Score Text

🔗Demo Link: https://chakor-plugin-demo-6.bubbleapps.io/version-test/score_text

🔗Demo Link: https://bubble.io/page?id=chakor-plugin-demo-6&test_plugin=1739353625194x897240544927547400_current&tab=Design&name=score_text&type=page

This plugin integrates API League’s Score Text API, allowing you to analyze text for readability, skimmability, interestingness, style, and sentiment. It provides both Data API Calls (for fetching data) and Action API Calls (for performing actions in workflows).

1. Install the plugin in your Bubble app.
   
2. Navigate to Plugins → Select this plugin → Enter your API Key (Get it from API League).
   
3. Ensure your API Key is active for all API calls.
   

• Type: Data & Action
  
• Description: Analyzes the text and returns various readability, skimmability, interestingness, and style metrics.
  
• Parameters:
  
  • text
    : The text to be analyzed
    
• Returned Fields:
  
  • number_of_words
    : Total word count
    
  • number_of_sentences
    : Total sentence count
    
  • readability
    :
    
    • total_score
      : Overall readability score (out of 10)
      
    • total_possible
      : Maximum possible readability score
      
    • forcast
      : Forcast readability score
      
    • flesch
      : Flesch readability score
      
    • smog
      : SMOG readability score
      
    • ari
      : Automated Readability Index
      
    • lix
      : LIX readability score
      
    • kincaid
      : Flesch-Kincaid readability score
      
    • fog
      : Gunning Fog Index
      
    • coleman_liau
      : Coleman-Liau readability score
      
    • reading_time_seconds
      : Estimated reading time in seconds
      
  • skimmability
    :
    
    • total_score
      : Overall skimmability score (out of 10)
      
    • total_possible
      : Maximum possible skimmability score
      
    • highlighted_word_ratio_score
      : Score for highlighted words (value, max possible)
      
    • bullet_point_ratio_score
      : Score for bullet points (value, max possible)
      
    • paragraph_headline_ratio_score
      : Score for paragraph headlines (value, max possible)
      
    • image_score
      : Score for images (value, max possible)
      
    • video_score
      : Score for videos (value, max possible)
      
    • paragraph_score
      : Score for paragraph structure (value, max possible)
      
  • interestingness
    :
    
    • total_score
      : Overall interestingness score (out of 10)
      
    • total_possible
      : Maximum possible interestingness score
      
    • google_hits_score
      : Score based on Google search hits (value, max possible)
      
    • link_score
      : Score based on links (value, max possible)
      
    • quote_score
      : Score based on quoted text (value, max possible)
      
    • title_rating_score
      : Score based on title rating (value, max possible)
      
    • length_score
      : Score based on text length (value, max possible)
      
  • style
    :
    
    • total_score
      : Overall style score (out of 10)
      
    • total_possible
      : Maximum possible style score
      
    • abbreviation_score
      : Score based on abbreviation usage (value, max possible)
      
    • style_score
      : Score based on writing style (value, max possible)
      
    • spelling_score
      : Score based on spelling accuracy (value, max possible)
      
  • total_score
    : Final aggregated score across all metrics
    

• Data Calls: Use in text elements or repeating groups to display readability, skimmability, and other analysis results.
  
• Action Calls: Use in workflows to analyze text dynamically and trigger actions based on scores.