pay.edge-agents.ai
586 resources
Resource Activity
via Bazaar · last 30 daysEst. volume (30d)
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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.aiMachine-readable divergence, sentiment-extreme and elevated-… | 8 | 3 |
| 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.aiDirect CFTC Traders in Financial Futures leveraged-fund long… | 7 | 3 |
| pay.edge-agents.aiTests extreme market sentiment against price breadth and mom… | 7 | 2 |
All Resources
pay.edge-agents.ai
Narrative–Evidence Divergence. 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
Direct CFTC Traders in Financial Futures asset-manager/institutional long, short, spread and net positioning for E-mini Nasdaq 100, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in E-mini Nasdaq 100 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 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 USDC
pay.edge-agents.ai
Direct CFTC Traders in Financial Futures leveraged-fund long, short, spread and net positioning for E-mini Nasdaq 100, including open-interest share. Purpose: Measure current leveraged-fund net positioning in E-mini Nasdaq 100 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 Nasdaq 100, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in E-mini Nasdaq 100 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 open interest and weekly open-interest change for Natural Gas, reported alongside the underlying managed-money positioning context. Purpose: Determine whether CFTC-reported open interest in Natural Gas 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 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 USDC
pay.edge-agents.ai
Direct CFTC Traders in Financial Futures asset-manager/institutional long, short, spread and net positioning for New Zealand Dollar, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in New Zealand 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 New Zealand Dollar on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in New Zealand 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 New Zealand Dollar, including open-interest share. Purpose: Measure current leveraged-fund net positioning in New Zealand 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 New Zealand Dollar, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in New Zealand 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
Machine-readable divergence, sentiment-extreme and elevated-risk alerts. Purpose: Detect notable market conditions that justify deeper analysis. 5-minute 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 Palladium, with open-interest share and exact contract provenance. Purpose: Measure the latest CFTC managed-money net positioning in Palladium 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
Cross-venue perpetual-futures funding-rate arbitrage scan across BTC, ETH, SOL and XRP, annualising each venue's rate using its own confirmed settlement interval and ranking the resulting spreads into a market-neutral long/short pairing per asset. Purpose: Rank funding-rate arbitrage opportunities across tracked assets and venues as a comparability signal, never a guaranteed-profit claim. 5-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.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 USDC
pay.edge-agents.ai
Direct CFTC open interest and weekly open-interest change for Platinum, reported alongside the underlying managed-money positioning context. Purpose: Determine whether CFTC-reported open interest in Platinum 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 Platinum, including the resulting change in net positioning. Purpose: Detect whether reported managed-money positioning in Platinum 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
Scores current short-horizon market danger from shocks, dispersion, breadth and sentiment. Purpose: Give automated portfolios a transparent risk posture and the evidence behind it. 5-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Corporate Portfolio Strategic Risk. 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
Executive Pre-Mortem Intelligence. 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.
$0.25 USDC
pay.edge-agents.ai
Premium synthesis of direct CFTC managed-money positioning, weekly positioning change and open-interest pressure across 4 defined contracts. Purpose: Summarise CFTC positioning breadth and disagreement across precious metals positioning intelligence 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
Cross-checks primary market prices against Coinbase Exchange and reports coverage, maximum deviation and discrepancies. Purpose: Measure whether independent spot-price sources broadly agree without implying executable price or depth. 5-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Procurement Market 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 USDC
pay.edge-agents.ai
Premium synthesis of CFTC asset-manager and leveraged-fund positioning, weekly changes and cross-class divergence across 6 financial-futures contracts. Purpose: Summarise institutional and leveraged positioning breadth across rates positioning intelligence 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
Recession Business Exposure. 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
Refinancing Window Intelligence. 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
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 USDC
pay.edge-agents.ai
Premium synthesis of CFTC asset-manager and leveraged-fund positioning, weekly changes and cross-class divergence across 4 financial-futures contracts. Purpose: Summarise institutional and leveraged positioning breadth across risk assets positioning intelligence 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
Compact machine-readable crypto risk posture from regime, market breadth, sentiment and shock evidence. Purpose: Provide a small composable risk-on/risk-off context signal for other agents without personalised portfolio advice. 5-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Validated RLUSD issuer obligations, XRP/RLUSD order-book spread and crossed-book state, and AMM/DEX price agreement for stablecoin-infrastructure buyers. Purpose: Give stablecoin-infrastructure buyers RLUSD issuer-supply and XRP/RLUSD liquidity evidence without implying a directly observed USD peg reading. 1-hour 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 6 financial-futures contracts. Purpose: Summarise institutional and leveraged positioning breadth across equity sector positioning intelligence 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
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 USDC
pay.edge-agents.ai
Direct CFTC open interest and weekly open-interest change for Silver, reported alongside the underlying managed-money positioning context. Purpose: Determine whether CFTC-reported open interest in Silver 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 Silver, including the resulting change in net positioning. Purpose: Detect whether reported managed-money positioning in Silver 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
Compares CFTC asset-manager and leveraged-fund net positioning in CME Solana on the same weekly report and open-interest basis. Purpose: Identify whether asset managers and leveraged funds are aligned or materially divergent in CME Solana 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 Solana, including open-interest share. Purpose: Measure current leveraged-fund net positioning in CME Solana 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 Solana, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in CME Solana 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
Solana throughput separated into vote and non-vote transactions from getRecentPerformanceSamples, with non-vote TPS framed as the economic-throughput proxy and raw TPS explicitly not treated as adoption. Purpose: Distinguish consensus overhead from user-driven transaction demand on Solana over the last hour and track how the non-vote share is trending. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Solana epoch progress and estimated time to the next epoch boundary, total activated stake versus circulating supply and the current protocol inflation rate; the pending deactivation queue is reported as unavailable rather than estimated. Purpose: Track when Solana stake activations and deactivations next resolve and how staked supply is changing without inventing a forward unlock queue. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Solana validator count, delinquency, stake concentration (Gini, Herfindahl, top-10 and top-33 share), the superminority able to halt consensus and commission distribution, read from getVoteAccounts on Solana's own public JSON-RPC. Purpose: Measure how concentrated Solana consensus stake currently is and how many validators are delinquent without inferring operator identity or geography. 15-minute freshness target; missing evidence is reported explicitly rather than invented.
$0.01 USDC
pay.edge-agents.ai
Reconciles macro liquidity, SOL-specific crypto transmission, BTC-dominance/altcoin-rotation and SOL/BTC relative-strength momentum evidence into bull, base and bear scenarios; explicitly withholds derivatives, ETF-absorption and native… Purpose: Combine top-down macro conditions and Solana's thinner available bottom-up evidence without publishing a strong view when layers conflict or coverage is too shallow. 1-hour freshness target; missing evidence is reported explicitly rather than invented.
$0.10 USDC
pay.edge-agents.ai
Direct CFTC Commitments of Traders managed-money long, short, spread and net positioning for Soybeans, with open-interest share and exact contract provenance. Purpose: Measure the latest CFTC managed-money net positioning in Soybeans 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 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 USDC
pay.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 USDC
pay.edge-agents.ai
Direct CFTC weekly change in leveraged-fund long, short and spread positions for S&P Communication Sector, including change in net exposure. Purpose: Detect whether reported leveraged-fund exposure in S&P Communication 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 Financial Sector, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in S&P Financial 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 Financial Sector, including open-interest share. Purpose: Measure current leveraged-fund net positioning in S&P Financial 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 Traders in Financial Futures asset-manager/institutional long, short, spread and net positioning for S&P Health Care Sector, including open-interest share. Purpose: Measure current CFTC asset-manager net positioning in S&P Health Care 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 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 USDC
pay.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 USDC