# StationFX Federal Funds Rate Target Range Upper Limit

> StationFX Federal Funds Rate Target Range Upper Limit 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 daily time-series data for the upper bound of the FOMC's federal funds rate target range, with statistical enrichment including z-scores, rolling averages, and trend indicators.

## Facts

- Endpoint: GET https://stationfx.com/economic-data/monetary-policy/federal-funds-target-range-upper-limit?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-federal-funds-rate-target-range-upper-limit-68cbdb19
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_N5ruP9q0j0tX9-CObEFGe

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-federal-funds-rate-target-range-upper-limit-68cbdb19
```

Example prompt: Pull the daily federal funds rate upper limit from StationFX for the past 12 months — I want the raw values plus year-over-year changes and the 5-year z-score so I can calibrate my Fed policy model.

## When to prefer this

Choose this endpoint when you need the upper bound of the Fed funds rate target range specifically — especially when building macro models that require the full policy corridor (paired with the lower limit endpoint), performing Fed policy regime analysis, or when you need pre-computed statistical enrichments (z-scores, rolling averages, trend flags) without post-processing raw FRED data yourself. Prefer this over generic economic data APIs when you need daily frequency Fed policy data with built-in statistical context at low per-call cost.

## Known failure modes

- Invalid date format returns an error — dates must be YYYY-MM-DD
- Requesting dates before data series begins returns empty or partial data
- Invalid fmt enum value (anything other than 'json' or 'toon') may cause a parsing error
- Payment not fulfilled via x402 protocol results in 402 Payment Required response
- Requesting unknown field names in the fields parameter may return null values or be silently ignored

## How this service works

Upper bound of the FOMC's target range for the federal funds rate. The ceiling of the Fed's policy corridor. Pair with the lower limit to determine the full target range width. Daily frequency, essential for any Fed policy model.

## Output

A JSON (or compact 'toon') array of daily observations, each containing the raw upper limit value, date, month-over-month and year-over-year absolute and percentage changes, 12-month and 5-year z-scores, 3-month and 12-month rolling averages, percentile rank over 5 years, and a binary above-trend flag.

## 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": "D",
   "source_key": "DFEDTARU"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/stationfx-federal-funds-rate-target-range-upper-limit-68cbdb19/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)
