x402-factory

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.

Latest acquisition and disposition 8-K events as structured JSON — Latest 8-K filings classified as acquisition and disposition (Item 2.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 2.01 events.

Live probability: Which party wins the next US presidential election? — Stable evergreen URL for a recurring question: Which party wins the next US presidential election? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape.

Will it rain in Nashville during your event window — Event-window weather odds for Nashville: 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 Nashville coordinates built in.

Will it rain in Philadelphia during your event window — Event-window weather odds for Philadelphia: 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 Philadelphia coordinates built in.

Will it rain in Portland during your event window — Event-window weather odds for Portland: 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 Portland coordinates built in.

Will it rain in San Diego during your event window — Event-window weather odds for San Diego: 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 Diego 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.

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.

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.

Will it rain in Chicago during your event window — Event-window weather odds for Chicago: 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 Chicago coordinates built in.

Will it rain in Denver during your event window — Event-window weather odds for Denver: 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 Denver coordinates built in.

Will it rain in Detroit during your event window — Event-window weather odds for Detroit: 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 Detroit coordinates built in.

DEN weather delay risk for the next 48 hours — Weather-driven delay risk for Denver International (DEN) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to DEN.

Only the econ observations printed or revised changed since your cursor (delta o — Keyset delta of /v1/econ/dashboard: pass since=<next_cursor from your last call> and get only the econ observations printed or revised 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…

Active NWS alerts for a point or state, plus model-forward hazard risk — Official National Weather Service active alerts (public domain, attributed) for a lat/lon or two-letter state, combined with our model's forward 48h hazard probabilities (extreme heat, heavy rain, damaging wind). Pass lat+lon or state.

Hourly Chicago weather forecast (blend model, method labeled) — Hourly weather forecast for Chicago: 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 Chicago coordinates built in.

Hourly Charlotte weather forecast (blend model, method labeled) — Hourly weather forecast for Charlotte: 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 Charlotte coordinates built in.

Hourly Dallas weather forecast (blend model, method labeled) — Hourly weather forecast for Dallas: 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 Dallas coordinates built in.

Hourly Denver weather forecast (blend model, method labeled) — Hourly weather forecast for Denver: 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 Denver coordinates built in.

Hourly Detroit weather forecast (blend model, method labeled) — Hourly weather forecast for Detroit: 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 Detroit coordinates built in.

Hourly Houston weather forecast (blend model, method labeled) — Hourly weather forecast for Houston: 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 Houston coordinates built in.

Hourly Jacksonville weather forecast (blend model, method labeled) — Hourly weather forecast for Jacksonville: 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 Jacksonville coordinates built in.

Hourly Miami weather forecast (blend model, method labeled) — Hourly weather forecast for Miami: 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 Miami coordinates built in.

Hourly Los Angeles weather forecast (blend model, method labeled) — Hourly weather forecast for Los Angeles: 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 Los Angeles coordinates built in.

Hourly Minneapolis weather forecast (blend model, method labeled) — Hourly weather forecast for Minneapolis: 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 Minneapolis coordinates built in.

Hourly New York City weather forecast (blend model, method labeled) — Hourly weather forecast for New York City: 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 New York City coordinates built in.

Hourly Phoenix weather forecast (blend model, method labeled) — Hourly weather forecast for Phoenix: 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 Phoenix coordinates built in.

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.

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.