Sifter is a leading platform for streamlining data collection, analysis, and reporting for businesses.
Enhance your data insights with AI Agents that can automatically process information and generate actionable intelligence.


Sifter excels at gathering and processing data from multiple sources. Relevance AI transforms this data into intelligent action through AI Agents that can analyze, predict, and automate complex workflows.
Data Orchestration
The agent seamlessly coordinates data from multiple sources for comprehensive analysis.
Insight Generation
It autonomously generates actionable insights from complex datasets in real-time.
Predictive Analytics
It leverages historical data to forecast trends and inform proactive decision-making.
Relevance AI gives you access to Sifter's data collection and analytics capabilities within your AI-powered 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 uses secure OAuth authentication, ensuring only authorized workflows access your Sifter data. Relevance AI handles API operations (like GET, POST, PUT, DELETE) in the background—so you don't have to worry about authentication headers, request formatting, or API limits.
Built-in validation and path handling ensure your workflows run smoothly, even when making requests across different Sifter endpoints.
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.

To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.