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.

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

Hallucinations (Confabulations) Document-Based Benchmark for RAG. Includes human-verified questions and answers.

build and benchmark deep research

Ranking LLMs on agentic tasks

Agentic AI research papers, benchmarks, frameworks, and tools curated across 24 domains.

Vivaria is METR's tool for running evaluations and conducting agent elicitation research.

one click to open multi AI sites ｜ 一键打开多个 AI 站点，查看 AI 结果

Statistical analysis methods for comparing prompt and model performance in LLM evaluations.

Evaluate & benchmark AI coding agents and Claude Code skills — sandboxed, reproducible YAML eval suites for Claude Code, Codex & Gemini, with A/B experiments and CI gates.

☑️ A curated list of tools, methods & platforms for evaluating AI reliability in real applications

Every Eval Ever is a shared schema and crowdsourced eval database. It defines a standardized metadata format for storing AI evaluation results — from leaderboard scrapes and research papers to local evaluation runs — so that results from different frameworks can be compared, reproduced, and reused.

A benchmark for AI-driven CAD generation and editing

Code scanner to check for issues in prompts and LLM calls

Causal Judge Evaluation: calibrate LLM-as-judge scores against oracle labels with valid uncertainty.

Comprehensive AI Model Evaluation Framework with advanced techniques including Temperature-Controlled Verdict Aggregation via Generalized Power Mean. Support for multiple LLM providers and 15+ evaluation metrics for RAG systems and AI agents.

Make your OpenClaw agents better, cheaper, and faster.

Bring Galileo powered eval workflows into Claude Code and Codex.

Benchmark evaluating LLMs on their ability to create and resist disinformation. Includes comprehensive testing across major models (Claude, GPT-4, Gemini, Llama, etc.) with standardized evaluation metrics.

FinMTM: A Multi-Turn Multimodal Benchmark for Financial Reasoning and Agent Evaluation