The Veracity engine measures how accurately AI models represent source web pages during grounded generation by calculating a fidelity score based on survived, lost, and distorted facts using Gemini's url_context tool.

flowchart TD
    subgraph Inputs
        SRC[Source Web Page]
        RSP[AI Response Segments]
    end

    subgraph VeracityEngine[Veracity Engine]
        V_PARSE[Fact Extraction & Matching]
        
        subgraph ClaimBuckets[Claim Categorization]
            SURV[Survived Facts]
            LOST[Lost Facts]
            DIST[Distorted Facts]
        end
    end

    SCORE[Aggregate Fidelity Score]

    SRC --> V_PARSE
    RSP --> V_PARSE
    V_PARSE --> SURV
    V_PARSE --> LOST
    V_PARSE --> DIST
    SURV --> SCORE
    LOST --> SCORE
    DIST --> SCORE