Voidly vs OONI

OONI (Open Observatory of Network Interference) is the foundational organization for empirical internet censorship measurement. They have run a global probe network since 2012 with over 2.2 billion measurements collected from volunteers in 240+ countries. Their methodology is rigorous, peer-reviewed, fully open-source (Probe app, Explorer, all backend tools), and their MAT (Measurement Aggregation Toolkit) is the standard reference for academic researchers. The OONI Explorer is the canonical place to view raw test results — anyone can drill down to a specific measurement and see the exact DNS resolution, TCP handshake, and HTTP response captured at the moment of testing. OONI is a non-profit and their data is the bedrock that every serious censorship researcher (including Voidly) relies on.

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Voidly is an aggregation, classification, and indexing layer downstream of OONI. We ingest OONI's aggregation API every 6 hours alongside CensoredPlanet (Satellite + Hyperquack), IODA, Citizen Lab category mapping, and our own probe network. Where OONI publishes measurements, we publish incidents — clusters of measurements grouped into citable events with hash IDs (e.g. IR-2026-0142), ML-derived confidence scores, and structured evidence permalinks. We expose this as REST APIs, an MCP server, RSS feeds, BibTeX citations, and webhook subscriptions. We are optimized for AI agents and downstream applications; OONI is optimized for measurement integrity and researcher access. Different layers of the stack.

How we measure →API docs →