StationFX Federal Funds Target Range Lower Limit

x402

StationFX Federal Funds Target Range Lower 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 lower bound of the FOMC's federal funds rate target range, enabling tracking of Fed policy rate stance and rate hike/cut cycles.

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

Lower bound of the FOMC's target range for the federal funds rate. Changes only at scheduled FOMC meetings (or emergency actions). Use to track the official policy rate stance and identify rate hike/cut cycles. Daily frequency.

Output

Returns a JSON array of daily observations for the FOMC federal funds rate lower bound. Each record includes the date, raw rate value, month-over-month and year-over-year absolute and percentage changes, 12-month and 5-year z-scores, 5-year percentile rank, 3-month and 12-month rolling averages, and an above-trend indicator flag. Optional 'toon' format provides a compact agent-friendly representation.

Example use cases

Tracking the Fed rate hike cycle

“Show me the daily federal funds rate lower bound from January 2022 through December 2023 so I can map out the full Fed tightening cycle — give me the values along with year-over-year changes.”

Macro dashboard policy rate widget

“Get me the most recent federal funds lower limit value from StationFX, including its 5-year z-score and percentile rank, so I can display current policy stance on my macro dashboard.”

Detecting Fed pivot timing

“Fetch the federal funds target range lower bound from StationFX going back to 2019, and show me the month-over-month changes so I can identify exactly when the Fed pivoted from hiking to cutting.”

Technical details

Endpoint

GEThttps://stationfx.com/economic-data/monetary-policy/federal-funds-target-range-lower-limit?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need the official FOMC federal funds rate lower bound specifically — as opposed to market-implied rates, effective fed funds rate (EFFR), or upper bound. Ideal for agents building policy rate dashboards, macro models, or rate cycle detection logic that requires daily granularity and pre-computed statistical enrichments (z-scores, percentile ranks, rolling averages) without additional computation.

Side effects

Invalid date format (non-YYYY-MM-DD) returns an error response
Requesting dates outside available historical range may return empty data array
Unsupported fmt value other than 'json' or 'toon' may cause an error
Missing or invalid x402 payment header results in 402 Payment Required
Network timeout for broad date ranges with large payloads

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "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": "DFEDTARL"
    }
  }
}

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