# StationFX Core CPI (Less Food & Energy) > StationFX Core CPI (Less Food & Energy) 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 U.S. Core CPI (all urban consumers, excluding food and energy) with derived metrics including MoM/YoY changes, z-scores, and percentile ranks for inflation trend analysis. ## Facts - Endpoint: GET https://stationfx.com/economic-data/inflation/consumer-price-index-for-all-urban-consumers-all-items-less-food-and-energy-in-u-s-city-average?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-core-cpi-less-food-energy-408db58d - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5am7O4cWgs8VOFQjG3_Eh 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-core-cpi-less-food-energy-408db58d ``` Example prompt: Pull the core CPI data (all urban consumers, ex-food and energy) for the past 12 months from StationFX, including year-over-year percent change, the 5-year z-score, and the percentile rank, in JSON format. ## When to prefer this Choose this endpoint when you need the Fed's preferred core inflation measure — CPI ex-food and energy — with pre-computed derived signals (z-scores, percentile ranks, rolling averages) rather than raw index values alone. Prefer this over headline CPI endpoints when stripping volatile food and energy components is important for analyzing persistent price pressure. Ideal for macro models, Fed policy forecasting, and inflation regime classification where monthly frequency and statistical context are required. ## Known failure modes - Invalid date format (date_from/date_to not YYYY-MM-DD) returns a 400 error - Requesting future dates returns empty or partial data - Unknown field names in the fields parameter may return nulls or errors - Payment failure via x402 protocol returns 402 with no data - Very wide date ranges may return large payloads; use field selection to limit ## How this service works CPI excluding food and energy — the Fed's preferred measure of underlying inflation trend. Strips out volatile components to reveal persistent price pressure. Critical input for Fed policy models and inflation persistence analysis. Monthly frequency with full derived metrics including z-score and percentile rank. ## Output A time-series array of monthly core CPI observations, each containing the raw index value, month-over-month and year-over-year changes (absolute and percent), 12-month and 5-year z-scores, 5-year percentile rank, 3-month and 12-month rolling averages, and an above-trend binary flag. ## 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": "M", "source_key": "CPILFESL" } } } ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/stationfx-core-cpi-less-food-energy-408db58d/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)