# StationFX Core PCE Inflation Index

> 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.

## Facts

- Endpoint: GET https://stationfx.com/economic-data/inflation/personal-consumption-expenditures-excluding-food-and-energy-chain-type-price-index?utm_source=zero.xyz
- Price: $0.005/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/stationfx-core-pce-inflation-index-469bbf35
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dZIY-Pm9TEGWbdc_bypzj

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability stationfx-core-pce-inflation-index-469bbf35
```

Example prompt: Pull Core PCE inflation data from StationFX for the last 24 months in JSON format, and show me the year-over-year percent change and 5-year z-score for each observation so I can see how far we are from the Fed's 2% target.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http",
     "description": "Always \"http\" for HTTP endpoints"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string",
     "description": "HTTP method. Always GET for StationFX query endpoints"
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "fmt": {
       "enum": [
        "json",
        "toon"
       ],
       "type": "string",
       "description": "Response format. Use toon for compact agent-friendly output."
      },
      "fields": {
       "type": "string",
       "description": "Comma-separated metric names"
      },
      "date_to": {
       "type": "string",
       "description": "End date YYYY-MM-DD"
      },
      "date_from": {
       "type": "string",
       "description": "Start date YYYY-MM-DD"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string",
     "description": "Response format. Always \"json\" (or \"toon\" if fmt=toon was requested)"
    },
    "example": {
     "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
… (truncated)
```

## Response schema (JSON Schema)

```json
{
 "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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/stationfx-core-pce-inflation-index-469bbf35/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from stationfx.com](https://www.zero.xyz/host/stationfx.com/llms.txt)