Journalist toolkit

Citable numbers (updated every 15 min)

Source: /data/incidents/stats (CC BY 4.0). Numbers update live; this page is cached 15 min.

Embeddable widgets

Drop these iframes into a story or blog post. CSP-safe, responsive, no JS required on your end.

<iframe src="https://voidly.ai/embed/atlas/ticker" width="100%" height="120" style="border:0" loading="lazy"></iframe>

<iframe src="https://voidly.ai/embed/atlas/country/ir" width="100%" height="220" style="border:0" loading="lazy"></iframe>

<iframe src="https://voidly.ai/embed/globe" width="100%" height="400" style="border:0" loading="lazy"></iframe>

RSS / Atom / JSON feeds

• RSS — latest incidentshttps://api.voidly.ai/data/incidents/feed.rss
• Atom — latest incidentshttps://api.voidly.ai/data/incidents/feed.atom
• JSON Feed (1.1) — latest incidentshttps://api.voidly.ai/data/incidents/feed.json
• Delta feed (incremental sync, query ?since=...)https://api.voidly.ai/data/incidents/delta?since=2026-05-01T00:00:00Z

Citation templates

Every individual incident has its own citable URL with automatic BibTeX, RIS, and plain-text formats at/v1/atlas/cite/{incident-id}. For citing the dataset as a whole:

@misc{voidly-atlas-2026,
  title  = {Voidly Atlas: Real-time Internet Censorship Index},
  author = {Voidly},
  year   = {2026},
  url    = {https://voidly.ai/atlas},
  note   = {CC BY 4.0}
}

TY  - DATA
TI  - Voidly Atlas: Real-time Internet Censorship Index
AU  - Voidly
PY  - 2026
UR  - https://voidly.ai/atlas
ER  -

Voidly. (2026). Voidly Atlas: Real-time Internet Censorship Index. Retrieved from https://voidly.ai/atlas (CC BY 4.0).

Model transparency

Every Voidly ML model exposes a public /info endpoint with training date, evaluation metrics, feature importance, and honest caveats. The model changelog page stitches them.

• /atlas/transparency — single-page honesty dashboard: every /info endpoint inline with training date, LOCO metrics, top features, and caveats
• /atlas/changelog — every deployed model + version + LOCO metrics
• /atlas/models — model registry with transparency endpoints
• /methodology — how we measure censorship + how the ML works
• /sentinel/backtest — historical forecast vs observed (predicted-vs-real scatter)
• /sentinel/calibration — live reliability diagram + ACI online calibration state
• /atlas/findings — editorial deep-dives, including HONEST negative ML results (v3.4 regime-cluster, v3.5 TabPFN — both archived, neither promoted)

Where to dig deeper

• Recent changes (daily journalist dashboard)
  /atlas/recent-changes
• Per-country forecast (e.g. Iran)
  /atlas/forecast/ir
• Multi-horizon forecast (1d/7d/30d)
  /atlas/multi-horizon
• Case studies
  /atlas/case-studies
• Atlas Score v2 (A-F grades)
  /atlas/score-v2
• Election risk
  /atlas/elections
• Cost of shutdown calculator
  /atlas/cost-of-shutdown
• State of Censorship 2026
  /atlas/state-of-censorship-2026
• API docs
  /api-docs
• Press / brand assets
  /press
• Open data downloads
  /data
• llms.txt (AI crawler index)
  /llms.txt

Contact for interviews + corrections