TrustIndex is a multi-dimensional trust intelligence infrastructure that measures credibility, integrity, authenticity, accountability, and public confidence across people, institutions, creators, leaders, and digital identities.
Query a person, brand, or institution and instantly receive a composite TrustScore with a detailed breakdown across all 28 dimensions — verification, momentum, and AI confidence included.
Today, popularity can be manufactured. Influence can be bought. Narratives can be manipulated.
But trust remains invisible. TrustIndex transforms trust into measurable intelligence — a new layer of accountability for the AI era.
Four interlocking layers turn fragmented signals into a coherent, explainable trust score.
Composite institutional-grade trust index, normalized 0–100, recomputed continuously.
All raw signals are normalized 0–100 against domain-specific cohorts before composition.
Score refreshes as new signals arrive — no batch lag, no stale baselines.
Weights adapt to entity type — leaders, brands, creators, institutions and handles each have tuned curves.
Independent, weighted vectors covering integrity, authenticity, accountability and more.
Independent dimensions like Integrity, Authenticity, Polarization and Hidden Risk — each scored separately.
Every vector carries source attribution and contributing signal weights.
Weights shift by audience, region, and time horizon to reflect contextual trust.
Cross-platform conduct, interaction patterns, consistency, recovery and history.
Aggregates behavior across owned, social, press and third-party surfaces.
Detects coordination, anomalous bursts, and authentic engagement signatures.
Tracks contradictions and stance shifts across statements, actions, and disclosures.
Captures redemption arcs and how reputational damage decays or compounds.
Explainable model that reports certainty, sourcing, and adversarial risk per signal.
Every signal reports a calibrated confidence — never a black-box number.
Each contributing signal exposes provenance, retrieval time, and reliability tier.
Flags manipulation attempts, coordinated campaigns, and synthetic amplification.
28 weighted dimensions. Continuously recomputed. Fully explainable.
Hover any spoke to inspect signal composition, methodology, and explainable AI reasoning.
Alignment between stated values, public actions, and private behavior across time.
Consistency of voice, presentation, and identity across surfaces and audiences.
Willingness to acknowledge mistakes, accept consequences, and correct course publicly.
Observable behavior in public forums, debates, and high-visibility moments.
Demonstrated expertise and outcomes in the entity's stated domain.
Consistency of delivery against promises, deadlines, and commitments.
Resistance to volatility — how stable trust remains under stress.
Speed and shape of credibility recovery after a reputational event.
Accuracy and sourcing quality of factual claims made by the entity.
Whether reach is wielded responsibly relative to its scale and audience.
Degree to which the entity's content drives divisive vs. unifying response.
Depth and authenticity of endorsements — not raw follower counts.
Contribution to public discourse, democratic norms, and civic outcomes.
Standing within and toward established institutions and governance structures.
Demonstrated impact on humanitarian causes and vulnerable populations.
Latent reputational exposure not yet visible in mainstream coverage.
Every profile becomes a navigable trust dossier — verifications, dimensions, sentiment, history.
Cryptographic and institutional verification of the entity behind every profile — no impersonation, no doubt.
Every profile exposes its full dimension grid with per-vector trend, confidence, and source attribution.
Real-time aggregated sentiment across owned, social, press, and third-party signals.
Historical evolution of the composite TrustScore with annotated inflection events.
One click into the entity's network — collaborators, institutional ties, and influence flow.
Per-signal certainty, sourcing, and adversarial-risk indicators surfaced inline.
Built-in appeals workflow with transparent audit trail for every contested signal.
Trust does not exist in isolation. TrustGraph™ maps the relationships, influence ecosystems, reputational spillover, and hidden trust structures that shape how credibility flows.
Resolves co-authored statements, board overlaps, joint ventures, and shared affiliations into a weighted edge graph.
Quantifies how reputation flows across endorsements, partnerships, and shared platforms — both upside and contagion.
Traces how a credibility event spreads through connected entities, and where it stalls or amplifies.
Surfaces non-obvious clusters — silent backers, dormant networks, and reputational shells.
Detects manipulation, propaganda, and coordinated persuasion campaigns at scale.
Identifies inauthentic message clusters across accounts, languages and platforms.
Classifies rhetorical devices and emotional loading used to shift opinion.
Tracks how narratives migrate from fringe sources into mainstream outlets.
Identifies contradictions, inconsistencies, and trust volatility across time.
Compares public statements over time to surface reversals and contradictions.
Measures behavioral variance against the entity's own baseline.
Cross-checks declared positions against observable actions and disclosures.
Surfaces artificial authenticity, fake personas, and deepfake behavioral patterns.
Detects deepfake artifacts in voice, video, and image content attributed to the entity.
Scores how consistently a digital identity behaves like a real, embodied human.
Maps automated accounts amplifying or impersonating the entity.
A live quadrant maps every public profile across two axes — trust and influence. Watch leaders, hidden gems, and dangerous influencers shift over time.
Operate with credibility commensurate to their reach — institutional anchors.
Low volatility, strong recovery history, durable cross-cohort approval.
Outsized reach with weak credibility — primary vector for manipulated narratives.
High polarization scores combined with coordinated amplification.
Quietly credible voices the network underweights — promotion candidates.
Surfaced by TrustGraph as bridge nodes between high-trust clusters.
Background population — monitored for sudden shifts but not actively ranked.
Auto-promoted to active monitoring on rapid trust or influence delta.
For governments, corporations, media organizations, agencies, platforms, and institutions.
Live trust posture across every contracted creator with risk thresholds.
Background trust dossier before any partnership or campaign goes live.
C-suite trust tracked per dimension with alerting on material drops.
Detects credibility erosion before it surfaces in mainstream coverage.
Flags trust-toxic adjacencies in advertising, partnerships, and sponsorships.
Identifies which narratives threaten brand trust and where they originate.
Trust posture per region, demographic, and issue cluster.
Detects coordinated cross-border campaigns targeting officials and parties.
Per-publisher and per-byline credibility, sourced and explainable.
Tracks accuracy of named sources over time across the outlet's output.
Watch trust scores move minute-by-minute during a live event.
Forecasts realistic recovery paths based on historical analogues.
Embed institutional-grade trust intelligence into hiring platforms, marketplaces, fintech, creator economy systems, AI agents, and social platforms.
// Request curl https://api.trustindex.com/v1/trust/score \ -H "Authorization: Bearer $TRUST_KEY" \ -d '{"identity":"acme.corp","depth":"full"}' // Response { "trust_score": 82.4, "ai_confidence": 0.91, "momentum": "rising", "hidden_risk": "low", "dimensions": { "integrity": 88, "authenticity": 84, "polarization": 42 }, "explainability": "v2.0" }
TrustIndex measures Public Trust Perception, not Absolute Moral Truth.
Verifiable reputation for autonomous AI systems and agents.
Governments, ministries, NGOs, multilateral organizations.
Cross-border credibility and information warfare resilience.
Real-time outlet, journalist, and source credibility.
Distinguishing human, augmented, and synthetic identity layers.
Open standards for verifiable trust portability.
As AI-generated content, misinformation, synthetic identities, and manufactured influence scale globally, society needs a new intelligence layer for credibility and accountability.