ETH 4H market context an agent can purchase.

Why ETH needs structured context

Ethereum can move with Bitcoin while developing its own momentum and volatility profile. A useful agent workflow therefore needs both the active ETH direction and the evidence beneath it. Trading Zones exposes the decision, context, execution levels and indicator states as separate fields.

Trading Zones does not ask an agent to infer the whole setup from a single price tick. The package combines a directional decision with confidence, execution levels and indicator states generated from the latest completed 4H candle. That separation matters: direction uses LONG, SHORT or NEUTRAL, while individual indicators use up, down or neutral.

What the agent receives

• A versioned package identifier and validity window.
• The Trading Zones decision and active direction.
• Confidence score, probability band and market-context message.
• Reference entry, stop loss, take profit, liquidity guards and available R:R values.
• CH, RSI, MACD, Bollinger, Stochastic, Taker, Supertrend, ADX and VWAP readings.
• A public Binance endpoint for checking the live execution price.

Why the latest closed 4H candle is used

Open candles keep changing. A system that recomputes its meaning on every price movement can produce unstable signals and expensive duplicate analysis. Trading Zones calculates after a 4H candle has closed, stores the result in cache and serves the same decision package at scale until the validity window ends. The live entry remains the responsibility of the consuming agent.

How an AI agent buys the package

1. Call the ETH endpoint without an account or buyer API key.
2. Read the HTTP 402 Payment Required challenge.
3. Authorize exactly $0.03 USDC on Base through an x402-compatible wallet.
4. Retry the same request with the payment signature.
5. Use the JSON only after the API returns HTTP 200 and verify valid_until.

During the refresh window the API returns HTTP 503 and a Retry-After value. No payment should be authorized while current data is unavailable.

Useful agent workflows

An agent can compare ETH with BTC context, evaluate whether momentum agrees with the directional filter, use the published SL and TP as analytical boundaries, or wait when the response is neutral.

The package is designed as decision-support data. An autonomous system should still apply its own wallet limits, position sizing, venue checks and execution rules. A NEUTRAL result is useful information and costs the same because avoiding a low-quality trade is part of the decision process.

Continue researching

Browse all Trading Zones agent insights, including BTC, ETH, XRP and ONDO. Public model evidence is available from the performance summary endpoint.