The research problem in a campaign timetable

Political research is bounded by deadlines that do not move. A selection meeting, a shortlist, a launch, a debate — each arrives whether or not anyone has finished reading the subject's timeline. And the material that decides these things is rarely recent: it is a post from a decade ago, a reply in a forgotten argument, a remark in the back half of a podcast appearance.

Manual research handles this by sampling. Someone scrolls back a few years, runs a handful of keyword searches, and hopes. That is how a story ends up being broken by an opponent rather than found by your own team. ArgusX (also written Argus X) exists to remove the sampling: it reads the whole public record and reports what it finds.

Vetting your own people first

The most common use of ArgusX in political work is not offence but defence — vetting your own candidates, appointees, staff, spokespeople and surrogates before anyone else does. Knowing about a problem post first is the difference between a managed statement and a two-week crisis, and it lets a selection panel weigh a real record rather than a hunch.

The same scan works both ways. Because ArgusX only reads public content, any public account can be screened with the same tooling and to the same standard, which keeps the research on both sides of a contest consistent and comparable.

What a scan returns

You name the target — a public X or Bluesky username, or the YouTube and Rumble videos you want reviewed — and ArgusX retrieves the full public history: original posts, replies and reposts, or complete video transcripts. Every item is then classified against nine reputational risk categories: racism, violent rhetoric, antisemitism, Islamophobia, transphobia, homophobia, sexism, hate speech and extremism.

Campaign research is rarely only about those categories, so you can add a custom query for the issue you actually care about — a policy reversal, a donor, a former employer, a specific controversy — and run it in the same scan at no extra cost. One scan of one account covers up to 10,000 posts and up to twenty years of history; a video scan covers up to twenty hours of footage. Most finish within fifteen minutes.

Findings that survive contact with a journalist

Every dossier opens with an executive summary, then lists each flagged item with its category, a one-line rationale, and a link to the original post or the exact timestamp in the video. Reposts are labelled as reposts with the original author attributed, so amplification is never presented as authorship — a distinction that matters enormously when research goes public.

Nothing should leave the building unreviewed. The rationale and the source link exist so a researcher can confirm context before a line makes it into a brief, and false positives can be reported. Dossiers export as PDFs for briefing packs and client reporting.

Fitting ArgusX into a research operation

Subjects post in different places, so coverage matters. See how ArgusX scans an X (Twitter) account's whole history and how YouTube video analysis handles spoken content; Bluesky and Rumble run through the same pipeline. For a broader description of the method, see AI social media vetting, and for commercial screening, social media due diligence.

Research teams share a single workspace with seats and a pooled monthly credit allowance, so every scan is in one place at the end of a cycle. One scan is one credit, with subscription and pay-as-you-go options on the ArgusX pricing page. No card is required to create an account.