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Integrations

Supercharge 0CodeKit with Relevance AI

Google Forms is a versatile tool for creating and managing surveys and questionnaires. With Relevance AI, you can elevate your data collection process, turning responses into valuable insights through advanced AI-driven analysis.

Give your AI Agents 0CodeKit Superpowers

Google Forms simplifies the process of gathering information through customizable forms. Relevance AI amplifies this capability by enabling AI Agents to analyze responses in real-time, providing actionable insights and automating follow-up actions.

Automated Form Orchestration

Enables the agent to dynamically create, modify, and manage forms based on real-time requirements and user interactions

Intelligent Response Analysis

Processes form submissions through natural language understanding to extract meaningful insights and patterns automatically

Predictive Response Optimization

Leverages historical form data to suggest improvements and optimize question flow for better completion rates

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI seamlessly integrates with Google Forms, enhancing your workflows with intelligent data collection and analysis.

0codekit - Compress PDF
A tool for compressing PDF files by providing a URL to the source PDF and specifying the output filename, helping reduce file sizes while maintaining document quality
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
Name
0codekit API Call
Description
Make an authorized request to a 0codekit API
Parameters
["OAuth Authentication", "Multiple HTTP Methods (GET, POST, PUT, DELETE, PATCH)", "Custom Headers", "Request Body Support", "Response Status Tracking"]
Use Case
A software development team uses 0codekit API Call to automate their deployment process by making authenticated API requests to trigger builds and updates across their infrastructure. This integration streamlines their CI/CD pipeline by enabling secure, programmatic access to their development resources.

Security & Reliability

This integration enables seamless interaction between Google Forms and Relevance AI, allowing you to programmatically create, manage, and analyze form responses. Key benefits include automated form creation and management, real-time response collection and analysis, secure OAuth-based authentication, and streamlined form customization capabilities.

To get started, ensure you have a Google Workspace account with Forms access, OAuth credentials with pipedream-google-forms-read-write permissions, and a Relevance AI account. Make sure your system meets the requirements of a modern web browser, an internet connection, and API access enabled in the Google Cloud Console.

For authentication setup, use the following configuration:

const config = { oauth_account_id: "YOUR_GOOGLE_FORMS_OAUTH_ID", oauth_permission_type: "pipedream-google-forms-read-write" };

Next, set up the base configuration:

const baseConfig = { base_url: "https://www.googleapis.com", method: "POST", headers: { "Content-Type": "application/json" } };

To create a new form, use the following code:

const createForm = { oauth_account_id: "YOUR_OAUTH_ID", title: "My First Form", documentTitle: "Internal Form Document" };

For adding a text question, implement:

const addQuestion = { oauth_account_id: "YOUR_OAUTH_ID", formId: "FORM_ID", title: "Question Title", description: "Question Description", index: 0, paragraph: false };

To list form responses, use:

const getResponses = { oauth_account_id: "YOUR_OAUTH_ID", formId: "FORM_ID" };

Updating the form title can be done with:

const updateTitle = { oauth_account_id: "YOUR_OAUTH_ID", formId: "FORM_ID", title: "Updated Form Title" };

For fetching a specific response, use:

const getResponse = { oauth_account_id: "YOUR_OAUTH_ID", formId: "FORM_ID", formResponseId: "RESPONSE_ID" };

To get form details, implement:

const getForm = { oauth_account_id: "YOUR_OAUTH_ID", formId: "FORM_ID" };

Common issues include authentication errors, API rate limits, form creation failures, and response retrieval issues. Ensure OAuth credentials are properly configured, permissions are granted, and check if tokens need refreshing. Implement request throttling and monitor quota usage to handle rate limits effectively.

For error handling, use:

try { // API calls } catch (error) { if (error.status === 401) { // Handle authentication errors } else if (error.status === 403) { // Handle permission errors } }

To manage rate limiting, consider adding delays between requests:

const delay = ms => new Promise(resolve => setTimeout(resolve, ms)); async function makeRequest() { await delay(100); // Make API call }

Validation of form input can be done as follows:

function validateFormInput(input) { if (!input.title || input.title.length > 1000) { throw new Error("Invalid title length"); } }

For further assistance, refer to the Google Forms API Documentation, OAuth 2.0 Configuration Guide, Rate Limiting Guidelines, and Error Code Reference. Remember to replace placeholder values (YOUR_OAUTH_ID, FORM_ID, etc.) with actual credentials and IDs when implementing the integration.

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 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.