StationFX Job Openings to Unemployed Ratio

x402

StationFX Job Openings to Unemployed Ratio is a paid API for AI agents from stationfx.com, paid per call via x402, $0.008/call, status unknown (last checked 2026-10-02).

Returns the pre-computed monthly ratio of JOLTS job openings to BLS unemployed persons, with derived statistics, indicating labor market tightness over time.

Price / call$0.008

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Success—

StatusUnknown

How this service works

JOLTS job openings divided by BLS unemployed persons count. Above 1.0 means more open jobs than unemployed workers — historically tight labor market. Below 1.0 signals loosening. Peaked above 2.0 in 2022. Pre-computed monthly, directly comparable across cycles.

Output

Returns a time-series array of monthly observations, each containing the raw ratio value, month-over-month and year-over-year absolute and percent changes, 12-month and 5-year z-scores, 5-year percentile rank, 3-month and 12-month rolling averages, and an above-trend flag. Data is pre-computed and directly comparable across business cycles.

Example use cases

Labor market tightness dashboard

“Give me the job openings to unemployed ratio from January 2020 through today — I want to see how labor market tightness evolved from pre-COVID through the 2022 peak and where it stands now.”

Recession watch signal check

“What is the current job openings to unemployed ratio and is it above or below 1.0? I'm trying to gauge whether the labor market is still historically tight or starting to crack.”

Fed policy context briefing

“Pull the job openings to unemployed ratio for the past two years and tell me the year-over-year change and 5-year z-score for the most recent month — I need labor market context for a Fed policy analysis.”

Technical details

Endpoint

GEThttps://stationfx.com/economic-data/cross-signal/job-openings-to-unemployed-ratio?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a pre-computed, directly comparable labor market tightness ratio rather than raw JOLTS job openings or BLS unemployment counts separately. Ideal for macro dashboards, Fed policy analysis, recession monitoring, or any use case requiring a normalized cross-signal that spans multiple economic cycles without manual computation.

Side effects

Invalid date format returns an error — dates must be YYYY-MM-DD
Requesting future dates beyond the latest available monthly release returns empty or partial data
Unsupported fmt value (not 'json' or 'toon') may return an error or default behavior
Payment failure (x402) if USDC balance is insufficient — returns 402 status
Very narrow date ranges may return only one or zero observations

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": "M",
      "source_key": "SERIES_ID"
    }
  }
}

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