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APEX-Agents · Management Consulting

World132_SF_Task03

2/2Pass

APEX-Agents task World132_SF_Task03 in AI Agents for Financial Statement Analysis. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.

AI Agents for Financial Statement AnalysisManagement Consulting World 132Dual harnessGrader: rubric
task_3f5efb251f4c45199512b7e4085c7b50
Management Consulting World 132
message_in_console
5 models · dual config

Task prompt

What the agent was asked to do

What is the impact on the forecasted 2027 EBITDA in Brazil if we reallocate half of a 20% savings on ingredients towards increasing our marketing spend? We want to achieve a 10% bump in sales. If the result in Brazil is better than +4.583%, run the same scenario in Japan's forecast. Round all inputs, intermediate and final calculations to 4 decimal places. Return all your final outputs to me here as a message.

Published trajectories

Agent runs on this task

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

ModelHarnessScoreResultLinks
GPT-5.5showcasedual2/2Pass
Gemini 3.1 Produal2/2Pass
GPT-5.4dual0/2Fail
GPT-5.4 minidual1/2Fail
GPT-5.4 nanodual2/2Pass

Grading rubric

Criteria and grader verdict (showcase run)

  1. States that the forecast 2027 EBITDA in Brazil is -$5.7250M

    Pass

    Evidence: The response table lists Brazil “Revised EBITDA” as “-5.7250,” and the Brazil calculation also states “Revised EBITDA | -5.7250.” Assessment: The criterion asks whether it states the forecast 2027 EBITDA in Brazil is -$5.7250M; pass because the response clearly reports Brazil’s scenario EBITDA as -5.7250 million dollars.

  2. States that the forecast 2027 EBITDA in Japan is -$4.5580M

    Pass

    Evidence: The response table lists Japan “Revised EBITDA” as “-4.5580,” and the Japan calculation also states “Revised EBITDA | -4.5580.” Assessment: The criterion asks whether it states the forecast 2027 EBITDA in Japan is -$4.5580M; pass because the response clearly reports Japan’s scenario EBITDA as -4.5580 million dollars.