AL3 Output Examples
This directory contains example outputs from parsing various ACORD AL3 policy files. These examples demonstrate the structure and format of Integra's output across different policy types.
[!NOTE] Source AL3 files are not included for proprietary and data sensitivity reasons. Only the parsed outputs are provided.
Available Examples
1. Commercial Auto Policy
Example of a commercial auto insurance policy with multiple vehicles and coverages.
Key Features: - Multiple vehicle groups - Commercial coverage types - Driver information - Policy-level data
2. Homeowners Policy
Example of a residential homeowners insurance policy.
Key Features: - Property details - Coverage limits - Deductibles - Personal property
3. Package Policy
Example of a commercial package policy combining multiple coverage types.
Key Features: - Multi-line coverage - Complex hierarchical structure - Multiple risk locations - Bundled coverages
4. Business Owners Policy
Example of a business owners policy (BOP) for commercial property.
Key Features: - Commercial property coverage - Business liability - Business interruption - Equipment breakdown
5. Workers Compensation
Example of a workers compensation policy.
Key Features: - Employee classification codes - Payroll information - State-specific coverage - Experience modification
Output Formats
Each example includes:
output.json- Complete hierarchical JSON output with all groups and fieldsoutput-metadata.json- File metadata including validation summaryREADME.md- Explanation of the example and key features
Field Naming Conventions
See Field Reference for detailed documentation on field naming and data types.
Quick Reference
| Field Suffix | Description | Example |
|---|---|---|
| (none) | Formatted value | "Effective Date": "2024-01-15" |
- Raw |
Original AL3 value | "Effective Date - Raw": "20240115" |
- Formatted |
Decoded description | "Coverage Type - Formatted": "Baseboard \| Basic" |
Using These Examples
Evaluating Output Structure
Browse the JSON files to understand: - How groups are organized hierarchically - Field naming conventions - Data type representations - Validation metadata
Integration Testing
Use these examples to: - Test your downstream systems - Validate JSON schema compatibility - Design database schemas - Build data transformation logic
API Testing
Example API request to generate similar output:
curl -X POST --data-binary "@your-policy.al3" \
-H "Accept: application/json" \
http://localhost:8080/v1/parse
Additional Resources
- API Guide - Complete API documentation
- Schema Reference - Detailed schema documentation
- Field Reference - Field naming and data types