StationFX PCE Chain-Type Price 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 preferred inflation measure (PCE price index) with MoM, YoY, rolling averages, z-scores, trend direction, and percentile rankings for a specified date range.
The Fed's preferred inflation gauge, measuring price changes in personal consumption. Broader than CPI, covers more goods and services. Used directly by the FOMC in setting policy targets. Monthly frequency, includes MoM, YoY, rolling averages, and trend direction.
Returns a JSON array of monthly observations, each containing the raw PCE index value, month-over-month absolute and percentage change, year-over-year absolute and percentage change, 3-month and 12-month rolling averages, 12-month and 5-year z-scores, 5-year percentile rank, and a binary flag indicating whether the reading is above the long-run trend.
GEThttps://stationfx.com/economic-data/inflation/personal-consumption-expenditures-chain-type-price-index?utm_source=zero.xyzChoose this endpoint when you need the Fed's official preferred inflation measure (PCE) rather than CPI — particularly for monetary policy analysis, FOMC decision context, or any application where you need broader consumption basket coverage. It is superior to CPI-focused endpoints for Fed-watching, rate outlook modeling, or macro research that aligns with how the Federal Reserve frames its 2% inflation target. The enriched metrics (z-scores, trend flags, percentile ranks) make it especially useful for statistical context without additional computation.
| 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": "M",
"source_key": "PCEPI"
}
}
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