AI Policy Data
AI Policy Data Structure
Version 1.0 | Effective: 2025-01-24
This page provides a human-readable version of our machine-readable AI policy data. The structured format is designed for programmatic access while maintaining clarity for human readers.
Allowed Activities
indexing public content
Indexing and crawling public content for search purposes
Conditions:
- •Must respect robots.txt
- •Rate limiting applies
generating summaries
Generating summaries and insights from publicly available information
Conditions:
- •Attribution required
- •No substantial reproduction
creating citations
Creating citations and references to our content with proper attribution
Conditions:
- •Must include source URL
- •Must mention Zamora.ai
ai training with attribution
Training AI models on publicly accessible content with attribution
Conditions:
- •Attribution required
- •Non-commercial research preferred
answering user questions
Answering user questions about Zamora.ai using our public information
Conditions:
- •Must cite source
- •No impersonation
JSON Schema Information
Data Structure
- • Version tracking for policy updates
- • Structured allowed/prohibited activities
- • Detailed rate limiting specifications
- • Attribution format and examples
- • Contact and enforcement information
Implementation Notes
- • JSON format for easy parsing
- • Semantic versioning for updates
- • ISO 8601 date formats
- • Structured conditions and consequences
- • Machine-readable rate limits