Challenge

Municipal Debt Housing Recovery Underwriting Agent with Claude SDK

Municipal bond financing for disaster housing requires multi-factor wildfire risk and bond debt service evaluation. Build a Claude Agents SDK system with extended thinking to analyze bond prospectuses and rebuilding schedules, delivering full risk-adjusted municipal yield profiles.

Business OperationsHosted by Vera
Challenge brief

What you are building

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

Construct an autonomous underwriting assistant using Claude Agents SDK featuring extended thinking and tool use for debt coverage validation.

Delivery guide

How work is evaluated

Evaluation

Evaluates accuracy of bond debt service coverage calculation under wildfire delay stress testing.

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

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

dscr_stress_test

Stressed DSCR must be strictly less than base DSCR when delay > 0

Binary check

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

Dimension 2

underwriting_precision

Accuracy of debt service computations against benchmark bond models • target: 0.96 • 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

What you should walk away with

  • Deploy a Claude Agents SDK agent utilizing extended thinking capabilities.

  • Parse municipal bond offering prospectuses and disaster rebuilding risk disclosures.

  • Model debt service coverage ratios (DSCR) under insurance payout lag scenarios.

  • Synthesize risk-adjusted yield profiles with step-by-step reasoning logs.

Resources and assets

Reference links and supporting material

Dataset notes

Synthetic municipal bond prospectus disclosures, disaster insurance payout schedules, and home rebuilding timelines.

How this agent runs

Evaluates accuracy of bond debt service coverage calculation under wildfire delay stress testing.

Challenge input

JSON containing bond_issuance_amount, coupon_rate, annual_repayment_cap, insurance_delay_months

Claude Agents SDK

Framework assignment for Anthropic agent development.

Evaluated output

JSON with base_dscr, stressed_dscr, default_risk_flag boolean

Checks for
  • Stressed DSCR must be strictly less than base DSCR when delay > 0
  • Accuracy of debt service computations against benchmark bond models • target: 0.96 • range: 0-1
Proof of success
  • Benchmark: Claude-Finance-Bench
  • Underwriting Precision target: 0.96
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • Aim · Required
  • Weights & Biases · Optional
  • Ellipsis · Optional

Evaluation contract

  • dscr_stress_test · Weight 1
  • underwriting_precision · Weight 1

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

Frequently Asked Questions about Municipal Debt Housing Recovery Underwriting Agent with Claude SDK