{"count":30,"generated_at":"2026-05-21T13:30:31.035349","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":9.33,"forecast":32.24,"incident_density":0,"trend":20},"country":"SD","country_name":"Sudan","grade":"C","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":0.806,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0.45600000000000007,1],"key_drivers":[],"trend_7d_delta":0.778},"score":64.1},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":27.2,"incident_density":4.85,"trend":20},"country":"VE","country_name":"Venezuela","grade":"C","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":0.68,"historical_outcomes":28,"incidents_24h":1,"incidents_7d":7,"interval_90":[0.33000000000000007,1],"key_drivers":[],"trend_7d_delta":0.744},"score":63.9},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":31.92,"incident_density":0,"trend":20},"country":"NG","country_name":"Nigeria","grade":"C","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":0.798,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0.44800000000000006,1],"key_drivers":[],"trend_7d_delta":0.773},"score":63.8},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":31.64,"incident_density":0,"trend":20},"country":"NI","country_name":"Nicaragua","grade":"C","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":0.791,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0.44100000000000006,1],"key_drivers":[],"trend_7d_delta":0.761},"score":63.5},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":26.36,"incident_density":4.85,"trend":20},"country":"EG","country_name":"Egypt","grade":"C","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":0.659,"historical_outcomes":28,"incidents_24h":1,"incidents_7d":5,"interval_90":[0.30900000000000005,1],"key_drivers":[],"trend_7d_delta":0.745},"score":63},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":31.56,"incident_density":0,"trend":10.04},"country":"IN","country_name":"India","grade":"C","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":0.789,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":3,"interval_90":[0.43900000000000006,1],"key_drivers":[],"trend_7d_delta":0.002},"score":53.4},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.2,"incident_density":4.85,"trend":20},"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":0.055,"historical_outcomes":28,"incidents_24h":1,"incidents_7d":1,"interval_90":[0,0.40499999999999997],"key_drivers":[],"trend_7d_delta":0.78},"score":38.9},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":4.52,"incident_density":0,"trend":20},"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":0.113,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":5,"interval_90":[0,0.46299999999999997],"key_drivers":["Iranian Presidential Election 2026 in 5d","Iranian Presidential Election 2026 in 6d","Iranian Presidential Election 2026 in 7d"],"trend_7d_delta":0.809},"score":36.4},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.52,"incident_density":0,"trend":20},"country":"PK","country_name":"Pakistan","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":0.063,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":2,"interval_90":[0,0.413],"key_drivers":[],"trend_7d_delta":0.777},"score":34.4},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.4,"incident_density":0,"trend":20},"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":0.06,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.41],"key_drivers":[],"trend_7d_delta":0.653},"score":34.2},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.36,"incident_density":0,"trend":20},"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":0.059,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.409],"key_drivers":[],"trend_7d_delta":0.775},"score":34.2},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.4,"incident_density":0,"trend":20},"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":0.06,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.41],"key_drivers":[],"trend_7d_delta":0.659},"score":34.2},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.32,"incident_density":0,"trend":20},"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":0.058,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.408],"key_drivers":[],"trend_7d_delta":0.651},"score":34.1},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.08,"incident_density":0,"trend":20},"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":0.052,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.40199999999999997],"key_drivers":[],"trend_7d_delta":0.628},"score":33.9},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.04,"incident_density":0,"trend":20},"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":0.051,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.40099999999999997],"key_drivers":[],"trend_7d_delta":0.654},"score":33.9},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2,"incident_density":0,"trend":20},"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":0.05,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.39999999999999997],"key_drivers":[],"trend_7d_delta":0.664},"score":33.8},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":1.64,"incident_density":0,"trend":20},"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":28,"incidents_24h":0,"incidents_7d":1,"interval_90":[0,0.39099999999999996],"key_drivers":[],"trend_7d_delta":0.662},"score":33.5},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":1.56,"incident_density":0,"trend":20},"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":0.039,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.38899999999999996],"key_drivers":[],"trend_7d_delta":0.641},"score":33.4},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":1.32,"incident_density":0,"trend":20},"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":0.033,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.383],"key_drivers":[],"trend_7d_delta":0.767},"score":33.1},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":4.08,"incident_density":0,"trend":11.24},"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":0.102,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.45199999999999996],"key_drivers":["Turkish Local Elections 2026 in 9d","Turkish Local Elections 2026 in 10d","Turkish Local Elections 2026 in 5d"],"trend_7d_delta":0.062},"score":27.1},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":3.84,"incident_density":0,"trend":10.72},"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":0.096,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":1,"interval_90":[0,0.44599999999999995],"key_drivers":["Ethiopian House of People&#x27;s Represe in 10d","Ethiopian House of People&#x27;s Represe in 8d","Ethiopian House of People&#x27;s Represe in 5d"],"trend_7d_delta":0.036},"score":26.4},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.68,"incident_density":0,"trend":10.54},"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":0.067,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.417],"key_drivers":["Tiananmen Anniversary 2026 in 7d","Tiananmen Anniversary 2026 in 10d","Tiananmen Anniversary 2026 in 11d"],"trend_7d_delta":0.027},"score":25},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.36,"incident_density":0,"trend":10.6},"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":0.059,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":1,"interval_90":[0,0.409],"key_drivers":[],"trend_7d_delta":0.03},"score":24.8},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.48,"incident_density":0,"trend":10.36},"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":0.062,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.412],"key_drivers":[],"trend_7d_delta":0.018},"score":24.7},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.16,"incident_density":0,"trend":10.56},"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":0.054,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.40399999999999997],"key_drivers":[],"trend_7d_delta":0.028},"score":24.6},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.4,"incident_density":0,"trend":10.1},"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":0.06,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.41],"key_drivers":[],"trend_7d_delta":0.005},"score":24.3},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2,"incident_density":0,"trend":10.36},"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":0.05,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.39999999999999997],"key_drivers":[],"trend_7d_delta":0.018},"score":24.2},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":1.76,"incident_density":0,"trend":10.46},"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":0.044,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.39399999999999996],"key_drivers":[],"trend_7d_delta":0.023},"score":24.1},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":2.12,"incident_density":0,"trend":10.06},"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":0.053,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.40299999999999997],"key_drivers":[],"trend_7d_delta":0.003},"score":24},{"components":{"anomaly":2.5,"calibration":9.33,"forecast":1.88,"incident_density":0,"trend":10.08},"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":0.047,"historical_outcomes":28,"incidents_24h":0,"incidents_7d":1,"interval_90":[0,0.39699999999999996],"key_drivers":[],"trend_7d_delta":0.004},"score":23.8}],"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."}}