Open-source honeypot telemetry providing query-ready adversary scan data for security and AI agents.
HoneyLabs
Open-source honeypot telemetry providing query-ready adversary scan data for security and AI agents.
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What it does
HoneyLabs offers a live dataset of adversary scans, fingerprints, and probe payloads collected from internet-facing honeypot sensors. Users can query this data for free per-IP lookups, access it via an MCP API for AI agents like Claude and Cursor, or use a JSON-RPC HTTP interface. The platform provides 90 days of historical data, allowing engineers to investigate security events and enrich threat intelligence with real-time insights.
Who it helps
Security engineers, threat researchers, AI developers building security tools, and anyone needing real-time adversary intelligence to enhance their defensive posture or automate threat analysis.
Why it's interesting
HoneyLabs provides a valuable, real-time feed of adversary activity, which is crucial for modern cybersecurity. Its open-source foundation for honeypots and explicit API support for AI agents position it well for emerging security workflows. The clear freemium model and developer-centric approach make it an accessible and practical tool for a critical need.
Card stats
AI-assisted scores estimated from public website information only.
FounderDeck estimate
Medium confidenceThis FounderDeck signal estimate of $500,000 reflects a polished, functional product addressing a clear pain point in cybersecurity with real-time data. The explicit freemium model, API for AI agents, and clear developer-focused approach demonstrate strong product-market fit potential. While specific pricing for advanced tiers and user traction are not public, the quality of execution and the valuable data service justify a solid valuation for an early-stage B2B SaaS.
Valuation date: 2026-06-05. Estimate generated from public signals.
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