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StationFX Federal Funds Rate Target Range Upper Limit
x402
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.
Price / call$0.005
Success—
StatusUnknown
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.
Example use cases
Fed policy tightening cycle analysis
“Get me the federal funds rate upper limit from StationFX from January 2022 through today so I can chart the full tightening cycle — include the year-over-year change and the 5-year z-score for each date.”
Real-time macro dashboard update
“Fetch today's FOMC rate ceiling value from StationFX and tell me whether it's above the long-run trend and where it ranks in the last 5 years — use the compact toon format.”
Rate corridor width calculation
“I need the federal funds upper limit for the last 30 days from StationFX — I'm going to pair it with the lower limit to compute the target range width and check if the corridor has changed.”
Technical details
Endpoint
GEThttps://stationfx.com/economic-data/monetary-policy/federal-funds-target-range-upper-limit?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
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": "DFEDTARU"
}
}
}Tags
x402
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