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Challenge

Model Municipal Bond Financing with Vercel AI SDK and Claude 4 Sonnet

Financing post-disaster residential rebuilds through municipal bond issuance requires rigorous pro-forma debt coverage and cash flow modeling. Build a Vercel AI SDK application powered by Claude 4 Sonnet to generate municipal bond waterfall schedules with zero calculation errors across test scenarios.

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Challenge brief

What you are building

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

Develop a financial modeling platform using Vercel AI SDK and Claude 4 Sonnet to model municipal bond debt service structures for housing rebuild programs.

Delivery guide

How work is evaluated

Evaluation

Tests mathematical precision and covenant compliance flags of generated bond waterfall schedules.

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

Covenant Flag Test

Ensures DSCR covenant warnings trigger if DSCR drops below 1.20.

Binary check

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

Dimension 2

Financial Accuracy Error

Percentage variance from theoretical bond amortisation schedule. • target: 0 • range: 0-10

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

  • Use Vercel AI SDK streamText and generateObject functions to build structured financial responses.

  • Leverage Claude 4 Sonnet for precise financial debt service waterfall calculations.

  • Construct dynamic pro-forma cash flow tables for municipal bond repayment schedules.

Resources and assets

Reference links and supporting material

Dataset notes

Municipal debt issuance dataset featuring post-disaster rebuild metrics, interest rate schedules, and municipal underwriting guidelines.

How this agent runs

Tests mathematical precision and covenant compliance flags of generated bond waterfall schedules.

Challenge input

JSON with bond_principal, annual_coupon_rate, total_homes, average_home_price, term_years

AI SDK

Assigned Vercel framework for structured generation and streaming.

Claude 4 Sonnet

High-precision model selected for numerical and financial logic.

Evaluated output

JSON with annual_ds_payment, projected_dscr, full_payoff_year, covenant_met

Checks for
  • Ensures DSCR covenant warnings trigger if DSCR drops below 1.20.
  • Percentage variance from theoretical bond amortisation schedule. • target: 0 • range: 0-10
Proof of success
  • Benchmark: Financial_Modeling_Eval
  • Financial Accuracy Error target: 0
  • 1 public reference case
Runtime evidence
  • JavaScript execution harness
  • javascript sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • Vercel AI SDK · Optional
  • Martian · Optional
Policy Serving
  • Claude 4 Sonnet · Required
Orchestration
  • Vercel AI SDK · Optional

Evaluation contract

  • Covenant Flag Test · Weight 1
  • Financial Accuracy Error · Weight 1

Recipe state

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

Frequently Asked Questions about Model Municipal Bond Financing with Vercel AI SDK and Claude 4 Sonnet