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StationFX Chicago Fed National Financial Conditions Index
x402
StationFX Chicago Fed National Financial Conditions 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).
Retrieves the Chicago Fed's weekly composite index of 105 financial indicators summarizing broad U.S. financial conditions, enriched with z-scores, percentile ranks, and trend statistics.
Price / call$0.005
Success—
StatusUnknown
How this service works
Chicago Fed composite index of 105 financial indicators covering money markets, debt, equity, and banking. Positive = tighter than average conditions, negative = looser. Weekly frequency, provides a single number summarizing broad financial conditions. Use for macro regime assessment and risk model inputs.
Output
Returns an array of weekly observations, each containing the NFCI composite value, month-over-month and year-over-year changes (absolute and percentage), z-scores relative to trailing 12 months and 5 years, percentile rank over 5 years, 3-month and 12-month rolling averages, and an above-trend binary flag. Positive values indicate tighter-than-average financial conditions; negative values indicate looser-than-average conditions.
Example use cases
Macro regime dashboard for portfolio risk
“Fetch the Chicago Fed NFCI from StationFX for the last 12 months so I can determine whether we're in a tight or loose financial conditions regime for my portfolio risk model.”
Weekly financial stress monitoring alert
“Get me the latest weekly Chicago Fed financial conditions reading from StationFX — I want to see the current value and its 5-year z-score to know if conditions are unusually tight right now.”
Historical tightening cycle analysis
“Pull the Chicago Fed NFCI data from StationFX from 2022-01-01 to 2023-12-31 so I can analyze how financial conditions evolved through the Fed's rate hiking cycle.”
Technical details
Endpoint
GEThttps://stationfx.com/economic-data/financial-conditions/chicago-fed-national-financial-conditions-index?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a single authoritative composite measure of broad U.S. financial conditions backed by 105 indicators across money markets, debt, equity, and banking sectors. Prefer it over individual rate or spread series when you want a holistic macro regime signal. Ideal for feeding systematic risk models, macro dashboards, and regime-detection algorithms. The enriched statistics (z-scores, percentile ranks, rolling averages) save downstream computation compared to fetching raw Fed data.
Side effects
- Invalid date format returns error — use YYYY-MM-DD
- Requesting future dates returns no data or empty array
- Unknown field names in 'fields' parameter may be silently ignored or cause errors
- Missing payment (x402) returns 402 Payment Required
- Very early historical dates may have no data if outside NFCI coverage window
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": "W",
"source_key": "NFCI"
}
}
}Tags
x402
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