Suburban Land Assemblage Underwriter with AutoGen and Cognee Knowledge Graphs
Faith-based institutional capital is executing long-horizon suburban land plays requiring complex parcel ownership graph mapping. Build an AutoGen multi-agent system combined with Cognee graph memory to automatically identify optimal land assemblage targets with 92% relational accuracy.
What you are building
The core problem, expected build, and operating context for this challenge.
Construct an AutoGen agent network backed by Cognee dynamic knowledge graph memory to evaluate contiguous suburban parcels and compute yield-adjusted land acquisition strategies.
How work is evaluated
Evaluates AutoGen and Cognee output on suburban parcel group selection and total assemblage yield calculation.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Cluster Continuity Check
Verifies that returned parcel cluster contains valid contiguous parcels.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
acreage_calculation_accuracy
Percentage accuracy of summed total acreage across assembled parcels • target: 1 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Implement AutoGen agents (ParcelAnalyst, ZoningAdvisor, FinancialUnderwriter) collaborating in a group chat.
Leverage Cognee to vectorize land registry records and build graph relations between adjacent parcels.
Calculate aggregated acreage, assembly premium cost models, and target IRR.
Generate automated acquisition proposals for long-horizon capital deployment.
Reference links and supporting material
Dataset of 60 suburban land parcel networks with topological adjacency matrices, current tax assessed values, zoning designations, and acquisition cost histories.
How this agent runs
Evaluates AutoGen and Cognee output on suburban parcel group selection and total assemblage yield calculation.
Challenge input
JSON list of parcel objects with acreage, zoning, asking_price, and adjacency_list
AutoGen
Mandatory framework for multi-agent group conversation orchestration.
Cognee
Required memory tool for extracting and querying topological land graphs.
Evaluated output
JSON with contiguous_cluster_ids, total_acreage, total_estimated_cost, and calculated_irr
- Verifies that returned parcel cluster contains valid contiguous parcels.
- Percentage accuracy of summed total acreage across assembled parcels • target: 1 • range: 0-1
- Benchmark: Multi-Agent Graph Reasoning Benchmark
- Acreage Calculation Accuracy target: 1
- 1 public reference case
- Python execution harness
- Python sandbox
View technical recipe
Configured tools
- Cognee · Required
- AutoGen · Optional
- Traceloop · Optional
Evaluation contract
- Cluster Continuity Check · Weight 1
- acreage_calculation_accuracy · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.