Surge AI Releases DAYJOB: Finance Benchmark for Long-Horizon Financial Agents

Surge AI has introduced DAYJOB: Finance, a benchmark designed to assess AI agents on long-horizon financial reasoning across corporate finance, banking, credit, investing, and real assets. The benchmark focuses on the 'messy reality' of knowledge work, requiring agents to handle realistic requests, complex environments, and end-to-end professional judgment. Key capabilities evaluated include tool use, planning, adaptability, groundedness, and common sense.

The benchmark includes complex scenarios such as evaluating store expansion proposals, where agents must calculate NPV and IRR while adhering to strict financial constraints like WACC ranges and debt covenants. Another task involves reviewing emerging markets fund reports, requiring agents to identify pricing errors, such as unit mismatches (cents vs. rand) and incorrect source usage. A third scenario tests operational cost analysis, comparing in-house versus outsourced check processing costs.

Surge AI also references other benchmarks in its ecosystem, including DAYJOB: Healthcare (clinical and operational workflows), Chartography (professional chart understanding), HANDBOOK.md (long-context agentic instruction following), Antidote (persuasive writing quality), and Hemingway-bench (writing style and originality). The provided text does not include specific model scores or leaderboard rankings for these benchmarks.