# Your first API request

```markup
// Some code
```

{% tabs %}
{% tab title="cURL" %}
The example below uses our API Pro endpoint <https://api.deepverify.ai>. If you're an API Free user, remember to update your requests to use <https://api-free.deepverify.ai> instead.

{% code title="Example Request" %}

```sh
curl -X POST 'https://api.deepverify.ai/v2/fact-check' \
--header 'Authorization: DeepVerify-Auth-Key [yourAuthKey]' \
--header 'Content-Type: application/json' \
--data '{
  "text": [
    "Hello, world!"
  ],
  "domain_name": "US Health Care Policy"
}'
```

{% endcode %}

{% code title="Example Response" %}

```shell
{
  "verified_results": [
    {
      "detected_domain_name": "Korean Legal Opinion",
      "text": "Hallo, Welt!"
    }
  ]
}
```

{% endcode %}

{% endtab %}

{% tab title="HTTP Request" %}

{% endtab %}

{% tab title="Python" %}
P
{% endtab %}

{% tab title="Java " %}

{% endtab %}

{% tab title="Node.js" %}
The example below uses our API Pro endpoint <https://api.deepverify.ai>. If you're an API Free user, remember to update your requests to use <https://api-free.deepverify.ai> instead.

{% code title="Example Request" %}

```sh
curl -X POST 'https://api.deepl.com/v2/translate' \
--header 'Authorization: DeepL-Auth-Key [yourAuthKey]' \
--header 'Content-Type: application/json' \
--data '{
  "text": [
    "Hello, world!"
  ],
  "target_lang": "DE"
}'
```

{% endcode %}

{% code title="Example Response" %}

```sh
{
  "translations": [
    {
      "detected_source_language": "EN",
      "text": "Hallo, Welt!"
    }
  ]
}
```

{% endcode %}

{% endtab %}
{% endtabs %}


---

# 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/getting-started/your-first-api-request.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.