# Sentiment Analyzer  (Deprecated)

#### Pricing

Requests made to the Sentiment Analysis API are billed. Prices are based on the number of characters sent to the service to be analyzed.

The pricing for API requests is as follows:

* **Per Request Cost**: 3 units base cost per request.

## This API analyzes the sentiment of a text

<mark style="color:green;">`POST`</mark> `https://api.autogon.ai/api/v1/services/sentiment-analysis/`

#### Headers

| Name                                           | Type   | Description      |
| ---------------------------------------------- | ------ | ---------------- |
| Content-Type<mark style="color:red;">\*</mark> | String | application/json |

#### Request Body

| Name                                   | Type   | Description         |
| -------------------------------------- | ------ | ------------------- |
| text<mark style="color:red;">\*</mark> | String | text to be analyzed |

{% tabs %}
{% tab title="200: OK " %}

```json
{
    "success": true,
    "data": {
        "documentSentiment": {
            "magnitude": 0.6,
            "score": -0.6
        },
        "language": "en",
        "sentences": [
            {
                "text": {
                    "content": "Bad apple",
                    "beginOffset": -1
                },
                "sentiment": {
                    "magnitude": 0.6,
                    "score": -0.6
                }
            }
        ]
    }
}
```

{% 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://docs.autogon.ai/autogon-qore/natural-language-ai/sentiment-analyzer-deprecated.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.
