# Tesla Twitter Sentiment Analysis — Daily AI Report

**Use case:** 

Daily AI sentiment analysis of Tesla ($TSLA) on X/Twitter: scored sentiment, top narratives, key voices & crisis flags in one click. No scraping needed.

## Input

```json
{
  "queries": [
    "$TSLA"
  ],
  "timeframe": "24h",
  "includeNarratives": true,
  "includeKeyVoices": true
}
```

## Output

```json
{
  "query": {
    "label": "Query",
    "format": "text"
  },
  "sentimentScore": {
    "label": "Sentiment (-1..1)",
    "format": "number"
  },
  "sentimentLabel": {
    "label": "Label",
    "format": "text"
  },
  "confidence": {
    "label": "Confidence",
    "format": "number"
  },
  "narrativeVelocity": {
    "label": "Velocity (0-100)",
    "format": "number"
  },
  "topNarrative": {
    "label": "Top narrative",
    "format": "text"
  },
  "crisisFlag": {
    "label": "Crisis flag",
    "format": "boolean"
  },
  "analyzedAt": {
    "label": "Analyzed at",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [📈 Twitter Sentiment & Narrative Report](https://apify.com/sentimentalpha/x-sentiment-narrative-report) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sentimentalpha/x-sentiment-narrative-report) to learn more, explore other use cases, and run it yourself.