Abuse LPDB is a comprehensive database designed to track and manage abuse reports related to online content and services.
Enhance your abuse management capabilities with AI Agents that can automatically process reports, identify patterns, and take action in real-time.
Abuse LPDB provides centralized abuse tracking and reporting across digital platforms. Relevance AI transforms this data into intelligent action through AI Agents that can automatically analyze, categorize and respond to abuse incidents at scale.
Intelligent Incident Prioritization
The agent can automatically assess and prioritize abuse reports based on severity.
Proactive Trend Detection
Real-time monitoring enables the agent to identify emerging abuse trends before they escalate.
Rapid Response Orchestration
The agent facilitates swift responses to abuse incidents, minimizing potential damage.
Relevance AI gives you access to Abuse LPDB's comprehensive abuse management capabilities within your AI Agent 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:
- An Abuse LPDB account
- A Relevance AI account with API access enabled
- Authorization (secured via OAuth authentication—no manual credential storage)
Security & Reliability
The integration leverages secure API authentication through AbuseIPDB's infrastructure, enabling authorized workflows to safely report and query IP abuse data. Relevance AI manages the API endpoints and request methods seamlessly—handling rate limits, response validation, and data formatting automatically.
Built-in data normalization and error handling ensure consistent IP reporting and lookup operations, regardless of input format variations.
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 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.
