LLM-ready API
Python Library
Overview

kFinance Python Library Installation

The kFinance Python library provides a simple interface for the Kensho LLM-Ready API, streamlining API requests and response handling. It can be used standalone, integrated with large language models, or embedded within custom applications.

Resources:

Installation

Install the kFinance Python Library:

pip install kensho-kfinance

Upgrade to the latest version available:

pip install --upgrade kensho-kfinance

Usage

For more detailed information on how to use the kFinance Python library, follow the LLM-ready API Usage Guide.

Authentication

For information on authentication methods, refer to the Authentication Guide.

Use Cases and Benefits

The kFinance Python library is designed for developers who need programmatic access to financial data. Key use cases include:

Direct Programmatic Control

  • Building custom financial applications or analysis tools
  • Integrating financial data into existing Python workflows
  • Requiring precise control over data retrieval and processing

Advanced Integration Requirements

  • Supporting multiple LLM frameworks (OpenAI, Anthropic, Google Gemini) in a single application
  • Implementing complex data transformations and business logic
  • Building production systems that require custom error handling and retry logic

Development Flexibility

  • Creating standalone Python applications without dependency on third-party LLM platforms
  • Implementing custom authentication flows and security requirements
  • Building data pipelines that combine financial data with other data sources

Enterprise Use Cases

  • Developing internal tools and dashboards for financial analysis
  • Creating automated reporting systems and data processing workflows
  • Building APIs and services that serve financial data to multiple consumers

For quick integration with existing LLM platforms without custom development, consider the Model Context Protocol (MCP) integration instead.