Agent summary
Facts: Iraq: 30-day index score 5/100; 1,037 measurements in that score window. The sample does not establish a domain or service block verdict.
As of score observation: Unavailable. Score snapshot fetched: 2026-10-02T23:53:57.195Z. Fetch time is not the underlying measurement time. OONI source last fetched: ; this is a separate source fetch, not an observation time.
Sources: 2 distinct names (ioda, ooni) in 10 returned incident records, up to 10. Missing source lists: 0. This is not the score source count or independent corroboration.
Cite: Voidly Research. (n.d.). Iraq Internet Censorship Profile. https://voidly.ai/iq (accessed 2026-10-06).
Agent summary JSON · Hosted MCP endpoint: https://api.voidly.ai/mcp
Asia / Western Asia · IQ
A closer look at internet access.
The score, the signals, the source.
30-day index score
5/100
A dated sample-based score. Higher values indicate more interference in the index model.
Snapshot fetched
Editorial context
Iraq implements periodic internet restrictions during protests and civil unrest.
This context is curated and undated. The trend is an editorial label, not a computed recent movement.
Iraq implements periodic internet restrictions during protests and civil unrest.
Editorial text is preserved as source context. Product recommendations do not guarantee unrestricted access. The source tier may differ from the measured score because the two have different definitions.
Score window: 30 days. Snapshot fetched . Content first seen . Upstream serve-time . These timestamps do not date the all-time OONI observations.
All-time measurements accumulate from an older source file without an observation window or timestamp. The all-time blocked ratio is not the confidence-shrunk score. Zero counts and absent fields are kept distinct.
All-time measurement archive
No collection date or complete-country coverage claim is attached to this archive. Protocol fields can be incomplete and need not sum to the historical total.
Country incident records
ioda · IQ-2026-0392
6 source measurements · incident confidence 70.0%
IODA detected significant connectivity drop in Iraq. 6 critical alerts recorded.
ioda · IQ-2026-0391
15 source measurements · incident confidence 75.0%
IODA detected significant connectivity drop in Iraq. 15 critical alerts recorded.
ioda · IQ-2026-0390
3 source measurements · incident confidence 67.0%
IODA detected significant connectivity drop in Iraq. 3 critical alerts recorded.
ioda · IQ-2026-0389
17 source measurements · incident confidence 75.0%
IODA detected significant connectivity drop in Iraq. 17 critical alerts recorded.
ioda · IQ-2026-0388
17 source measurements · incident confidence 75.0%
IODA detected significant connectivity drop in Iraq. 17 critical alerts recorded.
ioda · IQ-2026-0386
1 source measurements · incident confidence 65.0%
IODA detected significant connectivity drop in Iraq. 1 critical alerts recorded.
ioda · IQ-2026-0385
4 source measurements · incident confidence 67.0%
IODA detected significant connectivity drop in Iraq. 4 critical alerts recorded.
ioda · IQ-2026-0384
1 source measurements · incident confidence 65.0%
IODA detected significant connectivity drop in Iraq. 1 critical alerts recorded.
ioda · IQ-2026-0383
1 source measurements · incident confidence 65.0%
IODA detected significant connectivity drop in Iraq. 1 critical alerts recorded.
Statuses come from each record; “active” is not inferred from severity or an absent end date. Incident confidence is a source field, not independent certainty that censorship occurred.
This is the source mix in the latest returned incident sample, not independent corroboration of the country score. A record can name multiple sources; the counts can overlap.
Dataset version: 2026.10.06. Malformed rows omitted: 0. All readable returned records appear above; each links to its complete evidence and citation page.
Measurement context
An anomaly is a measurement result requiring interpretation. These country API fields use a different basis from the dated, confidence-shrunk index score.
Names may be tests or services. Inclusion alone does not establish complete blocking.
Source generated: . This is a source timestamp, not proof that every underlying observation is current.
{
"@context": "https://schema.org",
"@type": "Country",
"name": "Iraq",
"identifier": "IQ",
"url": "https://voidly.ai/censorship-index/iq",
"additionalProperty": [
{
"@type": "PropertyValue",
"name": "Censorship Score",
"value": 5,
"description": "0-100 scale where 100 = total internet censorship"
},
{
"@type": "PropertyValue",
"name": "Anomaly Rate",
"value": 0.047866805411030174
},
{
"@type": "PropertyValue",
"name": "Measurement Count",
"value": 961
}
],
"data": {
"country": "IQ",
"name": "Iraq",
"flag": "🇮🇶",
"region": "Middle East",
"timestamp": "2026-10-06T10:59:49.668Z",
"status": "free",
"score": 5,
"categoryScores": {},
"blockedSites": [],
"affectedServices": [
"http_header_field_manipulation",
"http_invalid_request_line"
],
"voidlyProbes": {
"total": 0,
"successful": 0,
"blocked": 0
},
"ooni": {
"status": "normal",
"anomalyRate": 0.047866805411030174,
"confirmedRate": 0,
"measurementCount": 961,
"affectedServices": [
"http_header_field_manipulation",
"http_invalid_request_line"
],
"lastUpdated": "2026-10-06T09:16:43.230Z"
},
"activeIncidents": []
},
"dataSource": "live_ooni",
"source": "Voidly Global Censorship Index",
"lastUpdated": "2026-10-06T10:59:49.934Z"
}Quality measures evidence confidence, not censorship probability. A small or absent sample cannot establish country-wide access. Quality generated: .
Quality sourceCountry-origin probe records: Unavailable. Flagged in that sample: Unavailable (Unavailable).
Global core + community active nodes: 41. Core active nodes: 15. Global probes in the last 24 hours: 144,785. Network source updated: .
Global infrastructure totals do not prove that this country was tested from every location. A node’s reported status and country reflect network infrastructure, not national internet freedom.
No country-origin nodes were returned in this network response.
Model outlook
7-day event probability
Unavailable
A censorship or connectivity event within seven days of the model’s as-of date, relative to the country’s baseline. It does not predict an exact shutdown date or measure standing freedom.
Model: Unavailable
Model as-of date: Date unavailable
Source generated: Date unavailable. This is a source timestamp, not proof that every underlying observation is current.
Separate multi-horizon model. Each mark is the point estimate; its bar is the source’s 90% conformal interval.
Covered multi-horizon estimates are unavailable for this country. No fallback probabilities are substituted.
Per-horizon breakdownSource generated: Date unavailable. This is a source timestamp, not proof that every underlying observation is current.
Model evaluation and labels differ. Honest 7-day model · Multi-horizon evaluation. An API response date is not the date of the underlying training data.
Additional signals
Each source answers a different question. Missing signals stay visible.
Unavailable
Separate from the index score. A weighted signal composite; sparse evidence can pull it toward zero.
Source freshness is unknown.
Date unavailable
Score methodSource generated: Date unavailable. This is a source timestamp, not proof that every underlying observation is current.
5 median days
Scenario: a critical censorship incident in Iraq. This is not a timer for an existing incident.
Source interquartile range: 3–5 days.
Exploratory · source model is below its promotion threshold.
Model trained: . Censoring in training data: 78.4%.
Source generated: Date unavailable. This is a source timestamp, not proof that every underlying observation is current.
This read-only inference endpoint requires a POST request:
POST https://api.voidly.ai/v1/forecast/duration
Content-Type: application/json
{
"country": "IQ",
"severity": "critical",
"incident_type": "censorship"
}{
"country": "IQ",
"features_used": {
"continent_Africa": 0,
"continent_Americas": 0,
"continent_Asia": 1,
"continent_Europe": 0,
"continent_Oceania": 0,
"country_risk_tier": 2,
"first_seen_month": 10,
"first_seen_year": 2026,
"prior_shutdowns_count_24mo": 44,
"severity_critical": 1,
"severity_warning": 0,
"type_censorship": 1,
"type_mixed": 0
},
"honest_caveats": [
"model below promote floor (c=0.55, n=343) — treat as exploratory",
"censoring rate in training set: 78%"
],
"incident_type": "censorship",
"iqr_days": 2,
"median_days": 5,
"median_hours": 120,
"model": {
"censoring_rate": 0.7842565597667639,
"class": "RandomSurvivalForest",
"feature_names": [
"country_risk_tier",
"first_seen_year",
"first_seen_month",
"prior_shutdowns_count_24mo",
"continent_Africa",
"continent_Americas",
"continent_Asia",
"continent_Europe",
"continent_Oceania",
"severity_critical",
"severity_warning",
"type_censorship",
"type_mixed"
],
"name": "shutdown_duration_rsf_v1",
"trained_at": "2026-05-21T12:01:30.451711Z"
},
"model_c_index": 0.5455,
"n_training_samples": 343,
"p25_hours": 72,
"p75_hours": 120,
"promoted": false,
"severity": "critical",
"survival_curve_summary": [
{
"hours": 48,
"survival_prob": 0.9
},
{
"hours": 72,
"survival_prob": 0.75
},
{
"hours": 120,
"survival_prob": 0.5
},
{
"hours": 120,
"survival_prob": 0.25
},
{
"hours": 6216,
"survival_prob": 0.1
}
]
}61.1% source ranking score
Trigger attribution is probabilistic, not causal. Noisy-OR aggregation can overstate risk when triggers share a cause.
Horizon: 3 days. Source baseline: 13.1%.
Source generated: . This is a source timestamp, not proof that every underlying observation is current.
{
"attribution": [
{
"p_follow_3d": 0.3012,
"pair_coevents_365d": 13,
"same_auth_cluster": false,
"same_region": false,
"trigger": "RW",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0752,
"pair_coevents_365d": 211,
"same_auth_cluster": false,
"same_region": false,
"trigger": "PK",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0752,
"pair_coevents_365d": 220,
"same_auth_cluster": false,
"same_region": false,
"trigger": "RU",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0717,
"pair_coevents_365d": 126,
"same_auth_cluster": false,
"same_region": false,
"trigger": "UZ",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0715,
"pair_coevents_365d": 175,
"same_auth_cluster": false,
"same_region": false,
"trigger": "MM",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.068,
"pair_coevents_365d": 87,
"same_auth_cluster": false,
"same_region": false,
"trigger": "TZ",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0655,
"pair_coevents_365d": 93,
"same_auth_cluster": false,
"same_region": false,
"trigger": "KH",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0655,
"pair_coevents_365d": 110,
"same_auth_cluster": false,
"same_region": true,
"trigger": "OM",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0629,
"pair_coevents_365d": 71,
"same_auth_cluster": false,
"same_region": false,
"trigger": "CN",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0614,
"pair_coevents_365d": 88,
"same_auth_cluster": false,
"same_region": false,
"trigger": "CU",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0608,
"pair_coevents_365d": 199,
"same_auth_cluster": false,
"same_region": true,
"trigger": "EG",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0594,
"pair_coevents_365d": 94,
"same_auth_cluster": false,
"same_region": false,
"trigger": "BD",
"trigger_date": "2026-10-04T22:05:00"
},
{
"p_follow_3d": 0.0593,
"pair_coevents_365d": 160,
"same_auth_cluster": false,
"same_region": false,
"trigger": "BY",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0583,
"pair_coevents_365d": 211,
"same_auth_cluster": false,
"same_region": false,
"trigger": "AZ",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0576,
"pair_coevents_365d": 187,
"same_auth_cluster": false,
"same_region": true,
"trigger": "IR",
"trigger_date": "2026-10-05T00:00:00"
},
{
"p_follow_3d": 0.0492,
"pair_coevents_365d": 171,
"same_auth_cluster": false,
"same_region": true,
"trigger": "AE",
"trigger_date": "2026-10-05T00:00:00"
}
],
"base_prior_3d": 0.1308,
"base_rate_daily": 0.04361,
"country": "IQ",
"follower_events_30d": 2,
"generated_at": "2026-10-06T06:17:06.151464+00:00",
"honest_caveats": [
"Inherits contagion-chain v1 model uncertainty (primary horizon AUC ~0.67).",
"24-48h is a TIGHT window. Most observed contagion patterns are 3-7d. This endpoint uses the shortest supported horizon (3d) as the closest proxy.",
"A country on the watchlist does NOT mean it WILL block. The score is a relative ranking; absolute calibration of the underlying pairwise classifier is moderate (Brier ~0.14 at 3d).",
"Trigger attribution is probabilistic (per-pair model output), not causal. Two countries spiking around the same time can also reflect shared upstream outages, regional politics, or coincidence.",
"Noisy-OR aggregation assumes triggers act independently — this overestimates risk when multiple triggers share an underlying driver.",
"Base-rate adjustment subtracts (base_daily * horizon) to discount countries that block every day anyway. This is a heuristic, not a matched counterfactual.",
"With zero active triggers in the last 48h, watchlist is empty by design."
],
"horizon_days": 3,
"n_active_triggers": 16,
"noisy_or": 0.7414,
"rank": 13,
"score": 0.6106,
"status": "on_watchlist",
"trigger_window_hours": 48,
"underlying_model": {
"name": "contagion-chain-v1 (pairwise XGBoost)",
"primary_horizon_auc_h7": 0.6696949571962517,
"sidecar": "[internal path]"
}
}Similarity of measured blocking patterns, not governments or intent. Sparse feature coverage lowers confidence.
Source generated: . This is a source timestamp, not proof that every underlying observation is current.
Similarity here is BEHAVIORAL, not political. Two countries are near each other because they BLOCK in similar ways — comparable method mix, target categories and temporal shape — which does NOT imply comparable governments, laws or intent. A stable democracy with seasonal sports-piracy blocks can sit near an authoritarian state if their measured blocking footprints rhyme. Feature vectors are SPARSE for low-coverage countries (flagged sparse=true, <3 of 5 behavioral feature families populated) — their neighbors are dominated by regime/continent/cohort one-hots and should be read with low confidence. The 2D graph projection (UMAP or PCA) compresses a 32-dimensional space to 2 and loses information — use the cosine `neighbors` list, not pixel distance in the projection, for any quantitative claim.
{
"country": "IQ",
"generated_at": "2026-10-05T05:10:33.515715+00:00",
"honest_caveat": "Similarity here is BEHAVIORAL, not political. Two countries are near each other because they BLOCK in similar ways — comparable method mix, target categories and temporal shape — which does NOT imply comparable governments, laws or intent. A stable democracy with seasonal sports-piracy blocks can sit near an authoritarian state if their measured blocking footprints rhyme. Feature vectors are SPARSE for low-coverage countries (flagged sparse=true, <3 of 5 behavioral feature families populated) — their neighbors are dominated by regime/continent/cohort one-hots and should be read with low confidence. The 2D graph projection (UMAP or PCA) compresses a 32-dimensional space to 2 and loses information — use the cosine `neighbors` list, not pixel distance in the projection, for any quantitative claim.",
"method": "standardized-cosine + pca",
"nearest": [
{
"continent": "Asia",
"country": "KW",
"risk_tier": 3,
"similarity": 0.5357,
"sparse": false
},
{
"continent": "Asia",
"country": "ID",
"risk_tier": 3,
"similarity": 0.526,
"sparse": false
},
{
"continent": "Asia",
"country": "TR",
"risk_tier": 2,
"similarity": 0.4865,
"sparse": false
},
{
"continent": "Asia",
"country": "TH",
"risk_tier": 2,
"similarity": 0.4494,
"sparse": false
},
{
"continent": "Europe",
"country": "BY",
"risk_tier": 2,
"similarity": 0.4356,
"sparse": false
},
{
"continent": "Americas",
"country": "VE",
"risk_tier": 2,
"similarity": 0.4259,
"sparse": false
},
{
"continent": "Asia",
"country": "AE",
"risk_tier": 2,
"similarity": 0.3906,
"sparse": false
},
{
"continent": "Asia",
"country": "VN",
"risk_tier": 2,
"similarity": 0.3695,
"sparse": false
},
{
"continent": "Asia",
"country": "IR",
"risk_tier": 1,
"similarity": 0.3609,
"sparse": false
},
{
"continent": "Asia",
"country": "CN",
"risk_tier": 1,
"similarity": 0.3536,
"sparse": false
}
],
"query_meta": {
"continent": "Asia",
"country": "IQ",
"dtw_cohort": 2,
"evidence_count": 5992,
"feature_families_present": 5,
"feature_families_total": 5,
"risk_tier": 2,
"sparse": false
},
"version": "v1"
}Grades are source rubric categories. They do not independently establish deliberate blocking.
Grading rubricSource generated: Date unavailable. This is a source timestamp, not proof that every underlying observation is current.
{
"distribution": {
"A": 63,
"B": 53,
"C": 5,
"F": 1
},
"filters": {
"country": "IQ",
"incident_type": null
},
"rules": {
"A": "else",
"B": "n_sources >= 1 AND avg_confidence >= 0.7",
"C": "n_sources >= 2 AND n_domains >= 3",
"F": "duration_hours >= 24 AND n_sources >= 2"
},
"total": 124,
"ungraded": 2
}Tor
92.0% probe success · 125 probes · 30-day source window.
Probe success is an upper bound on real-user success. “Try first” is not a safety guarantee; results can become stale within hours.
Source verdict: works.
Source generated: . This is a source timestamp, not proof that every underlying observation is current.
{
"country_code": "IQ",
"coverage_note": "1 tool(s) cleared the try_first bar in IQ, 0 in fallback, 0 in avoid. Headline is the highest-ranked try_first tool.",
"do_not_share_card_without_caveats": true,
"endpoints": {
"info": "/v1/atlas/circumvention/info",
"leaderboard": "/v1/atlas/evasion/leaderboard",
"upstream_evasion_table": "/v1/atlas/evasion/IQ"
},
"generated_at": "2026-10-06T06:00:08.932040+00:00",
"headline_basis": "try_first",
"headline_recommendation": {
"category": "anonymity-network",
"confidence": 0.99,
"n_total_probes": 125,
"rank_score": 0.8735,
"success_rate": 0.92,
"tool_name": "Tor",
"tool_note": "Tor uses obfs4 by default. If obfs4 fails, switch to the Snowflake bridge from inside the Tor Browser settings. The OONI tor test does NOT differentiate transports, so this row is the aggregate.",
"tool_slug": "tor",
"verdict": "works"
},
"honest_caveats": [
"PROBE SUCCESS != REAL-USER SUCCESS. DPI vendors increasingly rate-limit real client traffic while letting OONI / Voidly synthetic measurement probes through. Success rates here are an UPPER BOUND on what a real user will see.",
"Recommendations can become stale within hours. Censorship adapts. If a try_first tool stops working, the next probe rotation (cron daily 06:00 UTC) will catch it but you will see it before we do.",
"'Try first' is NOT 'safe'. It means 'highest measured success rate, highest probe confidence.' Operational security (unique device, throwaway account, no SIM, no DNS leak, etc.) is the USER's responsibility — none of that is captured here.",
"Domain-fronted tools (Snowflake, Lantern, Psiphon) are SYSTEMATICALLY UNDER-ESTIMATED. Bootstrap-domain probes do not measure the rotating tunnel endpoints those tools actually use.",
"Self-hosted WireGuard / OpenVPN on a private IP is INVISIBLE to OONI probes and is not represented here. If you have one, trust it over any commercial recommendation.",
"Tor rows roll up vanilla / obfs4 / Snowflake / Meek transports. Per-transport granularity needs raw OONI nettests, out of scope for v1.",
"DO NOT share this recommendation as a forum-shareable card without the caveat block. The do_not_share_card_without_caveats flag in the response is on by design."
],
"informational_disclaimer": "This endpoint is INFORMATIONAL, not a safety guarantee. Probe success is an upper bound on real-user success. User assumes the risk of any tool selected from this ranking. 'Try first' does not mean 'safe' — it means 'highest measured success, highest probe confidence.'",
"insufficient_coverage": false,
"lookback_days": 30,
"min_total_probes_floor": 100,
"n_tools_measured": 1,
"n_total_probes": 125,
"rank_formula": "success_rate * sqrt(confidence) * recency_decay",
"schema": "voidly-circumvention-recommendation/v1",
"tier_definitions": {
"avoid": {
"description": "High-confidence measurements show <10% probe success. Very likely blocked. Listed for transparency — do not trust the bootstrap path.",
"label": "Avoid",
"max_success_rate": 0.1,
"min_confidence": 0.7
},
"fallback": {
"description": "Either partial measured success (30%+) OR not enough probes to be sure. Worth trying if the try_first tools fail — but expect lower reliability.",
"label": "Fallback",
"max_confidence_for_uncertain": 0.5,
"min_success_rate_lower": 0.3
},
"try_first": {
"description": "High measured success rate AND high probe confidence. Still informational only — DPI vendors increasingly block real clients while letting measurement probes pass, so success_rate is an upper bound.",
"label": "Try first",
"min_confidence": 0.7,
"min_success_rate": 0.7
}
},
"tiers": {
"avoid": [],
"fallback": [],
"try_first": [
{
"category": "anonymity-network",
"confidence": 0.99,
"n_total_probes": 125,
"rank_score": 0.8735,
"success_rate": 0.92,
"tool_name": "Tor",
"tool_note": "Tor uses obfs4 by default. If obfs4 fails, switch to the Snowflake bridge from inside the Tor Browser settings. The OONI tor test does NOT differentiate transports, so this row is the aggregate.",
"tool_slug": "tor",
"verdict": "works"
}
]
},
"tools_ranked": [
{
"block_rate": 0.08,
"blocking_methods": {
"tor-blocking": 8
},
"category": "anonymity-network",
"confidence": 0.99,
"confidence_band": "high",
"domains_observed": [],
"first_observed": "2026-09-07T00:00:00Z",
"last_observed": "2026-10-03T12:00:00Z",
"n_blocked_probes": 10,
"n_successful_probes": 115,
"n_total_probes": 125,
"n_unique_asns": 0,
"rank_score": 0.8735,
"recency_decay": 0.9542,
"recency_decay_known": true,
"recency_decay_note": null,
"success_rate": 0.92,
"tier": "try_first",
"tool_name": "Tor",
"tool_note": "Tor uses obfs4 by default. If obfs4 fails, switch to the Snowflake bridge from inside the Tor Browser settings. The OONI tor test does NOT differentiate transports, so this row is the aggregate.",
"tool_slug": "tor",
"verdict": "works"
}
]
}Network variation
Network-level records add detail that a country score cannot show.
| ISP | Composite score | Sample block rate | Methods / categories | Domains / evidence |
|---|---|---|---|---|
| AS215597 AS215,597 | 81.5 | 100.0% | tcp-reset AIML · GRP · MMED · COMT | 13 domains 756 evidence items |
| AS200865 AS200,865 | 75.5 | 100.0% | tcp-reset GRP · COMT · MMED | 6 domains 6 evidence items |
| AS198169 AS198,169 | 53 | 100.0% | Methods unavailable AIML · ANON · PORN · GRP | 6 domains 33 evidence items |
| AS213887 AS213,887 | 47 | 100.0% | Methods unavailable PORN · GRP | 4 domains 11 evidence items |
Returned rows: 4; source ISP count: 4. Counts and percentages apply to the returned measurement sample.
Source generated: . This is a source timestamp, not proof that every underlying observation is current.
{
"country": "IQ",
"countryName": "Iraq",
"generated_at": "2026-10-06T10:59:49.854739Z",
"ispCount": 4,
"isps": [
{
"asn": 215597,
"blockRate": 1,
"blockedCategories": [
"AIML",
"GRP",
"MMED",
"COMT"
],
"blockedCount": 756,
"categoryBreadth": 0.4,
"compositeScore": 81.5,
"country": "IQ",
"countryName": "Iraq",
"evidenceCount": 756,
"methodAggressiveness": 1,
"methods": [
"tcp-reset"
],
"name": "AS215597",
"uniqueDomains": 13
},
{
"asn": 200865,
"blockRate": 1,
"blockedCategories": [
"GRP",
"COMT",
"MMED"
],
"blockedCount": 6,
"categoryBreadth": 0.3,
"compositeScore": 75.5,
"country": "IQ",
"countryName": "Iraq",
"evidenceCount": 6,
"methodAggressiveness": 1,
"methods": [
"tcp-reset"
],
"name": "AS200865",
"uniqueDomains": 6
},
{
"asn": 198169,
"blockRate": 1,
"blockedCategories": [
"AIML",
"ANON",
"PORN",
"GRP"
],
"blockedCount": 33,
"categoryBreadth": 0.4,
"compositeScore": 53,
"country": "IQ",
"countryName": "Iraq",
"evidenceCount": 33,
"methodAggressiveness": 0,
"methods": [],
"name": "AS198169",
"uniqueDomains": 6
},
{
"asn": 213887,
"blockRate": 1,
"blockedCategories": [
"PORN",
"GRP"
],
"blockedCount": 11,
"categoryBreadth": 0.2,
"compositeScore": 47,
"country": "IQ",
"countryName": "Iraq",
"evidenceCount": 11,
"methodAggressiveness": 0,
"methods": [],
"name": "AS213887",
"uniqueDomains": 4
}
],
"methodology": "compositeScore (0-100) ranks ISPs by blockRate + category breadth + method aggressiveness - a RELATIVE ranking signal, NOT an absolute percent-blocked. blockRate is the share of an ISP MEASURED evidence that are blocking signals (OONI/CensoredPlanet probe censoring networks heavily, so ~1.0 is common for targeted ISPs), NOT the share of the internet the ISP blocks."
}Editorial service list
Undated editorial context. Check current evidence before treating a service as blocked.
Check a specific domainCountry guidance
The original country recommendations are preserved below. They are undated guidance, not a guarantee of access or safety.
Questions, answered
The dated 30-day index score is 5/100. That describes the source sample, not every person, network or domain in Iraq.
Iraq implements periodic internet restrictions during protests and civil unrest.
Use the recent records and their original sources to investigate a particular restriction. Disruption alone does not establish intentional censorship.
The editorial list names: Social media during protests, Some news sites. It is undated context, not a current availability check.
Results can differ between networks, measurement times and targets. Country incident records and the country API preserve source details.
Original snapshot rank: #29. Editorial risk tier: High. Editorial trend: stable. The tier and trend are curated context; they are not a measured change between recent dates.
The index includes a dated score window and a separate all-time measurement corpus. Compare like-for-like windows and inspect sample coverage before drawing a national comparison. Compare the index.
The pipeline can record DNS interference, TCP resets, HTTP block pages, TLS/SNI failures and network-level outages. This list describes possible mechanisms; it does not claim every mechanism was observed in Iraq.
Each incident and ISP record below retains its reported mechanism and evidence. Inspect the country evidence query before attributing a failure to deliberate blocking.
The index score snapshot was fetched . Its source serve-time can advance without changes in the underlying scores. The accumulating historical OONI file has no dated observation window.
Current country data, incidents, network state and models have independent source dates. The page requested those sources . It does not continuously refresh. Missing, stale and uncovered responses remain labeled.
Subscribe to source feedsOpen the accessibility checker. For a source query, use the country code with the domain you are investigating:
GET https://api.voidly.ai/v1/accessibility/check?domain=twitter.com&country=IQ MCP server: npx @voidly/mcp-server Tool: check_domain_blocked Arguments: domain="twitter.com", country="IQ" CLI: npx @voidly/cli check twitter.com IQ
Inspect the returned timestamp, measurement coverage and method. A sampled result is not a guarantee for every user. API documentation · MCP tools.
Results depend on local networks and the transport used. The source’s complete country guidance is preserved in the recommendations section. Voidly’s current product details belong on the VPN page; a measured probe result is not a safety or success guarantee.
Use the canonical country URL, https://voidly.ai/iq, with your access date and the date of any source snapshot you quote. The citation below supports plain text and BibTeX copy/download. A model generation or page access date is not a publication date.
Voidly-original analysis is CC BY 4.0. Upstream records keep their own attribution and licenses.
Open evidence
Voidly Research. (n.d.). Iraq Internet Censorship Profile. https://voidly.ai/iq (accessed 2026-10-06).
Citations use the public /iq URL. Access date is not publication date. Cite the individual source, observation time and model version when using a number.
Voidly-original analysis and annotations are CC BY 4.0. Upstream OONI, IODA and Censored Planet records retain their own licenses. Read and attribute the underlying evidence.