Sentiment Agent

The Sentiment Agent analyzes text and returns a sentiment classification. It costs 2 credits per execution.

When to Use

Use the Sentiment Agent when you need to automatically classify the tone of text content such as social media posts, comments, or messages. It is ideal for filtering workflows based on positive or negative sentiment.

Inputs

Input	Description
`body`	The text content to analyze for sentiment
`outputFormat`	The format of the result: `text`, `number`, or `boolean`

Output Formats

Text

Returns one of: positive, negative, or neutral

Number

Returns a value from -1 (most negative) to 1 (most positive)

Boolean

Returns true for positive sentiment, false for negative or neutral

Output Variables

Variable	Description
`result`	The sentiment analysis result in your chosen output format

Syntax Example

Reference the output in subsequent nodes:

{{sentimentAgent.result}}

Pro tip: Use the number output format when you need granular sentiment scoring, for example to rank posts from most positive to most negative.