Trust for AI interactions
Making AI agent actions easier to trust
TraceProof helps people and software verify whether an AI-driven message, call, or action is genuine — without sharing secrets and without relying on full transcript capture.
Free Developer account available now.
Verified interaction
Check who acted before you trust the interaction
Optional attested context
Support reply sent to customer in chat
The trust gap
AI is getting easier to deploy — but harder to trust
AI agents are starting to act across chat, email, voice, workflows, and APIs. But when an agent contacts someone or triggers an action, most recipients still have no simple way to check whether it is real.
Legitimate interactions get ignored
Real notifications and service messages are treated like spam or fraud.
Useful automation looks risky
Customers and staff hesitate when they cannot verify the source.
Brands lose credibility
Companies struggle to prove an AI interaction is genuinely theirs.
Systems act on untrusted inputs
Future agent-to-agent workflows also need a reliable way to verify actions.
How it works
Verify who acted. Then show what they say they did.
TraceProof is built for verification, not transcript hoarding. It gives companies a way to add trust to AI interactions and gives recipients a way to check what is real.
1
Register trusted agents
Companies register approved AI agents and issue credentials to the systems allowed to generate traces.
2
Generate a trace
When an agent sends a message, places a call, or triggers an action, a trace can be created.
3
Verify independently
The recipient can verify the company, the agent, the source, the timestamp, and any optional declared context.
Trust without surveillance — privacy-respecting verification for AI agent actions.
Make AI interactions easier to trust
TraceProof helps companies add verifiable trust to customer-facing and operational AI interactions.
- Register and manage approved agents
- Control credentials and trace issuers
- Add verification to messages, calls, and workflows
- Optionally attach declared action context
- Support safer rollout of AI across channels
Verify who contacted you
TraceProof helps users check whether an interaction is genuine and keep a private history of verified traces.
- Check whether an interaction is genuine
- See who the interaction came from
- Review source and time of contact
- View optional action context, if provided
- Save verified traces to personal history
Useful today. Even more important tomorrow.
As personal AI assistants grow, they will need trust checks too
Imagine your bank calls and your phone’s AI assistant answers first. Before passing the interaction to you, it needs to know whether that caller is genuine. TraceProof gives the receiving agent a way to verify that interaction before acting on it.
The same model can support future agent-to-agent workflows across systems.
Pricing
Simple pricing to get started
Start with a free Developer account. Scale into higher tiers as usage grows.
Best place to start
Developer
Free
Best for testing and early integrations.
- 1,000 traces / month
- 3 agents
- 2 active credentials per agent
- Public verification
- User history
Growth
$149 / month
Best for startups and early live use.
- 25,000 traces / month
- 10 agents
- 4 active credentials per agent
- Everything in Developer
Enterprise
$1,250 / month
Best for broader rollout and multiple teams.
- 250,000 traces / month
- 50 agents
- 10 active credentials per agent
- Everything in Growth
Big Enterprise
Custom
Best for large-scale deployments.
- 1,000,000 traces / month
- 1,000 agents
- 20 active credentials per agent
- Tailored rollout support
Early partners can access lightweight commercial terms while we shape pilots together.
FAQ
Frequently asked questions
What is TraceProof?
TraceProof is a verification platform for AI agent actions. It helps recipients check whether an AI-driven interaction is genuine.
Does TraceProof store conversations?
Not by default. TraceProof focuses on verification and minimal metadata, not full transcript capture.
Who can see a trace?
The recipient can verify the trace they receive. Users can also keep a private saved history of verified interactions in their own account.
Is personal data required?
TraceProof is designed to verify interactions without broad identity disclosure or unnecessary data collection.
Can this work for agent-to-agent interactions?
Yes. The same verification model can support software agents checking whether incoming actions are genuine.
Start making AI interactions easier to trust
Whether you are deploying AI agents or receiving AI-driven interactions, TraceProof gives you a clearer way to verify what is real.