# StationFX GDPNow Real-Time GDP Growth Estimate > StationFX GDPNow Real-Time GDP Growth Estimate 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 Atlanta Fed's GDPNow real-time nowcast of current-quarter U.S. GDP growth, updated continuously as new economic data releases arrive. ## Facts - Endpoint: GET https://stationfx.com/economic-data/gdp-growth/gdpnow?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-gdpnow-real-time-gdp-growth-estimate-75d1cfe3 - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1oI3Ztyhy120huwbpVXW7 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-gdpnow-real-time-gdp-growth-estimate-75d1cfe3 ``` Example prompt: Pull the latest GDPNow estimate for the current quarter in JSON format — I want the value, its year-over-year change, and its z-score relative to the past 5 years so I can see how surprising this read is. ## When to prefer this Choose this endpoint when you need the most current real-time GDP growth estimate before the official BEA quarterly release, especially for nowcasting, economic surprise detection, or macro positioning. It is updated irregularly on data release days, making it ideal for agents monitoring intra-quarter GDP trajectory. Prefer it over lagged official BEA data when timeliness matters, and over general economic data APIs when you specifically need the Atlanta Fed's GDPNow model output with pre-computed statistical context (z-scores, percentile ranks, trend signals). ## Known failure modes - No data available for requested date range — GDPNow is only updated on economic data release days so gaps between updates are normal - Invalid date format in date_from or date_to parameters — must be YYYY-MM-DD - Invalid fmt parameter value — only 'json' or 'toon' accepted - Payment failure or insufficient USDC balance for x402 micropayment - Rate limiting if too many calls made in rapid succession - Requested fields not found in the metric list returns empty or partial response ## How this service works Atlanta Fed real-time GDP growth estimate updated continuously with incoming data releases. Provides the most current read on current-quarter GDP before the official BEA estimate. Useful for nowcasting, growth surprise detection, and positioning ahead of GDP releases. Irregular frequency, updated on data release days. ## Output Returns a time-series array of GDPNow observations, each containing the observation date, raw estimated GDP growth value, month-over-month and year-over-year changes, z-scores relative to 12-month and 5-year windows, percentile rank, rolling 3-month and 12-month averages, and an above-trend binary flag. Optionally available in compact 'toon' format for agent-friendly consumption. ## 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": "GDPNOW" } } } ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/stationfx-gdpnow-real-time-gdp-growth-estimate-75d1cfe3/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)