Historical text captured from the original source on 2026-09-06. That is a capture date, not an observation date. These earlier claims are preserved for review, may be stale or incorrect, and should not be copied as current facts. The corrected comparison above takes precedence.
Voidly vs Freedom House — Real-Time Censorship Data API
How Voidly compares to Freedom House. Both organizations track internet freedom — Freedom House publishes annual narrative reports, Voidly delivers real-time machine-readable data. Honest comparison.
Freedom House writes the annual report. Voidly publishes the live data feed. They complement each other.
Voidly does not replace Freedom House analysis. We respect their methodology and recommend their reports for qualitative scoring and narrative context.
Original comparison rows
Original: what Freedom House does well
Freedom House is the gold standard for qualitative country-level analysis of internet freedom. Their annual "Freedom on the Net" report has been published since 2009, with a network of independent in-country researchers, lawyers, and activists scoring 70+ countries across 21 questions on access, content limits, and user-rights violations. The methodology is transparent, peer-reviewed, and widely cited by US Congressional hearings, EU policy work, the UN Human Rights Council, and major newsrooms. When journalists need a single authoritative score for "how free is the internet in country X this year," Freedom House is the answer. Their geopolitical narrative analysis — connecting censorship events to political context — is something no automated system can replicate.
Original: what Voidly does differently
Voidly operates at a different frequency and granularity. Where Freedom House publishes once per year, Voidly ingests new measurements every 6 hours. Where Freedom House scores at the country level, Voidly tracks 7,500+ individual tracked incidents with evidence permalinks down to the domain, ASN, and test type. Our data is machine-readable (free CC BY 4.0 JSON, RSS, BibTeX), and queryable via REST API and MCP server — so AI agents, dashboards, and research pipelines can consume it directly. We use ML (GradientBoosting, leave-country-out MEAN F1 0.71 — 0.63 on the 61 countries with n≥30) to classify network-level events into structured incidents with confidence scores. We do not produce narrative country reports; we produce the evidence layer those narratives can cite.
Original: when to use which
Writing a Freedom on the Net country chapter
Use Freedom House methodology and scoring. Cite Voidly incidents to ground specific factual claims (e.g. "Twitter was blocked from 2026-02-10 to 2026-02-14, evidence: IR-2026-0142").
Building an AI agent that monitors censorship
Use Voidly. Freedom House does not have an API or MCP server. Voidly provides real-time alerts, webhooks, and 84 MCP tools.
Filing a UN Special Rapporteur submission
Cite both. Freedom House for the annual country score and human-rights framing. Voidly for the day-precise incident evidence with hash IDs and permalinks.
Reporting on a specific shutdown event
Voidly for the network-level evidence (DNS poisoning, TLS resets, ASN-specific outages). Freedom House for political context if relevant to the country profile.
Academic survey of internet freedom over time
Freedom House for cross-country longitudinal scoring. Voidly historical archive (1.6M records, 10 years) for measurement-level trends.
Original: together better
These are complementary tools, not competitors. A serious researcher writing about internet freedom in Iran should cite Freedom House for the annual scoring and political context, and Voidly for the day-by-day evidence supporting specific claims. Freedom House's analysts are humans interpreting events; Voidly's pipeline is machines measuring them. Both are needed.
The old page’s final CTA described all data/ML/forecast reads as free without a key, applied one CC BY license, and described a handful of metered Voidpay endpoints. Current access, source licensing and Pay releases must be checked separately; that text was not a universal capability or pricing guarantee.
Complete historical comparison ↗