Delx Commerce — Ethereum Up/Down 5-Minute 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).
Predicts whether Ethereum's price will be up or down over the next 5 minutes, given caller-supplied historical price observations
Pay-per-result APIs for agents. No signup. Exact price. Verifiable delivery. USDC on Base + Solana via x402.
Returns a JSON object with: the directional lean ('up' or 'down'), probability of price going up (p_up) and down (p_down) over the next 5 minutes, model metadata (version, calibration caveats), data quality score and label, schema version, status ('estimate'), and an array of warnings such as 'probability_is_uncalibrated' and 'not_trading_advice'. The result is deterministic for identical inputs.
POSThttps://commerce.delx.ai/api/v1/x402/ethereum-up-down-5m?utm_source=zero.xyzUse this endpoint when you need a fast, stateless, pay-per-call ETH 5-minute price direction estimate using your own historical price data — no account, no API key, just USDC on Base or Solana via x402. Prefer this over ML model hosting or subscription APIs when you want verifiable pay-per-result inference for short-horizon crypto direction classification without managing infrastructure. Not suitable as a standalone trading signal — treat output as probabilistic estimate with calibration caveats.
| 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": 0.79955,
"p_down": 0.20045
},
"warnings": [
"caller_supplied_prices_not_verified",
"probability_is_uncalibrated",
"not_trading_advice"
],
"data_quality": {
"label": "adequate_input_coverage",
"score": 0.7455,
"observations_used": 8
},
"horizon_minutes": 5,
"input_provenance": "caller_supplied"
}
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