# StationFX Real GDP Growth > 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. ## Facts - Endpoint: GET https://stationfx.com/economic-data/gdp-growth/real-gross-domestic-product?utm_source=zero.xyz - Price: $0.005/call - Payment: x402 - Status: unknown - Last checked: 2026-10-02 - Activations on Zero: 0 - Tags: x402 - Canonical page: https://www.zero.xyz/c/stationfx-real-gdp-growth-f6879339 - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GtqRKAkNWuCRBMnzDpHrC Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently. ## How to call it through Zero Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`): ```sh zero fetch --capability stationfx-real-gdp-growth-f6879339 ``` Example prompt: Pull the latest quarterly real GDP growth data from StationFX for the past two years — I want to see if we're in a technical recession and how current growth compares to the 5-year historical range, in JSON format. ## When to prefer this 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. ## Known failure modes - 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 ## 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. ## Request schema (JSON Schema) ```json { "type": "object", "$schema": "https://json-schema.org/draft/2020-12/schema", "required": [ "input" ], "properties": { "input": { "type": "object", "required": [ "type", "method" ], "properties": { "type": { "type": "string", "const": "http", "description": "Always \"http\" for HTTP endpoints" }, "method": { "enum": [ "GET", "HEAD", "DELETE" ], "type": "string", "description": "HTTP method. Always GET for StationFX query endpoints" }, "queryParams": { "type": "object", "properties": { "fmt": { "enum": [ "json", "toon" ], "type": "string", "description": "Response format. Use toon for compact agent-friendly output." }, "fields": { "type": "string", "description": "Comma-separated metric names" }, "date_to": { "type": "string", "description": "End date YYYY-MM-DD" }, "date_from": { "type": "string", "description": "Start date YYYY-MM-DD" } } } }, "additionalProperties": false }, "output": { "type": "object", "required": [ "type" ], "properties": { "type": { "type": "string", "description": "Response format. Always \"json\" (or \"toon\" if fmt=toon was requested)" }, "example": { "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 … (truncated) ``` ## Response schema (JSON Schema) ```json { "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" } } } ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/stationfx-real-gdp-growth-f6879339/health.json - [Zero catalog index](https://www.zero.xyz/llms.txt) - [Other services from stationfx.com](https://www.zero.xyz/host/stationfx.com/llms.txt)