{"count":30,"generated_at":"2026-07-05T15:51:29.443172","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":0,"trend":12.41},"country":"PK","country_name":"Pakistan","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":0.95,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":5,"interval_90":[0.6,1],"key_drivers":[],"trend_7d_delta":0.1207},"score":62.9},{"components":{"anomaly":2.5,"calibration":10,"forecast":25.84,"incident_density":0,"trend":8.28},"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":0.646,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":4,"interval_90":[0.29600000000000004,0.996],"key_drivers":[],"trend_7d_delta":-0.0858},"score":46.6},{"components":{"anomaly":2.5,"calibration":10,"forecast":17.44,"incident_density":0,"trend":10},"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":0.436,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":5,"interval_90":[0.08600000000000002,0.786],"key_drivers":[],"trend_7d_delta":0},"score":39.9},{"components":{"anomaly":2.5,"calibration":10,"forecast":5.2,"incident_density":0,"trend":13.26},"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":0.13,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":2,"interval_90":[0,0.48],"key_drivers":["July 11 Protests Anniversary 2026","July 11 Protests Anniversary 2026 in 5d","July 11 Protests Anniversary 2026 in 2d"],"trend_7d_delta":0.1629},"score":31},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.8,"incident_density":4.85,"trend":11.27},"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":0.045,"historical_outcomes":73,"incidents_24h":1,"incidents_7d":5,"interval_90":[0,0.39499999999999996],"key_drivers":[],"trend_7d_delta":0.0635},"score":30.4},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.84,"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":0.046,"historical_outcomes":73,"incidents_24h":1,"incidents_7d":8,"interval_90":[0,0.39599999999999996],"key_drivers":[],"trend_7d_delta":0},"score":29.2},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.52,"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":0.038,"historical_outcomes":73,"incidents_24h":1,"incidents_7d":7,"interval_90":[0,0.38799999999999996],"key_drivers":[],"trend_7d_delta":0},"score":28.9},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.92,"incident_density":0,"trend":11.74},"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":0.048,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.39799999999999996],"key_drivers":[],"trend_7d_delta":0.0869},"score":26.2},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.48,"incident_density":4.85,"trend":6.82},"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":0.037,"historical_outcomes":73,"incidents_24h":1,"incidents_7d":6,"interval_90":[0,0.38699999999999996],"key_drivers":[],"trend_7d_delta":-0.1592},"score":25.6},{"components":{"anomaly":2.5,"calibration":10,"forecast":2.2,"incident_density":0,"trend":10.39},"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":0.055,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.40499999999999997],"key_drivers":[],"trend_7d_delta":0.0197},"score":25.1},{"components":{"anomaly":2.5,"calibration":10,"forecast":2.12,"incident_density":0,"trend":10.18},"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":0.053,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.40299999999999997],"key_drivers":[],"trend_7d_delta":0.009},"score":24.8},{"components":{"anomaly":2.5,"calibration":10,"forecast":2.2,"incident_density":0,"trend":10},"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":0.055,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":3,"interval_90":[0,0.40499999999999997],"key_drivers":["Belarus Protests Anniversary 2026 in 29d","Belarus Protests Anniversary 2026 in 30d","Belarus Protests Anniversary 2026 in 28d"],"trend_7d_delta":0},"score":24.7},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.88,"incident_density":0,"trend":10.3},"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":0.047,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.39699999999999996],"key_drivers":[],"trend_7d_delta":0.015},"score":24.7},{"components":{"anomaly":2.5,"calibration":10,"forecast":2.12,"incident_density":0,"trend":10},"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":0.053,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.40299999999999997],"key_drivers":[],"trend_7d_delta":0.0001},"score":24.6},{"components":{"anomaly":2.5,"calibration":10,"forecast":2,"incident_density":0,"trend":10.06},"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":0.05,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":1,"interval_90":[0,0.39999999999999997],"key_drivers":[],"trend_7d_delta":0.003},"score":24.6},{"components":{"anomaly":2.5,"calibration":10,"forecast":2,"incident_density":0,"trend":10},"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":73,"incidents_24h":0,"incidents_7d":3,"interval_90":[0,0.39999999999999997],"key_drivers":[],"trend_7d_delta":0},"score":24.5},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.96,"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":0.049,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.39899999999999997],"key_drivers":[],"trend_7d_delta":0},"score":24.5},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.88,"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":0.047,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":3,"interval_90":[0,0.39699999999999996],"key_drivers":[],"trend_7d_delta":0},"score":24.4},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.84,"incident_density":0,"trend":10},"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":0.046,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":3,"interval_90":[0,0.39599999999999996],"key_drivers":[],"trend_7d_delta":0},"score":24.3},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.84,"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":0.046,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":2,"interval_90":[0,0.39599999999999996],"key_drivers":[],"trend_7d_delta":0},"score":24.3},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.84,"incident_density":0,"trend":10},"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":0.046,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":2,"interval_90":[0,0.39599999999999996],"key_drivers":[],"trend_7d_delta":0},"score":24.3},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.68,"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":0.042,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":2,"interval_90":[0,0.39199999999999996],"key_drivers":[],"trend_7d_delta":0},"score":24.2},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.92,"incident_density":0,"trend":9.8},"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":73,"incidents_24h":0,"incidents_7d":1,"interval_90":[0,0.39799999999999996],"key_drivers":[],"trend_7d_delta":-0.01},"score":24.2},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.6,"incident_density":0,"trend":10},"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":73,"incidents_24h":0,"incidents_7d":3,"interval_90":[0,0.38999999999999996],"key_drivers":[],"trend_7d_delta":0},"score":24.1},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.6,"incident_density":0,"trend":10.02},"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":0.04,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":3,"interval_90":[0,0.38999999999999996],"key_drivers":[],"trend_7d_delta":0.0009},"score":24.1},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.44,"incident_density":0,"trend":10},"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":0.036,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":2,"interval_90":[0,0.38599999999999995],"key_drivers":[],"trend_7d_delta":0},"score":23.9},{"components":{"anomaly":2.5,"calibration":10,"forecast":0.96,"incident_density":0,"trend":9.86},"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":0.024,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":2,"interval_90":[0,0.374],"key_drivers":[],"trend_7d_delta":-0.0072},"score":23.3},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.12,"incident_density":0,"trend":9.7},"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":0.028,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.378],"key_drivers":[],"trend_7d_delta":-0.015},"score":23.3},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.72,"incident_density":0,"trend":4.43},"country":"SY","country_name":"Syria","grade":"A","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":73,"incidents_24h":0,"incidents_7d":2,"interval_90":[0,0.39299999999999996],"key_drivers":[],"trend_7d_delta":-0.2785},"score":18.6},{"components":{"anomaly":2.5,"calibration":10,"forecast":1.8,"incident_density":0,"trend":3.65},"country":"SD","country_name":"Sudan","grade":"A","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":0.045,"historical_outcomes":73,"incidents_24h":0,"incidents_7d":0,"interval_90":[0,0.39499999999999996],"key_drivers":[],"trend_7d_delta":-0.3177},"score":17.9}],"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."}}