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Agent name
Melbourne Property Arbitrage Detector

What the agent does
This agent helps families and investors identify "Education-Value" hotspots in the Melbourne property market. By navigating the relationships between school performance (ATAR scores) and real-world property prices, it identifies "Efficiency Gaps"—suburbs where public school outcomes rival elite private schools but property entry prices remain accessible. It can answer complex queries about house sizes (rooms), budget constraints, and school types, while explicitly showing the "Chain of Thought" logic it uses to traverse the graph.

What data or graph it’s grounded in

A high-fidelity knowledge graph of the Melbourne property and education landscape, modeled using a Hub-and-Spoke architecture.

  • Nodes:

    • :Property: Includes price, number of rooms/area, and address.
    • :School: Includes ATAR scores, sector (Public/Private/Selective), and annual fees.
    • :Suburb: Acts as the central hub connecting properties to their respective school zones.

  • Relationships:

    • (Property)-[:LOCATED_IN]->(Suburb)
    • (School)-[:ZONED_FOR]->(Suburb)

Example question
I have a budget of $2M and need at least 4 bedrooms. Which suburbs have top-tier public schools (ATAR > 75) where I can avoid paying private school fees?

Example response and reasoning

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Filter Properties: Identifies :Property nodes where price <= 1500000 and rooms >= 4.

  1. Traverse to Suburb: Follows the [:LOCATED_IN] relationship to identify the candidate :Suburb hubs.
  2. Cross-Reference Schools: Follows the [:ZONED_FOR] relationship from those suburbs to find :School nodes where sector = "Public" and atar > 85.
  3. Calculate Arbitrage: Compares the median property price in that zone against the cost of private school fees stored in neighboring nodes to determine the "Efficiency Score."
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