MCP server

X402 Factory

io.github.praneeth12098/x402-factory

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Working at last checkAbout 54,989 tokens per request once connected219 tools

Source

https://x402-factory.com/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 219
Token cost: About 54,989 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http x402-factory https://x402-factory.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.x402-factory]
url = "https://x402-factory.com/mcp"

Gemini CLI

{"mcpServers":{"x402-factory":{"httpUrl":"https://x402-factory.com/mcp"}}}

Cursor

{"mcpServers":{"x402-factory":{"url":"https://x402-factory.com/mcp"}}}

VS Code

{"servers":{"x402-factory":{"type":"http","url":"https://x402-factory.com/mcp"}}}

Antigravity

agy mcp add x402-factory https://x402-factory.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"x402-factory","server_url":"https://x402-factory.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"x402-factory","server_url":"https://x402-factory.com/mcp"}

Tools

core_ping ~118 tokens
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 ~152 tokens
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 ~155 tokens
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 ~190 tokens
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 ~245 tokens
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 ~245 tokens
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 ~206 tokens
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 ~196 tokens
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 ~196 tokens
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 ~188 tokens
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 ~201 tokens
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 ~198 tokens
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 ~202 tokens
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 ~205 tokens
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 ~195 tokens
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 ~199 tokens
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 ~204 tokens
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 ~202 tokens
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 ~200 tokens
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 ~200 tokens
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 ~216 tokens
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 ~240 tokens
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 ~636 tokens
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 ~178 tokens
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 ~328 tokens
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 ~375 tokens
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 ~359 tokens
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 ~191 tokens
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 ~246 tokens
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 ~204 tokens
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 ~423 tokens
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 ~304 tokens
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 ~303 tokens
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 ~183 tokens
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 ~235 tokens
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 ~314 tokens
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 ~311 tokens
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 ~300 tokens
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 ~298 tokens
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 ~304 tokens
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 ~297 tokens
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 ~428 tokens
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 ~250 tokens
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 ~232 tokens
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 ~287 tokens
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 ~306 tokens
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 ~178 tokens
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 ~275 tokens
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 ~229 tokens
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 ~271 tokens
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 ~274 tokens
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 ~267 tokens
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 ~268 tokens
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 ~255 tokens
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 ~192 tokens
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 ~180 tokens
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 ~310 tokens
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 ~185 tokens
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 ~192 tokens
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 ~185 tokens
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 ~189 tokens
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 ~194 tokens
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 ~199 tokens
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 ~189 tokens
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 ~190 tokens
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 ~189 tokens
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 ~186 tokens
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 ~271 tokens
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 ~189 tokens
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 ~217 tokens
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 ~202 tokens
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 ~242 tokens
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 ~208 tokens
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 ~216 tokens
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 ~209 tokens
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 ~212 tokens
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 ~218 tokens
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 ~225 tokens
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 ~212 tokens
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 ~214 tokens
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 ~212 tokens
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 ~208 tokens
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 ~266 tokens
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 ~316 tokens
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 ~209 tokens
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 ~188 tokens
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 ~186 tokens
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 ~191 tokens
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 ~193 tokens
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 ~194 tokens
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 ~205 tokens
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 ~198 tokens
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 ~214 tokens
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 ~179 tokens
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 ~196 tokens
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 ~190 tokens
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 ~190 tokens
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 ~207 tokens
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 ~192 tokens
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 ~192 tokens
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 ~188 tokens
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 ~206 tokens
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 ~200 tokens
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 ~193 tokens
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 ~178 tokens
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 ~186 tokens
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 ~202 tokens
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 ~190 tokens
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 ~182 tokens
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 ~207 tokens
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 ~255 tokens
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 ~355 tokens
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 ~193 tokens
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 ~318 tokens
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 ~364 tokens
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 ~184 tokens
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 ~268 tokens
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 ~256 tokens
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 ~237 tokens
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 ~262 tokens
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 ~268 tokens
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 ~262 tokens
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 ~265 tokens
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 ~270 tokens
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 ~275 tokens
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 ~265 tokens
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 ~267 tokens
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 ~265 tokens
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 ~262 tokens
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 ~185 tokens
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 ~171 tokens
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 ~229 tokens
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 ~279 tokens
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 ~274 tokens
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 ~255 tokens
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 ~192 tokens
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 ~180 tokens
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 ~185 tokens
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 ~203 tokens
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 ~183 tokens
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 ~186 tokens
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 ~185 tokens
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 ~166 tokens
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 ~162 tokens
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 ~163 tokens
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 ~164 tokens
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 ~163 tokens
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 ~162 tokens
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 ~162 tokens
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 ~166 tokens
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 ~162 tokens
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 ~162 tokens
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 ~164 tokens
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 ~166 tokens
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 ~164 tokens
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 ~164 tokens
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 ~164 tokens
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 ~164 tokens
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 ~162 tokens
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 ~164 tokens
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 ~162 tokens
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 ~166 tokens
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 ~205 tokens
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 ~279 tokens
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 ~268 tokens
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 ~457 tokens
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 ~425 tokens
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 ~423 tokens
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 ~423 tokens
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 ~428 tokens
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 ~425 tokens
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 ~423 tokens
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 ~423 tokens
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 ~425 tokens
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 ~425 tokens
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 ~434 tokens
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 ~428 tokens
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 ~432 tokens
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 ~422 tokens
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 ~432 tokens
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 ~428 tokens
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 ~427 tokens
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 ~434 tokens
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 ~425 tokens
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 ~427 tokens
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 ~432 tokens
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 ~428 tokens
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 ~435 tokens
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 ~427 tokens
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 ~425 tokens
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 ~436 tokens
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 ~238 tokens
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 ~237 tokens
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 ~237 tokens
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 ~242 tokens
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 ~238 tokens
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 ~237 tokens
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 ~237 tokens
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 ~238 tokens
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 ~238 tokens
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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