Delx Commerce — Bitcoin 15-Minute Up/Down Prediction is a paid API for AI agents from commerce.delx.ai, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-01).
Predicts whether Bitcoin price will go up or down over the next 15 minutes, given caller-supplied 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 predicted directional lean ('up' or 'down'), probability estimates for both up and down directions (summing to 1.0), the model version used (delx-local-updown-v1), data quality score and label, number of observations used, horizon in minutes (15), and warnings (e.g. uncalibrated probability, not trading advice, caller-supplied prices not verified). The response schema is 'delx/prediction-updown-estimate/v1'.
POSThttps://commerce.delx.ai/api/v1/x402/bitcoin-up-down-15m?utm_source=zero.xyzChoose this endpoint when you need a fast, pay-per-call (no signup) short-term Bitcoin directional probability estimate using your own price data — especially useful for autonomous agents, trading bots, or backtesting workflows that already have recent BTC price observations and want a model-based signal without integrating a full market data subscription or managing API credentials.
| 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": "BTC",
"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": 0.800406,
"p_down": 0.199594
},
"warnings": [
"caller_supplied_prices_not_verified",
"probability_is_uncalibrated",
"not_trading_advice"
],
"data_quality": {
"label": "adequate_input_coverage",
"score": 0.754056,
"observations_used": 8
},
"horizon_minutes": 15,
"input_provenance": "caller_supplied"
}
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