Perplexity AI Releases WANDR: An Open Benchmark Evaluating Research Agents That Must Search Wide And Deep
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Perplexity's WANDR is an open benchmark and evaluation harness with 500 evidence-heavy tasks. It tests whether research agents can discover many qualifying entities and back each one with cited, re-verifiable evidence. Perplexity Search as Code leads at 0.363 soft F1 and 0.133 hard F1.
1Key Takeaways
- Perplexity's WANDR is an open benchmark and evaluation harness with 500 evidence-heavy tasks.
- It tests whether research agents can discover many qualifying entities and back each one with cited, re-verifiable evidence.
- Perplexity Search as Code leads at 0.363 soft F1 and 0.133 hard F1.
2AIWedia Score
7.6/10
Solid update — useful context for the AI space
Based on source trust, recency, category impact, and story depth.
3Why it matters
New model releases change what is possible for builders, researchers, and everyday AI users. MarkTechPost reports that perplexity's WANDR is an open benchmark and evaluation harness with 500 evidence-heavy tasks.
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