pay.edge-agents.ai
586 resources
Resource Activity
via Bazaar · last 30 daysEst. volume (30d)
$28.98
~$0.97/day
Top resources by calls
| Resource | Calls | Unique payers |
|---|
| pay.edge-agents.aiCross-asset short-horizon movement and dispersion regime fro… | 28 | 4 |
| pay.edge-agents.aiLatest available Türkiye central government debt plus a comp… | 25 | 4 |
| pay.edge-agents.aiLive perpetual-futures funding rates for BTC, ETH, SOL and X… | 23 | 4 |
| pay.edge-agents.aiPremium Ethereum network-demand and market-pricing context c… | 10 | 2 |
| pay.edge-agents.aiLive total-value-locked levels and real 1d/7d/30d trend for … | 9 | 2 |
| pay.edge-agents.aiEvidence-gated spot-Ethereum ETF share creation/redemption p… | 8 | 3 |
| pay.edge-agents.aiDetects whether major altcoins are broadly outperforming Bit… | 8 | 3 |
| pay.edge-agents.aiMachine-readable divergence, sentiment-extreme and elevated-… | 8 | 3 |
| pay.edge-agents.aiAI Disruption Radar. Combines macro, market and risk evidenc… | 7 | 4 |
| pay.edge-agents.aiDirect CFTC Traders in Financial Futures leveraged-fund long… | 7 | 3 |
All Resources
pay.edge-agents.ai
Direct CFTC Traders in Financial Futures asset-manager/institutional long, short, spread and net positioning for S&P Industrial Sector, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in S&P Industrial 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 USDC
pay.edge-agents.ai
Direct CFTC weekly change in leveraged-fund long, short and spread positions for S&P Industrial Sector, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in S&P Industrial 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 USDC
pay.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 USDC
pay.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 USDC
pay.edge-agents.ai
Direct CFTC weekly change in leveraged-fund long, short and spread positions for S&P Technology Sector, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in S&P Technology 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 USDC
pay.edge-agents.ai
Direct CFTC Traders in Financial Futures asset-manager/institutional long, short, spread and net positioning for S&P Utilities Sector, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in S&P Utilities 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 USDC
pay.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 USDC
pay.edge-agents.ai
Direct CFTC Traders in Financial Futures leveraged-fund long, short, spread and net positioning for S&P Utilities Sector, including open-interest share. Purpose: Measure current leveraged-fund net positioning in S&P Utilities 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 USDC
pay.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 USDC
pay.edge-agents.ai
Direct CFTC Traders in Financial Futures asset-manager/institutional long, short, spread and net positioning for E-mini S&P 500, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in E-mini S&P 500 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 USDC
pay.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 USDC
pay.edge-agents.ai
Direct CFTC weekly change in leveraged-fund long, short and spread positions for E-mini S&P 500, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in E-mini S&P 500 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 USDC
pay.edge-agents.ai
Strategic Inflection Radar. Combines macro, market and risk evidence into strategic scenarios, timing questions and option-value context. Purpose: Improve strategic choices by making assumptions, reversibility, triggers and evidence gaps explicit. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.25 USDC
pay.edge-agents.ai
Strategic Option Value Context. Combines macro, market and risk evidence into strategic scenarios, timing questions and option-value context. Purpose: Improve strategic choices by making assumptions, reversibility, triggers and evidence gaps explicit. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.25 USDC
pay.edge-agents.ai
Strategic Scenario Engine. Combines macro, market and risk evidence into strategic scenarios, timing questions and option-value context. Purpose: Improve strategic choices by making assumptions, reversibility, triggers and evidence gaps explicit. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.25 USDC
pay.edge-agents.ai
Direct CFTC Commitments of Traders managed-money long, short, spread and net positioning for Sugar No. 11, with open-interest share and exact contract provenance. Purpose: Measure the latest CFTC managed-money net positioning in Sugar No. 11 without inferring trader motive or predicting price direction. 168-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Direct CFTC open interest and weekly open-interest change for Sugar No. 11, reported alongside the underlying managed-money positioning context. Purpose: Determine whether CFTC-reported open interest in Sugar No. 11 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 USDC
pay.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 USDC
pay.edge-agents.ai
Supplier Financial Stress Context. 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 USDC
pay.edge-agents.ai
Supply Chain Shock Radar. 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 USDC
pay.edge-agents.ai
Technology Adoption Window. Combines macro, market and risk evidence into strategic scenarios, timing questions and option-value context. Purpose: Improve strategic choices by making assumptions, reversibility, triggers and evidence gaps explicit. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Scores major assets as research candidates from momentum, BTC-relative strength, turnover and market risk. Purpose: Prioritise assets for further research using a transparent, repeatable evidence score. 5-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Premium synthesis of CFTC asset-manager and leveraged-fund positioning, weekly changes and cross-class divergence across 5 financial-futures contracts. Purpose: Summarise institutional and leveraged positioning breadth across treasury positioning regime while exposing missing contracts and disagreement rather than producing a market-return forecast. 168-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Treasury Stress Radar. Translates rates, liquidity, FX, cycle and market evidence into bounded corporate-finance decision context. Purpose: Support capital, treasury and financing decisions with explicit evidence quality, trade-offs and invalidation conditions. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.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 USDC
pay.edge-agents.ai
Gilt Repo 1 Month 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 gilt repo 1 month rate with recent official history and source timing 24-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Gilt Repo 1 Week 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 gilt repo 1 week rate with recent official history and source timing 24-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Gilt Repo 1 Year 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 gilt repo 1 year rate with recent official history and source timing 24-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Gilt Repo 3 Month 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 gilt repo 3 month rate with recent official history and source timing 24-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Sterling 1 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 1 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 USDC
pay.edge-agents.ai
Sterling 3 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 3 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 USDC
pay.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 USDC
pay.edge-agents.ai
Sterling Interbank Curve from official Bank of England statistical data, normalized for autonomous-agent use with source timestamp, recent history and explicit limitations. Purpose: compare 1, 3 and 6 month sterling interbank lending rates and describe curve slope and changes 24-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
UK Money Market Regime from official Bank of England statistical data, normalized for autonomous-agent use with source timestamp, recent history and explicit limitations. Purpose: synthesize policy, overnight, interbank and secured funding evidence into a current UK money-market regime brief 24-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
UK Policy Transmission from official Bank of England statistical data, normalized for autonomous-agent use with source timestamp, recent history and explicit limitations. Purpose: compare Bank Rate with SONIA and term sterling funding rates to show how policy is transmitting into money markets 24-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
SONIA 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 sonia with recent official history and source timing 24-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
SONIA Bank Rate Spread from official Bank of England statistical data, normalized for autonomous-agent use with source timestamp, recent history and explicit limitations. Purpose: measure the current and recent spread between SONIA and Official Bank Rate as a compact overnight policy-transmission signal 24-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Direct BLS seasonally adjusted CPI excluding food and energy, with monthly and year-over-year momentum. Purpose: Measure the direction and persistence of core US consumer-price inflation using direct BLS evidence. 6-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Direct BLS seasonally adjusted headline CPI level, monthly momentum and year-over-year change with retrieval-time provenance. Purpose: Answer whether headline US consumer-price inflation is accelerating, cooling or broadly stable using direct BLS evidence. 6-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Combines direct Federal Reserve industrial-production and capacity-utilization evidence into a deliberately narrow industrial growth signal. Purpose: Detect expansion, contraction or mixed momentum in the directly observed US industrial economy. 6-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.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 USDC
pay.edge-agents.ai
Direct BLS labour-force participation level and recent percentage-point changes. Purpose: Track whether US labour supply participation is improving, weakening or stable. 6-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Combines direct BLS payroll, unemployment, participation and wage evidence into a bounded labour-momentum classification. Purpose: Determine whether the US labour backdrop is strengthening, weakening or mixed without publishing a recession probability. 6-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Premium cross-family brief combining direct inflation, labour, industrial-growth and Treasury-rate evidence, with explicit family disagreement and coverage gates. Purpose: Give an autonomous buyer one compact US macro regime read while preserving the underlying inflation, labour, growth and rates evidence boundaries. 6-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Cross-tenor five and twenty-two-observation movement across direct 2Y, 10Y and 30Y Treasury par yields. Purpose: Detect broad upward, downward or mixed US rate pressure across the Treasury curve. 6-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Premium Treasury-curve synthesis spanning 2Y, 10Y and 30Y levels, rate momentum, 2s10s and 3m10y slopes and curve-shape change. Purpose: Summarise US rates and curve pressure for another agent without requiring it to compose several individual rate sensors. 6-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Direct Census Bureau Advance Monthly Retail Trade Survey total retail and food services sales level, with monthly and year-over-year change. Purpose: Measure the direction of US consumer spending at the point of sale using the Census Bureau's own headline retail-sales release. 6-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Direct BLS unemployment-rate level and one/three-month change in percentage points. Purpose: Detect deterioration or improvement in the US unemployment rate using direct BLS labour evidence. 6-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Joint classification of direct 2s10s and 3m10y Treasury curve slopes and recent steepening/flattening behaviour. Purpose: Classify the current US Treasury curve regime without treating inversion alone as a deterministic recession forecast. 6-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Direct CFTC Traders in Financial Futures asset-manager/institutional long, short, spread and net positioning for U.S. Dollar Index, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in U.S. Dollar Index 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 USDC