v2
OpenAPI 3.0.02026-08-051996591.2 MBList hallucination correctors
Lists the available hallucination correctors. These models detect and correct hallucinations in AI-generated content. The platform provides these models as part of its broader hallucination evaluation framework. The Hallucination Correctors endpoint uses these models to propose factual corrections to summaries and other generative outputs.
Use this endpoint to inspect available correctors, filter results, and choose which hallucination corrector to reference in downstream workflows or evaluation pipelines.
Query parameters
A regular expression applied to the name and description fields. Use this to return only hallucination correctors that match specific keywords or naming conventions.
The maximum number of hallucination correctors to return in the list. Defaults to 10. Range is between 1 and 100.
The opaque cursor returned in metadata.page_key of the previous response. Omit it to fetch the first page.
Headers
The platform makes a best effort to complete the request in the specified seconds, or it times out.
The platform makes a best effort to complete the request in the specified milliseconds, or it times out.
Response
The response includes a list of available correctors and a page_key for pagination.
Example response
{
"hallucination_correctors": [
{
"id": "hcm_520721853",
"name": "vhc-small-1.0",
"description": "Basic model for hallucination correction in AI-generated text.",
"enabled": true
}
],
"metadata": {
"page_key": "eyJvZmZzZXQiOjF9"
}
}