No source, no factual claim
17,896
sources stored
Candidate-specific claims must link to stored source metadata, quote/excerpt, date, confidence, and review status before they are treated as evidence.
Trust Center
This page explains methodology, privacy, AI use, correction workflows, and source quality with live evidence metrics. It is deliberately visible early, not buried in a footer like legal confetti.
17,896
sources stored
Candidate-specific claims must link to stored source metadata, quote/excerpt, date, confidence, and review status before they are treated as evidence.
15,915
claims needing review
Claims that need more evidence stay visible in the review queue instead of being smoothed over by partisan assumptions or model guesswork.
3,443
high-reliability sources
The trust layer tracks source reliability separately from candidate positions so weak evidence cannot quietly masquerade as strong evidence.
17,895
automated extractions
Automated extraction is labeled and counted; the assistant should explain stored claims and sources, not invent candidate facts from model memory.
Source reliability coverage
This rolls up stored sources by reliability tier and shows how many public claims each tier actually supports. Weak sources cannot hide in the soup.
Source freshness
Fresh is fetched in the last 30 days, aging is 31–180 days, stale is older. Counts come from stored source metadata and linked claims.
Fresh
3
sources • 0 claims
Aging
17893
sources • 18602 claims
Stale
0
sources • 0 claims
Not fetched
0
sources • 0 claims
Investigation queue
0 pending0
Awaiting source scrape
0
Manual triage
0
Invalid source
Flag unsupported, stale, or missing evidence without emailing a black hole. Revolutionary technology, apparently.