Paste any URL. AI reads the page, extracts every testable assertion, scores its freshness, classifies its origin, and flags dead sources. Sixty seconds. One free scan a day, no account required.
Every scan ships with the same three reads. They roll into a workspace dashboard, so you watch the slope, not just the snapshot.
Point it at any public URL: your post, a competitor’s, or a benchmark report. The extractor pulls out the statistics, time references, comparisons, and source citations it finds, each tagged with a type, a confidence score, and a staleness risk.
Each claim gets a current or stale read based on its source and the age of the data behind it. Dead links are flagged. High-risk staleness ranks first. The page-level Freshness Score (0 to 100) is your single read on how the post is aging.
Every claim is classified original (from your own polls or charts), first-party (you measured it), sourced (cited from a publisher), or unattributed (no source on record). Two scores fall out: Originality, how much is yours, and Attribution, how much is backed at all.
The scanner spots LiquiChart embeds already on the page (charts, polls, Living Content blocks) and reports each chart’s freshness status right alongside the prose claims. One view of the whole page’s data layer.
Sign in and every scan saves to a workspace dashboard. Your 50 most recent scans, ranked by freshness and at-risk count, so the post due for an edit is the one at the top of the list.
There is no SDK to install. The scanner is one HTTP request to the same endpoint the tool uses, and the report comes back as JSON. Sign in and your scans persist to a workspace dashboard; track a claim and it fires a webhook the day its source drifts.
# scan any public URL, same endpoint the tool uses curl -X POST "https://app.liquichart.com/api/content-health/public-scan" \\ -H "Content-Type: application/json" \\ -d '{ "url": "https://blog.example.com/state-of-content-2026" }' # 1 free scan a day anonymous · 3 a day on a free account # returns { report, reportId }
Drop in 30 URLs from your archive. Get a ranked list of the stalest posts, the riskiest claims, and the dead sources. Fix the top five before lunch.
Scan the draft URL and see which numbers are already aging before you hit publish. Cite the current figure, not the one that went stale six months ago.
Run their stats page through the scanner. See which numbers are stale, which are unattributed, which sources have died. Build the case for your own original poll.
Scan a prospect’s blog before the meeting. "These three claims went stale six months ago, here’s what we’d ship to fix it." Better than a cold open.
The workspace dashboard ranks every saved scan stalest-first. The team has a triage list before standup, no spreadsheet required.
When a publisher cites you with a stale number, the scan finds it. Reach out with the diff and a link to your current claim, not a cold pitch.
Diagnose, track, fix, monitor. Each piece feeds the next.
Claims, sources, freshness, originality, attribution: all checked. Free, no account required.