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🧠 AI⚪ NeutralImportance 6/10

FinRetrieval: A Benchmark for Financial Data Retrieval by AI Agents

arXiv – CS AI|Eric Y. Kim, Jie Huang|
🤖AI Summary

Researchers introduced FinRetrieval, a benchmark testing AI agents' ability to retrieve financial data, evaluating 14 configurations across major providers. The study found that tool availability dramatically impacts performance, with Claude Opus achieving 90.8% accuracy using structured APIs versus only 19.8% with web search alone.

Key Takeaways
  • →FinRetrieval benchmark includes 500 financial retrieval questions with ground truth answers across 14 AI agent configurations.
  • →Tool availability is the dominant performance factor, with Claude Opus showing a 71 percentage point gap between API access and web search only.
  • →Reasoning mode benefits vary inversely with base capability, with OpenAI gaining 9.0pp versus Claude's 2.8pp improvement.
  • →Geographic performance gaps of 5.6pp favoring US data stem from fiscal year naming conventions rather than model limitations.
  • →The complete dataset, evaluation code, and tool traces are publicly released for further financial AI research.
Mentioned in AI
Companies
OpenAI→
Anthropic→
Models
ClaudeAnthropic
#ai-benchmark#financial-data#claude-opus#openai#data-retrieval#structured-apis#financial-research#ai-agents#performance-analysis#fintech
Read Original →via arXiv – CS AI
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