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Distressed Commercial Asset Restructuring Engine with Google ADK & Claude 4 Opus

Commercial real estate distress requires sophisticated capital stack restructuring and debt-for-equity swap modeling to free up cash flow. Build a multi-tier financial restructuring simulator using Google ADK with Claude 4 Opus to model debt haircut scenarios and equity dilution structures. Achieve under 2% variance against institutional private equity modeling benchmarks.

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What you are building

Develop an agentic debt restructuring analysis tool using Google ADK powered by Claude 4 Opus for commercial real estate recovery.

How work is evaluated

Evaluation

Evaluates financial accuracy of post-swap interest coverage calculation and final equity ownership distribution.

Datasets

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

How submissions are scored

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

dscr_accuracy

Checks DSCR within tolerance.

Binary check

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

Dimension 2

equity_pct_error

Absolute error on equity percentage allocation. • target: 0.01 • range: 0-1

Binary check

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

Learning goals

  • Initialize Google ADK (Agent Development Kit) agents targeting Claude 4 Opus

  • Model multi-tranche debt capital stacks (senior debt, mezzanine, preference equity)

  • Calculate post-restructuring Debt Service Coverage Ratios (DSCR) and equity value creation

  • Automate debt-for-equity term sheet negotiation reasoning

Resources

Dataset notes

Dataset of distressed commercial real estate debt structures, interest obligations, operating NOIs, and restructuring scenarios.

Challenge setup

Evaluates financial accuracy of post-swap interest coverage calculation and final equity ownership distribution.

Challenge input

JSON object with senior_debt, interest_rate, noi, debt_converted_to_equity

Google ADK

Mandatory Google ADK framework requirement.

Claude 4 Opus

Mandatory LLM model for financial reasoning.

Evaluated output

JSON object with post_swap_dscr, lender_equity_pct

Evaluation checks
  • Checks DSCR within tolerance.
  • Absolute error on equity percentage allocation. • target: 0.01 • range: 0-1
Configured evaluation evidence
  • Benchmark: RealEstateCapitalBench
  • Equity Pct Error target: 0.01
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Shows the first task, up to three tools, and up to three evidence items.

View technical recipe

Configured tools

Action Space
  • Google ADK · Required
  • Distyl · Optional
Policy Serving
  • Claude 4 Opus · Optional

Evaluation contract

  • dscr_accuracy · Weight 1
  • equity_pct_error · Weight 1

Metrics

  • equity_pct_error · Target 0.01

Benchmarks

  • RealEstateCapitalBench
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON object with senior_debt, interest_rate, noi, debt_converted_to_equity

    Output: JSON object with post_swap_dscr, lender_equity_pct

    Execution harness: Python

Evaluation tools

  • Google ADK · Agent Architecture
  • Claude 4 Opus · Reasoning LLM Model

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Distressed Commercial Asset Restructuring Engine with Google ADK & Claude 4 Opus