Wachete enables automated web monitoring and change detection, allowing you to track web pages for updates. By integrating with Relevance AI, you can enhance this functionality with AI-driven insights and notifications.
Wachete provides robust web monitoring and change detection capabilities. With Relevance AI, you can leverage these features to create intelligent AI Agents that proactively respond to changes and deliver insights.
Real-Time Digital Vigilance
The AI agent gains continuous awareness of web changes across multiple domains, enabling instant response to critical updates.
Pattern Recognition Mastery
Combines web monitoring data with AI analysis to identify subtle market trends and competitive shifts before they become obvious.
Predictive Market Intelligence
Leverages historical change patterns to anticipate future market movements and competitor actions.
Relevance AI seamlessly integrates with Wachete to enhance your automated web monitoring 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 Wachete integration with Relevance AI provides a powerful solution for automated web monitoring and change detection within your applications. By leveraging this integration, you can programmatically create, manage, and monitor web pages for changes, receiving timely notifications through webhooks or email alerts.
Key benefits include automated web monitoring, webhook and email notifications, single page and portal crawling capabilities, and seamless integration with your existing workflows.
To get started, ensure you have the required accounts and credentials, including a Wachete account with API access, a Relevance AI account, and OAuth credentials with the necessary permissions. Make sure your system meets the requirements, such as having Node.js 12.x or higher and an HTTPS-enabled endpoint for webhook notifications.
Installation is straightforward: simply install the Relevance AI SDK using npm, configure OAuth authentication, and initialize the client. With the client set up, you can create monitors to track changes on specific web pages, fetch monitor data, and delete monitors as needed.
In case you encounter issues, common problems include authentication errors, invalid monitor configurations, webhook notification issues, and rate limiting. Solutions are provided for each scenario, ensuring you can troubleshoot effectively. For additional support, refer to the official Wachete API documentation or contact support for assistance.
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.
Best Practices for Non-Technical Users
To get the most out of the Wachete + Relevance AI integration without writing code:
- Start with a clear monitoring strategy: Define the specific web pages and changes you want to track to avoid unnecessary alerts.
- Utilize notification settings: Set up email alerts or webhooks to ensure you receive timely updates on changes.
- Test your monitors: Create monitors on less critical pages first to validate your setup before scaling to more important sites.
- Review monitor configurations: Ensure all required fields (name, URL, jobType) are correctly filled to prevent errors.
- Monitor API usage: Keep an eye on rate limits and implement backoff strategies to avoid throttling issues.
