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 Traders in Financial Futures leveraged-fund long, short, spread and net positioning for Dow Jones Industrial Average, including open-interest share. Purpose: Measure current leveraged-fund net positioning in Dow Jones Industrial Average 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 leveraged-fund long, short, spread and net positioning for Swiss Franc, including open-interest share. Purpose: Measure current leveraged-fund net positioning in Swiss Franc 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 Mexico trade openness 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 trade openness 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 trade openness 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 trade openness 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 Türkiye 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 Türkiye 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 Direct CFTC weekly changes in managed-money long, short and spread positions for Sugar No. 11, including the resulting change in net positioning. Purpose: Detect whether reported managed-money positioning in Sugar No. 11 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 Latest available New Zealand 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 New Zealand 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 Official Bank Rate from official Bank of England statistical data, normalized for autonomous-agent use with source timestamp, recent history and explicit limitations. Purpose: give an agent the latest available official bank rate with recent official history and source timing 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 Japanese Yen, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in Japanese Yen 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 Latest available Australia 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 Australia 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 Compares CFTC asset-manager and leveraged-fund net positioning in Mexican Peso on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in Mexican Peso 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 India 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 India 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 Hong Kong SAR, China 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 Hong Kong SAR, China 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 Mexico 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 Mexico 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 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 Euro Short-Term Rate (€STR) from official ECB statistics, normalized for autonomous-agent use with explicit source timing, evidence and limitations. Purpose: give an agent the latest available euro short-term rate (€str) with recent official history and source timing 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Australia trade openness 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 trade openness 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 South Korea 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 South Korea 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 Singapore 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 Singapore 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 Australia 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 Australia 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 Direct CFTC Traders in Financial Futures leveraged-fund long, short, spread and net positioning for Canadian Dollar, including open-interest share. Purpose: Measure current leveraged-fund net positioning in Canadian Dollar 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 leveraged-fund long, short, spread and net positioning for E-mini S&P 500, including open-interest share. Purpose: Measure current leveraged-fund net positioning in E-mini S&P 500 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 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 Italy 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 Compares CFTC asset-manager and leveraged-fund net positioning in E-mini Nasdaq 100 on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in E-mini Nasdaq 100 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 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 China 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 China 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 Thailand 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 Thailand 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 Direct CFTC Traders in Financial Futures asset-manager/institutional long, short, spread and net positioning for MSCI Emerging Markets, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in MSCI Emerging Markets 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 Tests extreme market sentiment against price breadth and momentum for confirmation or divergence. Purpose: Distinguish sentiment extremes that price action confirms from extremes that may be losing force. 5-minute freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available United Kingdom trade openness 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 trade openness 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 Singapore 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 Singapore 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 Spain 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 Spain 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 Direct CFTC weekly change in leveraged-fund long, short and spread positions for Dow Jones Industrial Average, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in Dow Jones Industrial Average 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 Latest available Italy 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 Italy 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 Japan 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 Japan 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 FX Margin Pressure Intelligence. Connects external demand, inflation, commodity, FX and financing evidence to commercial and procurement questions. Purpose: Give commercial leaders bounded market context for pricing, sourcing, margin and supplier decisions. 15-minute freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available Türkiye 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 Türkiye 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 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 UK Regular Pay from official ONS/Eurostat evidence with source timing, provenance, missingness and bounded interpretation for autonomous agents. Purpose: return the latest available uk regular pay with recent official history, observation periods and source metadata 24-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 Ultra U.S. Treasury 10Y on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in Ultra U.S. Treasury 10Y 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 China trade openness 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 China trade openness 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 Australian Dollar, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in Australian Dollar 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 U.S. Treasury 10Y on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in U.S. Treasury 10Y 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 weekly changes in managed-money long, short and spread positions for Lean Hogs, including the resulting change in net positioning. Purpose: Detect whether reported managed-money positioning in Lean Hogs 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 Latest available Brazil 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 Brazil 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 Türkiye 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 Türkiye 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 Japan 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 Japan 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 Sterling 6 Month Mean Interbank Lending Rate from official Bank of England statistical data, normalized for autonomous-agent use with source timestamp, recent history and explicit limitations. Purpose: give an agent the latest available sterling 6 month mean interbank lending rate with recent official history and source timing 24-hour freshness target; missing evidence is reported explicitly rather than invented. | - | $0.01 | listed | |
| Edge Agents AI Latest available India 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 India 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 U.S. Treasury 2Y, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in U.S. Treasury 2Y 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 |