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Market Intelligence API – Signal Track Record & Calibration
x402
Market Intelligence API – Signal Track Record & Calibration is a paid API for AI agents from api.marketintelligenceapi.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-10).
Returns the live historical track record of trading signals — hit rates at 5m/15m/1h/24h horizons, calibration by confidence bucket, and recent signals with outcomes — so agents can assess signal reliability before acting.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading signal accuracy and hit rate, live: whether price moved in the signal's direction after 5m, 15m, 1h and 24h, per signal type and per confidence bucket (calibration), over days=1-120, optionally for one symbol, with the latest signals and outcomes. Use to judge how reliable the signals are.
Output
Returns a JSON object with hit rate percentages at each time horizon (5m, 15m, 1h, 24h), average return in the signal's direction, calibration data broken down by confidence bucket (e.g. 80-100), count of signals evaluated, recent signal list with forward returns, lookback period, and algo version string.
Example use cases
Pre-trade signal reliability check
“I'm about to trade BTCUSD based on a bullish signal — can you check how reliable these signals have been over the last 14 days, especially at the 1-hour horizon?”
Confidence bucket calibration audit
“Show me how well the market intelligence signals are calibrated for NVDA — I want to see whether high-confidence signals (80-100) actually have higher hit rates than lower-confidence ones over the past 60 days.”
Long-term signal accuracy review
“Pull the full 90-day track record across all signals for ETHUSD — I want hit rates at every time horizon and recent examples of signals with their actual forward returns so I can decide if this signal source is worth using.”
Technical details
Endpoint
GEThttps://api.marketintelligenceapi.com/api/v1/intelligence/track-record?utm_source=zero.xyzWhen to prefer
Use this endpoint when an agent needs to assess the reliability and historical accuracy of trading signals before committing to a trade or recommendation. It is the right choice over raw signal endpoints when the goal is meta-evaluation — understanding how trustworthy the signals are, not just what the latest signal says. Prefer this over generic backtesting services when you specifically want calibration data (hit rate by confidence bucket) tied to this provider's signal types.
Side effects
- Invalid or unsupported symbol returns an error or empty results
- days parameter out of range (outside 1-120) causes a validation error
- Insufficient signal history for very short windows may return low evaluated counts with low statistical significance
- Payment failure (x402) if USDC balance is insufficient
- Network timeout if market data backend is under load
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
Output
Schema · Response
{
"type": "json",
"example": {
"window": "5m",
"byHorizon": {
"1h": {
"evaluated": 1050,
"hitRatePercent": 54.2,
"averageReturnInSignalDirectionPercent": 0.041
}
},
"periodDays": 30,
"algoVersion": "flow-v2-2026-09-25",
"recentSignals": [
{
"at": "2026-09-25T05:10:00Z",
"price": 2679.2,
"signal": "BUYING_ACTIVITY",
"symbol": "ETHUSD",
"direction": "BULLISH",
"confidence": 88.4,
"forwardReturnsPercent": {
"1h": 0.21,
"5m": 0.05
}
}
],
"signalsLogged": 1840,
"directionalSignals": 1122,
"calibration1hByConfidence": {
"80-100": {
"evaluated": 210,
"hitRatePercent": 58.1
}
}
}
}Tags
x402
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