Trust must be verifiable.
#trstd is the trust infrastructure for People, Brands and AI.
Access to the trust infrastructure is free and remains free. Trust is earned, never bought. Paid plans add advanced services.
One trust infrastructure. People, Brands and AI.
#trstd is the shared trust infrastructure through which People, Brands and AI can verify each other before they interact.
It connects verified identities, trust signals and evidence from real interactions so participants can understand who they are dealing with and make better trust decisions.
Trust cannot be reduced to a badge, a claim or a single score. It develops through what participants can prove and how they behave over time.
How #trstd works
Different participants. One trust infrastructure.
People, Brands and AI interact in different ways. #trstd connects them through the same underlying trust infrastructure.
People can verify that a website really belongs to the Brand behind it and see trust information backed by #trstd.
Brands can prove who they are and make relevant trust signals available to People and AI, while deciding how verified AI agents may interact with their services.
AI agents can prove who they are, who operates them and what they are authorised to do, while verifying the Brands and services on the other side.
Different participants. Different interactions. The same principle:
Check and be checked.
People verify Brands. AI agents verify Brands. Brands verify AI agents. Trust works in both directions.
Identity establishes who is acting. Behaviour shows what happens next. Reputation reflects the track record over time.
Trust starts with identity.
A verified identity creates accountability, but identity alone does not make someone trustworthy. Real interactions create evidence about what happens next.
Were permissions respected? Were commitments kept? Was a transaction completed correctly? Was data protected? Did the outcome match what was expected? What happened when something went wrong?
Repeated interactions build a track record. Good behaviour strengthens Reputation over time. Serious violations can damage trust quickly.
- 1IdentityKnow who or what is behind an interaction.
- 2BehaviourSee what actually happens when participants interact.
- 3ReputationUnderstand the track record that behaviour has created over time.
Trust works both ways.
A trustworthy interaction cannot depend on only one side being verifiable.
A person can check whether a website really belongs to the Brand behind it.
A Brand can identify an AI agent, its operator and relevant authority before deciding what that agent may do.
An AI agent can verify the Brand or service before sharing data, recommending it or taking action.
Each side brings evidence. Each side can verify the other. And every relevant interaction can create new evidence for what happens next.
Evidence & Trust Graph
Trust needs evidence.
Not every signal carries the same weight.
A verified identity tells you who is behind an interaction. A genuine transaction can prove that a Review is based on a real experience. A signed interaction can show whether an AI agent respected a Brand’s policy. A purchase, refund, dispute or successful remediation can provide evidence about what actually happened.
#trstd connects relevant evidence to the participant and interaction it belongs to.
Its provenance matters. So do recency, diversity, relevance and the outcome itself. Evidence backed by real, verifiable interactions is stronger than self-declared claims or unverified ratings.
One side proves what it did. The other proves what happened.
An agent can sign its request. The receiving service can provide signed evidence about the action it observed and the resulting outcome. #trstd can connect both sides of the interaction and turn them into verifiable behavioural evidence.
Both sides connect to the same interaction and become verifiable behavioural evidence.
Trust needs memory.
A single participant usually sees only one part of someone’s history.
#trstd connects verified relationships and outcomes across the ecosystem so relevant evidence from one interaction can help inform the next.
The Trust Graph connects participants and the evidence around them: People, Brands, AI agents, Operators, credentials, mandates, policies, interactions, transactions, incidents and outcomes.
It is not a public social graph. Raw personal and commercial data does not need to become part of a public pool. What matters is the verified relationship, status, evidence and reason needed for a trust decision.
This becomes particularly valuable across organisations. An individual provider sees only its own interactions. #trstd can connect standardised, verifiable evidence from independent participants across the ecosystem.
Trusted for what? And under which conditions?
Trust is not universal.
An AI agent may have a strong track record for search and comparison but still be unproven for autonomous payments. A Brand may have different evidence for identity, certification, Reviews, service quality or protection.
#trstd therefore does not reduce trust to one universal score. The relevant identity, authority, behaviour, outcomes and strength of the available evidence depend on the interaction that is actually taking place.
Standards, Security & Privacy
Use what already works. Add what trust still needs.
#trstd follows a standards-first approach.
Existing standards already solve important parts of authentication, identity, credentials, authorisation and agent communication. #trstd builds on them instead of creating proprietary replacements.
These foundations help establish who acted, how an interaction was authenticated and what was exchanged.
#trstd adds what makes that information useful for trust over time: verified behavioural evidence, outcomes and Reputation.
For agentic interactions, TSAI can carry relevant trust and policy context while #trstd provides the dynamic trust intelligence and Trust Authority behind it.
Share the proof. Not the dossier.
Verifiable trust should not require participants to expose everything they know.
Personal and commercially sensitive information can remain with its source. Pseudonymous identifiers, verified assertions, evidence categories, status and cryptographic proof can provide what another participant needs for an interaction.
For example, #trstd may need to know that an agent accessed payment_data or address_data without receiving the actual payment details or address.
Disclose what is necessary. Keep control of the rest.
Identity and behavioural information can remain separated where appropriate, supported by selective disclosure, access controls, revocation and auditable evidence handling.
The infrastructure in motion
Every verified interaction can make the next decision better informed.
#trstd is not a static registry. The infrastructure learns from what happens across the ecosystem.
This network effect is fundamental to #trstd: more participants create more interactions and Data Trails, strengthening the Trust Graph and making future trust assessments more useful.
- Verified participantsestablish accountability.
- Real interactionsconnect identifiable counterparties.
- Evidence & outcomesshow what actually happened.
- Trust Graphconnects evidence across interactions.
- Reputation & current statusreflect what has been learned over time.
- Better trust decisionshelp participants decide how to interact.
- More trusted interactionscreate new evidence.back to Evidence & outcomes — the cycle continues.