Count evidence units, not mentions

Make correlation visible before trust enters the room.

Two AI platforms can be two observations and still belong to one evidence cluster. Organize what you actually have before deciding what to verify next.

EVIDENCE CSV0 rows
Source-grounded rows are ready. No live claim is verified.

Correlation-aware evidence

Build the matrix to separate observations from independence units.

WAITING
OBSERVATIONS0
INDEPENDENCE UNITS0
ORIGIN DOMAINS0
DIRECT TESTS0
CLASS + ORIGIN CLUSTERS0 plotted observations

No clusters yet.

Agreement can justify attention without becoming a trust verdict.

More mentions are not more independence when the evidence path is shared.

Observation

Record who said what and whether it was a mention, issuer claim, audit, contract check, or direct product test.

Correlation unit

Rows sharing both evidence class and origin domain collapse into one inspectable cluster.

Remaining gap

Broader supplied evidence changes the matrix, but never turns the tool into a live verification or investment recommendation.

Super generates helpful tools and automates fact-checking across the internet proactively. If you enjoyed this tool, build your own with Super and share it with a friend.