ShouldEye Industry Rankings

The Internet’s Entity-Rating Authority

Where the Internet Gets Ranked.

Top 100 rankings for every industry. Each category is ranked independently from #1 to #100 using 90+ trust and risk signals, evidence provenance, and multi-model AI consensus.

Built for global coverage. Defended by methodology.

  • 2.4M+

    Entities indexed

  • 90+

    Trust & risk signals

  • 120+

    Industries calibrated

  • 70+

    AI models in consensus

Top 100 by industry

Each industry is ranked independently from #1 to #100.

100 overview records

02

Orange

Character.AI

AI Companies

+2.80

12-month Trust Score gain

Previous score
3.04/10
Current score
5.84/10
Trust Score5.80/10
AI Companiescharacter.ai
View Report

01

Orange

Amber Labs

Health

+2.80

12-month Trust Score gain

Previous score
1.41/10
Current score
4.21/10
Trust Score4.20/10
View Report

03

Red

Frost Data

Consumer Apps

+2.70

12-month Trust Score gain

Previous score
1.21/10
Current score
3.91/10
Trust Score3.90/10
Consumer Appsfrost-data.example
View Report

Top Ranked Entities

Discover leaders across industries. Choose an industry to open its independent Top 100.

  • 01

    Amber Labs logo

    Amber Labs

    Health

    amber-labs.example

    #1 in Health

    4.21/10

    D · Significant Concerns

    Orange
    12-month Trust Score gain+2.80

    1.41 → 4.21

    3,553 indexed evidence signals

    Evidence refreshed 23h ago

    Risk: ElevatedUnclaimed Stable
    High
    View Report

    Mixed Consensus · 60% agreement · 5 models

  • 02

    ↑2
    Character.AI logo

    Character.AI

    AI Companies

    character.ai

    #1 in AI Companies

    5.84/10

    C · Caution Advised

    Orange
    12-month Trust Score gain+2.80

    3.04 → 5.84

    3,890 indexed evidence signals

    Evidence refreshed 19h ago

    Risk: ElevatedUnclaimed Trending Down
    High
    View Report

    Mixed Consensus · 49% agreement · 5 models

  • 03

    ↓1
    Frost Data logo

    Frost Data

    Consumer Apps

    frost-data.example

    #1 in Consumer Apps

    3.91/10

    F · High Risk

    Red
    12-month Trust Score gain+2.70

    1.21 → 3.91

    5,238 indexed evidence signals

    Evidence refreshed 7h ago

    Risk: ElevatedClaimed Trending Up
    High
    View Report

    Mixed Consensus · 58% agreement · 5 models

  • 04

    ↑3
    Keen Analytics logo

    Keen Analytics

    Financial Services

    keen-analytics.example

    #1 in Financial Services

    3.61/10

    F · High Risk

    Red
    12-month Trust Score gain+2.60

    1.01 → 3.61

    2,623 indexed evidence signals

    Evidence refreshed 12h ago

    Risk: ElevatedUnclaimed Trending Down
    High
    View Report

    Mixed Consensus · 57% agreement · 5 models

  • 05

    Orbit Desk logo

    Orbit Desk

    AI Companies

    orbit-desk.example

    #2 in AI Companies

    4.93/10

    D · Significant Concerns

    Orange
    12-month Trust Score gain+2.60

    2.33 → 4.93

    3,809 indexed evidence signals

    Evidence refreshed 11h ago

    Risk: ElevatedUnclaimed Stable
    High
    View Report

    Mixed Consensus · 65% agreement · 5 models

The ShouldEye Trust Stamp System

How ShouldEye Stamps Work

One evaluation produces a 1–10 Trust Score, an A–F grade, and a Red → Gold Trust Stamp. Thresholds are fixed, independent, and never for sale — the same seals consumers see on company reports.

Red

1.0–3.9 / F

High Risk

Serious, repeated, or verified risk signals were identified. Do not proceed without independent verification.

Orange

4.0–6.9 / D–C

Significant Concerns · Caution Advised

Weak trust evidence or substantial unresolved concerns. Additional verification is strongly recommended.

Silver

7.0–8.9 / B

Generally Trusted

Positive trust evidence outweighs the risks, although minor limitations, gaps, or uncertainties may remain.

Gold

9.0–10.0 / A

High Trust

Strong, consistent trust evidence across independent sources with no unresolved material risks.

The 10-Point Color Scale

No E grade

Missing or insufficient evidence = Not Rated — no positive color is assigned.

No paid ranking. No pay-to-stamp. Subscription status never changes a score, grade, or stamp.

See score · grade · stamp mapping

Why this ranking exists

Why ShouldEye Rankings Matter

Reviews are one signal. ShouldEye turns ownership, legal, security, customer experience, and AI consensus into a public standard — for consumers deciding, and for companies accountable to evidence.

  1. 01

    Better consumer decisions

    Compare entities before you buy, sign up, or deposit — with scores that move on evidence, not popularity contests.

  2. 02

    Business accountability

    Claimed profiles can respond to signals, close gaps, and earn a stamp the public already understands.

  3. 03

    Ongoing surveillance

    Continuous monitoring refreshes rankings as ownership, legal, security, and complaint signals change.

  4. 04

    Transparent evidence

    Every assessment is grounded in indexed signals with provenance and freshness — reviews never stand alone.

  5. 05

    Category comparison

    Category-relative calibration keeps rankings meaningful across AI, finance, marketplaces, health, and more.

  6. 06

    Claim & improve

    Businesses claim profiles to monitor trust movement and work toward a stronger stamp — without buying rank.

For Business

Claim your profile. Improve your signals.

Respond to evidence, monitor trust changes, and earn a ShouldEye stamp consumers recognize — without buying rank.

Claim Your Profile

How the Internet Trust Ranking Is Built

The ShouldEye Ratings Architecture

A defensible, human-auditable system: 90+ signals, evidence provenance, multi-model consensus, category calibration, and stamp thresholds that move together with score and grade.

ShouldEye heart mascot — institutional trust scoring engine

90+ signals

  1. 01

    Signal intake

    Collect 90+ trust and risk signals across ownership, legal, security, policies, customer experience, and community evidence.

  2. 02

    Provenance & freshness

    Source quality, contradictions, and recency gate what can influence the score — stale or weak evidence is down-weighted.

  3. 03

    Multi-model consensus

    Participating AI models evaluate evidence independently; agreement strengthens confidence, disagreement surfaces uncertainty.

  4. 04

    Normalize & calibrate

    Scores are normalized and category-relative so rankings stay comparable within AI, finance, marketplaces, games, health, and beyond.

  5. 05

    Score · Grade · Stamp

    One evaluation maps to a 1–10 score, A–F grade, and Red/Orange/Silver/Gold stamp with fixed qualification thresholds.

  6. 06

    Continuous monitoring

    As new evidence arrives, EyeQ re-evaluates. Rank movement, stamp changes, and risk shifts stay visible over time.

Scoring dimensions

  • Ownership & transparency

    Identity, leadership, and business disclosure signals.

  • Legal & regulatory

    Public records, compliance posture, and material legal history.

  • Security

    Technical integrity, data protection, and safeguard indicators.

  • Customer experience

    Support patterns, complaints, refunds, and resolution quality.

  • Policies & terms

    Privacy, pricing clarity, commercial practices, and policy risk.

  • Business durability

    Operational stability and financial/business resilience signals.

  • Community & reviews

    Reviews and community evidence as one signal — never the whole system.

  • AI consensus

    Cross-model agreement and documented disagreement handling.

Stamp qualification thresholds

Gold 9.0–10.0 (A) · Silver 7.0–8.9 (B) · Orange 4.0–6.9 (D–C) · Red 1.0–3.9 (F). Missing evidence = Not Rated — no positive stamp.

Red

1.0–3.9 (F)

Orange

4.0–6.9 (D–C)

Silver

7.0–8.9 (B)

Gold

9.0–10.0 (A)