Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds.
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.
[JMLR 2026] UQLM: A Python package for LLM hallucination detection using uncertainty quantification
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
Span-level grounding verification for RAG, code, and tool-grounded AI outputs.
Citation integrity as a CI gate: verify BibTeX references against Crossref & OpenAlex, catch hallucinated citations, get alerted when a cited paper is retracted.
Multi-agent pipeline that turns a research topic into a draft paper grounded in real literature, with citation hallucination detection and claim-support checking.
Zero-cost epistemic uncertainty quantification & hallucination detection for LLMs (90,000x faster than Semantic Entropy)
Literature-fetching & citation-auditing skill for LLM agents (Claude/Codex) — 讓 AI 引用經得起追問:找文獻、查核引用真偽與支持度、文獻支撐寫作,防幻覺引用。
Verify that an AI agent's on-chain claims are actually true. A claim-level groundedness checker for Solana / memecoin agents.