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Atlas Probability Intelligence API – BTC 60-Minute Forecast
x402
Atlas Probability Intelligence API – BTC 60-Minute Forecast is a paid API for AI agents from atlas-probability-api-production.up.railway.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-02).
Returns machine-readable probabilistic Bitcoin price forecasts for the next 60 minutes, including up/down direction probabilities, expected return, price distribution, tail risk, and model freshness metadata.
Price / call$0.01
Success—
StatusUnknown
How this service works
Atlas Bitcoin/BTC 60-minute (1-hour) probabilistic market forecast
Output
Returns a JSON object containing the asset identifier (BTC), direction probabilities (probability_above_current and probability_below_current summing to 1.0), the forecast horizon in minutes (60), expected terminal return, price distribution data, tail risk estimates, model freshness timestamp, and model metadata for auditability.
Example use cases
Autonomous trading signal integration
“Before placing any BTC trade, check the Atlas probability model — what are the current up/down probabilities and expected return for Bitcoin over the next 60 minutes?”
Hourly risk dashboard update
“Pull the latest Bitcoin 60-minute probabilistic forecast including tail risk and price distribution so I can update my risk dashboard right now.”
Scheduled market intelligence briefing
“Every hour, fetch the BTC directional probabilities and expected terminal return from the Atlas probability model and summarize whether conditions are skewed bullish or bearish.”
Technical details
Endpoint
GEThttps://atlas-probability-api-production.up.railway.app/v1/x402/probability/BTC?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need machine-readable, structured probabilistic Bitcoin price direction and risk metrics for the next hour — especially in autonomous agent, algorithmic trading, or risk-monitoring workflows that require model-backed up/down probabilities, expected return, and tail risk in a single low-cost call. Prefer this over generic market data APIs when you need directional probability distributions rather than raw price or volume data.
Side effects
- Stale model data if freshness timestamp is old — agent should check the freshness field before acting
- Payment failure (402) if the $0.01 USDC x402 payment is not submitted correctly
- Rate limiting or server errors if the Railway deployment is under load
- Probabilities returning exactly 0.5/0.5 may indicate a model fallback or neutral signal rather than a genuine forecast
- Missing or null fields in the response if the underlying model has not yet generated a fresh prediction
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"asset": "BTC",
"direction": {
"probability_above_current": 0.5,
"probability_below_current": 0.5
},
"horizon_minutes": 60,
"expected_terminal_return": 0
}
}Tags
x402
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