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Listing Datasets

The datasets function retrieves a JSON-formatted list of all datasets available in CloudQuant Data Liberator, with optional filtering and metadata.

Parameters

ParameterDescriptionTypeDefault
entitledOnly retrieve datasets you have access toBooleanfalse
schemaInclude dataset descriptions and metadataBooleanfalse
detailsInclude column-level information (names, descriptions). Requires schema to also be set.Booleanfalse
userYour CloudQuant-assigned user identifierString
tokenYour assigned authentication tokenString

List All Datasets

import liberator

liberator.url = 'https://api.cloudquant.ai'

res = liberator.datasets()
print(res)

Example Output

{
  "Intraday": ["SSR_Forward_DSI", "Halt_Production_DSI", "SSR_Production_DSI", "News", "Twitter", "Stocktwits"],
  "Monthly": ["Joblink Ticker Mapping", "VerticalKnowledge Indeed"],
  "Market Data": ["daily_bars", "minute_bars", "nbbo", "trades", "daily_bars_adjusted"]
}

List Entitled Datasets Only

Filter results to show only datasets matching your access permissions.
liberator.datasets(entitled=True)

Include Schema and Column Details

# Schema only
liberator.datasets(schema=True)

# Schema with column details
liberator.datasets(schema=True, details=True)