{"country":"BY","country_name":"Belarus","date_used":"2026-07-04","history":[{"date":"2026-06-28","is_anom":true,"n":29,"observed":0.310345,"residual":0.407392,"seasonal":-0.295705,"trend":0.198658,"zscore":4.1793},{"date":"2026-06-29","is_anom":false,"n":12,"observed":0.166667,"residual":-0.00973,"seasonal":-0.026706,"trend":0.203102,"zscore":-0.1191},{"date":"2026-06-30","is_anom":false,"n":15,"observed":0.266667,"residual":-0.010043,"seasonal":0.068854,"trend":0.207856,"zscore":-0.1223},{"date":"2026-07-01","is_anom":false,"n":19,"observed":0.473684,"residual":0.009278,"seasonal":0.251349,"trend":0.213057,"zscore":0.0768},{"date":"2026-07-02","is_anom":false,"n":22,"observed":0.181818,"residual":-0.02541,"seasonal":-0.011513,"trend":0.218741,"zscore":-0.2807},{"date":"2026-07-03","is_anom":false,"n":15,"observed":0.266667,"residual":0.016855,"seasonal":0.02491,"trend":0.224901,"zscore":0.1549},{"date":"2026-07-04","is_anom":false,"n":15,"observed":0.266667,"residual":0.019111,"seasonal":0.015994,"trend":0.231562,"zscore":0.1781}],"honest_caveats":["Descriptive, not causal — high |zscore| != censorship.","Sensitive to data sparsity; some country-days have very few measurements.","period=7 assumes weekly seasonality; flat-pattern countries get small seasonal component."],"interpretation":"residual = observed - (trend + seasonal); zscore = residual / std(residuals) in this country. |zscore| > 2.0 = seasonally anomalous. Higher = bigger break from this country's own weekly rhythm. ORTHOGONAL to /v1/anomaly/dbscan/{cc} — STL catches own-pattern breaks; DBSCAN catches shape-anomalous days.","is_anomaly":false,"model_meta":{"algorithm":"STL (Cleveland 1990) period=7 robust=True","min_days_for_fit":60,"n_countries_fit":66,"stl_period":7,"trained_at":"2026-06-23T04:45:02.758711Z","version":"v1","window_days":90,"zscore_threshold":2},"n_measurements_that_day":15,"observed":0.266667,"residual":0.019111,"schema":"voidly-stl-seasonal-anomaly/v1","seasonal":0.015994,"trend":0.231562,"zscore":0.1781,"_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."}}