Attribution Audit
pangram_attribution_auditAnalyze text for AI attribution, providing authorship scores and segment-level breakdowns to support editorial review and transparency audits.
Instructions
Analyze text for AI attribution using Pangram's attribution analysis API.
This tool provides transparency analysis for AI-assisted content, supporting editorial review and quality assurance workflows. It identifies authorship patterns and provides segment-level attribution breakdowns.
Analysis includes:
Overall authorship assessment
Average and maximum AI attribution scores
Breakdown of authorship patterns by segment
Segment-by-segment attribution analysis with confidence levels
Args:
text (string): The content to analyze. Must be at least 50 words for accurate analysis.
response_format ('markdown' | 'json'): Output format (default: 'markdown')
Returns:
Markdown: Formatted transparency report with authorship assessment and segment analysis
JSON: Structured data with all attribution metrics
Use cases:
Editorial review before publication
Transparency audits for AI-assisted content
Quality assurance for professional writing workflows
Attribution documentation for compliance requirements
Requires: PANGRAM_API_KEY environment variable to be set
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | The text content to analyze for AI detection. Minimum 50 words required. | |
| response_format | No | Output format: 'markdown' for human-readable or 'json' for structured data | markdown |