Verifies factual claims against live sources and returns a verdict, confidence score, and citations for any agent to use before stating uncertain facts.
Enables agents to verify claims with evidence-based truth scores and confidence levels by running a deterministic pipeline of evidence lanes and adversarial checks.
Enables agents to verify their own output mid-task by checking every claim against provided sources, returning supported, partial, unsupported, or contradicted verdicts with exact citations.
Universal Search-First Knowledge Acquisition Plugin for LLMs. Enables real-time web search and deep page browsing via MCP or CLI. Zero-cost, privacy-first, supports DuckDuckGo, Bing, Google, Brave, Wikipedia, Arxiv, YouTube, Reddit and more.
Evidence-backed web research for AI agents. Real-time search with cited claims, confidence scores, and compare mode showing raw LLM hallucination vs evidence-backed answers.
Enables per-claim citation verification for AI-generated text by fetching cited sources and judging whether they support the claim, with verdicts and evidence quotes.