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Challenge

Build a Claude Agents SDK Revenue Auditor Powered by OpenAI o3

Manufacturing startups approaching IPO readiness must continuously reconcile cash flows against rapid revenue growth to ensure solvency. Construct an extended-thinking financial auditor using the Claude Agents SDK and OpenAI o3 reasoning models to perform deep cash burn verification and detect accounting anomalies.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Develop a financial audit agent using Claude Agents SDK and OpenAI o3 deep reasoning to audit balance sheets and forecast cash burn.

Delivery guide

How work is evaluated

Evaluation

Evaluates financial burn rate computation and working capital deficiency alerting.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

audit_verification

Ensures audit pass condition is met

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

runway_months

Calculated operational cash runway in months • target: 2.5 • range: 0-120

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Implement Claude Agents SDK extended thinking workflows for complex cash flow analysis

  • Incorporate OpenAI o3 model endpoints for advanced multi-step mathematical auditing

  • Extract structured key metrics from balance sheets and income statements

  • Formulate working capital risk warnings for corporate audit teams

Resources and assets

Reference links and supporting material

Dataset notes

Synthetic quarterly balance sheet disclosures and income statements of B2B industrial firms.

Challenge setup

Evaluates financial burn rate computation and working capital deficiency alerting.

Challenge input

JSON financial balance sheet and cash flow statement

Claude Agents SDK

Extended thinking agent framework

OpenAI o3

Deep mathematical reasoning and numerical audit verification

Evaluated output

JSON audit result with runway_months and cash_flow_flag

Evaluation checks
  • Ensures audit pass condition is met
  • Calculated operational cash runway in months • target: 2.5 • range: 0-120
Configured evaluation evidence
  • Benchmark: Financial Audit & Reasoning Benchmark
  • Runway Months target: 2.5
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • OpenAI o3 · Optional
  • Larridin · Optional
Policy Serving
  • o3 · Required

Evaluation contract

  • audit_verification · Weight 1
  • runway_months · Weight 1

Metrics

  • runway_months · Target 2.5

Benchmarks

  • Financial Audit & Reasoning Benchmark
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON financial balance sheet and cash flow statement

    Output: JSON audit result with runway_months and cash_flow_flag

    Execution harness: Python

Evaluation tools

  • Claude Agents SDK · Agent Framework
  • OpenAI o3 · Reasoning Model

Recipe freeze marker

No recipe freeze time is recorded.

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