# StationFX Capacity Utilization Total Index

> StationFX Capacity Utilization Total 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 monthly capacity utilization rate for total industry (manufacturing, mining, and utilities) with derived trend statistics and inflation-risk thresholds.

## Facts

- Endpoint: GET https://stationfx.com/economic-data/industrial/capacity-utilization-total-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-capacity-utilization-total-index-f4fcbec7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hsTA3hSTcISPRr3MDqHtU

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-capacity-utilization-total-index-f4fcbec7
```

Example prompt: Pull the latest US total capacity utilization reading from StationFX, including month-over-month and year-over-year changes, and flag whether it's above or below the 80% slack threshold — use compact toon format and show data from the last 6 months.

## When to prefer this

Choose this endpoint when you need the official Federal Reserve capacity utilization series with pre-computed derivative statistics (MoM, YoY, z-scores, percentile ranks, trend flags) in a single call. Prefer it over raw FRED data when you need enriched analytics ready for agent reasoning without additional computation. Ideal for inflation risk monitoring, industrial cycle analysis, or Fed policy context where the 80%/85% threshold semantics matter.

## Known failure modes

- Invalid date range returns empty data array or 400 error
- Unsupported fmt parameter value returns validation error
- Date range with no observations (future dates or pre-series dates) returns empty array
- Network or payment failure returns 402 or 5xx status
- Misspelled fields parameter silently omits requested metrics

## How this service works

Fed measure of output from manufacturing, mining, and utilities as a percentage of capacity. Below 80% signals slack; above 85% signals potential inflation pressure. Use for industrial cycle analysis, capacity investment timing, and inflation risk assessment. Monthly frequency.

## Output

Returns an array of monthly observations, each containing the raw capacity utilization rate (%), month-over-month and year-over-year absolute and percentage changes, trailing z-scores (12-month and 5-year), a percentile rank over the trailing 5 years, 3-month and 12-month rolling averages, and an above-trend binary flag. Output is either JSON or compact toon format.

## 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": "TCU"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/stationfx-capacity-utilization-total-index-f4fcbec7/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)