StationFX Real GDP Growth

x402

StationFX Real GDP Growth 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 quarterly real GDP data (inflation-adjusted) including BEA advance, second, and third estimates, with derived statistics for growth regime and cycle analysis.

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

GDP adjusted for inflation — the true measure of economic growth. Quarterly BEA advance, second, and third estimates. Two consecutive negative quarters = technical recession. Use for growth regime identification, cycle dating, and productivity analysis. Quarterly frequency.

Output

A JSON array of quarterly observations, each containing the date, raw real GDP value, quarter-over-quarter and year-over-year percent changes, absolute changes, 5-year and 12-month z-scores, percentile rank over trailing 5 years, above-trend flag, and rolling 3-month and 12-month averages. Compact 'toon' format available for agent-friendly output.

Example use cases

Recession regime identification

“Check the real GDP data for the last 8 quarters and tell me whether the US has had two consecutive negative quarters — I need to know if we're technically in a recession right now.”

Macro dashboard growth signal

“Get me real GDP growth figures from StationFX going back to 2020-01-01 through today, including the percentile rank and above-trend flag, so I can update my macro dashboard.”

Economic cycle research

“I'm writing a report on US economic cycles since 2010. Can you pull quarterly real GDP values and year-over-year percent changes from StationFX from 2010-01-01 to 2024-12-31 in JSON?”

Technical details

Endpoint

GEThttps://stationfx.com/economic-data/gdp-growth/real-gross-domestic-product?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need authoritative, inflation-adjusted US GDP data at quarterly frequency with pre-computed statistical context (z-scores, percentile ranks, trend flags) rather than raw BEA downloads. Ideal for growth regime classification, recession identification (two consecutive negative quarters), cycle dating, and macro dashboards. Prefer over raw FRED or BEA APIs when derived analytics like z-scores and above-trend signals are needed without additional computation.

Side effects

Missing or invalid date_from/date_to returns empty data array or 400 error
Requesting future quarters returns no data (BEA estimates not yet published)
Payment failure (x402) if USDC balance is insufficient
Invalid fmt enum value may cause a 400 or fallback to default format
Preliminary BEA estimates may be revised in subsequent releases, causing value changes for the same quarter

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": "Q",
      "source_key": "GDPC1"
    }
  }
}

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