# 🏆 Build a Tiny Aura Agent Community Challenge

**URL:** <https://community.neo4j.com/t/build-a-tiny-aura-agent-community-challenge/76498>\
**Category:** Random: Challenges, Polls, Fun Banter\
**Created:** [February 5, 2026, 1:33pm UTC](https://community.neo4j.com/t/build-a-tiny-aura-agent-community-challenge/76498 "2026-02-05T13:33:49Z")\
**Posts on this page:** 1\
**Showing post:** 11

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**Author:** ![paras.sitoula](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/paras.sitoula/32/29298_2.png) [@paras.sitoula](https://community.neo4j.com/u/paras.sitoula)\
**Post date:** [February 12, 2026, 4:23am UTC](https://community.neo4j.com/t/build-a-tiny-aura-agent-community-challenge/76498/11 "2026-02-12T04:23:40Z")

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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:**

- **Relationships:**

**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**

 ![image](https://us1.discourse-cdn.com/flex021/uploads/neo4jcommunity/original/3X/f/6/f6ce5305de49b65eb35d0c0b91807a582bcc7fde.png)

**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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_[View the full topic](https://community.neo4j.com/t/build-a-tiny-aura-agent-community-challenge/76498)._