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Challenge

Sale-Leaseback Valuation & Credit Monitor Workflow with Mastra AI

Institutional real estate buyers are rapidly deploying capital into corporate sale-leaseback transactions. Build an automated sale-leaseback underwriting agent using Mastra AI (TypeScript) to evaluate tenant corporate credit risk and master lease capitalization yields with sub-second execution speeds.

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Challenge brief

What you are building

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

Construct a Mastra AI TypeScript workflow with built-in memory and tool execution to model tenant credit ratings, lease escalations, and property residual values.

Delivery guide

How work is evaluated

Evaluation

Evaluates Mastra AI workflow output accuracy on sale-leaseback purchase prices, cap rates, and rent coverage metrics.

Datasets

Shared data for this challenge

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

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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

Deal Approval Classification

Verifies correct approval tier based on rent coverage >= 3.0x and cap rate threshold.

Binary check

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

Dimension 2

coverage_ratio_mae

Mean Absolute Error of initial rent coverage ratio calculation • 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

What you should walk away with

  • Configure Mastra AI agent workflows with step dependencies in TypeScript.

  • Parse corporate tenant financial health indicators (fixed-charge coverage ratio, default probability).

  • Calculate sale-leaseback capitalization rate, initial rent coverage, and terminal asset valuation.

  • Persist underwriting evaluations in Mastra integrated storage.

Resources and assets

Reference links and supporting material

Dataset notes

Dataset of 30 corporate sale-leaseback property transactions detailing tenant financial statements, master lease terms, property appraisals, and capitalization rates.

How this agent runs

Evaluates Mastra AI workflow output accuracy on sale-leaseback purchase prices, cap rates, and rent coverage metrics.

Challenge input

JSON containing tenant_ebitda, annual_proposed_rent, property_appraisal, lease_term_years, and annual_escalation_rate

Mastra AI

Mandatory TypeScript agent framework for structured step workflows.

Evaluated output

JSON with initial_rent_coverage, cap_rate, total_lease_npv, and deal_approval_tier

Checks for
  • Verifies correct approval tier based on rent coverage >= 3.0x and cap rate threshold.
  • Mean Absolute Error of initial rent coverage ratio calculation • target: 0.01 • range: 0-1
Proof of success
  • Benchmark: CRE Deal Underwriting Benchmark
  • Coverage Ratio Mae target: 0.01
  • 1 public reference case
Runtime evidence
  • JavaScript execution harness
  • Javascript sandbox
View technical recipe

Configured tools

Action Space
  • Mastra AI · Required
  • AutoKeras · Optional
  • Synthflow · Optional
Orchestration
  • Mastra AI · Required

Evaluation contract

  • Deal Approval Classification · Weight 1
  • coverage_ratio_mae · Weight 1

Recipe state

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

Frequently Asked Questions about Sale-Leaseback Valuation & Credit Monitor Workflow with Mastra AI