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New LiveSearch benchmark tests financial AI agents on real-time data

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced LiveSearch, a novel benchmark designed to evaluate financial search agents by ensuring the timeliness of their answers. Unlike traditional benchmarks that use static answers, LiveSearch stores questions as executable code that queries professional financial data services in real-time. This approach incentivizes agents to use tools and perform analysis to find current information, rather than relying on memorized or outdated responses. The benchmark's design automatically updates answers daily, revealing dynamic shifts in data that aggregate accuracy metrics might obscure. AI

IMPACT This benchmark could drive the development of more capable financial AI agents that can reliably access and interpret real-time data.

RANK_REASON Research paper introducing a new benchmark for AI agents. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New LiveSearch benchmark tests financial AI agents on real-time data

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13 / 100
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Research paper introducing a new benchmark for AI agents. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sinuo Wang, Wentao Zhao, Jiacheng Lu, Rui Sun, Beidi Luan, Qiming Shi, Jing Li, Daxin Jiang, Zuo Bai ·

    LiveSearch: Questions as Executable Verifier Code for a Live Benchmark of Professional-Source Financial Search Agents

    arXiv:2610.37166v1 Announce Type: new Abstract: In finance, the answer that matters is usually the current one: prices, rates, and disclosures hold only as of a given day, so retrieving up-to-date facts is a core capability of a financial agent. Yet most financial benchmarks over…

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