven platforms named it during the ranking stage (43% of included platform responses), at an average listed rank of 6.0 and a best rank of 4. The strongest reason to consider it is PL Promise Term's multiple underwriting pathways — accelerated, modified, and traditional — plus conversion to universal life without new underwriting during the level-premium period. The main limitation is that no reviewed public source verifies occupation-specific pricing, flat-extra tables, or acceptance outcomes for commercial fishing, logging, mining, offshore work, or hazardous construction. Treat any quote as underwriting-dependent and compare it against carriers with documented hazardous-occupation experience.

Research Snapshot

FieldFinding
Platform mentions in ranking stage3 of 7 platforms (deepseek, openai, perplexity)
Share of included platform responses42.9%
Average listed rank6.0
Best listed rank4 (openai)
Relevant product/model/planPL Promise Term, using traditional or modified underwriting when PAL+ accelerated underwriting is not appropriate; Pacific Life term and universal life products
Overall use-case fitMixed
Research date2026-09-22

Why Pacific Life Qualified for This Study

Questions This Section Answers

  • Is Pacific Life a good choice for life insurance for high-risk occupations like commercial fishing or mining?
  • Why did only three of seven AI platforms name Pacific Life for high-risk occupation life insurance?

Pacific Life qualified because three of the seven included platforms named it during ranking discovery, clearing the two-mention threshold for this study. It was not a unanimous pick: four platforms evaluated the carrier without listing it in the ranking stage, and its 42.9% share of included platform responses reflects that partial support.

The carrier's qualification rests on product structure rather than demonstrated occupational expertise. Pacific Life offers term and universal life products sold to individual consumers [1], and its PL Promise Term product supports accelerated, modified, and traditional underwriting pathways [2]. That structure gives a hazardous-occupation applicant a route to individualized review instead of an automatic accelerated-underwriting outcome.

Platform fit ratings split: anthropic and google rated Pacific Life a "good" fit, while deepseek, grok, openai, and perplexity rated it "mixed" and kimi rated it "uncertain." No platform rated it a poor fit, but no platform produced verified occupation-specific pricing either. The ranking placement should be read as a signal to obtain a quote, not as evidence of favorable underwriting treatment.

The Product, Model, Plan, or Service Most Relevant to Life Insurance for High-Risk Occupations

Questions This Section Answers

  • Which Pacific Life plan should a buyer in a hazardous occupation apply for, PL Promise Term or Premier Term?
  • Does Pacific Life PL Promise Term accept high-risk occupations through modified or traditional underwriting?

PL Promise Term is the most directly relevant Pacific Life product for this use case. It offers level premiums for 10, 15, 20, 25, or 30 years with a stated minimum death benefit of $50,000 [4], and independent summaries describe the same term structure [5]. Pacific Elite Term is a second term option with 10-, 20-, and 30-year level-premium periods [6].

The underwriting architecture matters more than the term length for this buyer. Pacific Life describes PAL+ accelerated underwriting for up to $3 million of PL Promise Term coverage for ages 18–60 at Standard or better risk classes, with no medical exam or APS in that path; the modified path requires a physical exam and labs within the prior 12 months and is available up to $3 million for ages 18–70 [8]. A third-party summary describes the same three-pathway routing [9], and a producer-use guide describes accelerated, modified, and traditional pathways [10].

Hazardous occupation status explicitly pushes a case out of the accelerated path. One producer checklist states that a hazardous-occupation answer triggers full underwriting rather than the accelerated pathway [11]. Pacific Life's underwriting disclosure states that occupation and hazardous avocations are considered in determining insurability and premium [12].

Conversion is the other structural feature. PL Promise Term can be converted to PL Promise Conversion UL during the level-premium period, generally up to age 70, without additional underwriting approval, and the converted policy receives an equivalent risk class [13]. Perplexity's review of PL Promise Term materials describes the same conversion right, subject to policy terms [14], and an independent review states conversion is available anytime during the level-premium period without underwriting [15].

What the AI Platforms Agreed About

Questions This Section Answers

  • Do AI platforms agree that Pacific Life handles hazardous-occupation underwriting well?
  • What do reviewers agree Pacific Life PL Promise Term offers a high-risk worker?

Platforms agreed on structure and disagreed on occupational competitiveness. The clearest points of agreement:

  • Multiple underwriting pathways exist. OpenAI, perplexity, anthropic, grok, google, and kimi all describe accelerated, modified, and/or traditional underwriting routes for PL Promise Term [16].
  • Hazardous occupations do not qualify for the fastest path. Anthropic's source states hazardous occupation triggers full underwriting [22]; google's source states high-risk occupations are automatically excluded from the fully accelerated no-exam path [20].
  • Conversion without new underwriting is available. OpenAI, perplexity, anthropic, and google all describe conversion to a Pacific Life universal life policy during the level-premium period without additional underwriting approval [23].
  • Financial strength is not in dispute. Independent reviews cite AM Best A+ (Superior) and S&P Global AA- (Very Strong) ratings [27], and Pacific Life's own site presents itself as a large, long-established insurer citing independent ratings [29].
  • No published occupational rate schedule exists. OpenAI, anthropic, deepseek, perplexity, and kimi each state that occupation-specific pricing, flat-extra tables, or exclusion matrices for the named hazardous professions were not located in public materials [30].

Agreement on product mechanics is not evidence of competitive pricing for a hazardous occupation. Every platform that addressed pricing for this use case rated its pricing confidence low or moderate.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Is Pacific Life actually lenient with high-risk occupations, or is that claim unverified?
  • How much extra does Pacific Life charge in flat extras for jobs like logging or commercial fishing?

The sharpest disagreement concerns occupational leniency. Anthropic's response states Pacific Life is documented as "extremely lenient" with high-risk hobbies and occupations, citing broker review sites [34], and grok cites the same review for leniency on recreational scuba, private pilots, and military service [35]. Google's response goes further, stating that highly hazardous professions like commercial fishing, logging, or mining are typically assessed with flat-extra fees rather than blanket declines [36].

Other platforms treat those claims as unverified. Kimi states that no independent evidence confirms Pacific Life has specialized underwriting appetite, flat-extra pricing structures, or dedicated programs for hazardous occupations, and that the ranking-stage recommendation appears unverified by independent occupational specialists [37]. Perplexity states that public sources do not verify any special occupational-risk program or occupation-specific underwriting treatment [38]. OpenAI notes that Pacific Life's competitive-pricing statements are company claims or illustrative comparisons, not independent evidence of high-risk-occupation pricing [39].

Flat-extra amounts are the second unresolved point. Google's response cites a typical range of $2 to $5 per $1,000 of face value for hazardous jobs [36], while kimi cites a market range of $2.50 to $7.50 per $1,000 for high-risk occupations [40]. Neither figure is attributed to a Pacific Life rate table. Grok states flat extras apply as needed with no public rate tables for specific high-risk jobs [41].

Two further uncertainties recur. First, no reviewed source states whether Pacific Life applies occupational exclusions to work-related deaths; kimi notes that standard life insurance generally covers work-related deaths without exclusion, with suicide during contestability as the primary exclusion, but that some policies may contain hidden exclusions for specific environments like offshore rigs [42]. Second, no source confirms whether Pacific Life underwrites hazardous occupations directly or through reinsurance arrangements [37].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • What coverage amounts and term lengths does Pacific Life PL Promise Term offer a high-risk occupation applicant?
  • Can a Pacific Life PL Promise Term policy be converted later if a buyer leaves a hazardous job?

Coverage capacity and term flexibility are the strongest documented features for this use case. PL Promise Term offers 10-, 15-, 20-, 25-, or 30-year level-premium periods with a stated minimum death benefit of $50,000 [44]. Public PL Promise Term materials indicate eligibility up to age 70 and coverage up to $3 million for the streamlined pathway described in one brochure [45]. Independent summaries place maximum issue age by risk class, up to 80 for Super Preferred [47].

Underwriting routing is the second capability. Pacific Life states applications are subject to underwriting and approval [48], and a third-party summary describes routing applicants through the least invasive method possible [49]. For a hazardous-occupation applicant, that means the case generally moves to modified or traditional underwriting with an occupational questionnaire and possibly an exam [50].

Conversion flexibility is the third. Conversion to PL Promise Conversion UL is available during the level-premium period, generally up to age 70, without additional underwriting approval, with an equivalent risk class on the converted policy [51]. Conversion product availability and terms can vary by state [51].

Two capability limits deserve equal weight. Level premiums apply only for the selected term period, and Pacific Life's own materials warn that a term policy may not provide coverage once the term ends [52]. Product availability and features also vary by state and distribution firm; Pacific Life states it is licensed to issue insurance in all states except New York on the cited underwriting page, but the applicable product, form, and riders must be confirmed for the buyer's state [48].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Pacific Life PL Promise Term cost per month for a high-risk occupation applicant?
  • What fees and charges apply to a Pacific Life PL Promise Term policy beyond the base premium?

No public occupation-specific premium schedule was located. OpenAI, deepseek, perplexity, and kimi each report that Pacific Life does not publish rates for hazardous occupations, and that premiums depend on age, coverage amount, term, tobacco status, medical underwriting, occupational duties, and final risk class [53]. Pricing confidence was rated low by openai, deepseek, perplexity, grok, and kimi, and moderate by anthropic.

The published figures that do exist are not occupation-specific. Pacific Life's own article cites a 20-year, $250,000 Promise Term policy at approximately $153 per year at age 25 and $325 per year at age 45 for a healthy nonsmoker [57]. Independent reviews cite term rates 4% to 20% below national average [58] and an average annual premium of $280 versus an industry average of $382 [59]. Google's response cites a $60 annual policy fee for PL Promise Term and modal payment factors of 0.51 semiannual, 0.26 quarterly, and 0.085 monthly EFT [60]. These are platform-reported figures from the cited sources, not verified quotes for a hazardous occupation.

Substandard pricing is the one area with a specific company figure. Google's response cites Pacific Life substandard risk pricing at a 20% premium increase per table versus an industry-standard 25% per table [61]. That differential, if accurate, would reduce the cost of a table rating — but it does not address flat extras, which are the more common occupational charge.

Contract terms carry several open items. Conversion is subject to the product's stated conversion period, available conversion products, state rules, and policy provisions; premiums may increase after the level-premium period; and free-look, lapse, reinstatement, and cancellation provisions should be confirmed in the issued policy [53]. Perplexity's review states that public sources did not verify surrender charges, lapse rules, grace periods, or cancellation penalties for this buyer profile [55].

Best Suited For

Questions This Section Answers

  • Who is Pacific Life PL Promise Term actually a good fit for among high-risk occupation buyers?
  • Is Pacific Life a good option for a high-risk worker who wants conversion flexibility later?

Pacific Life is best suited to hazardous-occupation applicants who can document their occupational risk fully and who value conversion flexibility over the lowest possible starting premium. OpenAI's assessment lists applicants seeking conventional term coverage with 10- to 30-year level-premium periods, applicants whose occupational risk can be fully documented for traditional or modified underwriting, and applicants who value future conversion without new underwriting [62].

Google's assessment adds specific occupation categories where Pacific Life's guidelines are documented as favorable: commercial airline pilots who can qualify for Preferred Best without a flat extra, private pilots aged 20–70 flying 26–150 hours annually with an instrument flight rating who can qualify for Preferred classes without flat extras, and active-duty military personnel, with ratings applied only for specific highly hazardous duties such as demolition work [64]. Those findings come from platform-reported underwriting guide summaries and should be confirmed with a broker.

Deepseek frames the same fit more conservatively: hazardous-occupation applicants willing to complete full traditional underwriting, buyers wanting a large financially strong carrier for a standard term or permanent policy, and applicants whose occupational risk is offset by otherwise favorable health, age, and financial underwriting [68].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Pacific Life for life insurance in a hazardous occupation?
  • Is Pacific Life a bad choice for a commercial fisherman or offshore worker who needs guaranteed acceptance?

Buyers who need published occupational pricing, guaranteed acceptance, or a carrier that publicly markets to dangerous occupations should look elsewhere. OpenAI's assessment lists applicants seeking publicly documented special pricing or guaranteed acceptance for hazardous occupations, applicants whose duties are unusually hazardous and who need a carrier with clearly published occupation-specific underwriting rules, and applicants who need coverage outside Pacific Life's state availability or underwriting limits [70].

Anthropic's assessment adds applicants needing specialized maritime or commercial fishing expertise, workers in extremely high-risk occupations such as deep-sea fishing, hazmat mining, or high-altitude work who may face denials or significant exclusions without specialist carrier involvement, and buyers who need transparent published occupational rate schedules [72].

Kimi's assessment is the most restrictive: buyers in very high-risk occupations such as commercial diver, logger, or offshore oil worker needing confirmed competitive flat-extra rates, applicants requiring guaranteed issue or no-exam options due to occupational risk, and consumers who have not compared against carriers with documented high-risk occupation expertise [74].

Two process limitations apply across all of these. Pacific Life does not offer online quotes or direct consumer applications; quotes and applications must go through independent financial professionals [76]. And underwriting guides are marked for financial professional or producer use only, not for public distribution [73].

When Another Option May Be Better

Questions This Section Answers

  • When is a different carrier a better choice than Pacific Life for a high-risk occupation applicant?
  • What should a buyer do if Pacific Life declines or rates their hazardous occupation prohibitively?

Another carrier may be better in four recurring situations. First, when another carrier or an independent broker can document more favorable underwriting treatment for the applicant's exact duties, work environment, travel, protective equipment, or hazardous activities [79]. Second, when the buyer needs guaranteed-issue or simplified-issue coverage because traditional underwriting is likely to produce a decline or unaffordable rating [79]. Third, when the buyer needs permanent coverage from inception rather than term coverage with a later conversion decision [79]. Fourth, when the work involves unusually severe or difficult-to-classify exposure and a specialist high-risk broker can obtain more carrier comparisons [79].

Kimi's assessment adds a structural point: carrier selection is the single largest variable for high-risk occupation outcomes, with experienced carriers offering calibrated pricing and inexperienced carriers producing declines or conservative ratings [81]. That framing does not identify which carrier is better than Pacific Life for a given occupation — it identifies the comparison itself as the decisive step.

Grok's assessment states Pacific Life is viable via PL Promise Term with flat extras but not distinctly competitive for core high-risk occupations based on available evidence [82]. Perplexity's assessment recommends comparing against carriers that explicitly specialize in hazardous occupations before relying on Pacific Life [83].

Questions to Verify Before Buying

These questions consolidate the verification items the platforms flagged. They are not answered by the reviewed sources.

  • For the buyer's exact job title and duties, will Pacific Life offer preferred, standard, table-rated, restricted, postponed, or declined coverage [84]?
  • How are offshore work, commercial fishing vessel size and time at sea, logging equipment, mining location, height exposure, explosives, confined spaces, travel, and safety procedures evaluated [84]?
  • Does the proposed case qualify for PAL+, modified underwriting, or only full traditional underwriting [85]?
  • Will the policy contain any occupational, aviation, travel, or hazardous-avocation exclusion or limitation [84]?
  • What is the exact flat extra or table rating for the buyer's occupational duties, and what percentage of time is spent in hazardous activities [88]?
  • What are the exact premiums and risk class for the desired face amount and term, and how do they compare with at least three other carriers underwriting the same occupation [84]?
  • What happens to the premium and available coverage after the level-premium period [90]?
  • What conversion products are available in the buyer's state, through what date or age, and are there limits on amount or partial conversion [91]?
  • Which riders are available, what do they cost, and are they subject to separate underwriting or occupation-related restrictions [93]?
  • What are the policy's grace-period, lapse, reinstatement, free-look, and cancellation provisions [93]?
  • Is the agent or broker comparing Pacific Life with carriers that have explicit experience underwriting the buyer's occupation [84]?
  • Does Pacific Life underwrite the buyer's specific occupation directly, or refer it to reinsurance [88]?

Final AI Consensus Verdict

Mixed fit. Pacific Life is worth obtaining an occupation-specific quote from, particularly for PL Promise Term using traditional or modified underwriting and for buyers who value conversion flexibility without new underwriting. It should not be treated as a confirmed best choice for high-risk occupations, because the reviewed public record does not verify favorable treatment, pricing, or acceptance outcomes for commercial fishing, logging, mining, offshore work, or hazardous construction.

The consensus position across platforms is that Pacific Life's structural features are real and its occupational competitiveness is unproven. Three platforms named it in ranking; four rated the fit mixed, one rated it uncertain, and two rated it good. No platform produced a verified hazardous-occupation premium. An independent broker should compare the exact occupational duties across multiple carriers before purchase.

How This Review Was Produced

This review synthesizes fit-research responses from seven AI platforms — anthropic, deepseek, google, grok, kimi, openai, and perplexity — each of which evaluated Pacific Life against the use case "Life Insurance for High-Risk Occupations." Three of the seven named Pacific Life during the ranking stage: deepseek (rank 5), openai (rank 4), and perplexity (rank 9). The remaining four platforms evaluated the carrier without listing it in the ranking stage.

Platform fit ratings were: anthropic good, google good, deepseek mixed, grok mixed, openai mixed, perplexity mixed, and kimi uncertain. All platform responses are labeled platform-reported and were not independently verified. Citations in this article point to the sources each platform supplied; those URLs were collected from platform responses and were not independently validated.

The study research date is 2026-09-22. Platform-reported research dates differ: deepseek reported 2026-01-15, while anthropic, google, grok, kimi, openai, and perplexity reported 2026-09-23. Deepseek's response was produced without search enabled, so its claims rest on model knowledge rather than retrieved sources.

Methodology Limitations

Several limitations constrain the conclusions in this review.

  • No public occupation-by-occupation underwriting guide was located for commercial fishing, logging, mining, offshore work, or hazardous construction [95].
  • PAL+ accelerated underwriting is limited by age, amount, risk-class, application-channel, and underwriting requirements, and should not be assumed available to a high-risk worker [100].
  • A high-risk occupation may result in a rating, higher premium, modified offer, exclusion, postponement, or decline; the reviewed sources do not quantify those outcomes [95].
  • Published competitive-rate examples concern selected preferred applicants and are not evidence of competitiveness for hazardous occupations [102].
  • Product forms, riders, conversion rights, and availability vary by state and distribution firm [100].
  • Platform-reported research dates differ from the authoritative run date of 2026-09-22; deepseek's response predates the run by roughly eight months and was produced without search.
  • One official-site retrieval for Pacific Life's individual life page returned partial content and was marked retrieved-not-verified; no failed fetch was used as a verified domain key.
  • Marketing claims that Pacific Life is "extremely lenient" with high-risk occupations come from broker review sites and third-party analyses, not from Pacific Life's own published materials [104].
  • No evidence was found that Pacific Life explicitly excludes work-related deaths for high-risk occupations, and no evidence confirms it does not; the company's specific approach is undisclosed [106].
  • Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts.

Sources

Company-Owned Sources

Independent Sources

Other Sources

  • Pacific Life Insurance Company Underwriting Disclosure Notice: https://www.sec.gov/Archives/edgar/data/832908/000089256908000513/a38637exv99wx5y.htm
  • Additional AI research evidence106 records
    1. AI research evidence record deepseek:c1
    2. AI research evidence record openai:c3
    3. AI research evidence record perplexity:c1
    4. AI research evidence record openai:c2
    5. AI research evidence record anthropic:3-12
    6. AI research evidence record openai:c1
    7. AI research evidence record perplexity:c2
    8. AI research evidence record openai:c3
    9. AI research evidence record perplexity:c5
    10. AI research evidence record anthropic:28-1
    11. AI research evidence record anthropic:29-2
    12. AI research evidence record openai:c4
    13. AI research evidence record openai:c5
    14. AI research evidence record perplexity:c9
    15. AI research evidence record anthropic:3-14
    16. AI research evidence record openai:c3
    17. AI research evidence record perplexity:c1
    18. AI research evidence record anthropic:28-1
    19. AI research evidence record grok:10
    20. AI research evidence record google:1.1.4
    21. AI research evidence record kimi:diversifiedquotes-1
    22. AI research evidence record anthropic:29-2
    23. AI research evidence record openai:c5
    24. AI research evidence record perplexity:c9
    25. AI research evidence record anthropic:3-14
    26. AI research evidence record google:1.3.9
    27. AI research evidence record anthropic:20-8
    28. AI research evidence record anthropic:21-17
    29. AI research evidence record deepseek:c2
    30. AI research evidence record openai:c4
    31. AI research evidence record anthropic:28-6
    32. AI research evidence record deepseek:c1
    33. AI research evidence record perplexity:c4
    34. AI research evidence record anthropic:2-7
    35. AI research evidence record grok:3
    36. AI research evidence record google:2.1.8
    37. AI research evidence record kimi:diversifiedquotes-1
    38. AI research evidence record perplexity:c4
    39. AI research evidence record openai:c6
    40. AI research evidence record kimi:trustmypolicy-2
    41. AI research evidence record grok:1
    42. AI research evidence record kimi:shieldpath-5
    43. AI research evidence record kimi:trinityinsurance-6
    44. AI research evidence record openai:c2
    45. AI research evidence record perplexity:c3
    46. AI research evidence record perplexity:c8
    47. AI research evidence record anthropic:14-5
    48. AI research evidence record openai:c3
    49. AI research evidence record perplexity:c5
    50. AI research evidence record deepseek:c1
    51. AI research evidence record openai:c5
    52. AI research evidence record openai:c7
    53. AI research evidence record openai:c6
    54. AI research evidence record deepseek:c1
    55. AI research evidence record perplexity:c7
    56. AI research evidence record kimi:diversifiedquotes-1
    57. AI research evidence record anthropic:22-1
    58. AI research evidence record anthropic:19-1
    59. AI research evidence record anthropic:21-1
    60. AI research evidence record google:1.3.8
    61. AI research evidence record google:1.3.9
    62. AI research evidence record openai:c5
    63. AI research evidence record openai:c2
    64. AI research evidence record google:2.1.1
    65. AI research evidence record google:2.1.4
    66. AI research evidence record google:2.1.2
    67. AI research evidence record google:2.2.8
    68. AI research evidence record deepseek:c1
    69. AI research evidence record deepseek:c2
    70. AI research evidence record openai:c4
    71. AI research evidence record openai:c3
    72. AI research evidence record anthropic:2-7
    73. AI research evidence record anthropic:28-6
    74. AI research evidence record kimi:diversifiedquotes-1
    75. AI research evidence record kimi:accuquote-3
    76. AI research evidence record anthropic:20-15
    77. AI research evidence record anthropic:20-19
    78. AI research evidence record anthropic:34-11
    79. AI research evidence record openai:c4
    80. AI research evidence record kimi:accuquote-3
    81. AI research evidence record kimi:diversifiedquotes-1
    82. AI research evidence record grok:1
    83. AI research evidence record perplexity:c4
    84. AI research evidence record openai:c4
    85. AI research evidence record openai:c3
    86. AI research evidence record anthropic:29-2
    87. AI research evidence record kimi:trinityinsurance-6
    88. AI research evidence record kimi:diversifiedquotes-1
    89. AI research evidence record google:2.1.8
    90. AI research evidence record openai:c7
    91. AI research evidence record openai:c5
    92. AI research evidence record perplexity:c9
    93. AI research evidence record openai:c6
    94. AI research evidence record perplexity:c7
    95. AI research evidence record openai:c4
    96. AI research evidence record anthropic:28-6
    97. AI research evidence record deepseek:c1
    98. AI research evidence record perplexity:c4
    99. AI research evidence record kimi:diversifiedquotes-1
    100. AI research evidence record openai:c3
    101. AI research evidence record anthropic:29-2
    102. AI research evidence record openai:c6
    103. AI research evidence record openai:c5
    104. AI research evidence record anthropic:2-7
    105. AI research evidence record grok:3
    106. AI research evidence record kimi:trinityinsurance-6

Verify this research

Check when the research was run, which platforms were included, and what supports the findings.

Study date
September 22, 2026
Platforms analyzed
7
Source records
42
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#8

Behind the findings

Platforms in this study

  • ChatGPT
  • Claude
  • DeepSeek
  • Grok
  • Perplexity
  • Kimi
  • Gemini

Source records

23 independent · 17 company-owned · 2 unclear

Evidence support

26 direct · 5 partial

Keep in mind

Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.

Technical verification details

Use this SHA-256 fingerprint to identify the source snapshot associated with this study.

f12382c7e063db02fd29082c1d8eb36082a157c5ed728250686c965b10123376