video1.0<iframe src="https://www.loom.com/embed/8785a58ff0b74b7d83a906695d1c4712" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/8785a58ff0b74b7d83a906695d1c4712-95953a5d3b014e73.gif228.701This Loom explains how TruthLens AI verifies online claims using live web research. The presenter says TruthLens uses the U.com Research API to investigate a user-entered factual claim, then organizes results into supporting evidence, conflicting evidence, official confirmation, and a story timeline with an explainable confidence score. An example involving a rumor about Google acquiring something was assessed with 83% of evidence supporting it, but not 100%. Another example, “OpenAI is currently building its own smartphone,” was deemed misleading with an 88% misleading score, supported by supporting and official evidence. The system is connected through FASTAPI endpoints for live investigation.