Perplexity’s WANDR Benchmark Shows AI Research Agents Fail at Scale
Perplexity has released WANDR, an open benchmark for testing how well AI research agents handle high-volume, evidence-heavy knowledge work. Published July 14, it measures the kind of jobs people already hand to research agents, competitive mapping, due diligence, literature review, and talent sourcing, where the task is to build a large collection and support every entry with specific proof. Even at a high effort setting, the strongest system reaches just 0.363 soft F1 and 0.133 hard F1. In plain terms, the best research agent tested earns full credit for only about one in seven records it submits. Here is what […]














