pay.edge-agents.ai
586 resources
Resource Activity
via Bazaar · last 30 daysEst. volume (30d)
$28.95
~$0.96/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.aiLive perpetual-futures funding rates for BTC, ETH, SOL and X… | 23 | 4 |
| pay.edge-agents.aiLatest available Türkiye central government debt plus a comp… | 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.aiDetects whether major altcoins are broadly outperforming Bit… | 8 | 3 |
| pay.edge-agents.aiEvidence-gated spot-Ethereum ETF share creation/redemption p… | 8 | 3 |
| pay.edge-agents.aiMachine-readable divergence, sentiment-extreme and elevated-… | 8 | 3 |
| pay.edge-agents.aiTests extreme market sentiment against price breadth and mom… | 7 | 2 |
| pay.edge-agents.aiDirect CFTC Traders in Financial Futures leveraged-fund long… | 7 | 3 |
All Resources
pay.edge-agents.ai
Agent-Commerce Market Regime. Evaluates the quality, disagreement, transmission, composition or verification of Edge intelligence itself. Purpose: Increase the defensibility of downstream decisions by making evidence quality and model limitations machine-readable. 5-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
AI Disruption 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.
$0.01 USDC
pay.edge-agents.ai
Compares ETH, SOL, XRP, LINK and DOGE trading activity, source coverage and cross-source price agreement without claiming order-book depth. Purpose: Rank the observable quality of major-alt market evidence and trading activity, explicitly distinguishing it from executable liquidity. 5-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Detects whether major altcoins are broadly outperforming Bitcoin and identifies the rotation leader. Purpose: Measure evidence of capital rotating between Bitcoin and major altcoins. 5-minute 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 Australian Dollar, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in Australian 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 USDC
pay.edge-agents.ai
Compares CFTC asset-manager and leveraged-fund net positioning in Australian Dollar on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in Australian Dollar 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 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 USDC
pay.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 USDC
pay.edge-agents.ai
Premium synthesis combining direct ABS CPI and unemployment-rate evidence into a bounded Australia macro-regime read. Purpose: Give an autonomous buyer one compact Australia macro-regime read combining inflation and labour evidence without requiring it to compose two individual sensors. 1-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Direct Australian Bureau of Statistics seasonally adjusted national unemployment rate with one and three-month percentage-point change, sourced from the official ABS Data API. Purpose: Detect deterioration or improvement in the Australian labour market using direct ABS evidence. 1-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Board Challenge Pack. Makes assumptions, challenge, provenance, reversibility and verification explicit around consequential decisions. Purpose: Strengthen decision governance by preserving evidence, contradictions, assumptions and auditability. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Board Risk Radar. Makes assumptions, challenge, provenance, reversibility and verification explicit around consequential decisions. Purpose: Strengthen decision governance by preserving evidence, contradictions, assumptions and auditability. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Compares CFTC asset-manager and leveraged-fund net positioning in Brazilian Real on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in Brazilian Real 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 weekly change in leveraged-fund long, short and spread positions for Brazilian Real, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in Brazilian Real 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 CME Bitcoin, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in CME Bitcoin 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 CME Bitcoin on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in CME Bitcoin 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 CME Bitcoin, including open-interest share. Purpose: Measure current leveraged-fund net positioning in CME Bitcoin 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 CME Bitcoin, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in CME Bitcoin 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
Premium short-horizon Bitcoin fragility assessment combining spot shock, broad-market risk and exchange-native leverage evidence; no uncalibrated crash or squeeze probability is published. Purpose: Measure current Bitcoin downside and squeeze fragility while keeping probability, liquidation and options evidence unavailable unless directly supported. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Premium Bitcoin outlook combining macro liquidity, spot momentum, stablecoin supply impulse and derivatives leverage into supporting, opposing and unresolved evidence without a price target. Purpose: Reconcile top-down liquidity and bottom-up Bitcoin market evidence into a transparent current-cycle context with explicit invalidations. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.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 USDC
pay.edge-agents.ai
Reconciles macro liquidity, BTC-specific crypto transmission, BTC derivatives leverage and BTC-dominance rotation evidence into bull, base and bear scenarios with explicit contradictions; ETF-absorption stays unavailable because spot-Bitcoin ETF trusts do not file SEC Form N-PORT. Purpose: Combine top-down macro conditions and bottom-up BTC evidence without publishing a strong view when layers conflict. 1-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Annualised realised-volatility estimates over retained 1-hour, 24-hour and 7-day Bitcoin observation windows with minimum-history and coverage gates. Purpose: Compare short and longer Bitcoin realised-volatility horizons using retained point-in-time observations without substituting options implied volatility. 5-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.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 USDC
pay.edge-agents.ai
Premium evidence-gated Bitcoin scarcity framework combining eligible ETF absorption, market activity, macro liquidity and derivatives context while explicitly withholding exchange-supply, holder and miner factors that lack approved evidence. Purpose: Measure supported Bitcoin scarcity pressure without fabricating exchange balances, holder conviction, whale distribution or miner inventory data. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.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 USDC
pay.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 USDC
pay.edge-agents.ai
Compares CFTC asset-manager and leveraged-fund net positioning in Canadian Dollar on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in Canadian Dollar 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 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 USDC
pay.edge-agents.ai
Direct CFTC weekly change in leveraged-fund long, short and spread positions for Canadian Dollar, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in Canadian 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 USDC
pay.edge-agents.ai
Direct Statistics Canada all-items Consumer Price Index level with monthly and year-over-year change, sourced from the official WDS API. Purpose: Answer whether Canadian consumer-price inflation is accelerating, cooling or stable using direct Statistics Canada evidence. 1-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Premium synthesis combining direct Statistics Canada CPI and unemployment-rate evidence into a bounded Canada macro-regime read. Purpose: Give an autonomous buyer one compact Canada macro-regime read combining inflation and labour evidence without requiring it to compose two individual sensors. 1-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Direct Statistics Canada national unemployment rate with one and three-month percentage-point change, sourced from the official WDS API. Purpose: Detect deterioration or improvement in the Canadian labour market using direct Statistics Canada evidence. 1-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 Swiss Franc, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in Swiss Franc 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 Swiss Franc on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in Swiss Franc 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 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 USDC
pay.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 USDC
pay.edge-agents.ai
Direct CFTC Commitments of Traders managed-money long, short, spread and net positioning for Cocoa, with open-interest share and exact contract provenance. Purpose: Measure the latest CFTC managed-money net positioning in Cocoa 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 Cocoa, reported alongside the underlying managed-money positioning context. Purpose: Determine whether CFTC-reported open interest in Cocoa 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 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 USDC
pay.edge-agents.ai
Direct CFTC weekly changes in managed-money long, short and spread positions for Coffee, including the resulting change in net positioning. Purpose: Detect whether reported managed-money positioning in Coffee 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
Premium synthesis of direct CFTC managed-money positioning, weekly positioning change and open-interest pressure across 16 defined contracts. Purpose: Summarise CFTC positioning breadth and disagreement across commodity positioning regime while keeping underlying contracts and missing observations explicit. 168-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Competitor Threat Monitor. 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
Direct CFTC weekly changes in managed-money long, short and spread positions for Copper, including the resulting change in net positioning. Purpose: Detect whether reported managed-money positioning in Copper 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
Direct CFTC open interest and weekly open-interest change for Corn, reported alongside the underlying managed-money positioning context. Purpose: Determine whether CFTC-reported open interest in Corn 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 Corn, including the resulting change in net positioning. Purpose: Detect whether reported managed-money positioning in Corn 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
Corporate Resilience Environment Score. 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
Correlation Regime Break Detector. Evaluates the quality, disagreement, transmission, composition or verification of Edge intelligence itself. Purpose: Increase the defensibility of downstream decisions by making evidence quality and model limitations machine-readable. 5-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Pairwise BTC, ETH, SOL and XRP return correlations from retained point-in-time observations with a minimum-sample gate. Purpose: Measure recent co-movement only when enough retained observations exist and withhold coefficients when history is insufficient. 5-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Cost of Capital Pressure. 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