Find Similar Projects
Community
Find Similar Projects
Discover similar projects from the community based on building characteristics, scale, and other project attributes
GET
Find Similar Projects
Discover similar projects from the platform community based on sophisticated matching algorithms that consider building function, construction process, project scale, and other characteristics. This endpoint provides access to anonymized project data for benchmarking and comparative analysis.
This can occur when:
This endpoint requires admin permissions and that your organization
participates in community data sharing.
Path Parameters
The unique identifier of the project for which you want to find similar
community projects
Authentication & Authorization
- Required: Valid JWT token or API key
- Permissions: User must have admin authority within their organization
- Community Access: Organization must be a member of at least one active community
Response Structure
The response is organized by development type, with each development containing matched projects:Array of development categories with matched projects
Example Response
Similarity Scoring Algorithm
The similarity scoring considers multiple factors:Mandatory Matching (Weight: 40%)
- Building Function: Must match exactly (e.g., Educational, Residential)
- Construction Process: Must match exactly (e.g., New Build, Refurbishment)
- Projects without mandatory matches are excluded from results
Feature Similarity (Weight: 30%)
- Building Characteristics: Sustainable design, construction methods, specifications
- Site Characteristics: Urban/suburban location, access, constraints
- Design Features: Multi-storey, accessibility features, special requirements
Scale Similarity (Weight: 20%)
- Cost Comparison: Footprint cost and total cost relative to project scale
- Size Metrics: GIFA, site area, and other dimensional comparisons
- Proportional Analysis: Ratios and per-unit metrics
Location & Time Similarity (Weight: 10%)
- Regional Factors: Economic conditions, labor costs, material availability
- Market Timing: Construction market conditions at time of contract
- Geographic Proximity: Generalized location similarity
Data Privacy & Anonymization
All community data is fully anonymized:Anonymized Elements
- Organization Identity: Source organization never revealed
- Project Names: All identifying project information removed
- Client Information: No client or stakeholder data included
- Precise Location: Coordinates generalized to protect specific sites
Preserved Elements
- Building Characteristics: Function, process, features maintained
- Scale Information: Costs, areas, and dimensions preserved
- Regional Context: Generalized location for market comparison
- Timeline Data: Contract dates for market timing analysis
Use Cases
Benchmarking
- Compare project costs against similar community projects
- Validate budget estimates using real project data
- Understand cost variations across regions and time periods
Risk Assessment
- Identify potential risks based on similar project experiences
- Understand success factors from comparable developments
- Assess project feasibility against similar developments
Market Analysis
- Understand current market rates for similar projects
- Analyze trends in construction costs and methods
- Compare regional variations in project delivery
Error Responses
Bad Request - Invalid project ID or malformed request
Forbidden - User lacks admin permissions or community access
Not Found - Project not found or user lacks access
Empty Results
If no similar projects are found, the endpoint returns an empty array:- Project characteristics are highly unique
- Community data is limited for the project type
- Organization is not connected to relevant communities
Rate Limiting
This endpoint may be subject to rate limiting due to its computational intensity:- Rate Limit: 10 requests per minute per user
- Headers: Rate limit information included in response headers
- Retry: Use exponential backoff for rate-limited requests
Best Practices
Query Optimization
- Ensure project has complete characteristic data for better matching
- Regular project data updates improve matching accuracy
- Consider regional and temporal factors in analysis
Data Interpretation
- Use similarity scores as guidance, not absolute measures
- Consider the similarity report for context on matches and differences
- Factor in market conditions and regional variations
Community Participation
- Contributing data improves results for all community members
- Regular data synchronisation ensures current community database
- Quality project data leads to better similarity matching
Related Endpoints
- Community Sync - Trigger community data synchronisation
- Benchmark Reports - Enhanced with community data
- Project Data - Source project information

