Raycaster/ Eval

APEX-Agents · Investment Banking

World225_NB_02

Best published0/2Fail

APEX-Agents task World225_NB_02 in AI Agents for Tax Due Diligence. Compare dual-harness agent runs across models, 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
Gemini 3.1 Produal0/2Fail
GPT-5.4 minidual0/2Fail
GPT-5.4 nanodual0/2Fail
GPT-5.5dual0/2Fail

Grading rubric

Rubric criteria

Runs are graded against these criteria. Open a run for model-specific verdicts.

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

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