# StationFX PCE Chain-Type Price Index

> 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.

## Facts

- Endpoint: GET https://stationfx.com/economic-data/inflation/personal-consumption-expenditures-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-pce-chain-type-price-index-66125076
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EYAWR45aXfbRJkyKBXILR

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-pce-chain-type-price-index-66125076
```

Example prompt: Pull the PCE chain-type price index data from StationFX for the past 12 months — give me the month-over-month and year-over-year changes, the 3-month rolling average, and whether each reading is above the long-run trend, formatted as JSON.

## When to prefer this

Choose 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.

## Known failure modes

- Invalid date format returns a 400 error — dates must be YYYY-MM-DD
- Requesting data outside the available historical range may return an empty data array
- Invalid field names in the fields parameter may be silently ignored or return an error
- Payment not included or insufficient USDC balance returns a 402 Payment Required
- Malformed fmt enum value may default to JSON or return a 400 error

## How this service works

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.

## Output

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.

## 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": "PCEPI"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/stationfx-pce-chain-type-price-index-66125076/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)
