POST https://api.zatomic.ai/v1/prompts/heatmap
Zatomic API
- Overview
- Versioning
- Authentication
- Workspaces
- Status Codes and Errors
- Token Usage
- Expanding Objects
- OpenAPI Spec
- Changelog
- Projects
- The Project Object
- Create Project
- Update Project
- Delete Project
- Retrieve Project
- Retrieve All Projects
- Prompts
- The Prompt Object
- Create Prompt
- Update Prompt
- Delete Prompt
- Retrieve Prompt
- Retrieve All Prompts
- Generate Prompt
- Versions
- The Version Object
- Create Version
- Update Version
- Delete Version
- Retrieve Version
- Retrieve All Versions
- Calculate Version Score
- Retrieve Version Score
- Generate Version Heatmap
- Retrieve Version Heatmap
- Analyze Version Balance
- Retrieve Version Balance
- Analyze Version Risk
- Retrieve Version Risk
- Improve Version
- Scoring Criteria
- The Scoring Criteria Object
- The Scoring Criterion Object
- Create Scoring Criteria
- Update Scoring Criteria
- Delete Scoring Criteria
- Retrieve Scoring Criteria
- Retrieve All Scoring Criteria
- Generate Scoring Criteria
- Create Scoring Criterion
- Update Scoring Criterion
- Delete Scoring Criterion
- Retrieve Scoring Criterion
- Scoring Criteria Results
- The Scoring Criteria Results Object
- Scoring
- The Scoring Object
- Calculate Prompt Score
- Heatmaps
- The Heatmap Object
- Generate Prompt Heatmap
- Balance
- The Balance Object
- Analyze Prompt Balance
- Risk
- The Risk Object
- Analyze Prompt Risk
Heatmaps
Heatmaps allow you to visualize prompt phrases that the AI model gave most (or least) of its attention. Using prompt heatmaps through the API gives you the raw data for you to render heatmap visualizations in other ways.
Generating heatmap data can be performed and retrieved on individual prompt versions using their specific heatmap endpoints. You can also generate heatmap data for prompts without a version stored in the system by using the non-version specific endpoint.
When a prompt heatmap is generated, phrases are broken down into meaningful phrases and assigned a score based on how much attention the AI model gave the phrase. Those attention scores are then assigned a corresponding color level.
| Attention Score | Color Level |
|---|---|
| 1 | very-light |
| 2 | light |
| 3 | medium |
| 4 | dark |
| 5 | very-dark |
Endpoints