Delx Commerce — Bitcoin 5-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 2026-10-02).
Predicts whether Bitcoin's price will be higher or lower in the next 5 minutes, given a caller-supplied sequence of recent 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'), associated probabilities (p_up and p_down summing to 1), a data quality score and label, model version metadata, the prediction horizon in minutes (5), and an array of warnings noting that probabilities are uncalibrated and results are not trading advice.
POSThttps://commerce.delx.ai/api/v1/x402/bitcoin-up-down-5m?utm_source=zero.xyzChoose this endpoint when you need a quick, pay-per-call, no-signup Bitcoin short-term directional signal derived purely from your own supplied price observations. It is ideal for autonomous agents that already collect BTC price feeds and want a probabilistic up/down signal without integrating a full ML platform. Prefer it over general-purpose LLM reasoning about prices because it uses a dedicated model (delx-local-updown-v1) with a structured schema and explicit data quality scoring. Use it when a 5-minute horizon is the target window and you can supply at least 8 timestamped price points.
| 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": 0.79955,
"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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