truvaraGive every answer
a reason to be trusted.
TRUVARA helps intelligent agents find reliable sources, verify what they receive, and understand exactly how much confidence to place in every piece of data.
Fast answers are not enough.
AI agents can retrieve information in seconds. The problem is knowing whether that information deserves to be trusted.
Without Truvara
With Truvara
Truvara adds a verification layer between raw information and the answers agents deliver.
Data should come with proof.
AI agents can move fast, but speed means little when the information behind an answer cannot be verified.
Verify
Check claims against reliable sources.
Trace
Understand where every important piece of information came from.
Score
Measure how much confidence the system should place in the result.
How TRUVARA works.
A fixed sequence, every time a claim needs an answer it can stand behind.
Receive
An agent sends a claim or data point.
Discover
TRUVARA identifies relevant sources.
Verify
The system compares information across sources.
Score
TRUVARA calculates a confidence score.
Return
The agent receives verified data with provenance.
See a claim get verified.
See why a claim can be trusted.
Every verification returns more than a yes or no. Truvara shows the sources, evidence, confidence, and provenance behind the result.
"The current price of Product X is $299."
The claim is supported by multiple independent sources with consistent information.
Confidence is context, not certainty.
Truvara gives agents a measurable signal about how strongly available evidence supports a claim, making uncertainty easier to inspect before an answer is returned.
Add verification to the systems you already have.
Truvara sits between your agent and the information it returns, adding verification, confidence, and provenance without requiring you to rebuild your workflow.
Your Agent
Sends a claim or data point that needs verification.
Truvara API
Receives the claim and starts the verification workflow.
Source Discovery
Finds relevant sources for the claim.
Verification
Compares available information and checks consistency.
Confidence
Produces a measurable confidence signal.
Verified Response
Returns the result together with provenance and verification context.
{
"verified": true,
"confidence": 0.98,
"sources": 4,
"provenance": true
}
One API call. A verification layer between your agent and the answer.
Drop in
Connect Truvara to an existing agent workflow without replacing the system around it.
Inspect
Receive source information, verification results, confidence, and provenance.
Scale
Move from prototypes to production workflows as verification volume grows.
The difference is what happens before the answer.
Agents can retrieve information quickly. Truvara adds the verification layer that helps determine whether that information is supported, traceable, and worth trusting.
Fast answers. Limited visibility.
Unverified claims
Information can be returned without a clear verification layer.
Unknown sources
It may be difficult to understand where important information came from.
No confidence signal
The system may return an answer without showing how strongly the evidence supports it.
Manual checking
Teams may need to inspect important claims manually.
Difficult to audit
Tracing how an answer was produced can become difficult.
Verified, traceable, measurable.
Verified claims
Claims are checked against available sources before the result is returned.
Traceable sources
Important information can be connected to the sources behind it.
Confidence scoring
A measurable confidence signal helps communicate the strength of available evidence.
Automated verification
Verification becomes part of the agent workflow instead of a separate manual step.
Clear provenance
The path from claim to verified result becomes easier to inspect.
From uncertain answers to inspectable results.
Truvara does not replace the agent. It adds the layer that makes important information easier to verify and understand.
Built for the systems behind the agents.
Add verification to existing agent workflows without rebuilding the systems around them.
{
"verified": true,
"confidence": 0.98,
"sources": 4,
"provenance": true
}
Wherever agents give an answer, someone needs to check it.
Research agents
Verify facts before returning research.
Shopping agents
Validate product prices, availability, and specifications.
Financial agents
Add transparency and source context to financial information.
Enterprise agents
Make automated decisions easier to inspect and audit.
Support agents
Reduce answers based on outdated or unsupported information.
Data pipelines
Attach provenance and confidence to important data.
One place to watch what your agents trust.
Know where every answer came from.
Nothing here promises certainty.
Source transparency
Verification history
Data provenance
Confidence scoring
Audit trails
Developer controls
Built to make agent data easier to inspect, verify, and trust.
Built to be visible when it matters.
Verification infrastructure should be observable. Truvara surfaces system health, verification activity, and operational signals in one place.
-
Verification APIHandles claim verification requests.99.98% Operational
-
Source DiscoveryDiscovers relevant sources for verification workflows.Healthy Operational
-
Confidence EngineGenerates confidence signals from available evidence.99.95% Operational
-
ProvenanceMaintains source and verification context.Healthy Operational
-
DashboardProvides visibility into verification activity.99.99% Operational
When verification infrastructure changes or becomes unavailable, teams should be able to understand what happened and where it affects their workflow.
View status details ↗Start free. Scale when your agents do.
- — 500 verifications / month
- — Static demo API access
- — Community support
- — 50,000 verifications / month
- — Full provenance & history
- — Priority support
- — Unlimited verifications
- — Dedicated infrastructure
- — SLA & audit controls
Questions worth answering.
A few things to know about how Truvara verifies, scores, and traces information for AI agents.
Truvara is a verification layer for agent data. It helps agents check claims against available sources, understand where information came from, and attach a measurable confidence signal to important results.
No. Truvara is designed to work alongside existing agent systems. Your agent can send a claim to Truvara, receive verification results and provenance, and continue using the result inside its existing workflow.
Truvara receives a claim, discovers relevant sources, compares available information, evaluates the supporting evidence, calculates a confidence signal, and returns the result with provenance.
A confidence score is a measurable signal representing how strongly the available evidence supports a claim. It is intended to communicate the strength of the evidence, not guarantee that a result is absolutely correct.
Yes. Truvara is designed around provenance, allowing important information to be connected to the sources and verification steps behind the result.
No system should promise absolute certainty. Truvara is designed to make evidence, uncertainty, and verification context more visible so teams can make better-informed decisions.
Yes. Truvara is designed as an infrastructure layer that can sit between an agent and the information it returns. The API workflow can be integrated into existing agent systems without requiring the entire workflow to be rebuilt.
Truvara can support workflows such as research agents, shopping agents, financial agents, enterprise agents, support agents, and data pipelines where source transparency and verification are important.
The landing page currently presents the API as a product concept and interface preview. API availability, documentation, limits, and production capabilities should be updated when the actual Truvara API is ready.
Truvara is designed with enterprise-oriented capabilities such as provenance, verification history, audit trails, developer controls, and scalable verification workflows. Specific enterprise availability and infrastructure should be confirmed when those capabilities are officially launched.
Make your agents easier to trust.
Give every important piece of data a source, a score, and a reason.