The Fact Checker Tool
Evaluate a factual claim against evidence and return a supported / refuted / unverifiable verdict with the reasoning — so an agent’s statements are checked before they’re presented as fact.
Autonomous agents fail quietly
An agent that can act is only useful if it remembers, plans, and checks its own work. Without a cognitive core, agents forget context, skip steps, and state wrong answers with full confidence — and you find out too late.
No memory across runs
Agents start from zero every session, re-asking what they were already told.
Acting before thinking
Without an explicit plan, agents take the first path, not the right one.
Confident wrong answers
Nothing checks the output, so mistakes ship as if they were facts.
No accountability
When it goes wrong, there is no trace of why the agent did what it did.
Fact Checker, without the risk
Capability
What it does
Assess whether a claim is actually true.
it assesses a factual claim against evidence and returns a supported, refuted, or unverifiable verdict with reasoning.
- Supported / refuted / unverifiable
- Reasoned verdict
- Weighs the evidence
- Auditable judgment
Assignable to any agent
How it works
Predictable, inspectable behavior
Designed to be reliable.
it gathers or accepts evidence, weighs it, and returns a verdict with the supporting and contradicting points, so the judgment is transparent and auditable.
Every call logged
Governance
Private, governed, on-premise
Runs inside your perimeter.
This tool runs inside your perimeter, scoped per user with full audit logging, so the agent’s reasoning, memory, and decisions stay private and accountable — never sent to a third-party service.
Per-tenant, logged
Parameters
The fact_check tool accepts these inputs when an agent calls it. Required inputs are flagged.
How the Fact Checker tool works in practice
Fact Checker is an agent core & quality tool you assign to a VDF AI agent. It assesses a factual claim against evidence and returns a supported, refuted, or unverifiable verdict with reasoning. Its hallmarks — Fact-check, Verdict, Evidence — let an agent rely on it as a dependable step in a larger task rather than a brittle one-off script.
Under the hood, it gathers or accepts evidence, weighs it, and returns a verdict with the supporting and contradicting points, so the judgment is transparent and auditable. It expects claim as required input, so calls are explicit and easy to audit. Every call is scoped to the requesting tenant and written to an audit log, so the capability is safe to run inside a regulated, on-premise environment — the same governance model behind every VDF AI tool.
Teams reach for Fact Checker when they need to handle answer verification, content review, and compliance. It rarely works alone — pair it with Citation Verifier, Source Cross-Check, and Answer Confidence Score to build a complete, governed workflow, then compose those steps into an on-premise VDF AI Network.
Where Fact Checker pays back
Answer verification
Check an agent’s key claims before they reach a user.
Content review
Fact-check drafts before publication.
Compliance
Ensure regulated statements are substantiated.
Research
Vet claims pulled from mixed-quality sources.
Assigned to agents, orchestrated as networks
On VDF AI, an industry’s use cases map to agents, and you assign tools like this one to those agents. Compose multiple agents into a governed, on-premise network.
What changes after you assign it
Questions about the Fact Checker tool
What is the Fact Checker tool?
It assesses a factual claim against evidence and returns a supported, refuted, or unverifiable verdict with reasoning. Assigned to a VDF AI agent, it runs under role-based policy with full audit logging so the capability is safe to use in production.
What if the claim can’t be verified?
It returns an "unverifiable" verdict rather than guessing, so the agent can hedge or seek more evidence.
Does it show its work?
Yes. The verdict comes with the supporting and contradicting evidence and the reasoning, so a human can audit it.
What inputs does the Fact Checker tool need?
It requires claim, and optionally accepts evidence. Each parameter is validated when an agent calls the tool, and the full call is logged for audit.
Which tools pair well with Fact Checker?
Fact Checker is commonly assigned alongside Citation Verifier, Source Cross-Check, and Answer Confidence Score. On VDF AI you compose several tools and agents into a single governed, on-premise network.
Does it run on-premise?
Yes. Like every VDF AI tool, it can run on-premise or in your sovereign cloud, scoped per user and audit-logged, so your data never leaves your perimeter.
How do agents use it?
You assign the tool to an agent under a role-based policy; the agent calls it as one step in a task, and several agents and tools can be orchestrated together as a governed VDF AI Network.
Assign Fact Checker to these agents
These VDF AI agents can be assigned this tool. Open an agent to see the full toolkit it can run.
Tools that work well alongside this one
Where this tool delivers value
Put Fact Checker to work
See the Fact Checker tool assigned to an agent and orchestrated in a governed, on-premise network.