Public evaluation

Affordability Stress Calculation

Evaluation is based on the agent's ability to accurately calculate housing cost burdens and the successful integration of the voice interface.

Evaluation type

task based

Challenge

Voice-Enabled Affordability Stress-Test Agent

Difficulty

Intermediate

Rigor

Unspecified

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Evaluation overview

How the linked challenge is judged: tasks, benchmarks, and criteria count.

Tasks

Benchmarks

Criteria

Task templates

Inputs and expected outputs.

Task 1

Affordability Stress Calculation

Given a metro area and a target mortgage rate, calculate the monthly payment and affordability index.

Input format

CSV data snippet from Zillow (ZHVI) and a target interest rate

Output format

Float representing the monthly payment

Linked challenge

Voice-Enabled Affordability Stress-Test Agent

Design an autonomous 'Market Advisor' agent using the OpenAI Agents SDK that performs affordability stress tests for different metros. The agent will analyze Zillow Observed Rent Index (ZORI), Zillow Home Value Index (ZHVI), and Redfin market temperature data (like inventory and price drops). You will integrate ElevenLabs to provide a high-quality, conversational voice interface that allows users to ask questions like 'How much would a 2% interest rate hike impact affordability in Austin?' The agent must identify rental-market anomalies where rent growth exceeds income growth or price drops are spiking unusually. By combining OpenAI's function-calling capabilities with real-world real estate metrics, the agent will simulate 'stress scenarios' (e.g., rising mortgage rates or unemployment) and communicate the impact via natural, synthesized speech. You will focus on building robust tools that fetch CSV data from Zillow and Redfin and calculate the housing cost burden for local residents.

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