Integrations

Supercharge Agenty with Relevance AI

Agenty is a cloud-based data extraction and automation platform that enables businesses to gather and process data from various online sources without coding.

Enhance your data collection with AI agents that can automatically analyze and act on extracted information.

Give your AI Agents Agenty Superpowers

Agenty excels at gathering and processing data from various online sources. Relevance AI transforms this data collection into intelligent action through AI agents that can analyze, interpret and automate complex workflows.

Intelligent Data Orchestration

The agent can seamlessly coordinate data extraction and analysis across multiple sources.

Real-time Insight Generation

The agent provides immediate access to the latest data trends and insights as they emerge.

Enhanced Data Interpretation

The agent can analyze and contextualize data, transforming raw information into actionable insights.

Tools

Equip AI Agents with the Agenty Tools they need

Relevance AI gives you access to Agenty's data extraction and automation capabilities within your AI agent workflows.

Security & Reliability

The integration leverages OAuth authentication to securely access your Agenty data, with Relevance AI managing API operations seamlessly in the background. The system handles GET, POST, PUT, PATCH, and DELETE requests automatically.

Built-in request validation and response handling ensure reliable data exchange between your workflows and the Agenty API endpoints.

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 Agenty + Relevance AI integration without writing code:
  • Configure API endpoints properly: Ensure correct base URLs and authentication parameters are set.
  • Validate OAuth setup: Double-check Agenty account permissions and API access tokens.
  • Structure API requests: Use appropriate HTTP methods and format request bodies correctly.
  • Handle responses effectively: Monitor response status codes and implement proper error handling.
  • Optimize request timing: Space out API calls to respect rate limits and prevent timeouts.