Hourly San Francisco weather forecast (blend model, method labeled) — Hourly weather forecast for San Francisco: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the San Francisco coordinates built in.

Will it rain in San Francisco during your event window — Event-window weather odds for San Francisco: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the San Francisco coordinates built in.

Hourly San Jose weather forecast (blend model, method labeled) — Hourly weather forecast for San Jose: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the San Jose coordinates built in.

Will it rain in San Jose during your event window — Event-window weather odds for San Jose: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the San Jose coordinates built in.

Hourly Seattle weather forecast (blend model, method labeled) — Hourly weather forecast for Seattle: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Seattle coordinates built in.

Will it rain in Seattle during your event window — Event-window weather odds for Seattle: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Seattle coordinates built in.

Hourly Washington, DC weather forecast (blend model, method labeled) — Hourly weather forecast for Washington, DC: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Washington, DC coordinates built in.

Will it rain in Washington, DC during your event window — Event-window weather odds for Washington, DC: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Washington, DC coordinates built in.

One-call answer for a specific time window: rain odds, temps, comfort, verdict — Summarizes a ≤12-hour window at a coordinate into decision-ready numbers (rain probability, expected precip, temp range in °C, max gust, comfort index) plus a one-sentence plain-English verdict. Built for agents planning events, deliveries, and travel.

Probability time series for a market with key-move detection — Hourly or daily blended probability series (per-venue series included where listed) with volume, plus key_moves: buckets where the blend moved at least 5 points. Useful for charting and for change-point context before paying for realtime reads.

Summarized depth, spread, and 24h volume profile for one market — Execution-quality summary per venue: depth within 1c/5c of the touch, spread in cents, and an hourly 24h volume profile. Pass notional_usd for a slippage estimate. Derived analytics only — raw order books are never mirrored.

Markets with the largest probability moves over 1h/6h/24h windows — Active markets ranked by absolute blended-probability change over the chosen window, with volume surge ratios. The fastest way for an agent to find where news is landing.

Biggest climate and weather probability moves (1h/6h/24h) — The fastest way to see where news is landing in climate and weather: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to climate and weather markets.

Biggest crypto probability moves (1h/6h/24h) — The fastest way to see where news is landing in crypto: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to crypto markets.

Only the materially-moved markets changed since your cursor (delta of /v1/movers — Keyset delta of /v1/movers: pass since=<next_cursor from your last call> and get only the materially-moved markets added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/movers/changes for counts and pay only…

Biggest economics probability moves (1h/6h/24h) — The fastest way to see where news is landing in economics: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to economics markets.

Biggest entertainment probability moves (1h/6h/24h) — The fastest way to see where news is landing in entertainment: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to entertainment markets.

Biggest Federal Reserve probability moves (1h/6h/24h) — The fastest way to see where news is landing in Federal Reserve: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to Federal Reserve markets.

Biggest US politics probability moves (1h/6h/24h) — The fastest way to see where news is landing in US politics: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to US politics markets.

Biggest world politics probability moves (1h/6h/24h) — The fastest way to see where news is landing in world politics: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to world politics markets.

Biggest science and technology probability moves (1h/6h/24h) — The fastest way to see where news is landing in science and technology: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to science and technology markets.

Biggest MLB baseball probability moves (1h/6h/24h) — The fastest way to see where news is landing in MLB baseball: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to MLB baseball markets.

Biggest NBA basketball probability moves (1h/6h/24h) — The fastest way to see where news is landing in NBA basketball: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to NBA basketball markets.

Biggest NFL football probability moves (1h/6h/24h) — The fastest way to see where news is landing in NFL football: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to NFL football markets.

Biggest soccer probability moves (1h/6h/24h) — The fastest way to see where news is landing in soccer: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to soccer markets.

Per-venue implied vs vig-adjusted odds with summarized depth for one market — Venue-by-venue comparison for a market: implied probability, vig-adjusted probability (overround removed via the quoted book), summarized depth near the touch, plus the cross-venue spread and a disagreement flag when it exceeds 5 points.

Cheapest endpoint: liveness plus x402 payment pipeline check — Returns ok with the server time and whether this call was paid. Use it to verify your x402 client end to end before spending on data endpoints.

Blended event probability across Kalshi and Polymarket for one market — Liquidity-weighted blend of venue implied probabilities for a canonical market slug, with per-venue detail, cross-venue divergence, and the last 1h move. Resolved markets return 410 RESOLVED with the outcome. Find slugs via /v1/probability/search.

Find prediction markets by free-text query; returns slugs for other endpoints — Full-text search over the canonical market catalog (Postgres FTS + trigram in live mode). Returns slugs, blended probabilities, and match confidence. Empty result sets return 200 with a suggestion listing valid categories.

Product recalls across FDA, USDA, and CPSC in one normalized schema — openFDA enforcement reports (food/drug/device), USDA FSIS recalls, and CPSC consumer-product recalls normalized to one shape with a unified severity class (I highest — FDA/USDA classes verbatim; CPSC derived from hazard language). Newest first.

Latest consumer product recalls (FDA/USDA/CPSC normalized) — Latest consumer product recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the consumer category.

Only the product recalls changed since your cursor (delta of /v1/recalls) — Keyset delta of /v1/recalls: pass since=<next_cursor from your last call> and get only the product recalls added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/recalls/changes for counts and pay only when there is…

Latest medical device recalls (FDA/USDA/CPSC normalized) — Latest medical device recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the device category.

Latest drug and pharmaceutical recalls (FDA/USDA/CPSC normalized) — Latest drug and pharmaceutical recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the drug category.

Latest food safety recalls (FDA/USDA/CPSC normalized) — Latest food safety recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the food category.

Latest vehicle recalls (FDA/USDA/CPSC normalized) — Latest vehicle recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the vehicle category.

Final outcome and settlement details for a resolved market — Outcome, per-venue settlement, source link where available, and the blended probability 24h before resolution (calibration signal). Unresolved markets return 404 with a pointer to the live probability endpoint.

One station's forecast-verification history: daily MAE/bias by lead and method — Single-station audit view of our forecast verification: daily MAE, signed bias, raw-NWS baseline, and sample counts for every lead time and method segment at one ICAO station, over a selectable window up to 90 days. Scored against that station's real NWS observations; model versions reported separately, never mixed.

Full verification table: daily MAE/bias per station, lead, method, version — The audit table behind our free verification summary: every scored forecast/actual pair, aggregated at daily granularity per station × lead × method segment × model version, over a selectable window up to 90 days. Each cell carries our MAE, signed bias, the raw-NWS baseline MAE on the same rows where our forecast can…