# StationFX CPI All Urban Consumers (All Items) > StationFX CPI All Urban Consumers (All Items) 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 monthly U.S. headline CPI data for all urban consumers, including MoM/YoY changes, z-scores, rolling averages, and trend indicators from 1947 to present. ## Facts - Endpoint: GET https://stationfx.com/economic-data/inflation/consumer-price-index-for-all-urban-consumers-all-items-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-cpi-all-urban-consumers-all-items-0abe294b - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rmJT8ZrLvEzMjyyG2l5Zd 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-cpi-all-urban-consumers-all-items-0abe294b ``` Example prompt: Pull the headline U.S. CPI data for all urban consumers from January 2020 through December 2023, including year-over-year and month-over-month percent changes, and give me the results in compact agent-friendly format. ## When to prefer this Choose this endpoint when you need the broadest, most widely reported U.S. inflation measure — the all-items CPI for all urban consumers — which is the headline number cited in major economic releases and media. Prefer this over core CPI when you want total inflation including food and energy, or when benchmarking against official headline figures. It offers the longest historical data (back to 1947) and pre-computed derived metrics (MoM, YoY, z-scores, rolling averages) so you don't need to calculate them yourself. ## Known failure modes - Invalid date format (not YYYY-MM-DD) returns a parsing error - Requesting a date range before 1947 may return empty or partial data - Invalid field names in the fields parameter are silently ignored or cause a validation error - Unsupported fmt value returns an error - Payment failure (insufficient USDC balance or x402 protocol error) blocks the request ## How this service works Broadest measure of U.S. consumer price inflation, covering all urban consumers. The headline number reported in major economic releases. Use for inflation trend analysis, YoY comparison, and historical regime identification. Monthly frequency from 1947, includes MoM and YoY derived metrics. ## Output Returns a JSON array of monthly observations, each containing the raw CPI index value, month-over-month and year-over-year absolute and percent changes, 5-year and 12-month z-scores, 3-month and 12-month rolling averages, 5-year percentile rank, and a binary above-trend flag. Data covers all urban consumers for all items in the U.S. city average, monthly from 1947 onward. ## 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": "CPIAUCSL" } } } ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/stationfx-cpi-all-urban-consumers-all-items-0abe294b/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)