x402-factory
Cheapest endpoint: liveness plus x402 payment pipeline check — Returns ok with the server time and whether this call was paid. Use it to verify your x402 client end to end before spending on data endpoints.
- Category
- Social & people
- Starting price
- $0.001
- Paid calls · 30 days
- 283
- Unique payers · 30 days
- 167
Paid endpoints
114 endpoints, sorted by usage. Prices are per request.
- GET/v1/aviation/delay-risk/SEA
SEA weather delay risk for the next 48 hours — Weather-driven delay risk for Seattle-Tacoma (SEA) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to SEA.
$0.02Base1calls / 30d - GET/v1/econ/building-permits
Building permits (Census, monthly): latest print, revisions, surprise — Latest Building permits print from the Census via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation…
$0.02Base1calls / 30d - GET/v1/econ/fed-funds
Effective fed funds rate (Fed, monthly): latest print, revisions, surprise — Latest Effective fed funds rate print from the Fed via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation…
$0.02Base1calls / 30d - GET/v1/econ/gdp-growth
Real GDP growth (BEA, quarterly): latest print, revisions, surprise — Latest Real GDP growth print from the BEA via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next quarterly release date, and a 12-observation mini-series.…
$0.02Base1calls / 30d - GET/v1/econ/retail-sales
Advance retail sales (Census, monthly): latest print, revisions, surprise — Latest Advance retail sales print from the Census via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation…
$0.02Base1calls / 30d - GET/v1/edgar/events/bankruptcy
Latest bankruptcy and receivership 8-K events as structured JSON — Latest 8-K filings classified as bankruptcy and receivership (Item 1.03) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 1.03 events.
$0.02Base1calls / 30d - GET/v1/edgar/events/leadership-change
Latest executive and board leadership change 8-K events as structured JSON — Latest 8-K filings classified as executive and board leadership change (Item 5.02) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 5.02 events.
$0.02Base1calls / 30d - GET/v1/edgar/events/results
Latest results of operations 8-K events as structured JSON — Latest 8-K filings classified as results of operations (Item 2.02) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 2.02 events.
$0.02Base1calls / 30d - GET/v1/evergreen/us-recession-this-year
Live probability: Will the US enter a recession this year? — Stable evergreen URL for a recurring question: Will the US enter a recession this year? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape.
$0.02Base1calls / 30d - GET/v1/forecast/atlanta/window
Will it rain in Atlanta during your event window — Event-window weather odds for Atlanta: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Atlanta coordinates built in.
$0.02Base1calls / 30d - GET/v1/forecast/austin/window
Will it rain in Austin during your event window — Event-window weather odds for Austin: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Austin coordinates built in.
$0.02Base1calls / 30d - GET/v1/forecast/los-angeles/window
Will it rain in Los Angeles during your event window — Event-window weather odds for Los Angeles: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Los Angeles coordinates built in.
$0.02Base1calls / 30d - GET/v1/forecast/miami/window
Will it rain in Miami during your event window — Event-window weather odds for Miami: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Miami coordinates built in.
$0.02Base1calls / 30d - GET/v1/forecast/probabilistic
Percentile bands (p10–p90) for temp, precip, or wind — Hourly p10/p25/p50/p75/p90 bands for one variable at a coordinate. Temperature bands come from the model's empirical calibration; precipitation and wind bands are NWS-derived approximations, disclosed in the response's method label. Metric units (°C, mm, kph). Horizons cap at 168h. Use it to reason about uncertainty, not just point values.
$0.03Base1calls / 30d