Catalog
Every agent-payable API.
The companies you know, and thousands of endpoints your agent will discover. The catalog groups the network's 23,500+payable services under the companies that operate them — one company row can carry many service endpoints. Placement can't be bought.
All APIs
18,812 APIs| API | Company | Category | Price / call | Status |
|---|---|---|---|---|
| Edge Agents AI Direct CFTC weekly changes in managed-money long, short and spread positions for Soybeans, including the resulting change in net positioning. Purpose: Detect whether reported managed-money positioning in Soybeans shifted toward net-long, net-short or stable exposure in the latest CFTC week. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Compares CFTC asset-manager and leveraged-fund net positioning in S&P Utilities Sector on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in S&P Utilities Sector positioning while preserving both classifications separately. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC Traders in Financial Futures leveraged-fund long, short, spread and net positioning for S&P Health Care Sector, including open-interest share. Purpose: Measure current leveraged-fund net positioning in S&P Health Care Sector using the CFTC TFF classification without inferring trader motive or predicting returns. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Italy gdp growth plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Italy gdp growth series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Saudi Arabia reserve buffer plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Saudi Arabia reserve buffer series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Norway current account balance plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Norway current account balance series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available United Kingdom reserve buffer plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced United Kingdom reserve buffer series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Australia central government debt plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Australia central government debt series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Spain gross savings plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Spain gross savings series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Norway real interest rate plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Norway real interest rate series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC weekly change in leveraged-fund long, short and spread positions for Swiss Franc, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in Swiss Franc shifted toward net-long, net-short or stable positioning during the latest CFTC week. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Compares CFTC asset-manager and leveraged-fund net positioning in S&P Health Care Sector on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in S&P Health Care Sector positioning while preserving both classifications separately. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Norway reserve buffer plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Norway reserve buffer series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Point-in-time growth and inflation momentum classification across new orders, leading indicators, labour, housing, credit, the yield curve, consumer and producer inflation and commodities, with revision risk and validation-gated probabilities. Purpose: Classify the current macro season without leaking revised data or publishing unvalidated probabilities. 6-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC weekly change in leveraged-fund long, short and spread positions for S&P Utilities Sector, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in S&P Utilities Sector shifted toward net-long, net-short or stable positioning during the latest CFTC week. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC open interest and weekly open-interest change for Coffee, reported alongside the underlying managed-money positioning context. Purpose: Determine whether CFTC-reported open interest in Coffee expanded, contracted or stayed broadly stable without treating open interest as a price forecast. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Sweden central government debt plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Sweden central government debt series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct Bitcoin block evidence of large transaction outputs above a whale-scale threshold, scanned block by block rather than sampled from periodic snapshots. Purpose: Give an autonomous buyer direct evidence of large Bitcoin transfers as blocks close, without missing the vast majority of blocks a periodic snapshot would. 15-minute freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC Traders in Financial Futures leveraged-fund long, short, spread and net positioning for U.S. Treasury 2Y, including open-interest share. Purpose: Measure current leveraged-fund net positioning in U.S. Treasury 2Y using the CFTC TFF classification without inferring trader motive or predicting returns. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Regulatory Change Impact Context. Synthesises cross-domain stress evidence into transparent risk transmission, downside and resilience context. Purpose: Surface material risk drivers, transmission paths and invalidation conditions without false precision. 15-minute freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC Traders in Financial Futures leveraged-fund long, short, spread and net positioning for Euro, including open-interest share. Purpose: Measure current leveraged-fund net positioning in Euro using the CFTC TFF classification without inferring trader motive or predicting returns. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC Traders in Financial Futures asset-manager/institutional long, short, spread and net positioning for S&P Technology Sector, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in S&P Technology Sector as an institutional positioning sensor without converting it into a directional recommendation. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC weekly changes in managed-money long, short and spread positions for Natural Gas, including the resulting change in net positioning. Purpose: Detect whether reported managed-money positioning in Natural Gas shifted toward net-long, net-short or stable exposure in the latest CFTC week. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Directional Bitcoin/stablecoin-liquidity transmission context from validated 24-hour stablecoin supply change and BTC spot momentum, with regression beta explicitly withheld until calibrated. Purpose: Test whether stablecoin supply impulse and Bitcoin price momentum are currently aligned while refusing to publish an uncalibrated causal beta coefficient. 5-minute freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Türkiye current account balance plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Türkiye current account balance series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Italy real interest rate plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Italy real interest rate series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Brazil real interest rate plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Brazil real interest rate series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Saudi Arabia central government debt plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Saudi Arabia central government debt series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Ethereum blob-gas usage and blob-fee evidence when exposed by the configured execution-layer RPC, with explicit unavailable state on pre- or non-supporting providers. Purpose: Measure current blob-space demand without hardcoding protocol capacity assumptions that can change across Ethereum upgrades. 5-minute freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available India gross capital formation plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced India gross capital formation series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Japan unemployment plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Japan unemployment series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Mexico real interest rate plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Mexico real interest rate series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Malaysia gross savings plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Malaysia gross savings series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Compares direct BLS headline and core CPI over one, three and twelve-month windows without converting missing observations into zero. Purpose: Detect short-horizon US inflation acceleration or deceleration before a full macro synthesis is needed. 6-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct Australian Bureau of Statistics headline CPI annual percentage change with month-over-month acceleration, sourced from the official ABS Data API. Purpose: Answer whether Australian consumer-price inflation is accelerating, cooling or stable using direct ABS evidence. 1-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC Traders in Financial Futures asset-manager/institutional long, short, spread and net positioning for Canadian Dollar, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in Canadian Dollar as an institutional positioning sensor without converting it into a directional recommendation. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Compares CFTC asset-manager and leveraged-fund net positioning in S&P Communication Sector on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in S&P Communication Sector positioning while preserving both classifications separately. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available United States gdp per capita growth plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced United States gdp per capita growth series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Canada gross savings plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Canada gross savings series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC Traders in Financial Futures leveraged-fund long, short, spread and net positioning for S&P Technology Sector, including open-interest share. Purpose: Measure current leveraged-fund net positioning in S&P Technology Sector using the CFTC TFF classification without inferring trader motive or predicting returns. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Live perpetual-futures funding rates for BTC, ETH, SOL and XRP. Purpose: Give market-neutral and basis-trade agents a fresh, multi-venue funding-rate reading without polling seven exchanges and reconciling seven schemas. 5-minute freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Switzerland consumer price inflation plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Switzerland consumer price inflation series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available United Kingdom fdi net inflows plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced United Kingdom fdi net inflows series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC Traders in Financial Futures asset-manager/institutional long, short, spread and net positioning for U.S. Treasury 2Y, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in U.S. Treasury 2Y as an institutional positioning sensor without converting it into a directional recommendation. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Compares CFTC asset-manager and leveraged-fund net positioning in CME XRP on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in CME XRP positioning while preserving both classifications separately. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available South Korea gdp per capita growth plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced South Korea gdp per capita growth series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC weekly changes in managed-money long, short and spread positions for Live Cattle, including the resulting change in net positioning. Purpose: Detect whether reported managed-money positioning in Live Cattle shifted toward net-long, net-short or stable exposure in the latest CFTC week. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Direct CFTC Traders in Financial Futures leveraged-fund long, short, spread and net positioning for U.S. Treasury 10Y, including open-interest share. Purpose: Measure current leveraged-fund net positioning in U.S. Treasury 10Y using the CFTC TFF classification without inferring trader motive or predicting returns. 168-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Malaysia consumer price inflation plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced Malaysia consumer price inflation series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available France gdp growth plus a comparable annual history from the World Bank World Development Indicators API, with source, lag and revision caveats. Purpose: Give an autonomous agent a normalized, directly sourced France gdp growth series without forcing it to understand World Bank indicator codes or response shapes. 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed |