PERPLEXITY AI RELEASES WANDR: AN OPEN BENCHMARK EVALUATING RESEARCH AGENTS THAT MUST SEARCH WIDE AND DEEP

CONFIDENCE MEDIUM • 1 min read • 10 hrs ago • MarkTechPost • [src]

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According to MarkTechPost, Perplexity's WANDR is an open benchmark and evaluation harness with 500 evidence-heavy tasks.

The available RSS description adds: It tests whether research agents can discover many qualifying entities and back each one with cited, re-verifiable evidence.

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AT A GLANCE

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. The post Perplexity AI Releases WANDR: An Open Benchmark Evaluating Research Agents That Must Search Wide And Deep appeared first on MarkTechPost.

DETAILS FROM THE AVAILABLE COVERAGE: These attributed excerpts expand the brief so readers can take more information from the story without opening a second summary section.

MarkTechPost: Perplexity's WANDR is an open benchmark and evaluation harness with 500 evidence-heavy tasks.
MarkTechPost: It tests whether research agents can discover many qualifying entities and back each one with cited, re-verifiable evidence.
MarkTechPost: Perplexity Search as Code leads at 0.363 soft F1 and 0.133 hard F1.
MarkTechPost: The post Perplexity AI Releases WANDR: An Open Benchmark Evaluating Research Agents That Must Search Wide And Deep appeared first on MarkTechPost.

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KEY FACTS

Topic: TECH — the feed headline centres on PERPLEXITY, RELEASES, WANDR, OPEN, BENCHMARK.
Original feed: MarkTechPost.
Published: 19 Jul 2026, 08:19 UK.
Coverage checked: 1 distinct source and 0 closely matched related stories.

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19/07/2026, 08:19 PRIMARY FEED PERPLEXITY AI RELEASES WANDR: AN OPEN BENCHMARK EVALUATING RESEARCH AGENTS THAT MUST SEARCH WIDE AND DEEP (MarkTechPost • 10 hrs ago) [Story Intel]

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