StationFX Unemployment Rate 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 U.S. headline unemployment rate (BLS household survey) with derived statistics including MoM/YoY changes, z-scores, and trend indicators, monthly back to 1948.
Share of the labor force actively looking for work. The headline unemployment rate from the BLS household survey. Use for labor market slack assessment, Phillips curve analysis, and recession identification. Monthly frequency, history back to 1948.
Returns an array of monthly observations each containing the raw unemployment 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 a binary flag indicating whether the value is above the long-run trend. Data covers from 1948 to present at monthly frequency.
GEThttps://stationfx.com/economic-data/labor/unemployment-rate?utm_source=zero.xyzChoose this endpoint when you need the official U.S. headline unemployment rate (U-3) from the BLS household survey with pre-computed statistical context (z-scores, trend flags, rolling averages) rather than raw FRED data. Ideal for macro dashboards, recession scoring models, Fed policy analysis, or Phillips curve research where you want derived analytics alongside the raw series without computing them yourself. Prefer over generic FRED wrappers when monthly frequency and long history (back to 1948) with enriched statistics are required in a single call.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"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": "UNRATE"
}
}
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