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APEX-Agents · Investment Banking

World225_NB_02

0/2Fail

APEX-Agents task World225_NB_02 in AI Agents for Tax Due Diligence. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.

AI Agents for Tax Due DiligenceInvestment Banking World 225Dual harnessGrader: rubric
task_bd332a76d3a04d26906ab104d628bcf5
Investment Banking World 225
message_in_console
4 models · dual config

Task prompt

What the agent was asked to do

Using the REIT model, assess the downside REIT scenario for Golden Everest if data center REIT multiples compress 30% during a longer than expected conversion period of 12 months. Reply to me in here with a message which states the expected price in 12 months of Golden Everest in this downside scenario and the expected total return of the stock over that period. Round all numbers to 2 decimal points. Assumptions: 1. Stock price will be calculated off of 2026 expected earnings 2. Dividends are not re-invested 3. Only half of the REIT premium (post-compression) vs C-Corps will be realized over the 12 months 4. No change in net debt

Published trajectories

Agent runs on this task

Curated dual-harness runs (parsed + original sandbox). Best scored run per model.

ModelHarnessScoreResultLinks
GPT-5.5showcasedual0/2Fail
Gemini 3.1 Produal0/2Fail
GPT-5.4 minidual0/2Fail
GPT-5.4 nanodual0/2Fail

Grading rubric

Criteria and grader verdict (showcase run)

  1. States the stock price in 12 months in the downside scenario is $83.62

    Fail

    Evidence: <TEXT_RESPONSE> states “the expected Golden Everest price in 12 months in this downside scenario is $87.98.” Assessment: The criterion requires stating the stock price is $83.62; the response gives $87.98, so it fails.

  2. States the total return over 12 months in the downside scenario is 101.46%

    Fail

    Evidence: <TEXT_RESPONSE> states “the expected total return over that period is 117.43%.” Assessment: The criterion requires stating the total return is 101.46%; the response gives 117.43%, so it fails.