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StationFX HY-IG Spread Composite (Credit Stress)
x402
StationFX HY-IG Spread Composite (Credit Stress) is a paid API for AI agents from stationfx.com, paid per call via x402, $0.008/call, status unknown (last checked 2026-10-02).
Returns the daily spread differential between high-yield and investment-grade OAS, pre-computed from BofA index data, to measure incremental credit risk premium and detect credit stress regimes.
Price / call$0.008
Success—
StatusUnknown
How this service works
High-yield OAS minus investment-grade OAS — isolates the incremental risk premium for lower-quality credit. Widens when credit stress is concentrated in weaker issuers. Use for credit differentiation analysis and stress regime detection. Pre-computed daily from BofA index data.
Output
A time-series array of daily observations, each containing the raw HY-IG OAS spread value, 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. Data is pre-computed daily from BofA index data.
Example use cases
Credit stress regime detection
“Is the HY-IG spread signaling elevated credit stress right now? Pull the latest reading from StationFX and tell me how it compares to the past 5-year range — I want the z-score and percentile rank.”
Fixed income portfolio risk review
“I'm reviewing my high-yield bond exposure — can you get me the HY minus IG OAS spread data from StationFX for the past 12 months so I can see if the risk premium has been widening or compressing?”
Macro credit differentiation trend analysis
“Pull the StationFX HY-IG spread composite from January 2023 to December 2023 and show me the month-over-month changes and the 3-month rolling average — I want to understand how credit differentiation evolved that year.”
Technical details
Endpoint
GEThttps://stationfx.com/economic-data/cross-signal/credit-stress-composite-hy-ig-spread?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a clean, pre-computed daily signal that isolates the incremental credit risk premium of high-yield versus investment-grade bonds, particularly for stress regime detection, credit quality bifurcation analysis, or enriching macro dashboards with fixed-income risk signals. It is preferable over raw OAS feeds when you want normalized z-scores and rolling statistics already computed, and over generic financial stress indices when you specifically need credit-tier differentiation rather than broad market stress.
Side effects
- Date range outside available data history returns empty array or error
- Invalid date format (non YYYY-MM-DD) causes parameter validation failure
- Requesting unavailable field names via 'fields' parameter may return nulls or errors
- Payment not processed (x402 unpaid) results in 402 response and no data returned
- Requesting future dates returns no data or truncated series
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": "M",
"source_key": "SERIES_ID"
}
}
}Tags
x402
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