Credit API

The Credit API provides access to institutional credit ratings data, allowing you to search for organizations and retrieve their detailed credit ratings history. This data is essential for credit risk analysis, investment due diligence, and regulatory compliance.

GET/credit/search

Searches for organizations by name and returns matching entities with their basic identification information. This endpoint is useful for discovering the correct organization ID needed to retrieve detailed credit ratings.

Query Parameters

Parameter	Type	Required	Description
query	string	Required	Organization name or identifier to search for. Supports partial matches.

Examples:

https://api.axionquant.com/credit/search?query=AAPL

https://api.axionquant.com/credit/search?query=MSFT&limit=20

Response Fields

id string

Unique organization identifier

name string

Full organization name

sectorCode string

Industry sector code (e.g., "CORP" for Corporate)

country string

Country of domicile

state string

State or province (if applicable)

navigationUrl string|null

URL for detailed organization page

Search Organizations

Request

Sample code

1from axion import Axion
2client = Axion(api_key='axn_123')
3
4results = client.credit.search('Apple')
5print(results)

Response

[
  {
    "id": "689595",
    "name": "Apple Bidco, LLC",
    "sectorCode": "CORP",
    "country": "USA",
    "state": "Texas",
    "navigationUrl": null
  },
  {
    "id": "112354",
    "name": "Apple Inc.",
    "sectorCode": "CORP",
    "country": "USA",
    "state": "California",
    "navigationUrl": null
  }
]

GET/credit/ratings/:id

Retrieves all credit ratings for a specific organization identified by its ID. Returns detailed rating information including rating type, current outlook, and review dates. Essential for analyzing creditworthiness and monitoring rating changes over time.

Path Parameters

Parameter	Type	Required	Description
id	string	Required	Organization ID obtained from the search endpoint

Examples:

https://api.axionquant.com/credit/ratings/12345

https://api.axionquant.com/credit/ratings/67890

Response Fields

orgDebtTypeDesc string

Description of debt type (e.g., "Issuer Credit Rating")

rating string

Credit rating letter grade (e.g., "B")

ratingDate string

Date when rating was assigned (DD-MMM-YYYY)

currentCwOl string

Current credit watch/outlook (e.g., "Stable")

currentCwOlDate string

Date of current outlook (DD-MMM-YYYY)

ratingDebtTypeCode string

Rating debt type code (e.g., "ICR")

lastReviewDate string

Last review date (DD-MMM-YYYY)

coreOrgId string

Core organization ID

endorsementIndicator string

Regulatory endorsement indicator

coreRatingId string

Unique rating identifier

ratingTypeCode string

Rating type code (e.g., "STDLONG")

ratingTypeCodeDesc string

Rating type description

pcrFlag boolean

Public Credit Rating flag

id number

Sequential identifier

Credit Ratings

Request

Sample code

1from axion import Axion
2client = Axion(api_key='axn_123')
3
4ratings = client.credit.ratings('112354')
5print(ratings)

Response

[
  {
    "orgDebtTypeDesc": "Issuer Credit Rating",
    "rating": "B",
    "ratingDate": "06-Jul-2021",
    "currentCwOl": "Stable",
    "currentCwOlDate": "06-Jul-2021",
    "ratingDebtTypeCode": "ICR",
    "lastReviewDate": "11-Jun-2025",
    "coreOrgId": "689595",
    "endorsementIndicator": "EE|UKE",
    "coreRatingId": "937228060",
    "ratingTypeCode": "STDLONG",
    "ratingTypeCodeDesc": "Local Currency LT",
    "pcrFlag": true,
    "id": 1
  },
  {
    "orgDebtTypeDesc": "Issuer Credit Rating",
    "rating": "B",
    "ratingDate": "06-Jul-2021",
    "currentCwOl": "Stable",
    "currentCwOlDate": "06-Jul-2021",
    "ratingDebtTypeCode": "ICR",
    "lastReviewDate": "11-Jun-2025",
    "coreOrgId": "689595",
    "endorsementIndicator": "EE|UKE",
    "coreRatingId": "937228062",
    "ratingTypeCode": "FCLONG",
    "ratingTypeCodeDesc": "Foreign Currency LT",
    "pcrFlag": true,
    "id": 2
  }
]

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

Parameter	Type	Required	Description
query	string	Required	Natural 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

Parameter	Type	Required	Description
query	string	Required	Search 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."
  }
]

Credit Ratings Search

Credit API

Query Parameters

Examples:

Response Fields

Search Organizations

Path Parameters

Examples:

Response Fields

Credit Ratings

Economic Data API

Query Parameters

Examples:

Response Fields

Find Economic Series

Query Parameters

Examples:

Response Fields

Search Economic Series