Wintergreen x402 Ecosystem Health Dashboard is a paid API for AI agents from x402.wintergreen.uk, paid per call via x402, $0.01/call, status down (last checked 2026-09-15).
Returns a payment-gated ecosystem health dashboard report covering crypto trading intelligence, quant methodology, and market microstructure insights for AI agents.
Payment-gated crypto trading intelligence for AI agents. ## Categories - **Hyperliquid Signals**: Real-time funding divergence, lead-lag correlation, liquidation clusters, session volume area levels - **Quant Methodology**: Backtesting walk-forward validation, strategy generation with kill battery (19 rules), risk management with Kelly sizing, regime detection, execution frameworks, agent orchestration - **Market Insights**: 22 crypto microstructure observations — funding, liquidation, orderbook, regime, flow, anomaly - **Power Markets**: ERCOT field guide, merit-order model, duck curve analysis - **Career Guides**: Firefighter oral board prep, medical coding, ATSA, contractor estimating - **Trust Scoring**: x402 endpoint verification, P2D badges ## Payment All paid endpoints return HTTP 402 with USDC on Base (eip155:8453). Sign EIP-712 TransferWithAuthorization and retry with X-PAYMENT header. PayTo: 0xAe9834d71F1Bd989A0dc17593451af823E31CeeD
A structured knowledge payload covering the ecosystem health dashboard for crypto markets, including microstructure observations (funding, liquidation, orderbook, regime, flow, anomaly), Hyperliquid signals, quant methodology components, and optionally power market or career guide content depending on the route slug. Response schema is open-ended JSON.
GEThttps://x402.wintergreen.uk/api/v1/knowledge/ecosystem-health-dashboardChoose this endpoint when an AI agent needs structured, curated crypto trading intelligence or quant methodology content that is not available from free public sources, and when the agent is capable of executing x402 micropayments in USDC on Base. Prefer over generic market data APIs when the use case involves Hyperliquid-specific signals, walk-forward backtesting methodology, or detailed microstructure observations like liquidation clusters and regime detection.
| Field | Type | Description |
|---|---|---|
| _file_slug | string | |
| _route_slug | string |
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