Integrations

Supercharge Coda with Relevance AI

Coda is a versatile platform that allows users to create and manage documents, tables, and data collaboratively. Enhance your Coda experience with Relevance AI, enabling smarter workflows and automated data-driven decisions.

Give your AI Agents Coda Superpowers

Coda empowers teams to create and manage documents and tables effortlessly. With Relevance AI, you can leverage AI Agents to automate complex tasks and derive insights from your data in real-time.

Dynamic Document Orchestration

Agent seamlessly creates, modifies, and organizes Coda documents in real-time based on evolving team needs

Workflow Automation Mastery

Agent leverages formula management and triggers to create sophisticated automated processes without human intervention

Cross-Document Intelligence

Agent maintains data consistency and updates across multiple documents through smart row operations and upserts

Tools

Equip AI Agents with the Coda Tools they need

Relevance AI seamlessly integrates with Coda to enhance your document workflows with intelligent data management.

Coda - Create Doc
Creates a new Coda document with customizable title and folder location, allowing teams to start fresh collaborative workspaces
Coda - Find Row
Searches and retrieves specific rows from a Coda table using custom queries, sorting options, and filtering capabilities
Coda - Find Row
Searches and retrieves specific rows from a Coda table using custom queries, sorting options, and filtering capabilities
Coda - List Columns
Retrieves a comprehensive list of columns from a specified Coda table, with options to show only visible columns
Coda - Get Row
Fetches a specific row from a Coda table using row ID, with options to customize the output format and column display
Coda - List Tables
Retrieves all tables from a Coda document with sorting options and filtering by table types
Coda - Create Rows
Adds new rows to a specified Coda table with options to control data parsing behavior
Name
Coda API Call
Description
Make an authorized request to a Coda API
Parameters
["OAuth authentication", "HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers", "Request body configuration", "Response handling"]
Use Case
A product team uses Coda API Call to automatically sync their project management data between Coda docs and their internal systems, enabling real-time updates of task statuses and team assignments without manual data entry.

Security & Reliability

The Coda integration leverages a robust REST API, allowing seamless interaction with your Coda documents, tables, and rows. This integration automates document creation, data management, and synchronization between Coda and your applications, ensuring efficient workflows.

With secure OAuth authentication, only authorized workflows can access your Coda data. The integration handles API operations (like creating documents, adding rows, and querying data) in the background, minimizing concerns about errors, formatting, or rate limits.

Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary. Additionally, the integration supports bulk operations and real-time data synchronization, enhancing your application's performance and reliability.

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 Coda + Relevance AI integration without writing code:
  • Start with a well-structured Coda document: Use clear section names and consistent data formats for tables and rows.
  • Utilize templates: Relevance AI provides pre-built workflows for creating, updating, or managing documents—perfect for quick setup.
  • Connect thoughtfully: Ensure you authorize the correct Coda account and document during the integration process.
  • Test before scaling: Execute automations on sample data first to prevent widespread issues.
  • Monitor for rate limits: Implement batch operations and avoid excessive requests to stay within API limits.