The clustering, trust, and claim-consensus layer
for live events.

We watch live streams across YouTube, Twitch, and Kick, cluster them by real-world event, score every source by tier and reliability, and surface claim consensus and contradictions — as a single REST API.

Get a free dev key Try the playground Read the docs →

One call, full enrichment

Every event comes back with cluster size, source tier breakdown, verified-source count, severity, regional context, and a confidence score. No second call to enrich; no joining tables in your dashboard.

curl https://api.livetube.ai/v1/events/flagship \
  -H "Authorization: Bearer YOUR_KEY"

Featured event

See full intelligence →

HIDDENPoliticsMiddle East

Senate Hearing Hears Explosive New Epstein Files

Multiple news outlets are reporting that Iran is fortifying Kharg Island amid rising tensions with the United States. Some reports suggest the U.S. may be considering seizing the island, a key oil export hub for Iran. These developments come as other outlets are covering a Chinese foreign ministry press briefing and previewing an upcoming UFC fight.

Sources: 908
Verified: 102
Confidence: 90/100

What you get

Multi-source clustering

Ten chasers covering the same tornado outbreak come back as one event with ten sources, not ten redundant items.

Source-tier trust scoring

Three-tier source model (Major outlet / Verified / Default) plus per-channel reliability score updated by claim outcomes.

Claim consensus + contradictions

Claims are graded by how many independent sources confirm them. Contradictions are surfaced, not hidden.

Read the methodology for the full framework.

The clustering, trust, and claim-consensus layer for live events.