StationFX 10-Year Breakeven Inflation Rate 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).
Returns daily market-implied 10-year inflation expectations derived from the spread between nominal Treasury and TIPS yields, with derived metrics including z-scores, trend flags, and rolling averages.
Market-implied inflation expectation over the next 10 years, derived from the spread between nominal Treasury and TIPS yields. Primary input for real rate calculations, inflation regime detection, and Fed policy models. Rises when markets expect higher future inflation. Daily frequency, 20+ year history with full derived metrics.
Returns a JSON array of daily observations, each containing the raw breakeven rate value (in percent), month-over-month and year-over-year changes (absolute and percentage), trailing z-scores over 12-month and 5-year windows, a percentile rank over 5 years, a binary above-trend flag, and rolling 3-month and 12-month averages. History spans 20+ years.
GEThttps://stationfx.com/economic-data/inflation/10-year-breakeven-inflation-rate?utm_source=zero.xyzChoose this endpoint when you need market-implied inflation expectations (not realized CPI) derived from Treasury-TIPS spreads, with precomputed derived metrics like z-scores, trend flags, and rolling averages. Prefer it over raw FRED data when you need analysis-ready inflation data without building your own derived metrics. Best suited for real rate models, inflation regime detection, and Fed policy analysis.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"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": "T10YIE"
}
}
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