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StationFX ICE BofA US High-Yield Index Option-Adjusted Spread
x402
StationFX ICE BofA US High-Yield Index Option-Adjusted Spread is a paid API for AI agents from stationfx.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-02).
Retrieves daily time-series data for the ICE BofA US High-Yield Index Option-Adjusted Spread — the yield premium junk bonds pay over equivalent Treasuries — with derived statistics including z-scores, percentile ranks, and rolling averages.
Price / call$0.005
Success—
StatusUnknown
How this service works
Yield spread between high-yield (junk) bonds and equivalent Treasuries. The premier measure of credit stress and risk appetite in lower-quality debt. Spikes sharply in recessions and crises. Use for risk-off detection, credit cycle timing, and recession probability models. Daily frequency.
Output
Returns a JSON array of daily observations, each containing the raw OAS value in basis points, month-over-month and year-over-year absolute and percentage changes, 12-month and 5-year z-scores, 5-year percentile rank, 3-month and 12-month rolling averages, and an above-trend binary flag. Compact 'toon' format available for agent-friendly consumption.
Example use cases
Recession probability model input
“I'm building a recession probability model — grab the ICE BofA high-yield OAS daily series from StationFX for January 2020 through today in JSON format, and include the z-score and percentile rank so I can see how stressed credit markets are relative to history.”
Real-time risk-off signal detection
“Check the current high-yield credit spread on StationFX and tell me if it's spiking — I want to know today's value, whether it's above the long-run trend, and how it compares to the past 5 years on a percentile basis.”
Credit cycle timing for portfolio rebalancing
“Pull the high-yield spread data from StationFX for the past two years in toon format so I can see the rolling 3-month and 12-month averages and figure out where we are in the credit cycle before I adjust my fixed income allocation.”
Technical details
Endpoint
GEThttps://stationfx.com/economic-data/credit-spreads/ice-bofa-us-high-yield-index-option-adjusted-spread?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need the canonical measure of junk bond credit stress with rich pre-computed statistics (z-scores, percentile ranks, rolling averages) rather than raw spread data alone. Prefer it for recession detection models, credit cycle timing, and risk-off signal generation where the high-yield spread's sensitivity to financial distress is specifically needed. Prefer the investment-grade spread sibling when monitoring higher-quality credit, and the yield curve endpoint when focused on rate expectations rather than credit risk.
Side effects
- Date range outside available data history returns empty array or error
- Invalid date format returns a 400-level error
- Unsupported fmt enum value may return an error or default to JSON
- Missing required method or type fields in input object returns validation error
- Network timeout or upstream data provider outage returns 5xx error
- Requesting future dates returns no data or the most recent available observation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"schema": {
"type": "object",
"properties": {
"data": {
"type": "array",
"items": {
"type": "object",
"properties": {
"date": {
"type": "string",
"description": "Observation date YYYY-MM-DD"
},
"value": {
"type": "number",
"description": "Raw observed value in series units"
},
"mom_pct": {
"type": "number",
"description": "Month-over-month % change"
},
"yoy_pct": {
"type": "number",
"description": "Year-over-year % change"
},
"zscore_5y": {
"type": "number",
"description": "Z-score relative to trailing 5 years"
},
"mom_change": {
"type": "number",
"description": "Month-over-month absolute change"
},
"yoy_change": {
"type": "number",
"description": "Year-over-year absolute change"
},
"zscore_12m": {
"type": "number",
"description": "Z-score relative to trailing 12 months"
},
"above_trend": {
"type": "integer",
"description": "1 if value is above long-run trend, else 0"
},
"pct_rank_5y": {
"type": "number",
"description": "Percentile rank over trailing 5 years (0-100)"
},
"rolling_3m_avg": {
"type": "number",
"description": "3-month rolling average"
},
"rolling_12m_avg": {
"type": "number",
"description": "12-month rolling average"
},
"trend_direction": {
"type": "integer",
"description": "Trend: 1 rising, -1 falling, 0 flat"
}
}
},
"description": "Observations ordered by date ascending"
},
"meta": {
"type": "object",
"description": "Series metadata: source_key (FRED series ID), units, frequency (D/W/M/Q/A), date_from, date_to, fields"
}
},
"description": "Station f(x) response with metadata and pre-computed derived metrics"
},
"example": {
"data": [
{
"date": "2024-01-01",
"value": 5.33,
"mom_pct": 0,
"yoy_change": 0.5,
"zscore_12m": 1.2,
"trend_direction": 1
}
],
"meta": {
"frequency": "D",
"source_key": "BAMLH0A0HYM2"
}
}
}Tags
x402
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