Fathom Macroeconomic Data API (FRED-powered)

x402

Fathom Macroeconomic Data API (FRED-powered) is a paid API for AI agents from fredfathom.vercel.app, paid per call via x402, $0.06/call, status unknown (last checked 2026-10-11).

Retrieves historical and current economic time series observations (GDP, inflation, unemployment, interest rates, etc.) from the FRED database by series ID, with optional date range, frequency, and unit transformation filters.

Price / call$0.06

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StatusUnknown

How this service works

Free macroeconomic data API powered by FRED. 816,000+ economic time series. GDP, inflation, unemployment, interest rates, and more.

Output

Returns a JSON object containing the FRED series ID, the data source label, the count of returned observations, and an array of observation objects each containing a date and value. Supports up to 816,000+ FRED economic series with optional frequency aggregation and unit transformations (e.g. percent change, log).

Example use cases

Inflation trend research

“Fetch monthly CPI inflation data (CPIAUCSL) from January 2018 through December 2023, expressed as percent change from a year ago, so I can see how inflation evolved before and after the pandemic.”

Unemployment rate dashboard

“Give me the last 24 monthly observations of the US unemployment rate from FRED — series UNRATE — sorted oldest to newest, so I can chart the trend.”

Interest rate policy analysis

“Get me 10 years of monthly 10-year Treasury yield data from FRED using series DGS10, from January 2015 to January 2025, in the default linear units.”

Technical details

Endpoint

POSThttps://fredfathom.vercel.app/api/observations?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need structured, historical or current macroeconomic time series data backed by the authoritative FRED database (Federal Reserve Bank of St. Louis), especially for US economic indicators like GDP, CPI, unemployment, or interest rates. It is the right choice when you need specific FRED series by ID, flexible date filtering, and unit transformations. Prefer this over generic web search when you need clean, structured numeric data suitable for analysis or charting.

Side effects

Invalid or unknown FRED series ID returns an error or empty observations array
Date range outside the series coverage window returns zero observations
Invalid units transformation string causes a bad request error
Invalid frequency code results in an error response
Network or upstream FRED API unavailability causes a service error
Malformed date strings (non-YYYY-MM-DD format) may cause parsing errors

Input

Schema · Request body

Field	Type	Description
end	string	End date YYYY-MM-DD
sort	string	Sort order: asc or desc (default: desc)
limit	string	Max observations (default: 10)
start	string	Start date YYYY-MM-DD
units	string	Units transformation (lin, chg, ch1, pch, pca, cch, cca, log)
seriesIdrequired	string	FRED series ID (e.g. GDP, UNRATE, CPIAUCSL)
frequency	string	Frequency (d, w, bw, m, q, sa, a)

Output

Schema · Response

Field	Type	Description
count	number
sourcerequired	string
series_id	string
observations	array

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