Connect-MCP

io.github.praneeth12098/x402-factory

io.github.praneeth12098/x402-factory · v1.0.0

200+ x402 paid data APIs for AI agents: prediction markets, verified weather, econ, SEC filings

MCPremoteno credentialsWeatherCalendar

Reported outcomes

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Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 219 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 73/100

What it does: 219 tools · 0 read, 0 write · Weather, Calendar

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +5
  • Read/write annotations: 0
  • Safe test call: +8
  • More than 80 tools: -5

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://x402-factory.com/mcp

Tools

200 tools listed at last check
  • core_ping 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. [HTTP: GET /v1/ping · price $0.001 via x402 · docs https://x402-factory.com/docs/core.ping]
  • econ_calendar 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 seri
  • econ_dashboard 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
  • econ_dashboard_changes Free: count of econ observations printed or revised changed since your cursor. Free polling probe for /v1/econ/dashboard/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/econ/dashboard/changes
  • econ_dashboard_delta 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 onc
  • econ_series 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-im
  • econ_series_building-permits 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 predi
  • econ_series_core-cpi 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 predict
  • econ_series_core-pce 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 predict
  • econ_series_cpi 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
  • econ_series_fed-funds 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 matc
  • econ_series_gdp-growth 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
  • econ_series_housing-starts 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 predictio
  • econ_series_initial-claims 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
  • econ_series_payrolls 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
  • econ_series_pce-inflation 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
  • econ_series_retail-sales 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 matchi
  • econ_series_treasury-10y 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 p
  • econ_series_treasury-2y 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 pre
  • econ_series_unemployment 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 predictio
  • edge_backtest 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_lab
  • edge_calibration Free: per-class edge-signal calibration (the gate deciding what we sell). Reliability table for every weather market class we compute edge signals on: resolved-signal count, predicted-vs-realized by model-probability decile, and whether the class is on the calibration allowlist that gates paid signa
  • edge_climate-events-probability Weather-event probability: temp at covered stations; precip/wind any US point. Our model's probability that a condition occurs in a future window up to 31 days out, with the method labeled. Temperature events (above/below, window_stat max or min) answer at model-covered stations only — elsewhere the
  • edge_detail 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
  • 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 m
  • edge_weather-markets-delayed Model-vs-market divergence across every parseable weather p… (15m delayed, free). 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),
  • gov_contracts-awards 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.
  • gov_contracts-awards_changes Free: count of federal contract awards changed since your cursor. Free polling probe for /v1/contracts/awards/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/contracts/awards/changes · price f
  • gov_contracts-awards_delta 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 bootst
  • gov_edgar-13f-diff 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
  • gov_edgar-events 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. Fi
  • gov_edgar-events_acquisitions 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 event
  • gov_edgar-events_bankruptcy 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 event
  • gov_edgar-events_changes Free: count of 8-K filings changed since your cursor. Free polling probe for /v1/edgar/events/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/edgar/events/changes · price free via x402 · docs
  • gov_edgar-events_delta 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 stabl
  • gov_edgar-events_leadership-change 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-filtere
  • gov_edgar-events_material-agreement 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 e
  • gov_edgar-events_other-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. [HTTP: GET
  • gov_edgar-events_reg-fd 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. [HT
  • gov_edgar-events_restatement 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 eve
  • gov_edgar-events_results 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. [HTTP: GE
  • gov_edgar-filings-search 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
  • gov_edgar-insider 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 event
  • gov_edgar-watch_changes Free: count of filings of the watched form changed since your cursor. Free polling probe for /v1/edgar/watch/:form/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/edgar/watch/:form/changes · p
  • gov_edgar-watch_delta 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 b
  • gov_recalls 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).
  • gov_recalls_changes Free: count of product recalls changed since your cursor. Free polling probe for /v1/recalls/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/recalls/changes · price free via x402 · docs https:
  • gov_recalls_consumer 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. [HTTP: GET /v1/recalls/consumer · price
  • gov_recalls_delta 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
  • gov_recalls_device 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. [HTTP: GET /v1/recalls/device · price $0.01 vi
  • gov_recalls_drug 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. [HTTP: GET /v1/recalls/drug ·
  • gov_recalls_food 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. [HTTP: GET /v1/recalls/food · price $0.01 via x402 · d
  • gov_recalls_vehicle 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. [HTTP: GET /v1/recalls/vehicle · price $0.01 via x402 · doc
  • probability_board_changes Free: count of materially-moved markets in the segment changed since your cursor. Free polling probe for /v1/board/:category/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/board/:category/cha
  • probability_board_climate 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 st
  • probability_board_crypto 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.
  • probability_board_delta 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
  • probability_board_economics 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
  • probability_board_entertainment 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 enter
  • probability_board_fed 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 F
  • probability_board_politics-us 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 politi
  • probability_board_politics-world 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 wor
  • probability_board_science-tech 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
  • probability_board_sports-mlb 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 bas
  • probability_board_sports-nba 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
  • probability_board_sports-nfl 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 foo
  • probability_board_sports-soccer 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.
  • probability_calendar 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. [HTTP: GET /v1/calendar · price $0.01 via x402 · d
  • probability_calendar_changes Free: count of calendar events added or resolved changed since your cursor. Free polling probe for /v1/calendar/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/calendar/changes · price free vi
  • probability_calendar_climate 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.
  • probability_calendar_crypto 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. [HTTP: GET /v1/calendar/crypto · price $0.01 via x4
  • probability_calendar_delta 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 boot
  • probability_calendar_economics 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. [HTTP: GET /v1/calendar/economics · pri
  • probability_calendar_entertainment 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. [HTTP: GET /v1/calendar
  • probability_calendar_fed 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. [HTTP: GET /v1/
  • probability_calendar_politics-us 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. [HTTP: GET /v1/calendar/politic
  • probability_calendar_politics-world 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. [HTTP: GET /v1/cale
  • probability_calendar_science-tech 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 technol
  • probability_calendar_sports-mlb 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. [HTTP: GET /v1/calendar/spo
  • probability_calendar_sports-nba 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. [HTTP: GET /v1/cale
  • probability_calendar_sports-nfl 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. [HTTP: GET /v1/calendar/spo
  • probability_calendar_sports-soccer 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. [HTTP: GET /v1/calendar/sports-soccer · price $0.01
  • probability_cross-venue-disagreement Where Kalshi and Polymarket disagree on the same event, ranked by gap. Active prediction markets priced on both Kalshi and Polymarket, ranked by how far the two venues disagree on the implied probability — with direction, each venue's liquidity, and, where each venue's own resolved history proves it
  • probability_cross-venue-disagreement-delayed Where Kalshi and Polymarket disagree on the same event, ran… (15m delayed, free). Active prediction markets priced on both Kalshi and Polymarket, ranked by how far the two venues disagree on the implied probability — with direction, each venue's liquidity, and, where each venue's own resolved histor
  • probability_evergreen_atlantic-named-storms-above-normal Live probability: Will Atlantic named storms run above normal this season?. Stable evergreen URL for a recurring question: Will Atlantic named storms run above normal this season? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occ
  • probability_evergreen_btc-above-100k-eoy 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 cur
  • probability_evergreen_eth-above-5k-eoy Live probability: Will Ethereum trade above $5k at year end?. Stable evergreen URL for a recurring question: Will Ethereum trade above $5k 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 curre
  • probability_evergreen_fed-chair-change-this-year 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
  • probability_evergreen_fed-next-meeting-cut 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. Respons
  • probability_evergreen_fed-next-meeting-hike 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. Respo
  • probability_evergreen_government-shutdown-this-quarter Live probability: Will there be a US government shutdown this quarter?. Stable evergreen URL for a recurring question: Will there be a US government shutdown this quarter? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence.
  • probability_evergreen_house-control-next-election 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
  • probability_evergreen_major-ai-regulation-federal-law-this-year Live probability: Will major federal AI regulation become law this year?. Stable evergreen URL for a recurring question: Will major federal AI regulation become law this year? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurre
  • probability_evergreen_nba-finals-winner 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_
  • probability_evergreen_next-cpi-above-consensus 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. Respons
  • probability_evergreen_next-fomc-dot-shift Live probability: Will the next FOMC dot plot shift its median?. Stable evergreen URL for a recurring question: Will the next FOMC dot plot shift its median? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds
  • probability_evergreen_next-gdp-print-positive 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_slu
  • probability_evergreen_next-hurricane-cat3-us-landfall Live probability: Will the next major hurricane (Cat 3+) make US landfall?. Stable evergreen URL for a recurring question: Will the next major hurricane (Cat 3+) make US landfall? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occ
  • probability_evergreen_next-nfp-above-consensus Live probability: Will the next jobs report beat consensus?. Stable evergreen URL for a recurring question: Will the next jobs report beat 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
  • probability_evergreen_opec-cut-next-meeting Live probability: Will OPEC+ cut production at its next meeting?. Stable evergreen URL for a recurring question: Will OPEC+ cut production at its next meeting? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response ad
  • probability_evergreen_oscars-best-picture Live probability: What wins Best Picture at the next Oscars?. Stable evergreen URL for a recurring question: What wins Best Picture at the next Oscars? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds curre
  • probability_evergreen_presidential-election-winner-party 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. R
  • probability_evergreen_senate-control-next-election 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. Respons
  • probability_evergreen_sp500-positive-this-year Live probability: Will the S&P 500 finish the year positive?. Stable evergreen URL for a recurring question: Will the S&P 500 finish the year positive? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds curre
  • probability_evergreen_superbowl-winner Live probability: Who wins the next Super Bowl?. Stable evergreen URL for a recurring question: Who wins the next Super Bowl? 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_
  • probability_evergreen_time-person-of-the-year Live probability: Who is TIME Person of the Year?. Stable evergreen URL for a recurring question: Who is TIME Person of the 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_n
  • probability_evergreen_us-china-tariff-change-this-quarter Live probability: Will US-China tariffs change this quarter?. Stable evergreen URL for a recurring question: Will US-China tariffs change this quarter? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds curre
  • probability_evergreen_us-recession-this-year Live probability: Will the US enter a recession this year?. Stable evergreen URL for a recurring question: Will the US enter a recession 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_s
  • probability_evergreen_world-series-winner 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_n
  • probability_get 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/p
  • probability_get-delayed Blended event probability across Kalshi and Polymarket for… (15m delayed, free). 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
  • probability_history 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
  • probability_liquidity 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. [HTTP: GET
  • probability_movers 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. [HTTP: GET /v1/movers · price $0.04 via x402 · docs https://x4
  • probability_movers-delayed Markets with the largest probability moves over 1h/6h/24h w… (15m delayed, free). 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. Delayed variant: identical shape to /v1/movers,
  • probability_movers_changes Free: count of materially-moved markets changed since your cursor. Free polling probe for /v1/movers/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/movers/changes · price free via x402 · docs
  • probability_movers_climate 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 market
  • probability_movers_crypto 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. [HTTP: GET /v1/movers/crypto · price
  • probability_movers_delta 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. Curs
  • probability_movers_economics 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. [HTTP: GET /v1/movers/econo
  • probability_movers_entertainment 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. [HTTP: GET /v1/
  • probability_movers_fed 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. [HTTP: GE
  • probability_movers_politics-us 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. [HTTP: GET /v1/movers
  • probability_movers_politics-world 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. [HTTP: GET /
  • probability_movers_science-tech 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 technolo
  • probability_movers_sports-mlb 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. [HTTP: GET /v1/mov
  • probability_movers_sports-nba 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. [HTTP: GET /
  • probability_movers_sports-nfl 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. [HTTP: GET /v1/mov
  • probability_movers_sports-soccer 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. [HTTP: GET /v1/movers/sports-soccer
  • probability_odds-compare 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 exc
  • probability_resolution 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. [HTTP: GET /v1/resolution/:sl
  • 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
  • probability_venue-calibration Free: how well prediction-market prices forecast outcomes, per venue. Calibration scorecard for prediction-market venues from resolved markets: the venue's implied probability at fixed horizons before resolution (24h, 7d, 30d) scored against what actually happened — Brier score, base rate, sharpness
  • probability_venue-calibration-detail Audit rows behind a venue-calibration cell: horizon prices and outcomes. The audit rows behind the free venue-calibration scorecard for one venue and category: each resolved market with its pre-resolution implied probability at every captured horizon (24h, 7d, 30d), its outcome, and resolution time
  • weather_alerts-severe 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
  • weather_alerts_fire-weather 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. [HTTP: GET /v1/alerts/fire-weather · price $0.01 via x402 · docs https
  • weather_alerts_flood 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. [HTTP: GET /v1/alerts/flood · price $0.01 via x402 · docs https://x402-factory.com/docs/wea
  • weather_alerts_heat 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. [HTTP: GET /v1/alerts/heat · price $0.01 via x402 · docs https://x402-
  • weather_alerts_hurricane 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. [HTTP: GET /v1/alerts/
  • weather_alerts_tornado 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. [HTTP: GET /v1/alerts/tornado · price $0.01 via x402 · docs https://x402-factory.com/
  • weather_alerts_winter 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. [HTTP: GET /v1/alerts/winter · price $0.01 via x402 · docs https://x40
  • weather_aviation-delay-risk 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. [HTTP: GET /v1/
  • weather_aviation_atl 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 de
  • weather_aviation_bos 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 endpo
  • weather_aviation_clt 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
  • weather_aviation_den 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-ri
  • weather_aviation_dfw 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
  • weather_aviation_dtw 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 endp
  • weather_aviation_ewr 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 end
  • weather_aviation_fll 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 del
  • weather_aviation_iah 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 endpo
  • weather_aviation_jfk 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 endpo
  • weather_aviation_las 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-ri
  • weather_aviation_lax 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 del
  • weather_aviation_lga 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
  • weather_aviation_mco 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-r
  • weather_aviation_mia 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-ris
  • weather_aviation_msp 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-ri
  • weather_aviation_ord 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 end
  • weather_aviation_phx 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
  • weather_aviation_sea 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 end
  • weather_aviation_sfo 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 d
  • weather_energy-region 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. [
  • weather_forecast-point 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=metri
  • weather_forecast-probabilistic 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
  • weather_forecast-window 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
  • weather_forecast-window_atlanta 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 Atl
  • weather_forecast-window_austin 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 Austi
  • weather_forecast-window_boston 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 Bosto
  • weather_forecast-window_charlotte 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
  • weather_forecast-window_chicago 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 Chi
  • weather_forecast-window_dallas 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 Dalla
  • weather_forecast-window_denver 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 Denve
  • weather_forecast-window_detroit 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 Det
  • weather_forecast-window_houston 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 Hou
  • weather_forecast-window_jacksonville 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 wi
  • weather_forecast-window_las-vegas 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
  • weather_forecast-window_los-angeles 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
  • weather_forecast-window_miami 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 c
  • weather_forecast-window_minneapolis 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
  • weather_forecast-window_nashville 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
  • weather_forecast-window_nyc 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
  • weather_forecast-window_philadelphia 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 wi
  • weather_forecast-window_phoenix 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 Pho
  • weather_forecast-window_portland 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 P
  • weather_forecast-window_san-antonio 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
  • weather_forecast-window_san-diego 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
  • weather_forecast-window_san-francisco 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
  • weather_forecast-window_san-jose 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 S
  • weather_forecast-window_seattle 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 Sea
  • weather_forecast-window_washington-dc 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/windo
  • weather_forecast_atlanta 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
  • weather_forecast_austin 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 i
  • weather_forecast_boston 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 i
  • weather_forecast_charlotte 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 prod
  • weather_forecast_chicago 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
  • weather_forecast_dallas 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 i
  • weather_forecast_denver 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 i
  • weather_forecast_detroit 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
  • weather_forecast_houston 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

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