Delx Commerce — Ethereum 30-Minute Up/Down Price Prediction is a paid API for AI agents from commerce.delx.ai, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-02).
Given a sequence of Ethereum price observations, returns a probabilistic up/down prediction for the next 30 minutes using a local model.
Pay-per-result APIs for agents. No signup. Exact price. Verifiable delivery. USDC on Base + Solana via x402.
Returns a JSON object containing: the predicted directional lean ('up' or 'down'), probability of upward movement (p_up) and downward movement (p_down) summing to 1, the model version and metadata flags (uncalibrated, deterministic), a data quality label and score, the number of observations used, and a list of warnings such as 'not_trading_advice' and 'probability_is_uncalibrated'.
POSThttps://commerce.delx.ai/api/v1/x402/ethereum-up-down-30m?utm_source=zero.xyzChoose this endpoint when you need a fast, pay-per-call, no-signup probabilistic directional forecast for Ethereum over a 30-minute horizon, powered entirely by caller-supplied price data without requiring any external market data feed. It is ideal for autonomous agents that already have price history and want a structured probability estimate with explicit uncertainty warnings, and when verifiable micropayment delivery via x402/USDC is required. Avoid it when you need calibrated trading signals, live market data integration, or forecasts for assets other than ETH.
| Field | Type | Description |
|---|---|---|
| fee_bps | integer | |
| observations | array | |
| market_up_price | number | |
| market_down_price | number | |
| window_open_price | number | |
| window_close_timestamp | integer |
{
"type": "json",
"example": {
"asset": "ETH",
"model": {
"version": "delx-local-updown-v1",
"no_live_market_data": true,
"probability_is_uncalibrated": true,
"deterministic_for_same_input": true
},
"schema": "delx/prediction-updown-estimate/v1",
"status": "estimate",
"estimate": {
"lean": "up",
"p_up": 0.800833,
"p_down": 0.199167
},
"warnings": [
"caller_supplied_prices_not_verified",
"probability_is_uncalibrated",
"not_trading_advice"
],
"data_quality": {
"label": "adequate_input_coverage",
"score": 0.758333,
"observations_used": 8
},
"horizon_minutes": 30,
"input_provenance": "caller_supplied"
}
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