Integrations

Supercharge TimeTonic with Relevance AI

TimeTonic is a NoCode platform designed for efficient business data management, enabling users to create custom applications and automate workflows. Enhance your data operations with Relevance AI's capabilities, empowering AI Agents to drive insights and actions.

Give your AI Agents TimeTonic Superpowers

TimeTonic provides a powerful NoCode platform for managing business data effortlessly. With Relevance AI, you can elevate this functionality by enabling intelligent workflows that adapt and respond to your data needs.

Dynamic Data Orchestration

The AI agent seamlessly coordinates and transforms complex data structures across TimeTonic's database views in real-time.

Intelligent Relationship Mapping

Creates sophisticated connections between data points, enhancing cross-referencing capabilities across multiple tables.

Proactive Insight Generation

Automatically identifies trends and anomalies in real-time, providing actionable business intelligence.

Tools

Equip AI Agents with the TimeTonic Tools they need

Relevance AI integrates seamlessly with TimeTonic, allowing you to harness its data management capabilities within your automated workflows.

TimeTonic - Search Rows
Enables searching through table rows in TimeTonic by specifying a field ID to search within a particular book and table, allowing for targeted data retrieval.
TimeTonic - Delete Row
Removes a specific row from a TimeTonic table by using the row's unique identifier, allowing for precise data deletion within the specified book and table.
TimeTonic - Update Row
Modifies existing row data in a TimeTonic table by targeting a specific row ID, enabling data updates while maintaining the row's position and relationships.
TimeTonic - Create Row
Adds a new row to a specified TimeTonic table within a book, allowing for the insertion of fresh data entries into the database structure.
Name
TimeTonic API Call
Description
Make an authorized request to a TimeTonic API
Parameters
["OAuth authentication", "HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers", "Request body support", "Response handling"]
Use Case
A project management team uses TimeTonic API calls to automatically sync task updates from their internal system to TimeTonic workspaces, ensuring real-time collaboration across teams. The integration enables seamless data flow by making authenticated API requests to create, update and retrieve workspace entries without manual intervention.
Quick Start

Connect TimeTonic to Relevance AI in minutes

Security & Reliability

The integration between TimeTonic and Relevance AI utilizes secure OAuth authentication, ensuring that only authorized workflows can access your TimeTonic data. Relevance AI manages API operations (such as Create, Read, Update, Delete) seamlessly in the background, allowing you to focus on your business processes without worrying about errors, formatting, or limits.

With built-in validation and type conversion, your workflows will operate smoothly, even when dealing with varying data formats. This integration empowers you to centralize information management, create custom collaborative business applications, and automate workflow processes efficiently.

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 TimeTonic + Relevance AI integration without writing code:
  • Start with a clean TimeTonic table: Use clear field names and consistent data formats to ensure smooth data management.
  • Utilize pre-built workflows: Relevance AI provides templates for creating, updating, or searching rows—perfect for quick implementation.
  • Connect carefully: Make sure to authorize the correct TimeTonic account and specify the right book and table during setup.
  • Test before scaling: Execute automations on sample data first to minimize the risk of widespread errors.
  • Monitor for rate limits: Implement batch operations and avoid excessive requests to prevent throttling issues.