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io.github.praneeth12098/x402-factory
serveur MCP (Model Context Protocol) · x402-factory 1.0.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que io.github.praneeth12098/x402-factory est sûr ?
Au dernier audit MCP Hub, le serveur MCP « io.github.praneeth12098/x402-factory » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 219 outils
- core_ping≈ 105 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]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "core_ping", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_calendar≈ 135 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 series view. [HTTP: GET /v1/econ/calendar · price $0.01 via x402 · docs https://x402-factory.com/docs/econ.calendar]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_calendar", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_dashboard≈ 138 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 fifteen reads. [HTTP: GET /v1/econ/dashboard · price $0.03 via x402 · docs https://x402-factory.com/docs/econ.dashboard]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_dashboard", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_dashboard_changes≈ 170 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 · price free via x402 · docs https://x402-factory.com/docs/econ.dashboard.changes]
Paramètres, retour & exemple (1)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "econ_dashboard_changes", "arguments": {"since": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_dashboard_delta≈ 218 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 once to bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/econ/dashboard/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/econ/dashboard/delta · price $0.015 via x402 · docs https://x402-factory.com/docs/econ.dashboard.delta]
Paramètres, retour & exemple (1)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "econ_dashboard_delta", "arguments": {"since": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series≈ 218 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-implied when a matching prediction market exists, else a trend model — the next scheduled release date, and a 12-observation mini-series. Public-domain federal data only. [HTTP: GET /v1/econ/:series · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series]
Paramètres, retour & exemple (1)
Paramètresseries· string · requis
Series slug, e.g. cpi, core-cpi, payrolls (GET /v1/econ/calendar lists all)
Exemple d'appel{"name": "econ_series", "arguments": {"series": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_building-permits≈ 182 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 prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to building-permits. [HTTP: GET /v1/econ/building-permits · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.building-permits]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_building-permits", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_core-cpi≈ 174 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 prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to core-cpi. [HTTP: GET /v1/econ/core-cpi · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.core-cpi]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_core-cpi", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_core-pce≈ 174 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 prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to core-pce. [HTTP: GET /v1/econ/core-pce · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.core-pce]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_core-pce", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_cpi≈ 166 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 exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to cpi. [HTTP: GET /v1/econ/cpi · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.cpi]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_cpi", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_fed-funds≈ 178 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 matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to fed-funds. [HTTP: GET /v1/econ/fed-funds · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.fed-funds]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_fed-funds", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_gdp-growth≈ 175 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 market exists, else trend-model), next quarterly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to gdp-growth. [HTTP: GET /v1/econ/gdp-growth · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.gdp-growth]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_gdp-growth", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_housing-starts≈ 179 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 prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to housing-starts. [HTTP: GET /v1/econ/housing-starts · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.housing-starts]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_housing-starts", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_initial-claims≈ 181 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 prediction market exists, else trend-model), next weekly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to initial-claims. [HTTP: GET /v1/econ/initial-claims · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.initial-claims]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_initial-claims", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_payrolls≈ 172 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 market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to payrolls. [HTTP: GET /v1/econ/payrolls · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.payrolls]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_payrolls", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_pce-inflation≈ 176 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 exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to pce-inflation. [HTTP: GET /v1/econ/pce-inflation · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.pce-inflation]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_pce-inflation", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_retail-sales≈ 180 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 matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to retail-sales. [HTTP: GET /v1/econ/retail-sales · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.retail-sales]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_retail-sales", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_treasury-10y≈ 178 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 prediction market exists, else trend-model), next daily release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to treasury-10y. [HTTP: GET /v1/econ/treasury-10y · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.treasury-10y]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_treasury-10y", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_treasury-2y≈ 177 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 prediction market exists, else trend-model), next daily release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to treasury-2y. [HTTP: GET /v1/econ/treasury-2y · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.treasury-2y]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_treasury-2y", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - econ_series_unemployment≈ 177 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 prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to unemployment. [HTTP: GET /v1/econ/unemployment · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.unemployment]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "econ_series_unemployment", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edge_backtest≈ 195 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_label is explicit about which model produced the signals. [HTTP: GET /v1/edge/backtest · price $0.05 via x402 · docs https://x402-factory.com/docs/edge.backtest]
Paramètres, retour & exemple (2)
Paramètreswindow· integer · requismin_divergence· number · optionnel
Exemple d'appel{"name": "edge_backtest", "arguments": {"window": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edge_calibration≈ 212 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 signal payloads. The allowlist is derived from this data on a schedule — never hand-edited — and computed per model_version: a class earns entry on current-version evidence only, with earlier versions' tables kept visible as labeled history. Free forever so you can judge signal quality before paying for signals. [HTTP: GET /v1/edge/calibration · price free via x402 · docs https://x402-factory.com/docs/edge.calibration]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "edge_calibration", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edge_climate-events-probability≈ 575 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 they return INVALID_PARAMS rather than an estimate. Precipitation, wind, and named-storm events answer for any US point (NWS-derived). When a listed prediction market covers the same event, it is cross-referenced. [HTTP: GET /v1/climate-events/probability · price $0.05 via x402 · docs https://x402-factory.com/docs/edge.climate-events-probability]
Paramètres, retour & exemple (8)
Paramètreslat· number · optionnellon· number · optionnelcity· string · optionnel
Major US city name as an alternative to lat/loncondition· string · requis · temp_above | temp_below | precip_above | wind_above | any_precip | named_storm_landfallthreshold· number · optionnel
Metric units: °C for temp, mm for precip, kph for windwindow_end· string · requiswindow_stat· string · requis · max | min
Binding statistic for temperature events: max (default) or min; exact semantics in docswindow_start· string · requis
Exemple d'appel{"name": "edge_climate-events-probability", "arguments": {"condition": "temp_above", "window_end": "texte", "window_stat": "max", "window_start": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edge_detail≈ 160 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 /v1/edge/weather-markets. [HTTP: GET /v1/edge/:slug · price $0.1 via x402 · docs https://x402-factory.com/docs/edge.detail]
Paramètres, retour & exemple (1)
Paramètresslug· string · requis
Exemple d'appel{"name": "edge_detail", "arguments": {"slug": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edge_weather-markets≈ 298 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 market liquidity. parse_coverage reports how much of the weather catalog is covered. Signals are emitted only for market classes that pass our public calibration gate (free at /v1/edge/calibration). [HTTP: GET /v1/edge/weather-markets · price $0.15 via x402 · docs https://x402-factory.com/docs/edge.weather-markets]
Paramètres, retour & exemple (4)
Paramètreslimit· integer · requishazard· string · optionnel · temperature | precipitation | hurricane
Filter signals to one hazard classregion· string · optionnel
Match against city region (e.g. northeast) or question textmin_divergence· number · optionnel
Exemple d'appel{"name": "edge_weather-markets", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edge_weather-markets-delayed≈ 339 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), and market liquidity. parse_coverage reports how much of the weather catalog is covered. Signals are emitted only for market classes that pass our public calibration gate (free at /v1/edge/calibration). Delayed variant: identical shape to /v1/edge/weather-markets, served at least 15 minutes stale. Use the paid endpoint for realtime data. [HTTP: GET /v1/edge/weather-markets-delayed · price free via x402 · docs https://x402-factory.com/docs/edge.weather-markets-delayed]
Paramètres, retour & exemple (4)
Paramètreslimit· integer · requishazard· string · optionnel · temperature | precipitation | hurricane
Filter signals to one hazard classregion· string · optionnel
Match against city region (e.g. northeast) or question textmin_divergence· number · optionnel
Exemple d'appel{"name": "edge_weather-markets-delayed", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_contracts-awards≈ 328 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. [HTTP: GET /v1/contracts/awards · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.contracts-awards]
Paramètres, retour & exemple (6)
Paramètreslimit· integer · requisnaics· string · optionnelsince· string · optionnel
Awards starting on/after this dateagency· string · optionnel
Substring match on awarding agencyvendor· string · optionnel
Substring match on recipient namemin_value_usd· number · optionnel
Exemple d'appel{"name": "gov_contracts-awards", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_contracts-awards_changes≈ 171 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 free via x402 · docs https://x402-factory.com/docs/gov.contracts-awards.changes]
Paramètres, retour & exemple (1)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "gov_contracts-awards_changes", "arguments": {"since": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_contracts-awards_delta≈ 219 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 bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/contracts/awards/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/contracts/awards/delta · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.contracts-awards.delta]
Paramètres, retour & exemple (1)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "gov_contracts-awards_delta", "arguments": {"since": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-13f-diff≈ 184 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. [HTTP: GET /v1/edgar/13f/:cik/diff · price $0.05 via x402 · docs https://x402-factory.com/docs/gov.edgar-13f-diff]
Paramètres, retour & exemple (2)
Paramètrescik· string · requisquarter· string · optionnel
Defaults to the latest filed quarter
Exemple d'appel{"name": "gov_edgar-13f-diff", "arguments": {"cik": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-events≈ 386 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. Filter by ticker, event type, or date. [HTTP: GET /v1/edgar/events · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events]
Paramètres, retour & exemple (4)
Paramètrestype· string · optionnel · acquisition_disposition | agreement_termination | auditor_change | bankruptcy | charter_amendment | code_of_ethics | control_change | debt_accelerationlimit· integer · requissince· string · optionnel
Only events filed on/after this dateticker· string · optionnel
Exemple d'appel{"name": "gov_edgar-events", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-events_acquisitions≈ 275 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 events. [HTTP: GET /v1/edgar/events/acquisitions · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.acquisitions]
Paramètres, retour & exemple (3)
Paramètreslimit· integer · requissince· string · optionnel
Only events filed on/after this dateticker· string · optionnel
Exemple d'appel{"name": "gov_edgar-events_acquisitions", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-events_bankruptcy≈ 274 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 events. [HTTP: GET /v1/edgar/events/bankruptcy · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.bankruptcy]
Paramètres, retour & exemple (3)
Paramètreslimit· integer · requissince· string · optionnel
Only events filed on/after this dateticker· string · optionnel
Exemple d'appel{"name": "gov_edgar-events_bankruptcy", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-events_changes≈ 164 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 https://x402-factory.com/docs/gov.edgar-events.changes]
Paramètres, retour & exemple (1)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "gov_edgar-events_changes", "arguments": {"since": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-events_delta≈ 210 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 stable across restarts. Poll the free sibling /v1/edgar/events/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/edgar/events/delta · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.delta]
Paramètres, retour & exemple (1)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "gov_edgar-events_delta", "arguments": {"since": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-events_leadership-change≈ 284 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-filtered to Item 5.02 events. [HTTP: GET /v1/edgar/events/leadership-change · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.leadership-change]
Paramètres, retour & exemple (3)
Paramètreslimit· integer · requissince· string · optionnel
Only events filed on/after this dateticker· string · optionnel
Exemple d'appel{"name": "gov_edgar-events_leadership-change", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-events_material-agreement≈ 281 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 events. [HTTP: GET /v1/edgar/events/material-agreement · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.material-agreement]
Paramètres, retour & exemple (3)
Paramètreslimit· integer · requissince· string · optionnel
Only events filed on/after this dateticker· string · optionnel
Exemple d'appel{"name": "gov_edgar-events_material-agreement", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-events_other-events≈ 272 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 /v1/edgar/events/other-events · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.other-events]
Paramètres, retour & exemple (3)
Paramètreslimit· integer · requissince· string · optionnel
Only events filed on/after this dateticker· string · optionnel
Exemple d'appel{"name": "gov_edgar-events_other-events", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-events_reg-fd≈ 269 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. [HTTP: GET /v1/edgar/events/reg-fd · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.reg-fd]
Paramètres, retour & exemple (3)
Paramètreslimit· integer · requissince· string · optionnel
Only events filed on/after this dateticker· string · optionnel
Exemple d'appel{"name": "gov_edgar-events_reg-fd", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-events_restatement≈ 275 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 events. [HTTP: GET /v1/edgar/events/restatement · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.restatement]
Paramètres, retour & exemple (3)
Paramètreslimit· integer · requissince· string · optionnel
Only events filed on/after this dateticker· string · optionnel
Exemple d'appel{"name": "gov_edgar-events_restatement", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-events_results≈ 268 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: GET /v1/edgar/events/results · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.results]
Paramètres, retour & exemple (3)
Paramètreslimit· integer · requissince· string · optionnel
Only events filed on/after this dateticker· string · optionnel
Exemple d'appel{"name": "gov_edgar-events_results", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-filings-search≈ 389 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 matched document. [HTTP: GET /v1/edgar/filings/search · price $0.03 via x402 · docs https://x402-factory.com/docs/gov.edgar-filings-search]
Paramètres, retour & exemple (6)
Paramètresq· string · requis
Full-text query; quote phrases for exact matchlimit· integer · requisticker· string · optionneldate_to· string · optionneldate_from· string · optionnelform_type· string · optionnel
e.g. "8-K", "10-K", "S-1"
Exemple d'appel{"name": "gov_edgar-filings-search", "arguments": {"q": "texte", "limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-insider≈ 228 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 events. [HTTP: GET /v1/edgar/insider/:ticker · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-insider]
Paramètres, retour & exemple (3)
Paramètresdays· integer · requis
Lookback window in daysticker· string · requismin_value_usd· number · optionnel
Drop transactions below this absolute USD value
Exemple d'appel{"name": "gov_edgar-insider", "arguments": {"days": 1, "ticker": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-watch_changes≈ 210 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 · price free via x402 · docs https://x402-factory.com/docs/gov.edgar-watch.changes]
Paramètres, retour & exemple (2)
Paramètresform· string · requis · ipo-watch | activist-watch | offering-watch | annual-watch | delisting-watch | proxy-watchsince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "gov_edgar-watch_changes", "arguments": {"form": "ipo-watch"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_edgar-watch_delta≈ 258 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 bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/edgar/watch/:form/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/edgar/watch/:form/delta · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.edgar-watch.delta]
Paramètres, retour & exemple (2)
Paramètresform· string · requis · ipo-watch | activist-watch | offering-watch | annual-watch | delisting-watch | proxy-watchsince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "gov_edgar-watch_delta", "arguments": {"form": "ipo-watch"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_recalls≈ 278 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). Newest first. [HTTP: GET /v1/recalls · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.recalls]
Paramètres, retour & exemple (4)
Paramètresq· string · optionnel
Match against product, brand, or hazardlimit· integer · requissince· string · optionnelcategory· string · optionnel · food | drug | device | consumer | vehicle
Exemple d'appel{"name": "gov_recalls", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_recalls_changes≈ 160 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://x402-factory.com/docs/gov.recalls.changes]
Paramètres, retour & exemple (1)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "gov_recalls_changes", "arguments": {"since": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_recalls_consumer≈ 249 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 $0.01 via x402 · docs https://x402-factory.com/docs/gov.recalls.consumer]
Paramètres, retour & exemple (3)
Paramètresq· string · optionnel
Match against product, brand, or hazardlimit· integer · requissince· string · optionnel
Exemple d'appel{"name": "gov_recalls_consumer", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_recalls_delta≈ 204 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 across restarts. Poll the free sibling /v1/recalls/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/recalls/delta · price $0.005 via x402 · docs https://x402-factory.com/docs/gov.recalls.delta]
Paramètres, retour & exemple (1)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "gov_recalls_delta", "arguments": {"since": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_recalls_device≈ 246 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 via x402 · docs https://x402-factory.com/docs/gov.recalls.device]
Paramètres, retour & exemple (3)
Paramètresq· string · optionnel
Match against product, brand, or hazardlimit· integer · requissince· string · optionnel
Exemple d'appel{"name": "gov_recalls_device", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_recalls_drug≈ 248 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 · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.recalls.drug]
Paramètres, retour & exemple (3)
Paramètresq· string · optionnel
Match against product, brand, or hazardlimit· integer · requissince· string · optionnel
Exemple d'appel{"name": "gov_recalls_drug", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_recalls_food≈ 242 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 · docs https://x402-factory.com/docs/gov.recalls.food]
Paramètres, retour & exemple (3)
Paramètresq· string · optionnel
Match against product, brand, or hazardlimit· integer · requissince· string · optionnel
Exemple d'appel{"name": "gov_recalls_food", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - gov_recalls_vehicle≈ 243 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 · docs https://x402-factory.com/docs/gov.recalls.vehicle]
Paramètres, retour & exemple (3)
Paramètresq· string · optionnel
Match against product, brand, or hazardlimit· integer · requissince· string · optionnel
Exemple d'appel{"name": "gov_recalls_vehicle", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_changes≈ 231 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/changes · price free via x402 · docs https://x402-factory.com/docs/probability.board.changes]
Paramètres, retour & exemple (2)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at nowcategory· string · requis · politics-us | politics-world | economics | fed | crypto | sports-nfl | sports-nba | sports-mlb
Exemple d'appel{"name": "probability_board_changes", "arguments": {"category": "politics-us"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_climate≈ 172 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 state of climate and weather at a glance. [HTTP: GET /v1/board/climate · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.climate]
Paramètres, retour & exemple (1)
Paramètreslimit· integer · requis
Exemple d'appel{"name": "probability_board_climate", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_crypto≈ 162 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. [HTTP: GET /v1/board/crypto · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.crypto]
Paramètres, retour & exemple (1)
Paramètreslimit· integer · requis
Exemple d'appel{"name": "probability_board_crypto", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_delta≈ 280 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 once to bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/board/:category/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/board/:category/delta · price $0.015 via x402 · docs https://x402-factory.com/docs/probability.board.delta]
Paramètres, retour & exemple (2)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at nowcategory· string · requis · politics-us | politics-world | economics | fed | crypto | sports-nfl | sports-nba | sports-mlb
Exemple d'appel{"name": "probability_board_delta", "arguments": {"category": "politics-us"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_economics≈ 166 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 a glance. [HTTP: GET /v1/board/economics · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.economics]
Paramètres, retour & exemple (1)
Paramètreslimit· integer · requis
Exemple d'appel{"name": "probability_board_economics", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_entertainment≈ 172 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 entertainment at a glance. [HTTP: GET /v1/board/entertainment · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.entertainment]
Paramètres, retour & exemple (1)
Paramètreslimit· integer · requis
Exemple d'appel{"name": "probability_board_entertainment", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_fed≈ 166 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 Federal Reserve at a glance. [HTTP: GET /v1/board/fed · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.fed]
Paramètres, retour & exemple (1)
Paramètreslimit· integer · requis
Exemple d'appel{"name": "probability_board_fed", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_politics-us≈ 170 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 politics at a glance. [HTTP: GET /v1/board/politics-us · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.politics-us]
Paramètres, retour & exemple (1)
Paramètreslimit· integer · requis
Exemple d'appel{"name": "probability_board_politics-us", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_politics-world≈ 174 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 world politics at a glance. [HTTP: GET /v1/board/politics-world · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.politics-world]
Paramètres, retour & exemple (1)
Paramètreslimit· integer · requis
Exemple d'appel{"name": "probability_board_politics-world", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_science-tech≈ 178 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 the state of science and technology at a glance. [HTTP: GET /v1/board/science-tech · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.science-tech]
Paramètres, retour & exemple (1)
Paramètreslimit· integer · requis
Exemple d'appel{"name": "probability_board_science-tech", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_sports-mlb≈ 170 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 baseball at a glance. [HTTP: GET /v1/board/sports-mlb · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.sports-mlb]
Paramètres, retour & exemple (1)
Paramètreslimit· integer · requis
Exemple d'appel{"name": "probability_board_sports-mlb", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_sports-nba≈ 171 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 basketball at a glance. [HTTP: GET /v1/board/sports-nba · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.sports-nba]
Paramètres, retour & exemple (1)
Paramètreslimit· integer · requis
Exemple d'appel{"name": "probability_board_sports-nba", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_sports-nfl≈ 170 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 football at a glance. [HTTP: GET /v1/board/sports-nfl · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.sports-nfl]
Paramètres, retour & exemple (1)
Paramètreslimit· integer · requis
Exemple d'appel{"name": "probability_board_sports-nfl", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_board_sports-soccer≈ 167 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. [HTTP: GET /v1/board/sports-soccer · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.sports-soccer]
Paramètres, retour & exemple (1)
Paramètreslimit· integer · requis
Exemple d'appel{"name": "probability_board_sports-soccer", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar≈ 248 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 · docs https://x402-factory.com/docs/probability.calendar]
Paramètres, retour & exemple (3)
Paramètresdays· integer · requissegment· string · optionnel · politics-us | politics-world | economics | fed | crypto | sports-nfl | sports-nba | sports-mlb
Wave-1 fine taxonomy (12 segments); overrides categorycategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_changes≈ 169 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 via x402 · docs https://x402-factory.com/docs/probability.calendar.changes]
Paramètres, retour & exemple (1)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "probability_calendar_changes", "arguments": {"since": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_climate≈ 197 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. [HTTP: GET /v1/calendar/climate · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.climate]
Paramètres, retour & exemple (2)
Paramètresdays· integer · requiscategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar_climate", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_crypto≈ 184 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 x402 · docs https://x402-factory.com/docs/probability.calendar.crypto]
Paramètres, retour & exemple (2)
Paramètresdays· integer · requiscategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar_crypto", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_delta≈ 216 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 bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/calendar/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/calendar/delta · price $0.005 via x402 · docs https://x402-factory.com/docs/probability.calendar.delta]
Paramètres, retour & exemple (1)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "probability_calendar_delta", "arguments": {"since": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_economics≈ 189 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 · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.economics]
Paramètres, retour & exemple (2)
Paramètresdays· integer · requiscategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar_economics", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_entertainment≈ 196 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/entertainment · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.entertainment]
Paramètres, retour & exemple (2)
Paramètresdays· integer · requiscategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar_entertainment", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_fed≈ 190 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/calendar/fed · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.fed]
Paramètres, retour & exemple (2)
Paramètresdays· integer · requiscategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar_fed", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_politics-us≈ 192 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/politics-us · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.politics-us]
Paramètres, retour & exemple (2)
Paramètresdays· integer · requiscategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar_politics-us", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_politics-world≈ 198 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/calendar/politics-world · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.politics-world]
Paramètres, retour & exemple (2)
Paramètresdays· integer · requiscategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar_politics-world", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_science-tech≈ 204 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 technology markets. [HTTP: GET /v1/calendar/science-tech · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.science-tech]
Paramètres, retour & exemple (2)
Paramètresdays· integer · requiscategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar_science-tech", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_sports-mlb≈ 192 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/sports-mlb · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.sports-mlb]
Paramètres, retour & exemple (2)
Paramètresdays· integer · requiscategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar_sports-mlb", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_sports-nba≈ 194 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/calendar/sports-nba · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.sports-nba]
Paramètres, retour & exemple (2)
Paramètresdays· integer · requiscategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar_sports-nba", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_sports-nfl≈ 192 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/sports-nfl · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.sports-nfl]
Paramètres, retour & exemple (2)
Paramètresdays· integer · requiscategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar_sports-nfl", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_calendar_sports-soccer≈ 189 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 via x402 · docs https://x402-factory.com/docs/probability.calendar.sports-soccer]
Paramètres, retour & exemple (2)
Paramètresdays· integer · requiscategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainment
Exemple d'appel{"name": "probability_calendar_sports-soccer", "arguments": {"days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_cross-venue-disagreement≈ 239 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, which has been better calibrated in that category. Derived analytics; the calibration claim is audited by the free scorecard. [HTTP: GET /v1/cross-venue/disagreement · price $0.05 via x402 · docs https://x402-factory.com/docs/probability.cross-venue-disagreement]
Paramètres, retour & exemple (2)
Paramètresmin_gap· number · optionnel
Only rows whose venue gap is at least thiscategory· string · optionnel
Filter to one category, e.g. politics
Exemple d'appel{"name": "probability_cross-venue-disagreement", "arguments": {"min_gap": 1, "category": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_cross-venue-disagreement-delayed≈ 282 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 history proves it, which has been better calibrated in that category. Derived analytics; the calibration claim is audited by the free scorecard. Delayed variant: identical shape to /v1/cross-venue/disagreement, served at least 15 minutes stale. Use the paid endpoint for realtime data. [HTTP: GET /v1/cross-venue/disagreement-delayed · price free via x402 · docs https://x402-factory.com/docs/probability.cross-venue-disagreement-delayed]
Paramètres, retour & exemple (2)
Paramètresmin_gap· number · optionnel
Only rows whose venue gap is at least thiscategory· string · optionnel
Filter to one category, e.g. politics
Exemple d'appel{"name": "probability_cross-venue-disagreement-delayed", "arguments": {"min_gap": 1, "category": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_atlantic-named-storms-above-normal≈ 185 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 occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/atlantic-named-storms-above-normal · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.atlantic-named-storms-above-normal]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_atlantic-named-storms-above-normal", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_btc-above-100k-eoy≈ 166 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 current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/btc-above-100k-eoy · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.btc-above-100k-eoy]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_btc-above-100k-eoy", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_eth-above-5k-eoy≈ 164 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 current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/eth-above-5k-eoy · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.eth-above-5k-eoy]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_eth-above-5k-eoy", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_fed-chair-change-this-year≈ 169 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 rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/fed-chair-change-this-year · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.fed-chair-change-this-year]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_fed-chair-change-this-year", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_fed-next-meeting-cut≈ 170 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. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/fed-next-meeting-cut · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.fed-next-meeting-cut]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_fed-next-meeting-cut", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_fed-next-meeting-hike≈ 172 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. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/fed-next-meeting-hike · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.fed-next-meeting-hike]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_fed-next-meeting-hike", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_government-shutdown-this-quarter≈ 182 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. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/government-shutdown-this-quarter · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.government-shutdown-this-quarter]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_government-shutdown-this-quarter", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_house-control-next-election≈ 175 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 adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/house-control-next-election · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.house-control-next-election]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_house-control-next-election", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_major-ai-regulation-federal-law-this-year≈ 189 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 occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/major-ai-regulation-federal-law-this-year · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.major-ai-regulation-federal-law-this-year]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_major-ai-regulation-federal-law-this-year", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_nba-finals-winner≈ 159 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_at to the standard probability shape. [HTTP: GET /v1/evergreen/nba-finals-winner · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.nba-finals-winner]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_nba-finals-winner", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_next-cpi-above-consensus≈ 174 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. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/next-cpi-above-consensus · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.next-cpi-above-consensus]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_next-cpi-above-consensus", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_next-fomc-dot-shift≈ 168 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 current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/next-fomc-dot-shift · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.next-fomc-dot-shift]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_next-fomc-dot-shift", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_next-gdp-print-positive≈ 168 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_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/next-gdp-print-positive · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.next-gdp-print-positive]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_next-gdp-print-positive", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_next-hurricane-cat3-us-landfall≈ 183 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 occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/next-hurricane-cat3-us-landfall · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.next-hurricane-cat3-us-landfall]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_next-hurricane-cat3-us-landfall", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_next-nfp-above-consensus≈ 170 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_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/next-nfp-above-consensus · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.next-nfp-above-consensus]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_next-nfp-above-consensus", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_opec-cut-next-meeting≈ 170 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 adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/opec-cut-next-meeting · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.opec-cut-next-meeting]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_opec-cut-next-meeting", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_oscars-best-picture≈ 167 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 current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/oscars-best-picture · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.oscars-best-picture]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_oscars-best-picture", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_presidential-election-winner-party≈ 182 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. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/presidential-election-winner-party · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.presidential-election-winner-party]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_presidential-election-winner-party", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_senate-control-next-election≈ 176 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. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/senate-control-next-election · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.senate-control-next-election]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_senate-control-next-election", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_sp500-positive-this-year≈ 170 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 current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/sp500-positive-this-year · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.sp500-positive-this-year]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_sp500-positive-this-year", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_superbowl-winner≈ 158 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_at to the standard probability shape. [HTTP: GET /v1/evergreen/superbowl-winner · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.superbowl-winner]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_superbowl-winner", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_time-person-of-the-year≈ 164 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_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/time-person-of-the-year · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.time-person-of-the-year]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_time-person-of-the-year", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_us-china-tariff-change-this-quarter≈ 179 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 current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/us-china-tariff-change-this-quarter · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.us-china-tariff-change-this-quarter]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_us-china-tariff-change-this-quarter", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_us-recession-this-year≈ 168 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_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/us-recession-this-year · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.us-recession-this-year]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_us-recession-this-year", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_evergreen_world-series-winner≈ 161 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_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/world-series-winner · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.world-series-winner]
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "probability_evergreen_world-series-winner", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_get≈ 187 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/probability/search. [HTTP: GET /v1/probability/:slug · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.get]
Paramètres, retour & exemple (2)
Paramètresslug· string · requisvenue· string · requis · kalshi | polymarket | blend
Exemple d'appel{"name": "probability_get", "arguments": {"slug": "texte", "venue": "kalshi"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_get-delayed≈ 229 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 via /v1/probability/search. Delayed variant: identical shape to /v1/probability/:slug, served at least 15 minutes stale. Use the paid endpoint for realtime data. [HTTP: GET /v1/probability-delayed/:slug · price free via x402 · docs https://x402-factory.com/docs/probability.get-delayed]
Paramètres, retour & exemple (2)
Paramètresslug· string · requisvenue· string · requis · kalshi | polymarket | blend
Exemple d'appel{"name": "probability_get-delayed", "arguments": {"slug": "texte", "venue": "kalshi"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_history≈ 320 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 reads. [HTTP: GET /v1/history/:slug · price $0.05 via x402 · docs https://x402-factory.com/docs/probability.history]
Paramètres, retour & exemple (4)
Paramètresto· string · optionnelfrom· string · optionnelslug· string · requisgranularity· string · requis · hour | day
Exemple d'appel{"name": "probability_history", "arguments": {"slug": "texte", "granularity": "hour"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_liquidity≈ 174 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 /v1/liquidity/:slug · price $0.03 via x402 · docs https://x402-factory.com/docs/probability.liquidity]
Paramètres, retour & exemple (2)
Paramètresslug· string · requisnotional_usd· number · optionnel
Exemple d'appel{"name": "probability_liquidity", "arguments": {"slug": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_movers≈ 294 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://x402-factory.com/docs/probability.movers]
Paramètres, retour & exemple (5)
Paramètreslimit· integer · requiswindow· string · requis · 1h | 6h | 24hsegment· string · optionnel · politics-us | politics-world | economics | fed | crypto | sports-nfl | sports-nba | sports-mlb
Wave-1 fine taxonomy (12 segments); overrides categorycategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainmentmin_liquidity· number · optionnel
Minimum liquidity_score (0–1)
Exemple d'appel{"name": "probability_movers", "arguments": {"limit": 1, "window": "1h"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_movers-delayed≈ 335 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, served at least 15 minutes stale. Use the paid endpoint for realtime data. [HTTP: GET /v1/movers-delayed · price free via x402 · docs https://x402-factory.com/docs/probability.movers-delayed]
Paramètres, retour & exemple (5)
Paramètreslimit· integer · requiswindow· string · requis · 1h | 6h | 24hsegment· string · optionnel · politics-us | politics-world | economics | fed | crypto | sports-nfl | sports-nba | sports-mlb
Wave-1 fine taxonomy (12 segments); overrides categorycategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainmentmin_liquidity· number · optionnel
Minimum liquidity_score (0–1)
Exemple d'appel{"name": "probability_movers-delayed", "arguments": {"limit": 1, "window": "1h"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_movers_changes≈ 165 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 https://x402-factory.com/docs/probability.movers.changes]
Paramètres, retour & exemple (1)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "probability_movers_changes", "arguments": {"since": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_movers_climate≈ 247 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 markets. [HTTP: GET /v1/movers/climate · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.climate]
Paramètres, retour & exemple (4)
Paramètreslimit· integer · requiswindow· string · requis · 1h | 6h | 24hcategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainmentmin_liquidity· number · optionnel
Minimum liquidity_score (0–1)
Exemple d'appel{"name": "probability_movers_climate", "arguments": {"limit": 1, "window": "1h"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_movers_crypto≈ 236 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 $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.crypto]
Paramètres, retour & exemple (4)
Paramètreslimit· integer · requiswindow· string · requis · 1h | 6h | 24hcategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainmentmin_liquidity· number · optionnel
Minimum liquidity_score (0–1)
Exemple d'appel{"name": "probability_movers_crypto", "arguments": {"limit": 1, "window": "1h"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_movers_delta≈ 211 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. Cursors are stable across restarts. Poll the free sibling /v1/movers/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/movers/delta · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.movers.delta]
Paramètres, retour & exemple (1)
Paramètressince· string · optionnel
Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now
Exemple d'appel{"name": "probability_movers_delta", "arguments": {"since": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - probability_movers_economics≈ 241 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/economics · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.economics]
Paramètres, retour & exemple (4)
Paramètreslimit· integer · requiswindow· string · requis · 1h | 6h | 24hcategory· string · optionnel · politics | economics | weather | crypto | sports | science-tech | entertainmentmin_liquidity· number · optionnel
Minimum liquidity_score (0–1)
Exemple d'appel{"name": "probability_movers_economics", "arguments": {"limit": 1, "window": "1h"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
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