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StationFX Core PCE Inflation Index
x402
StationFX Core PCE Inflation Index 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 the Federal Reserve's primary inflation target — Core PCE (Personal Consumption Expenditures excluding food and energy) — with derived metrics including MoM/YoY changes, z-scores, percentile ranks, and rolling averages.
Price / call$0.005
Success—
StatusUnknown
How this service works
Core PCE excluding food and energy — the single most important inflation series for Fed policy decisions. The FOMC explicitly targets this at 2%. Persistent deviations drive rate decisions. Monthly frequency with full derived metrics and 30+ year history.
Output
Returns a time-series array of Core PCE observations, each with date, raw index value, month-over-month and year-over-year absolute and percent changes, 12-month and 5-year z-scores, 5-year percentile rank, 3-month and 12-month rolling averages, and a binary above-trend flag. Coverage spans 30+ years of monthly data.
Example use cases
Fed rate decision briefing
“I have a macro meeting tomorrow — pull me the latest Core PCE reading from StationFX, including the year-over-year change and whether it's above long-run trend, so I can assess where the Fed stands on rate cuts.”
Inflation trend dashboard
“Get me Core PCE data from StationFX from January 2020 to today in JSON format, with month-over-month and year-over-year changes, so I can chart how inflation has evolved since the pandemic.”
Monetary policy research
“Fetch the 5-year percentile rank and z-score for Core PCE from StationFX for every month in 2023 — I want to see how historically elevated inflation was during that period relative to pre-pandemic norms.”
Technical details
Endpoint
GEThttps://stationfx.com/economic-data/inflation/personal-consumption-expenditures-excluding-food-and-energy-chain-type-price-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need the Fed's preferred inflation measure — Core PCE excluding food and energy — with pre-computed derived metrics (MoM, YoY, z-scores, percentile ranks). Prefer over raw FRED data when you need enriched analytics without computing them yourself. Prefer over headline CPI endpoints when Fed policy sensitivity is the focus. Ideal for macro research agents, rate decision monitoring, and portfolio risk models keyed to monetary policy.
Side effects
- Invalid date range returns empty data array or error
- date_from after date_to returns validation error
- Unsupported fmt value returns error
- Payment not included or insufficient USDC balance returns 402 Payment Required
- Fields parameter with unrecognized metric names may be silently ignored or return error
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": "PCEPILFE"
}
}
}Tags
x402
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