# Verify disinformation in text

**Endpoint**: POST /v1/deepverify

**Request Example** 

```bash
curl -X POST "https://api.factagora.com/v1/deepverify/disinformation" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "text": "AI models generate completely unbiased results in all cases."
}'
```

**Response Example**

```json
{
  "verified": false,
  "confidence_score": 0.2,
  "disinformation_tags": ["bias_detected", "inaccuracy"],
  "message": "The claim contains bias and has a low confidence score."
}
```

**Parameters** 

* **test**(string): The input text you want to verify for disinformation. 

Response Fields

* **verified** (boolean): Indicates whether the text was verified as truthful. 
* **confidence\_score** (float): A confidence score from 0 to 1 indicating the certainty of the verification. 
* **disinformation\_tags** (array): Tags indicating detected issues such as bias, factual inaccuracies, or unsupported claims. 
* **message** (string): A summary of the verification result.

{% openapi src="/files/neTZaawoargtAsCAb1zn" path="/reference-check" method="post" %}
[openapi.json](https://3895833266-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FkWsCIh2qIdjTUWuQ62ro%2Fuploads%2F1vzo7991Una5Kbtz9IN1%2Fopenapi.json?alt=media\&token=28d73fb8-acb6-4277-b8eb-c4a83db42b00)
{% endopenapi %}

{% openapi src="/files/neTZaawoargtAsCAb1zn" path="/answer-check" method="post" %}
[openapi.json](https://3895833266-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FkWsCIh2qIdjTUWuQ62ro%2Fuploads%2F1vzo7991Una5Kbtz9IN1%2Fopenapi.json?alt=media\&token=28d73fb8-acb6-4277-b8eb-c4a83db42b00)
{% endopenapi %}

{% openapi src="/files/neTZaawoargtAsCAb1zn" path="/fact-check" method="post" %}
[openapi.json](https://3895833266-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FkWsCIh2qIdjTUWuQ62ro%2Fuploads%2F1vzo7991Una5Kbtz9IN1%2Fopenapi.json?alt=media\&token=28d73fb8-acb6-4277-b8eb-c4a83db42b00)
{% endopenapi %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://factagora.gitbook.io/deepverify/api-reference/verify-disinformation-in-text.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.