Claude Agents SDK Urban Land Tender Bidding Assistant
Urban development authorities release prime land tender sites with complex zoning, plot ratio, and usage guidelines. Construct an autonomous land tender evaluation agent using Claude Agents SDK to calculate gross floor area, identify land use constraints, and estimate tender bids.
What you are building
The core problem, expected build, and operating context for this challenge.
Build an urban planning and tender evaluation agent using Claude Agents SDK to analyze Singapore URA land sales announcements.
How work is evaluated
Evaluates land tender metrics calculations and bid valuation accuracy.
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.
gfa_math_validation
Ensures max_gfa_sqm equals site_area_sqm * gross_plot_ratio exactly.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
bid_valuation_error
Percentage error between calculated residual land value and ground truth valuation. • target: 0.01 • range: 0-0.1
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 Claude Agents SDK with custom tool bindings for urban planning geometry
Parse site area, plot ratio, and allowable gross floor area (GFA) from URA releases
Enforce zoning overlay rules and transit-oriented development (TOD) requirements
Generate automated tender bid recommendation models based on land rate benchmarks
Reference links and supporting material
Official media releases and land site specifications published by Singapore Urban Redevelopment Authority (URA).
How this agent runs
Evaluates land tender metrics calculations and bid valuation accuracy.
Challenge input
JSON with site_name, site_area_sqm, gross_plot_ratio, benchmark_psm_gfa
Claude Agents SDK
Provides Anthropic agent tool abstractions and extended thinking capabilities.
Evaluated output
JSON with max_gfa_sqm, estimated_tender_bid_sgd, zoning_status
- Ensures max_gfa_sqm equals site_area_sqm * gross_plot_ratio exactly.
- Percentage error between calculated residual land value and ground truth valuation. • target: 0.01 • range:...
- Benchmark: UrbanPlanningTenderBench
- Bid Valuation Error target: 0.01
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- RAI · Required
- Resemble AI · Optional
- Larridin · Optional
Evaluation contract
- gfa_math_validation · Weight 1
- bid_valuation_error · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.