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Reproduce Claude's agentic search benchmark scores in the Messages API Jun 2026 • Evals Tools Build a Messages API harness that reproduces published DeepSearchQA and BrowseComp scores, using programmatic tool calling, server-side compaction, and task budgets.

This cookbook demonstrates how to reproduce Claude's published agentic search benchmark scores (DeepSearchQA, BrowseComp) using the Messages API with programmatic tool calling, server-side compaction, and task budgets. The key is proper harness configuration—API parameters that become critical for agents running 30+ tool calls across hundreds of thousands of tokens. By following this guide, you'll build an agentic search loop that matches Claude's official benchmark performance and understand why each configuration choice matters for long-horizon tasks.

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Jul 1, 2026