x402-factory

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.

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.

Historical performance of the edge signal: hit rate, calibration, by hazard — Aggregates stored edge signals whose markets have resolved: how often the model beat the market (hit rate), average absolute-error improvement (edge captured), a model calibration curve, and per-hazard breakdowns. model_label is explicit about which model produced the signals.

All active Federal Reserve markets with live probabilities in one call — One-call board of the most active Federal Reserve prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of Federal Reserve at a glance.

US economic series: latest print, revisions, surprise vs labeled expectation — One tracked US economic series (BLS/BEA/Fed/Census via FRED/ALFRED): the latest print with first-release vs latest value (revisions never masquerade as print-day numbers), surprise against a labeled expectation — market-implied when a matching prediction market exists, else a trend model — the next scheduled release…

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.

Quarter-over-quarter 13F position changes for an institutional manager — Parses a fund's 13F-HR information tables and diffs the latest quarter against the prior one: new positions, exits, increases, decreases (with share deltas), and the change in top-10 concentration. CIKs may be zero-padded or not.

Latest Department of Homeland Security contract awards — Latest federal contract awards from Department of Homeland Security: recipient, value, NAICS, and award dates from USAspending, newest first. Same shape as /v1/contracts/awards, pre-filtered to Department of Homeland Security.

Latest Department of Commerce contract awards — Latest federal contract awards from Department of Commerce: recipient, value, NAICS, and award dates from USAspending, newest first. Same shape as /v1/contracts/awards, pre-filtered to Department of Commerce.

Latest Department of Defense contract awards — Latest federal contract awards from Department of Defense: recipient, value, NAICS, and award dates from USAspending, newest first. Same shape as /v1/contracts/awards, pre-filtered to Department of Defense.

Latest Department of Energy contract awards — Latest federal contract awards from Department of Energy: recipient, value, NAICS, and award dates from USAspending, newest first. Same shape as /v1/contracts/awards, pre-filtered to Department of Energy.

Latest Department of Transportation contract awards — Latest federal contract awards from Department of Transportation: recipient, value, NAICS, and award dates from USAspending, newest first. Same shape as /v1/contracts/awards, pre-filtered to Department of Transportation.

Latest General Services Administration contract awards — Latest federal contract awards from General Services Administration: recipient, value, NAICS, and award dates from USAspending, newest first. Same shape as /v1/contracts/awards, pre-filtered to General Services Administration.

Latest Department of Health and Human Services contract awards — Latest federal contract awards from Department of Health and Human Services: recipient, value, NAICS, and award dates from USAspending, newest first. Same shape as /v1/contracts/awards, pre-filtered to Department of Health and Human Services.

Latest NASA contract awards — Latest federal contract awards from NASA: recipient, value, NAICS, and award dates from USAspending, newest first. Same shape as /v1/contracts/awards, pre-filtered to NASA.

Latest Department of Agriculture contract awards — Latest federal contract awards from Department of Agriculture: recipient, value, NAICS, and award dates from USAspending, newest first. Same shape as /v1/contracts/awards, pre-filtered to Department of Agriculture.

Latest Department of Veterans Affairs contract awards — Latest federal contract awards from Department of Veterans Affairs: recipient, value, NAICS, and award dates from USAspending, newest first. Same shape as /v1/contracts/awards, pre-filtered to Department of Veterans Affairs.

All active climate and weather markets with live probabilities in one call — One-call board of the most active climate and weather prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of climate and weather at a glance.

All active crypto markets with live probabilities in one call — One-call board of the most active crypto prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of crypto at a glance.

All active economics markets with live probabilities in one call — One-call board of the most active economics prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of economics at a glance.

Upcoming market resolutions in the next N days with current probabilities — Active markets resolving inside the horizon, sorted by resolution date with the current blended probability. An agent's event calendar: what settles soon and where it stands.

Upcoming climate and weather event resolutions — Upcoming climate and weather market resolutions in date order with current blended probabilities — the forward calendar of climate and weather events an agent can position around. Same shape as /v1/calendar, pre-filtered to climate and weather markets.

Upcoming NFL football event resolutions — Upcoming NFL football market resolutions in date order with current blended probabilities — the forward calendar of NFL football events an agent can position around. Same shape as /v1/calendar, pre-filtered to NFL football markets.

Probability of a specific weather event in a window, for any point or city — Our model's probability that a condition (temp above/below a threshold, precip amount, wind, any precip, named-storm landfall) occurs in a window up to 31 days out, with the method labeled. When a listed prediction market covers the same event, it is cross-referenced.

Federal contract awards from USAspending, normalized and filterable — Recent US federal contract awards (USAspending.gov) as clean records: vendor, awarding agency/sub-agency, value, NAICS, start date, and place of performance. Sorted by value. Filter by vendor, agency, NAICS, minimum value, or date.

Building permits (Census, monthly): latest print, revisions, surprise — Latest Building permits print from the Census via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to building-permits.

Upcoming US economic release dates across all tracked series — Every tracked US economic series (CPI, payrolls, GDP, PCE, claims, housing, and more) with its next scheduled release date from the agencies' published calendars, sorted soonest first. The cheap planning read before paying for a full series view.

Core CPI inflation (BLS, monthly): latest print, revisions, surprise — Latest Core CPI inflation print from the BLS via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to core-cpi.

Core PCE inflation (BEA, monthly): latest print, revisions, surprise — Latest Core PCE inflation print from the BEA via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to core-pce.

CPI inflation (BLS, monthly): latest print, revisions, surprise — Latest CPI inflation print from the BLS via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to cpi.

US macro dashboard: every tracked series' latest print in one call — All tracked US economic series in one response: the latest headline print (with its date and a revised flag) plus each series' next scheduled release date. The one-call state of the US economy for agents that would otherwise fan out fifteen reads.

Effective fed funds rate (Fed, monthly): latest print, revisions, surprise — Latest Effective fed funds rate print from the Fed via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to fed-funds.

Real GDP growth (BEA, quarterly): latest print, revisions, surprise — Latest Real GDP growth print from the BEA via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next quarterly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to gdp-growth.

Housing starts (Census, monthly): latest print, revisions, surprise — Latest Housing starts print from the Census via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to housing-starts.

Initial jobless claims (DOL, weekly): latest print, revisions, surprise — Latest Initial jobless claims print from the DOL via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next weekly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to initial-claims.

Nonfarm payrolls (BLS, monthly): latest print, revisions, surprise — Latest Nonfarm payrolls print from the BLS via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to payrolls.

PCE inflation (BEA, monthly): latest print, revisions, surprise — Latest PCE inflation print from the BEA via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to pce-inflation.

Advance retail sales (Census, monthly): latest print, revisions, surprise — Latest Advance retail sales print from the Census via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to retail-sales.

10-year Treasury yield (Fed, daily): latest print, revisions, surprise — Latest 10-year Treasury yield print from the Fed via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next daily release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to treasury-10y.

2-year Treasury yield (Fed, daily): latest print, revisions, surprise — Latest 2-year Treasury yield print from the Fed via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next daily release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to treasury-2y.

Unemployment rate (BLS, monthly): latest print, revisions, surprise — Latest Unemployment rate print from the BLS via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to unemployment.

8-K corporate events classified by item number with extractive summaries — Material corporate events from SEC 8-K filings, deterministically classified by Item number (5.02 → leadership_change, 2.02 → results, 1.01 → material_agreement, …) with a two-sentence extractive summary and the filing URL. Filter by ticker, event type, or date.

Normalized insider transactions (Form 4) with flow aggregates for a ticker — SEC Form 4 filings parsed into clean insider transactions: buy/sell/award classification, 10b5-1 plan flags, per-filer roles, and aggregate net flow with notable-pattern flags. Use it to gauge insider conviction before events.

Deep model-vs-market breakdown for one weather market — Full divergence picture for a single weather market: model probability with the discretized model distribution, divergence history from stored signals, a half-Kelly sizing hint, and explicit risk notes (including model labeling). Find slugs via /v1/edge/weather-markets.

Model-vs-market divergence across every parseable weather prediction market — Compares our weather model's event probability with the market-implied probability for every weather-linked prediction market we can parse, ranked by divergence with direction, model confidence (from ensemble spread), and market liquidity. parse_coverage reports how much of the weather catalog is covered.

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.

Latest bankruptcy and receivership 8-K events as structured JSON — Latest 8-K filings classified as bankruptcy and receivership (Item 1.03) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 1.03 events.

Latest executive and board leadership change 8-K events as structured JSON — Latest 8-K filings classified as executive and board leadership change (Item 5.02) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 5.02 events.

Latest material definitive agreement 8-K events as structured JSON — Latest 8-K filings classified as material definitive agreement (Item 1.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 1.01 events.

Latest other material event 8-K events as structured JSON — Latest 8-K filings classified as other material event (Item 8.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 8.01 events.

Latest Regulation FD disclosure 8-K events as structured JSON — Latest 8-K filings classified as Regulation FD disclosure (Item 7.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 7.01 events.

Latest restatement and non-reliance 8-K events as structured JSON — Latest 8-K filings classified as restatement and non-reliance (Item 4.02) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 4.02 events.

Latest results of operations 8-K events as structured JSON — Latest 8-K filings classified as results of operations (Item 2.02) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 2.02 events.

Live probability: Will the Fed hike rates at its next FOMC meeting? — Stable evergreen URL for a recurring question: Will the Fed hike rates at its next FOMC meeting? 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.

Live probability: Who wins the next NBA Finals? — Stable evergreen URL for a recurring question: Who wins the next NBA Finals? 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.

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.

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.

New SC 13D activist stake filings feed (metadata + links) — Rolling feed of newly filed SC 13D activist stake documents: filer, filing date, accession number, and direct EDGAR links — metadata only, no deep parse. The watch feed for agents tracking SC 13D activist stake activity.

New 10-K annual report filings feed (metadata + links) — Rolling feed of newly filed 10-K annual report documents: filer, filing date, accession number, and direct EDGAR links — metadata only, no deep parse. The watch feed for agents tracking 10-K annual report activity.

New Form 25/15 delisting and deregistration filings feed (metadata + links) — Rolling feed of newly filed Form 25/15 delisting and deregistration documents: filer, filing date, accession number, and direct EDGAR links — metadata only, no deep parse. The watch feed for agents tracking Form 25/15 delisting and deregistration activity.

New S-1 IPO registration filings feed (metadata + links) — Rolling feed of newly filed S-1 IPO registration documents: filer, filing date, accession number, and direct EDGAR links — metadata only, no deep parse. The watch feed for agents tracking S-1 IPO registration activity.

New 424B securities offering filings feed (metadata + links) — Rolling feed of newly filed 424B securities offering documents: filer, filing date, accession number, and direct EDGAR links — metadata only, no deep parse. The watch feed for agents tracking 424B securities offering activity.

New DEF 14A proxy statement filings feed (metadata + links) — Rolling feed of newly filed DEF 14A proxy statement documents: filer, filing date, accession number, and direct EDGAR links — metadata only, no deep parse. The watch feed for agents tracking DEF 14A proxy statement activity.

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.

Weather-driven delay risk for a US airport in 6-hour blocks — Next-24h delay risk for a top-100 US airport, scored per 6-hour block from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover, with the drivers named and a one-line verdict.

All active entertainment markets with live probabilities in one call — One-call board of the most active entertainment prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of entertainment at a glance.

All active US politics markets with live probabilities in one call — One-call board of the most active US politics prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of US politics at a glance.

All active world politics markets with live probabilities in one call — One-call board of the most active world politics prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of world politics at a glance.

All active science and technology markets with live probabilities in one call — One-call board of the most active science and technology prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of science and technology at a glance.

All active MLB baseball markets with live probabilities in one call — One-call board of the most active MLB baseball prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of MLB baseball at a glance.

All active NBA basketball markets with live probabilities in one call — One-call board of the most active NBA basketball prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of NBA basketball at a glance.

All active NFL football markets with live probabilities in one call — One-call board of the most active NFL football prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of NFL football at a glance.

All active soccer markets with live probabilities in one call — One-call board of the most active soccer prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of soccer at a glance.

Upcoming crypto event resolutions — Upcoming crypto market resolutions in date order with current blended probabilities — the forward calendar of crypto events an agent can position around. Same shape as /v1/calendar, pre-filtered to crypto markets.

Upcoming economics event resolutions — Upcoming economics market resolutions in date order with current blended probabilities — the forward calendar of economics events an agent can position around. Same shape as /v1/calendar, pre-filtered to economics markets.

Upcoming entertainment event resolutions — Upcoming entertainment market resolutions in date order with current blended probabilities — the forward calendar of entertainment events an agent can position around. Same shape as /v1/calendar, pre-filtered to entertainment markets.

Upcoming Federal Reserve event resolutions — Upcoming Federal Reserve market resolutions in date order with current blended probabilities — the forward calendar of Federal Reserve events an agent can position around. Same shape as /v1/calendar, pre-filtered to Federal Reserve markets.

Upcoming US politics event resolutions — Upcoming US politics market resolutions in date order with current blended probabilities — the forward calendar of US politics events an agent can position around. Same shape as /v1/calendar, pre-filtered to US politics markets.

Upcoming world politics event resolutions — Upcoming world politics market resolutions in date order with current blended probabilities — the forward calendar of world politics events an agent can position around. Same shape as /v1/calendar, pre-filtered to world politics markets.

Upcoming science and technology event resolutions — Upcoming science and technology market resolutions in date order with current blended probabilities — the forward calendar of science and technology events an agent can position around. Same shape as /v1/calendar, pre-filtered to science and technology markets.

Upcoming MLB baseball event resolutions — Upcoming MLB baseball market resolutions in date order with current blended probabilities — the forward calendar of MLB baseball events an agent can position around. Same shape as /v1/calendar, pre-filtered to MLB baseball markets.

Upcoming NBA basketball event resolutions — Upcoming NBA basketball market resolutions in date order with current blended probabilities — the forward calendar of NBA basketball events an agent can position around. Same shape as /v1/calendar, pre-filtered to NBA basketball markets.

Upcoming soccer event resolutions — Upcoming soccer market resolutions in date order with current blended probabilities — the forward calendar of soccer events an agent can position around. Same shape as /v1/calendar, pre-filtered to soccer markets.

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.

Degree-days, load signal, and renewables indexes for a US ISO region — Daily heating/cooling degree-days (°F-days), a normalized peak-load signal, and solar/wind generation indexes computed from load-weighted city forecasts for CAISO, ERCOT, PJM, MISO, SPP, NYISO, or ISONE, with extreme-risk flags.

Live probability: Will Bitcoin trade above $100k at year end? — Stable evergreen URL for a recurring question: Will Bitcoin trade above $100k at year end? 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.

Live probability: Will the Fed chair change this year? — Stable evergreen URL for a recurring question: Will the Fed chair change this year? 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.

Live probability: Who controls the House after the next election? — Stable evergreen URL for a recurring question: Who controls the House after the next 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.

Live probability: Will the next CPI print come in above consensus? — Stable evergreen URL for a recurring question: Will the next CPI print come in above consensus? 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.

Live probability: Will the next US GDP print show growth? — Stable evergreen URL for a recurring question: Will the next US GDP print show growth? 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.

Live probability: Who controls the Senate after the next election? — Stable evergreen URL for a recurring question: Who controls the Senate after the next 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.

Live probability: Who wins the next World Series? — Stable evergreen URL for a recurring question: Who wins the next World Series? 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.

Full-text search over SEC filings (EDGAR FTS), normalized results — Proxies SEC EDGAR full-text search (efts.sec.gov) with fair-access rate limiting and returns normalized hits: company, form, filing date, matched document, and archive URL. Upstream provides no text excerpt, so snippets describe the matched document.

Hourly point forecast for any coordinate, up to 168 hours — Hourly temperature, feels-like, precipitation probability/amount, wind, gusts, humidity, and cloud cover for an exact lat/lon: NWS-derived series, bias-blended with our calibrated station model where covered. Imperial by default (units=metric available). Requests beyond 168 hours are capped at the model's current horizon. Longer horizons cost more.

Percentile bands (p10–p90) for temp, precip, or wind — Hourly p10/p25/p50/p75/p90 bands for one variable at a coordinate. Temperature bands come from the model's empirical calibration; precipitation and wind bands are NWS-derived approximations, disclosed in the response's method label. Metric units (°C, mm, kph). Horizons cap at 168h. Use it to reason about uncertainty, not just point values.

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

Hourly San Diego weather forecast (blend model, method labeled) — Hourly weather forecast for San Diego: 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 Diego 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.

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

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.

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.

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.

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.

Active and forecast fire weather risk (NWS + model) — Active NWS alerts filtered to fire weather hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to fire weather.

Active and forecast flood risk (NWS + model) — Active NWS alerts filtered to flood hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to flood.

Active and forecast extreme heat risk (NWS + model) — Active NWS alerts filtered to extreme heat hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to extreme heat.

Active and forecast hurricane and tropical storm risk (NWS + model) — Active NWS alerts filtered to hurricane and tropical storm hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to hurricane and tropical storm.

Active and forecast tornado risk (NWS + model) — Active NWS alerts filtered to tornado hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to tornado.

Active and forecast winter storm risk (NWS + model) — Active NWS alerts filtered to winter storm hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to winter storm.

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

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

Only the federal contract awards changed since your cursor (delta of /v1/contrac — Keyset delta of /v1/contracts/awards: pass since=<next_cursor from your last call> and get only the federal contract awards 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/contracts/awards/changes for…

Only the materially-moved markets in the segment changed since your cursor (delt — Keyset delta of /v1/board/:category: pass since=<next_cursor from your last call> and get only the materially-moved markets in the segment 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…

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

Only the calendar events added or resolved changed since your cursor (delta of / — Keyset delta of /v1/calendar: pass since=<next_cursor from your last call> and get only the calendar events added or resolved 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/calendar/changes for counts…

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

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

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…

ATL weather delay risk for the next 48 hours — Weather-driven delay risk for Atlanta Hartsfield-Jackson (ATL) 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 ATL.

BOS weather delay risk for the next 48 hours — Weather-driven delay risk for Boston Logan (BOS) 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 BOS.

CLT weather delay risk for the next 48 hours — Weather-driven delay risk for Charlotte Douglas (CLT) 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 CLT.

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.

DFW weather delay risk for the next 48 hours — Weather-driven delay risk for Dallas/Fort Worth (DFW) 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 DFW.

DTW weather delay risk for the next 48 hours — Weather-driven delay risk for Detroit Metro (DTW) 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 DTW.

EWR weather delay risk for the next 48 hours — Weather-driven delay risk for Newark Liberty (EWR) 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 EWR.

FLL weather delay risk for the next 48 hours — Weather-driven delay risk for Fort Lauderdale-Hollywood (FLL) 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 FLL.

IAH weather delay risk for the next 48 hours — Weather-driven delay risk for Houston Bush (IAH) 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 IAH.

JFK weather delay risk for the next 48 hours — Weather-driven delay risk for New York JFK (JFK) 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 JFK.

LAS weather delay risk for the next 48 hours — Weather-driven delay risk for Las Vegas Harry Reid (LAS) 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 LAS.

LAX weather delay risk for the next 48 hours — Weather-driven delay risk for Los Angeles International (LAX) 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 LAX.

LGA weather delay risk for the next 48 hours — Weather-driven delay risk for New York LaGuardia (LGA) 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 LGA.

MCO weather delay risk for the next 48 hours — Weather-driven delay risk for Orlando International (MCO) 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 MCO.

MIA weather delay risk for the next 48 hours — Weather-driven delay risk for Miami International (MIA) 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 MIA.

MSP weather delay risk for the next 48 hours — Weather-driven delay risk for Minneapolis-St. Paul (MSP) 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 MSP.

ORD weather delay risk for the next 48 hours — Weather-driven delay risk for Chicago O'Hare (ORD) 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 ORD.

PHX weather delay risk for the next 48 hours — Weather-driven delay risk for Phoenix Sky Harbor (PHX) 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 PHX.

SEA weather delay risk for the next 48 hours — Weather-driven delay risk for Seattle-Tacoma (SEA) 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 SEA.

SFO weather delay risk for the next 48 hours — Weather-driven delay risk for San Francisco International (SFO) 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 SFO.

Only the 8-K filings changed since your cursor (delta of /v1/edgar/events) — Keyset delta of /v1/edgar/events: pass since=<next_cursor from your last call> and get only the 8-K filings 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/edgar/events/changes for counts and pay only when…

Live probability: Will the Fed cut rates at its next FOMC meeting? — Stable evergreen URL for a recurring question: Will the Fed cut rates at its next FOMC meeting? 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.

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

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

Hourly Boston weather forecast (blend model, method labeled) — Hourly weather forecast for Boston: 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 Boston 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 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 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 Las Vegas weather forecast (blend model, method labeled) — Hourly weather forecast for Las Vegas: 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 Las Vegas 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 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 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 Nashville weather forecast (blend model, method labeled) — Hourly weather forecast for Nashville: 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 Nashville 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 Philadelphia weather forecast (blend model, method labeled) — Hourly weather forecast for Philadelphia: 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 Philadelphia 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 Portland weather forecast (blend model, method labeled) — Hourly weather forecast for Portland: 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 Portland 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.

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.

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 Jacksonville during your event window — Event-window weather odds for Jacksonville: 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 Jacksonville coordinates built in.

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

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

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

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

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…

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 New York City during your event window — Event-window weather odds for New York City: 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 New York City 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 Phoenix during your event window — Event-window weather odds for Phoenix: 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 Phoenix 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.

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…

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

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.

Only the filings of the watched form changed since your cursor (delta of /v1/edg — Keyset delta of /v1/edgar/watch/:form: pass since=<next_cursor from your last call> and get only the filings of the watched form 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/edgar/watch/:form/changes…