Integrations

Supercharge Lettria with Relevance AI

Lettria is a powerful integration platform that offers Natural Language Processing through a RESTful API, enabling developers to classify text and analyze sentiment. With Relevance AI, you can elevate your text processing capabilities by leveraging AI Agents to transform raw data into meaningful insights.

Give your AI Agents Lettria Superpowers

Lettria provides robust Natural Language Processing capabilities, allowing for advanced text classification and sentiment analysis. Relevance AI amplifies these features by enabling intelligent AI Agents to automate insights and actions based on your text data.

French Language Mastery

Empowers AI agents with native-level understanding and processing of French language nuances and context

Cultural Fluency

Understands and appropriately responds to French cultural references and communication styles

Semantic Intelligence

Enables deep comprehension of French text meaning, intent, and emotional undertones for more nuanced interactions

Tools

Equip AI Agents with the Lettria Tools they need

Relevance AI seamlessly integrates with Lettria to enhance your text analysis workflows.

Lettria - Classify Text
A natural language processing (NLP) tool that analyzes and classifies text content, enabling automated text categorization and sentiment analysis for more informed decision making
Name
Lettria API Call
Description
Make an authorized request to a Lettria API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A content marketing team uses Lettria API Call to automatically analyze customer feedback across multiple languages, enabling them to identify sentiment patterns and key topics in real-time. This helps them quickly adapt their content strategy based on authentic customer insights.
Quick Start

Connect Lettria to Relevance AI in minutes

What you’ll need

You don't need to be a developer to set up this integration. Follow this simple guide to get started:

  • A Relevance AI account
  • An Airtable account with access to the base and table you'd like to use
  • Authorization (you'll connect securely using OAuth—no sensitive info stored manually)

Security & Reliability

The Lettria integration leverages a robust RESTful API to provide advanced Natural Language Processing (NLP) capabilities, enabling developers to classify text, conduct sentiment analysis, and extract actionable insights from raw text data. This integration ensures secure OAuth-based authentication, allowing only authorized workflows to access your NLP functionalities.

With a simple REST API interface, you can easily implement text classification and analysis without worrying about complex setups. The integration handles API operations (like POST for text classification and GET for custom endpoints) seamlessly, ensuring that you can focus on deriving insights rather than managing errors or formatting issues.

Built-in validation checks and structured response formats guarantee that your workflows run efficiently, even when dealing with varying data formats. For a smooth integration experience, ensure that you have the necessary OAuth credentials and permissions configured correctly.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Lettria + Relevance AI integration without writing code:
  • Start with clear text data: Ensure your input text is well-structured and free of unnecessary formatting for optimal classification results.
  • Utilize pre-built workflows: Leverage Relevance AI's templates for text classification and sentiment analysis to streamline your integration process.
  • Configure OAuth carefully: Double-check your OAuth credentials and permissions to ensure seamless API access.
  • Test with sample data: Validate your API calls using sample text before deploying on live data to minimize errors.
  • Monitor API usage: Keep an eye on rate limits and implement error handling to manage API response errors effectively.