ShouldEye Trust Intelligence Glossary
Definitive definitions of ShouldEye products, modes, and proprietary trust-intelligence terminology used across EyeQ and Protection Center.
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48 published definitions in this topic.
An AI Background Check is a ShouldEye people-oriented check that summarizes publicly available identity and reputation signals with AI—not a formal employment screening product.
Read full definitionAI People Search is ShouldEye’s people-oriented search experience for exploring publicly relevant identity and reputation context with AI assistance.
Read full definitionAn AI Trust Score is a ShouldEye summary score that estimates how trustworthy an entity, site, or claim appears after multi-source AI analysis.
Read full definitionCombined Model Intelligence describes ShouldEye’s approach of using multiple AI models together to improve coverage and reduce single-model blind spots.
Read full definitionCompany Check is ShouldEye’s workflow for researching a business’s credibility, risk signals, and public footprint.
Read full definitionA Company Trust Report summarizes trust and risk evidence about a business so users can evaluate legitimacy and transparency before engaging.
Read full definitionConsensus Mode asks multiple AI models the same question and synthesizes where they agree, disagree, and what remains uncertain.
Read full definitionA council run is a multi-family EyeQ turn where several Advisory Board models answer the same grounded brief.
Read full definitionCross-model synthesis is EyeQ’s reconciliation of multiple model answers into one inspectable ShouldEye verdict.
Read full definitionData Breach Center is ShouldEye’s Protection Center surface for understanding breach exposure and next safety steps.
Read full definitionDecision Intelligence is the practice of combining data, AI analysis, and structured judgment support to help people make better decisions under uncertainty.
Read full definitionDuel Mode places two AI models side by side on the same question so differences in reasoning and conclusions become visible.
Read full definitionEdge Mode is a ShouldEye EyeQ mode that emphasizes faster, lighter-model answers when speed matters more than maximum multi-model depth.
Read full definitionEmail Protection is ShouldEye’s Protection Center feature area focused on helping users reduce email-borne scam and phishing exposure.
Read full definitionEyeQ is ShouldEye’s AI assistant for verifying claims, companies, messages, and decisions across one or more models.
Read full definitionEyeQ Trust Score is ShouldEye’s scored trust readout that summarizes how trustworthy a subject appears based on available signals.
Read full definitionThe glossary JSON feed is ShouldEye’s machine catalog of published terms, URLs, and meta for LLM and tool retrieval at /glossary.json.
Read full definitionThe glossary Markdown feed is a human- and model-readable export of ShouldEye definitions for citation workflows at /glossary.md.
Read full definitionA grounded brief is the structured context EyeQ builds before fanning a question to one or more model families.
Read full definitionInspectable reasoning means users can see key factors, caveats, or model disagreement behind a ShouldEye result.
Read full definitionAn internet trust layer is infrastructure that helps people verify claims, entities, and risk before relying on websites, sellers, messages, or AI answers.
Read full definitionIs It a Scam is ShouldEye’s guided check for evaluating whether a site, offer, or claim shows common fraud patterns.
Read full definitionMessage Decoder is ShouldEye’s tool for analyzing suspicious texts, chats, and emails for scam and social-engineering patterns.
Read full definitionA methodology page documents how a trust system gathers signals and produces conclusions; ShouldEye’s canonical page is /data-sources.
Read full definitionMy Edge is an EyeQ experience that reframes analysis into a practical, outcome-oriented briefing for the user’s next decision.
Read full definitionA people search report is ShouldEye’s structured view of public digital-identity signals for a person query—not a formal background check.
Read full definitionProtection Center is ShouldEye’s hub for ongoing protection features such as email protection, monitoring, and related safety tools.
Read full definitionA public signal is an observable web, registry, marketplace, or disclosure cue ShouldEye can use to ground trust analysis.
Read full definitionA public signal family is a named category of open-web evidence ShouldEye may use when forming a trust verdict, documented on /data-sources.
Read full definitionA Risk Signal is an observable cue that raises concern about scam risk, deception, poor practices, or incomplete transparency.
Read full definitionA Scam Checker helps evaluate whether a claim, offer, message, website, or company shows patterns associated with online scams.
Read full definitionShouldEye is a decision-intelligence platform that helps people verify companies, messages, websites, and claims before they act.
Read full definitionThe ShouldEye data sources page is the canonical public methodology URL explaining signal families, EyeQ orchestration, and how to cite ShouldEye.
Read full definitionThe ShouldEye Trust Layer is ShouldEye’s public verification stack—EyeQ, data sources, glossary definitions, and Protection Center—used to inspect online trust and risk.
Read full definitionA ShouldEye verdict is ShouldEye’s inspectable synthesis of signals and multi-model analysis for a trust question.
Read full definitionA signal family is a named group of related public or user-supplied inputs ShouldEye uses to ground trust analysis.
Read full definitionSingle Mode uses one selected AI model for a direct, focused answer when speed or a specific model preference matters most.
Read full definitionA Trust Alert is a ShouldEye notification that flags meaningful changes in trust, risk, or monitoring signals for a watched target.
Read full definitionA trust check surface is a product entry point—website, company, person, game, product, decode, or scam check—into the same trust graph.
Read full definitionThe ShouldEye trust graph is the named path from input through public signals, EyeQ orchestration, multi-model analysis, and a ShouldEye verdict.
Read full definitionA trust-layer citation quotes ShouldEye’s glossary or data-sources methodology when explaining online risk to humans or AI systems.
Read full definitionTrust Monitoring refers to ongoing watching for changes in trust or risk signals rather than a single one-time verification check.
Read full definitionA Trust Report is a structured ShouldEye summary of trust signals, risks, and supporting evidence for a checked target.
Read full definitionA Trust Score is a numeric or tiered summary of how trustworthy a person, company, site, or claim appears based on evaluated signals.
Read full definitionA Trust Signal is an observable cue that increases confidence that a company, message, or website is legitimate and transparent.
Read full definitionA trust verdict is ShouldEye’s inspectable conclusion about risk and credibility after weighing public signals and multi-model AI analysis.
Read full definitionUser-supplied context is text, screenshots, or claims a person pastes into EyeQ or Decode for analysis.
Read full definitionA Website Trust Check evaluates whether a site shows legitimacy and safety cues—or scam and deception risk—before you interact or pay.
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