Economic Calendar API
The Economic Data API provides access to datasets and economic calendar events. This data is essential for macroeconomic analysis, forecasting, and understanding market-moving economic indicators across global markets.
/profiles/:ticker/calendarProvides upcoming earnings dates, earnings call dates, and dividend calendar information. Includes consensus estimates for EPS and revenue when available.
Path Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| ticker | string | Required | Stock ticker symbol |
Examples:
https://api.axionquant.com/profiles/AAPL/calendarhttps://api.axionquant.com/profiles/MSFT/calendarKey Response Fields
earnings.earningsDate
Array of expected earnings release dates
earnings.earningsCallDate
Array of expected conference call dates
earnings.earningsAverage, earningsLow, earningsHigh
Analyst EPS estimate range and average
earnings.revenueAverage, revenueLow, revenueHigh
Analyst revenue estimate range and average
exDividendDate, dividendDate
Ex-dividend and payment dates
Calendar Events (Apple)
Request
1from axion import Axion
2client = Axion(api_key='axn_123')
3
4calendar = client.profiles.calendar('AAPL')
5print(calendar)Response
{
"earnings": {
"earningsDate": ["2026-01-29T21:00:00.000Z"],
"earningsCallDate": ["2025-10-30T21:00:00.000Z"],
"isEarningsDateEstimate": true,
"earningsAverage": 2.6647,
"earningsLow": 2.51,
"earningsHigh": 2.76,
"revenueAverage": 138253076640,
"revenueLow": 136679500000,
"revenueHigh": 142741000000
},
"exDividendDate": "2025-11-10T00:00:00.000Z",
"dividendDate": "2025-11-13T00:00:00.000Z"
}/econ/calendarRetrieves a filtered list of economic calendar events including economic releases, central bank meetings, holidays, and important announcements. Supports comprehensive filtering by date range, country, importance, currency, and category.
Query Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| from | string | Optional | Start date filter (YYYY-MM-DD or ISO 8601) |
| to | string | Optional | End date filter (YYYY-MM-DD or ISO 8601) |
| country | string | Optional | Country code(s) (single or comma-separated, e.g., "US" or "US,GB,JP") |
| minImportance | number | Optional | Minimum importance level (-1 to 3, where 3 is most important) |
| currency | string | Optional | Currency code(s) (single or comma-separated, e.g., "USD" or "USD,EUR,GBP") |
| category | string | Optional | Category code(s) (single or comma-separated, e.g., "gov" or "gov,fin,mfg") |
| limit | number | Optional | Controls the number of results returned, default is 10 |
Examples:
https://api.axionquant.com/econ/calendarhttps://api.axionquant.com/econ/calendar?from=2024-01-01&to=2024-12-31Enum Values
country- accepted valuescurrency- accepted valuescategory- accepted valuesResponse Fields
id string
Unique event identifier
title string
Event title/description
country string
2-letter country code
indicator string
Economic indicator name
ticker string|null
Related financial ticker
comment string|null
Additional commentary
category string
Event category (e.g., "gov", "fin")
period string
Period covered (e.g., "Q1", "2025")
referenceDate string|null
Reference date for data
source string
Data source
sourceUrl string
Source URL
actual string|null
Actual released value (formatted)
previous string|null
Previous period value (formatted)
forecast string|null
Forecast/consensus value (formatted)
actualRaw number|null
Actual value (numeric)
previousRaw number|null
Previous value (numeric)
forecastRaw number|null
Forecast value (numeric)
currency string
Currency code
importance number
Importance level (-1 to 3)
date string
Event date and time (ISO 8601)
Economic Calendar
Request
1from axion import Axion
2client = Axion(api_key='axn_123')
3
4calendar = client.econ.calendar(
5 from_date='2025-01-01',
6 to_date='2025-01-02',
7 country='US,AU',
8 min_importance=0,
9 currency='USD',
10 category='employment',
11 limit=10
12)
13print(calendar)Response
[
{
"id": "398637",
"title": "S&P Global Manufacturing PMI Final",
"country": "america",
"code": "US",
"indicator": "Manufacturing PMI",
"ticker": null,
"comment": "The S&P Global US Manufacturing PMI is compiled by S&P Global from responses to questionnaires sent to purchasing managers in a panel of around 800 manufacturers. The headline figure is the Purchasing Managers' Index (PMI), which is a weighted average of the following five indices: New Orders (30%), Output (25%), Employment (20%), Suppliers' Delivery Times (15%) and Stocks of Purchases (10%). For the PMI calculation the Suppliers' Delivery Times Index is inverted so that it moves in a comparable direction to the other indices. The index varies between 0 and 100, with a reading above 50 indicating an overall increase compared to the previous month, and below 50 an overall decrease. This is only a limited sample of PMI headline data displayed on the Customer's service, under licence from S&P Global. Full historic PMI headline data and all other PMI sub-index data and histories are available on subscription from S&P Global. Contact economics@spglobal.com for more details.",
"category": null,
"period": "Dec",
"referenceDate": "2025-12-31T00:00:00.000Z",
"source": "S&P Global",
"sourceUrl": "https://www.pmi.spglobal.com/public",
"actual": null,
"previous": null,
"forecast": "51.8",
"actualRaw": null,
"previousRaw": null,
"forecastRaw": "51.8",
"currency": "USD",
"importance": -1,
"date": "2026-01-02T14:45:00.000Z"
},
{
"id": "397745",
"title": "Fed Balance Sheet",
"country": "america",
"code": "US",
"indicator": "Central Bank Balance Sheet",
"ticker": "ECONOMICS:USCBBS",
"comment": "The Central Bank Balance Sheet represents the total assets held by a central bank. It reflects the scale of monetary policy actions, including holdings like government securities, foreign reserves, and loans to banks. Changes in the balance sheet indicate shifts in policy, such as easing or tightening financial conditions.",
"category": "mny",
"period": "Dec/31",
"referenceDate": "2025-12-31T00:00:00.000Z",
"source": "Federal Reserve",
"sourceUrl": "http://www.federalreserve.gov",
"actual": "6.64",
"previous": "6.56",
"forecast": null,
"actualRaw": "6640000000000",
"previousRaw": "6560000000000",
"forecastRaw": null,
"currency": "USD",
"importance": -1,
"date": "2026-01-02T21:30:00.000Z"
},
{
"id": "417834",
"title": "Fed Paulson Speech",
"country": "america",
"code": "US",
"indicator": "Interest Rate",
"ticker": "ECONOMICS:USINTR",
"comment": "In the United States, the authority to set interest rates is divided between the Board of Governors of the Federal Reserve (Board) and the Federal Open Market Committee (FOMC). The Board decides on changes in discount rates after recommendations submitted by one or more of the regional Federal Reserve Banks. The FOMC decides on open market operations, including the desired levels of central bank money or the desired federal funds market rate.",
"category": "mny",
"period": "",
"referenceDate": null,
"source": "Federal Reserve",
"sourceUrl": "http://www.federalreserve.gov/",
"actual": null,
"previous": null,
"forecast": null,
"actualRaw": null,
"previousRaw": null,
"forecastRaw": null,
"currency": "USD",
"importance": 0,
"date": "2026-01-03T15:15:00.000Z"
},
{
"id": "417835",
"title": "Fed Paulson Speech",
"country": "america",
"code": "US",
"indicator": "Interest Rate",
"ticker": "ECONOMICS:USINTR",
"comment": "In the United States, the authority to set interest rates is divided between the Board of Governors of the Federal Reserve (Board) and the Federal Open Market Committee (FOMC). The Board decides on changes in discount rates after recommendations submitted by one or more of the regional Federal Reserve Banks. The FOMC decides on open market operations, including the desired levels of central bank money or the desired federal funds market rate.",
"category": "mny",
"period": "",
"referenceDate": null,
"source": "Federal Reserve",
"sourceUrl": "http://www.federalreserve.gov/",
"actual": null,
"previous": null,
"forecast": null,
"actualRaw": null,
"previousRaw": null,
"forecastRaw": null,
"currency": "USD",
"importance": 0,
"date": "2026-01-03T19:30:00.000Z"
},
{
"id": "417836",
"title": "Fed Kashkari Speech",
"country": "america",
"code": "US",
"indicator": "Interest Rate",
"ticker": "ECONOMICS:USINTR",
"comment": "In the United States, the authority to set interest rates is divided between the Board of Governors of the Federal Reserve (Board) and the Federal Open Market Committee (FOMC). The Board decides on changes in discount rates after recommendations submitted by one or more of the regional Federal Reserve Banks. The FOMC decides on open market operations, including the desired levels of central bank money or the desired federal funds market rate.",
"category": "mny",
"period": "",
"referenceDate": null,
"source": "Federal Reserve",
"sourceUrl": "http://www.federalreserve.gov/",
"actual": null,
"previous": null,
"forecast": null,
"actualRaw": null,
"previousRaw": null,
"forecastRaw": null,
"currency": "USD",
"importance": 0,
"date": "2026-01-04T17:30:00.000Z"
},
{
"id": "394699",
"title": "ISM Manufacturing New Orders",
"country": "america",
"code": "US",
"indicator": "ISM Manufacturing New Orders",
"ticker": "ECONOMICS:USMNO",
"comment": "The Manufacturing ISM Report On Business is based on data compiled from purchasing and supply executives nationwide. Survey responses reflect the change, if any, in the current month compared to the previous month. For each of the indicators measured (New Orders, Backlog of Orders, New Export Orders, Imports, Production, Supplier Deliveries, Inventories, Customers' Inventories, Employment and Prices), the report shows the percentage reporting each response, the net difference between the number of responses in the positive economic direction and the negative economic direction, and the diffusion index. A PMI reading above 50 percent indicates that the manufacturing economy is generally expanding; below 50 percent indicates that it is generally declining.",
"category": "bsnss",
"period": "Dec",
"referenceDate": "2025-12-31T00:00:00.000Z",
"source": "Institute for Supply Management",
"sourceUrl": "https://www.ismworld.org",
"actual": "47.7",
"previous": "47.4",
"forecast": null,
"actualRaw": "47.7",
"previousRaw": "47.4",
"forecastRaw": null,
"currency": "USD",
"importance": -1,
"date": "2026-01-05T15:00:00.000Z"
}
]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.
/credit/searchSearches 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=AAPLhttps://api.axionquant.com/credit/search?query=MSFT&limit=20Response 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
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
}
]