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.
Best Practices for Non-Technical Users
To get the most out of the AbuseIPDB + Relevance AI integration without writing code:
- Use accurate IP data: Submit complete and verified IP addresses for best reporting results.
- Leverage categories: Utilize AbuseIPDB's standardized abuse categories for consistent reporting.
- Maintain API limits: Stay within daily query limits to ensure continuous service availability.
- Enable caching: Cache frequent IP lookups to optimize performance and reduce API calls.
- Validate responses: Always check confidence scores before taking automated actions.
