Sentiment Analysis

Read the sentiment of a text (positive, negative, neutral or mixed) with confidence scores and the sentiment towards each aspect.

Pay by wallet (x402) AI-generated sentiment-analyze

Example

Example answer

{
  "scores": {
    "neutral": 0.95,
    "negative": 0,
    "positive": 0.05
  },
  "aspects": [
    {
      "aspect": "purpose of the text",
      "sentiment": "neutral",
      "text_span": "test input for automated capability testing"
    }
  ],
  "summary": "The text is neutral in sentiment, describing a technical testing scenario without expressing any emotional valence.",
  "sentiment": "neutral",
  "confidence": 0.95,
  "detected_language": "English"
}

Inputs

Field	Type	Required	What it is
`text`	string	Yes	Text to analyze

Output fields

How reliably each field appears in a successful answer.

Field	Type	Appears
`scores`	object	Always (present in every successful answer)
`aspects`	array	Always (present in every successful answer)
`sentiment`	string	Always (present in every successful answer)
`confidence`	number	Always (present in every successful answer)

How to call it

The same tool through each route. MCP clients reach it through Strale’s server at https://api.strale.io/mcp; the call below is what the agent sends.

# Needs an API key. max_price_cents caps what this call may cost.
curl -X POST https://api.strale.io/v1/do \
  -H "Authorization: Bearer $STRALE_API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
    "capability_slug": "sentiment-analyze",
    "inputs": {
      "text": "This is a test input for automated capability testing."
    },
    "max_price_cents": 5
  }'

{
  "tool": "strale_execute",
  "arguments": {
    "slug": "sentiment-analyze",
    "inputs": {
      "text": "This is a test input for automated capability testing."
    },
    "max_price_cents": 5
  }
}

import { Strale } from "straleio";

const strale = new Strale({ apiKey: process.env.STRALE_API_KEY! });
const result = await strale.do({
  capability_slug: "sentiment-analyze",
  inputs: {
    "text": "This is a test input for automated capability testing."
  },
  max_price_cents: 5,
});

import os
from straleio import Strale, DoRequest

strale = Strale(api_key=os.environ["STRALE_API_KEY"])
result = strale.do(DoRequest(
    capability_slug="sentiment-analyze",
    inputs={
        "text": "This is a test input for automated capability testing.",
    },
    max_price_cents=5,
))

# No account. The first request answers 402 with the price in USDC;
# an x402 client pays it from your wallet and repeats the request.
curl -i 'https://api.strale.io/x402/v2/sentiment-analyze?text=This+is+a+test+input+for+automated+capability+testing.'

Limitations

Sarcasm and cultural expressions can be misread
AI-based sentiment — sarcasm, irony, and culturally-specific expressions may be misinterpreted
What to do instead: Use the confidence score in the response and flag low-confidence results for human review in critical applications