Call Fire is a leading communication platform specializing in voice broadcasting, SMS messaging, and phone services.
Enhance your customer communications with AI Agents that can intelligently manage conversations across voice and text channels.
Call Fire enables powerful voice and SMS communication at scale. Relevance AI transforms this into intelligent conversations with AI Agents that can engage, respond, and adapt across channels.
Seamless Communication Orchestration
The agent effortlessly coordinates voice and SMS outreach for streamlined messaging.
Dynamic Engagement Mastery
The agent personalizes interactions based on real-time customer data to boost engagement.
Automated Response Efficiency
The agent handles inquiries instantly, reducing wait times and enhancing customer satisfaction.
Relevance AI gives you access to Call Fire's communication tools 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 Call Fire account
- A Relevance AI account with access to your project settings
- Authorization credentials (connect securely via API key—no sensitive data stored)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your CallFire data. Relevance AI handles API operations (like GET, POST, PUT, DELETE) in the background—so you don't have to worry about errors, formatting, or rate limits.
Built-in validation and header management ensure your communication workflows run smoothly, even when request formats vary.
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.
