AI AGENT / PRODUCT

Fact-checking where
conversations happen.

A source-backed AI agent that can receive a claim in context, assemble relevant evidence, and return a reviewable record without presenting automation as final authority.

THE OPERATING PRINCIPLE

Meet the claim where it appears.

The agent reduces the distance between a questionable claim and the evidence needed to examine it. It is designed for conversation surfaces and monitored workflows, including X, where a mention can become a structured fact-checking request.

Live demo: experience the agent on X via @0xProvenance. X is one live implementation; the agent can also operate across other platforms and defined organizational workflows.

Fast enough for the conversation. Traceable enough for review.

The agent identifies the checkable question, searches for relevant sources, and produces a linked record that keeps evidence and reasoning available beyond the original exchange.

It supports human judgment rather than replacing it. Developing events, limited sources, conflicting accounts, and uncertainty remain visible instead of being compressed into false confidence.

01

Request in context

Bring a claim from the conversation rather than forcing people into a separate research workflow before they can ask whether it holds up.

02

Evidence-based results

The response is built around relevant sources and a review record, not an unsupported answer detached from where its evidence came from.

03

Human and AI validation

Automation can accelerate collection and synthesis. Human review, domain expertise, and accountable policies remain essential where the stakes require them.

04

Enterprise-ready workflows

The same agent pattern can support defined streams, dashboards, APIs, and review queues for organizations monitoring high-volume information.

DOCUMENTED MEDIA CITATION / HISTORICAL SNAPSHOT

When the responsible answer is “Unverifiable.”

On 18 January 2026, IndiaTimes published a fact-check about a viral claim involving an alleged early GTA 6 access grant. Its article embeds a public assessment from Provenance Fact-Check. The citation documents this public output, not an endorsement. This case study describes the evidence reported at that time.

THE CLAIM UNDER REVIEW

Rockstar Games had allegedly granted a fan early access to GTA 6.

The circulating claim followed a family member’s LinkedIn appeal. The article describes social posts and reporting that referred to a now-deleted LinkedIn post; it does not establish that the alleged grant occurred.

WHAT THE PUBLIC RECORD SHOWS
01

IndiaTimes reporting

The article reports that the claim circulated on X and other social channels, notes references to a LinkedIn post that had been deleted, and says there was no official Rockstar confirmation at publication.

Read the IndiaTimes article
PUBLISHER REPORTING
02

Provenance Fact-Check post

The article quotes the public post’s verdict as “Unverifiable.” The excerpt mentions X posts and a YouTube video, but is truncated; a complete source list or execution record is not available in the cited excerpt.

Inspect the original post
QUOTED ASSESSMENT
REMAINING UNCERTAINTY

The public material cited here does not establish whether the alleged access was granted. No official confirmation was reported in the article at publication. “Unverifiable” is not proof the claim was false, and this historical snapshot does not establish the claim’s present-day status or prove system-wide accuracy.

BRING THE AGENT TO YOUR WORKFLOW

Start with where claims reach your team.

Tell us about the conversation surface, review policy, and evidence requirements that matter to your organization.

Discuss the AI Agent