POST https://api.zatomic.ai/v1/prompts/scoring
Zatomic API
- Introduction
- Versioning
- Authentication
- Workspaces
- Status codes and errors
- Token usage
- Expanding objects
- OpenAPI spec
- Prompts
- The Prompt object
- Creating a prompt
- Updating a prompt
- Deleting a prompt
- Retrieving a prompt
- Retrieving all prompts
- Generating a prompt
- Versions
- The Version object
- Creating a version
- Updating a version
- Deleting a version
- Retrieving a version
- Retrieving all versions
- Retrieving a version score
- Calculating a version score
- Retrieving a version risk
- Analyzing a version risk
- Retrieving a version balance
- Analyzing a version balance
- Retrieving a version heatmap
- Generating a version heatmap
- Improving a version
- Scoring Criteria
- The Scoring Criteria object
- The Scoring Criterion object
- Creating scoring criteria
- Updating a scoring criteria
- Deleting a scoring criteria
- Retrieving a scoring criteria
- Retrieving all scoring criteria
- Generating scoring criteria
- Creating a scoring criterion
- Updating a scoring criterion
- Deleting a scoring criterion
- Retrieving a scoring criterion
- Scoring Criteria Results
- The Scoring Criteria Results object
- Scoring
- The Scoring object
- Calculating a prompt score
- Risk
- The Risk object
- Analyzing prompt risk
- Balance
- The Balance object
- Analyzing prompt balance
- Heatmaps
- The Heatmap object
- Generating a prompt heatmap
Calculating a prompt score
NOTE: This is the endpoint for scoring a prompt stored outside of Zatomic. For the endpoint to score a prompt stored within Zatomic, see this endoint.
Calculates the score for a prompt. A successful call returns a response that contains the scoring object.
The request requires the content for the prompt and an optional use_case. This endpoint uses the default system criteria to perform the scoring analysis.
You can also add a settings object to the request that specifies which AI model and provider you want to use for the scoring. If settings is given in the request, the model_source and model_id are required.
The model_source field specifies where the model comes from. When using models from your own AI providers, use the value provider; otherwise, use zatomic.
If provider_id is given and the provider is for Amazon Bedrock, then the aws_region is required and must be the region where the model is located.
You can find model IDs in the model catalog and provider IDs in your Zatomic account.
Request Properties | |||||||||
---|---|---|---|---|---|---|---|---|---|
content
string
|
The prompt content. | ||||||||
use_case
string, optional
|
The use case for the prompt. Recommended to improve analysis. | ||||||||
settings
object, optional
|
Properties for the object:
|
{
"content": "The prompt content.",
"use_case": "Use case for the prompt.",
"settings": {
"model_source": "zatomic|provider",
"model_id": "aim_2y2eRWI32fN0CB7a5wE7RuvhVMv"
"provider_id": "aap_2zFxUYe3RINnOr37VQwHDFF3gK3",
"aws_region": "us-east-1"
}
}