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Economic Data API

The Economic Data API provides access to datasets. This data is essential for macroeconomic analysis, forecasting, and understanding market-moving economic indicators across global markets.

GET/econ/find

AI-powered natural language search for economic time series. Describe the dataset you need in plain English, and the endpoint uses an AI model to translate your query into relevant FRED search terms, returning matching series metadata. Ideal for discovery when you don't know the exact series name.

Query Parameters

ParameterTypeRequiredDescription
querystringRequiredNatural language description of the economic data you're looking for (e.g., "Semiconductor spending", "Housing starts in California")

Examples:

https://api.axionquant.com/econ/find?query=GDP
https://api.axionquant.com/econ/find?query=Unemployment+rate

Response Fields

Returns an array of series objects with the same fields as the /econ/search endpoint. Results are automatically deduplicated across the AI-generated search terms.

id string

Series ID

realtimeStart string

Start of real-time period (YYYY-MM-DD)

realtimeEnd string

End of real-time period (YYYY-MM-DD)

title string

Full series title

observationStart string

First observation date (YYYY-MM-DD)

observationEnd string

Last observation date (YYYY-MM-DD)

frequency string

Full frequency description

frequencyShort string

Abbreviated frequency code

units string

Measurement units

unitsShort string

Abbreviated units

seasonalAdjustment string

Seasonal adjustment method

seasonalAdjustmentShort string

Short seasonal adjustment code

lastUpdated string

Last update timestamp

popularity string

Popularity score (higher = more accessed)

notes string

Detailed description and source information

|

Find Economic Series

Request

Sample code
1from axion import Axion
2client = Axion(api_key='axn_123')
3
4results = client.econ.find('Semiconductor spending')
5print(results)

Response

[
  {
    "id": "IPG3344S",
    "realtimeStart": "2026-07-10",
    "realtimeEnd": "2026-07-10",
    "title": "Industrial Production: Manufacturing: Durable Goods: Semiconductor and Other Electronic Component (NAICS = 3344)",
    "observationStart": "1972-01-01",
    "observationEnd": "2026-05-01",
    "frequency": "Monthly",
    "frequencyShort": "M",
    "units": "Index 2017=100",
    "unitsShort": "Index 2017=100",
    "seasonalAdjustment": "Seasonally Adjusted",
    "seasonalAdjustmentShort": "SA",
    "lastUpdated": "2026-06-15 08:25:00-05",
    "popularity": "44",
    "notes": "explanatory notes issued by the Board of Governors."
  },
  {
    "id": "A34SNO",
    "realtimeStart": "2026-07-10",
    "realtimeEnd": "2026-07-10",
    "title": "Manufacturers' New Orders: Computers and Electronic Products",
    "observationStart": "1992-02-01",
    "observationEnd": "2026-05-01",
    "frequency": "Monthly",
    "frequencyShort": "M",
    "units": "Millions of Dollars",
    "unitsShort": "Mil. of $",
    "seasonalAdjustment": "Seasonally Adjusted",
    "seasonalAdjustmentShort": "SA",
    "lastUpdated": "2026-07-02 09:07:40-05",
    "popularity": "40",
    "notes": "Data on New Orders for the Semiconductor Industry are not available."
  },
  {
    "id": "CAPUTLG3344S",
    "realtimeStart": "2026-07-10",
    "realtimeEnd": "2026-07-10",
    "title": "Capacity Utilization: Manufacturing: Durable Goods: Semiconductor and Other Electronic Component (NAICS = 3344)",
    "observationStart": "1972-01-01",
    "observationEnd": "2026-05-01",
    "frequency": "Monthly",
    "frequencyShort": "M",
    "units": "Percent",
    "unitsShort": "%",
    "seasonalAdjustment": "Seasonally Adjusted",
    "seasonalAdjustmentShort": "SA",
    "lastUpdated": "2026-06-15 08:30:11-05",
    "popularity": "30",
    "notes": "explanatory notes issued by the Board of Governors."
  },
  {
    "id": "IPB53122S",
    "realtimeStart": "2026-07-10",
    "realtimeEnd": "2026-07-10",
    "title": "Industrial Production: Durable Goods Materials: Semiconductors, Printed Circuit Boards, and Other",
    "observationStart": "1954-01-01",
    "observationEnd": "2026-05-01",
    "frequency": "Monthly",
    "frequencyShort": "M",
    "units": "Index 2017=100",
    "unitsShort": "Index 2017=100",
    "seasonalAdjustment": "Seasonally Adjusted",
    "seasonalAdjustmentShort": "SA",
    "lastUpdated": "2026-06-15 08:31:01-05",
    "popularity": "17",
    "notes": "explanatory notes issued by the Board of Governors."
  }
]
GET/econ/search

Searches for economic time series by keyword or description. Returns metadata for matching series including frequency, units, and coverage period. This endpoint is typically used to discover series IDs for data retrieval.

Query Parameters

ParameterTypeRequiredDescription
querystringRequiredSearch term for economic series (e.g., "Corn prices", "GDP", "Unemployment")

Examples:

https://api.axionquant.com/econ/search?query=GDP
https://api.axionquant.com/econ/search?query=Unemployment&limit=50

Response Fields

id string

Series ID

realtimeStart string

Start of real-time period (YYYY-MM-DD)

realtimeEnd string

End of real-time period (YYYY-MM-DD)

title string

Full series title

observationStart string

First observation date (YYYY-MM-DD)

observationEnd string

Last observation date (YYYY-MM-DD)

frequency string

Full frequency description

frequencyShort string

Abbreviated frequency code

units string

Measurement units

unitsShort string

Abbreviated units

seasonalAdjustment string

Seasonal adjustment method

seasonalAdjustmentShort string

Short seasonal adjustment code

lastUpdated string

Last update timestamp

popularity string

Popularity score (higher = more accessed)

notes string

Detailed description and source information

|

Search Economic Series

Request

Sample code
1from axion import Axion
2client = Axion(api_key='axn_123')
3
4results = client.econ.search('Corn')
5print(results)

Response

[
  {
    "id": "PMAIZMTUSDM",
    "realtimeStart": "2025-12-25",
    "realtimeEnd": "2025-12-25",
    "title": "Global price of Corn",
    "observationStart": "1990-01-01",
    "observationEnd": "2025-06-01",
    "frequency": "Monthly",
    "frequencyShort": "M",
    "units": "U.S. Dollars per Metric Ton",
    "unitsShort": "U.S. $ per Metric Ton",
    "seasonalAdjustment": "Not Seasonally Adjusted",
    "seasonalAdjustmentShort": "NSA",
    "lastUpdated": "2025-07-18 09:37:11-05",
    "popularity": "54",
    "notes": "Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm."
  },
  {
    "id": "PMAIZMTUSDA",
    "realtimeStart": "2025-12-25",
    "realtimeEnd": "2025-12-25",
    "title": "Global price of Corn",
    "observationStart": "1990-01-01",
    "observationEnd": "2024-01-01",
    "frequency": "Annual",
    "frequencyShort": "A",
    "units": "U.S. Dollars per Metric Ton",
    "unitsShort": "U.S. $ per Metric Ton",
    "seasonalAdjustment": "Not Seasonally Adjusted",
    "seasonalAdjustmentShort": "NSA",
    "lastUpdated": "2025-01-27 13:31:17-06",
    "popularity": "24",
    "notes": "Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm."
  }
]
GET/econ/dataset/:id

Retrieves the complete historical time series data for a specific dataset ID. Returns all observations including revisions history (multiple realtime periods). Essential for backtesting and historical analysis.

Path Parameters

ParameterTypeRequiredDescription
idstringRequiredSeries ID obtained from the search endpoint (e.g., "PMAIZMTUSDM")

Examples:

https://api.axionquant.com/econ/dataset/GDP
https://api.axionquant.com/econ/dataset/UNRATE?from=2020-01-01&to=2024-12-31

Response Fields

realtimeStart string

ISO 8601 timestamp of real-time period start

date string

ISO 8601 timestamp of observation date

value number

Economic indicator value (may be null for missing data)

|

Dataset by ID

Request

Sample code
1from axion import Axion
2client = Axion(api_key='axn_123')
3
4dataset = client.econ.dataset('PMAIZMTUSDM')
5print(dataset)

Response

[
  {
    "realtimeStart": "2015-03-13T00:00:00.000Z",
    "date": "1971-01-01T00:00:00.000Z",
    "value": 63.4
  },
  {
    "realtimeStart": "2015-03-13T00:00:00.000Z",
    "date": "1971-02-01T00:00:00.000Z",
    "value": 63.6
  },
  {
    "realtimeStart": "2015-03-13T00:00:00.000Z",
    "date": "1971-03-01T00:00:00.000Z",
    "value": 62
  },
  {
    "realtimeStart": "2015-03-13T00:00:00.000Z",
    "date": "1971-04-01T00:00:00.000Z",
    "value": 60.8
  }
]

News API

The News API provides real-time access to financial and general news articles from global sources. This API supports filtering by company ticker, country, or category, making it essential for staying informed about market-moving events, corporate developments, and macroeconomic trends.

GET/news/:ticker

Retrieves recent news articles specifically related to a company by its ticker symbol. This endpoint automatically converts the ticker to the company's full name and fetches relevant news from financial and general news sources.

Path Parameters

ParameterTypeRequiredDescription
tickerstringRequiredStock ticker symbol (e.g., "AAPL", "TSLA", "MSFT")

Examples:

https://api.axionquant.com/news/AAPL
https://api.axionquant.com/news/TSLA

Response Fields

title string

Article headline

link string

Encoded URL to the full article

summary string

Article summary or excerpt

published string

Publication date (RFC 1123 format)

|

Company News

Request

Sample code
1from axion import Axion
2client = Axion(api_key='axn_123')
3
4news = client.news.company('AAPL')
5print(news)

Response

[
  {
    "title": "Apple spent 2025 setting itself up for the future - and its biggest moves weren't about AI - Yahoo Finance",
    "link": "https://api.axionquant.com/news/article/aHR0cHM6Ly9uZXdzLmdvb2dsZS5jb20vcnNzL2FydGljbGVzL0NCTWl6d0ZCVlY5NWNVeE5OblZDV1VwbVMxTnhaVlZRYVd4VlRqQk9XR1ZOTWxFM1UxaFdiRjlXYld4elNDMWlVVk5IYWxKT1pFbGhWbmc1TlZKRlEycHJNMHBKYjNGeGMyUXlPRTAzZGxGNFRGaFRiVUZWTUhveGRsRk9Va2M1YmxKV2R6RTFSbkV4VDBKV1pHTmtNMVJ6TVRsV00xaFZjbWRwYVRsUFJYbEdRbGRMU3pWMFVrZGZUVFJzZFdkWE9Vb3lUSGgyT0hZMlZWQTROM2R5YUhkb1pVczJiM0JLVVV0d2FuUk5RalpKTUZacVpITm9WamhXVEhOamVVaG9WMnhMZGt4dFUxWk1hV2szVlZaUlJ6bERhekE_b2M9NQ",
    "summary": "Apple spent 2025 setting itself up for the future - and its biggest moves weren't about AI  Yahoo Finance",
    "published": "Wed, 24 Dec 2025 09:05:43 GMT"
  },
  {
    "title": "Apple Just Released a New AI Model. Should You Buy AAPL Stock Here? - Barchart.com",
    "link": "https://api.axionquant.com/news/article/aHR0cHM6Ly9uZXdzLmdvb2dsZS5jb20vcnNzL2FydGljbGVzL0NCTWlyd0ZCVlY5NWNVeE9aRVV6TkZoTWJqbFpiRzV2YTI4MlFsUnFjMGhxVldSbU0waFZWek5SU0d4WlRsRkdaRWg0YW05Rk9IcFBUbFE0WTNJMlNDMUxOMk5oYjJ4SGEzQktNMGhqUmpkd2NWOUVWelpWY3pCZmFWcHVhemhFVTA5RFpuSlBlbkJEV0hGV2FtNUxXV1ZaTW1GUE9GWkljSGxzU0hWNGFrZHFiVk41U2psQ2RFOXplRk52YmpVM1dXSTJTa3hWWVZZd1VsVmZTM1pCY21wR05ubHdTWEY2T1RneGIwbHBNVWhLYVZWSj9vYz01",
    "summary": "Apple Just Released a New AI Model. Should You Buy AAPL Stock Here?  Barchart.com",
    "published": "Tue, 23 Dec 2025 16:00:03 GMT"
  }
]