Textgain is a leading text analytics platform specializing in natural language processing and sentiment analysis.
Enhance your text analysis capabilities with AI agents that can automatically extract insights and take action based on unstructured data.
Textgain delivers powerful natural language processing and sentiment analysis. Relevance AI transforms these insights into intelligent AI agents that can analyze, understand, and act on text data at scale.
Sentiment Mastery
Agents can accurately gauge customer emotions, enhancing interaction quality.
Dynamic Response Adaptation
Agents adjust responses based on real-time sentiment analysis, improving customer satisfaction.
Data-Driven Decision Support
Agents provide actionable insights that empower teams to make informed choices.
Relevance AI gives you access to Textgain's advanced text analytics capabilities within your AI agent workflows.
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 integration leverages secure OAuth authentication through Textgain's API, ensuring protected access to language analysis capabilities. Relevance AI manages all API operations seamlessly in the background—handling authentication headers, request formatting, and response processing automatically.
Built-in data validation and error handling ensure reliable text analysis workflows, even with varying content types and languages.
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.
Best Practices for Non-Technical Users
To get the most out of the Textgain + Relevance AI integration without writing code:
- Configure API authentication: Ensure proper OAuth setup with correct read-write permissions.
- Structure API requests: Use clear path parameters and consistent request formats.
- Handle responses properly: Monitor response status codes and parse JSON responses carefully.
- Validate input data: Ensure text content meets Textgain's API requirements before processing.
- Manage API limits: Implement appropriate request spacing to avoid hitting rate limits.
