{"count":30,"generated_at":"2026-08-19T19:29:05.289484","methodology":"Composite formula: 40% forecast + 25% incident density + 20% trend + 10% calibration + 5% anomaly. Grade A (0-20) = open internet, Grade F (80-100) = censorship-heavy.","results":[{"components":{"anomaly":2.5,"calibration":10,"forecast":38,"incident_density":4.85,"trend":10.05},"country":"PK","country_name":"Pakistan","grade":"D","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.95,"historical_outcomes":118,"incidents_24h":1,"incidents_7d":11,"interval_90":[0.6,1],"key_drivers":[],"trend_7d_delta":0.0025},"score":65.4},{"components":{"anomaly":2.5,"calibration":10,"forecast":25.48,"incident_density":0,"trend":10},"country":"UZ","country_name":"Uzbekistan","grade":"B","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.637,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":5,"interval_90":[0.28700000000000003,0.987],"key_drivers":[],"trend_7d_delta":0},"score":48},{"components":{"anomaly":2.5,"calibration":10,"forecast":17.28,"incident_density":4.85,"trend":9.87},"country":"EG","country_name":"Egypt","grade":"B","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.432,"historical_outcomes":118,"incidents_24h":1,"incidents_7d":7,"interval_90":[0.08200000000000002,0.782],"key_drivers":[],"trend_7d_delta":-0.0065},"score":44.5},{"components":{"anomaly":2.5,"calibration":10,"forecast":12.56,"incident_density":4.85,"trend":10},"country":"IN","country_name":"India","grade":"B","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.314,"historical_outcomes":118,"incidents_24h":1,"incidents_7d":4,"interval_90":[0,0.6639999999999999],"key_drivers":[],"trend_7d_delta":0},"score":39.9},{"components":{"anomaly":2.5,"calibration":10,"forecast":12.48,"incident_density":4.85,"trend":10},"country":"TR","country_name":"Turkey","grade":"B","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.312,"historical_outcomes":118,"incidents_24h":1,"incidents_7d":2,"interval_90":[0,0.6619999999999999],"key_drivers":[],"trend_7d_delta":0},"score":39.8},{"components":{"anomaly":2.5,"calibration":10,"forecast":10.88,"incident_density":4.85,"trend":10},"country":"VE","country_name":"Venezuela","grade":"B","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.272,"historical_outcomes":118,"incidents_24h":1,"incidents_7d":13,"interval_90":[0,0.622],"key_drivers":[],"trend_7d_delta":0},"score":38.2},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.56,"incident_density":4.85,"trend":17.28},"country":"NG","country_name":"Nigeria","grade":"B","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.039,"historical_outcomes":118,"incidents_24h":1,"incidents_7d":8,"interval_90":[0,0.38899999999999996],"key_drivers":[],"trend_7d_delta":0.3639},"score":36.2},{"components":{"anomaly":2.5,"calibration":10,"forecast":11.44,"incident_density":0,"trend":10},"country":"MM","country_name":"Myanmar","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.286,"historical_outcomes":117,"incidents_24h":0,"incidents_7d":9,"interval_90":[0,0.6359999999999999],"key_drivers":[],"trend_7d_delta":0},"score":33.9},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.64,"incident_density":7.69,"trend":10.12},"country":"PH","country_name":"Philippines","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.041,"historical_outcomes":118,"incidents_24h":2,"incidents_7d":6,"interval_90":[0,0.39099999999999996],"key_drivers":[],"trend_7d_delta":0.006},"score":31.9},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.32,"incident_density":4.85,"trend":12.22},"country":"ET","country_name":"Ethiopia","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.033,"historical_outcomes":118,"incidents_24h":1,"incidents_7d":7,"interval_90":[0,0.383],"key_drivers":[],"trend_7d_delta":0.1109},"score":30.9},{"components":{"anomaly":2.5,"calibration":10,"forecast":8.08,"incident_density":0,"trend":10},"country":"KZ","country_name":"Kazakhstan","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.202,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":4,"interval_90":[0,0.552],"key_drivers":["Kazakh National Congress in 1d","Kazakh National Congress in 7d","Kazakh National Congress in 5d"],"trend_7d_delta":0},"score":30.6},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.32,"incident_density":4.85,"trend":10.43},"country":"BD","country_name":"Bangladesh","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.033,"historical_outcomes":118,"incidents_24h":1,"incidents_7d":5,"interval_90":[0,0.383],"key_drivers":[],"trend_7d_delta":0.0215},"score":29.1},{"components":{"anomaly":2.5,"calibration":10,"forecast":2.2,"incident_density":4.85,"trend":9.14},"country":"RU","country_name":"Russia","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.055,"historical_outcomes":118,"incidents_24h":1,"incidents_7d":12,"interval_90":[0,0.40499999999999997],"key_drivers":["Russian State Duma Election 2026 in 24d","Russian State Duma Election 2026 in 27d","Russian State Duma Election 2026 in 30d"],"trend_7d_delta":-0.0429},"score":28.7},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.2,"incident_density":4.85,"trend":10.1},"country":"MY","country_name":"Malaysia","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.03,"historical_outcomes":118,"incidents_24h":1,"incidents_7d":2,"interval_90":[0,0.38],"key_drivers":[],"trend_7d_delta":0.005},"score":28.6},{"components":{"anomaly":2.5,"calibration":10,"forecast":2.12,"incident_density":0,"trend":12.46},"country":"IR","country_name":"Iran","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.053,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":12,"interval_90":[0,0.40299999999999997],"key_drivers":["Mahsa Amini Anniversary 2026 in 27d","Mahsa Amini Anniversary 2026 in 24d","Mahsa Amini Anniversary 2026 in 21d"],"trend_7d_delta":0.123},"score":27.1},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.84,"incident_density":0,"trend":12.65},"country":"SY","country_name":"Syria","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.046,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":7,"interval_90":[0,0.39599999999999996],"key_drivers":[],"trend_7d_delta":0.1327},"score":27},{"components":{"anomaly":2.5,"calibration":10,"forecast":2.04,"incident_density":0,"trend":12.38},"country":"SD","country_name":"Sudan","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.051,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":2,"interval_90":[0,0.40099999999999997],"key_drivers":[],"trend_7d_delta":0.1191},"score":26.9},{"components":{"anomaly":2.5,"calibration":10,"forecast":2.12,"incident_density":0,"trend":11.01},"country":"CU","country_name":"Cuba","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.053,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":5,"interval_90":[0,0.40299999999999997],"key_drivers":[],"trend_7d_delta":0.0505},"score":25.6},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.92,"incident_density":0,"trend":10.46},"country":"LB","country_name":"Lebanon","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.048,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":6,"interval_90":[0,0.39799999999999996],"key_drivers":[],"trend_7d_delta":0.023},"score":24.9},{"components":{"anomaly":2.5,"calibration":10,"forecast":2.16,"incident_density":0,"trend":9.84},"country":"ER","country_name":"Eritrea","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.054,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.40399999999999997],"key_drivers":[],"trend_7d_delta":-0.008},"score":24.5},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.88,"incident_density":0,"trend":10.03},"country":"CN","country_name":"China","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.047,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":6,"interval_90":[0,0.39699999999999996],"key_drivers":[],"trend_7d_delta":0.0015},"score":24.4},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.6,"incident_density":0,"trend":10.28},"country":"VN","country_name":"Vietnam","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.04,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":1,"interval_90":[0,0.38999999999999996],"key_drivers":[],"trend_7d_delta":0.014},"score":24.4},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.56,"incident_density":0,"trend":10.26},"country":"KP","country_name":"North Korea","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.039,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":1,"interval_90":[0,0.38899999999999996],"key_drivers":[],"trend_7d_delta":0.013},"score":24.3},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.68,"incident_density":0,"trend":9.97},"country":"ID","country_name":"Indonesia","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.042,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":2,"interval_90":[0,0.39199999999999996],"key_drivers":[],"trend_7d_delta":-0.0015},"score":24.1},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.64,"incident_density":0,"trend":10},"country":"BR","country_name":"Brazil","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.041,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":4,"interval_90":[0,0.39099999999999996],"key_drivers":[],"trend_7d_delta":0},"score":24.1},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.72,"incident_density":0,"trend":9.82},"country":"NI","country_name":"Nicaragua","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.043,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.39299999999999996],"key_drivers":[],"trend_7d_delta":-0.009},"score":24},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.4,"incident_density":0,"trend":9.99},"country":"TM","country_name":"Turkmenistan","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.035,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.385],"key_drivers":[],"trend_7d_delta":-0.0007},"score":23.9},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.32,"incident_density":0,"trend":10},"country":"TH","country_name":"Thailand","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.033,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":1,"interval_90":[0,0.383],"key_drivers":[],"trend_7d_delta":0},"score":23.8},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.92,"incident_density":0,"trend":7.56},"country":"BY","country_name":"Belarus","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.048,"historical_outcomes":117,"incidents_24h":0,"incidents_7d":6,"interval_90":[0,0.39799999999999996],"key_drivers":[],"trend_7d_delta":-0.1222},"score":22},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.48,"incident_density":0,"trend":7.93},"country":"SA","country_name":"Saudi Arabia","grade":"B-","interpretation":"Higher score = more censorship risk. Score is a composite of (40%) calibrated 7-day forecast + (25%) log-scaled recent incident density + (20%) 7-day forecast trend delta + (10%) calibration-quality discount + (5%) anomaly disagreement. Grade A = 0-20 (open), B = 20-50, C = 50-65, D = 65-80, F = 80-100 (censorship-heavy).","raw_signals":{"anomaly_note":"neutral score; unsupervised model is experimental","forecast_max_risk":0.037,"historical_outcomes":118,"incidents_24h":0,"incidents_7d":1,"interval_90":[0,0.38699999999999996],"key_drivers":[],"trend_7d_delta":-0.1034},"score":21.9}],"schema":"voidly-atlas-score-leaderboard/v1","_voidly_pay":{"claim_did":"https://voidly.ai/pay/claim","for_builders":"https://voidly.ai/pay/for-builders","marketplace":"https://api.voidly.ai/v1/pay/marketplace","live_demo":"https://huggingface.co/spaces/emperor-mew/voidly-pay","universal_proxy":{"url":"https://api.voidly.ai/v1/pay/proxy","example":"https://api.voidly.ai/v1/pay/proxy?u=<https-url>&to=did:voidly:<your-did>&price=0.01","page":"https://voidly.ai/pay/proxy","note":"Paywall any public HTTPS URL with one query param. No SDK install required."},"install":{"typescript":"npm install @voidly/pay","python":"pip install voidly-pay","langchain":"pip install voidly-pay-langchain","vercel_ai":"npm install @voidly/pay-vercel-ai","mcp":"npx @voidly/pay-mcp","cli":"npm install -g @voidly/pay-cli"},"note":"Voidly Pay is the open agent-to-agent payment rail. Claim a DID + 10 starter credits in 60s, or paywall any URL via the universal proxy with one query param."}}