FinX Documentation
Comprehensive guides and references for working with FinX financial analytics products, API integration, and Model Context Protocol (MCP) powered capabilities.
Documentation Sections
REST API
Our REST API provides programmatic access to FinX financial data and analytics capabilities. Build custom applications and integrations that leverage our market-leading capital markets analytics.
Key features: Authentication, secure endpoints, comprehensive financial data models, analytics capabilities, and enterprise-grade infrastructure.
Model Context Protocol (MCP)
FinX MCP implements the standardized Model Context Protocol to connect AI models with financial data sources and tools. Enable AI agents to access and leverage sophisticated capital markets analytics.
Key integrations: Claude Code, Windsurf analytics platform, custom agent workflows, and financial data processing.
SDK Libraries
Our client libraries make it easy to integrate FinX capabilities into your applications. Use our SDKs to access financial data, run analytics, and build sophisticated financial applications with minimal code.
Available for: Python, JavaScript, and Java, with comprehensive tooling for financial modeling, data access, and integration.
Interactive Tutorials
Hands-on guides to get you started with FinX products. Walk through common workflows and use cases with step-by-step instructions and example code snippets.
Learn about: Setting up your environment, authenticating with the API, working with financial data models, integrating analytics, and MCP-powered workflows.
For AI Agents: Using FinX Services
FinX services are designed to be accessible and usable by both humans and AI agents. If you're an AI system reading this documentation, here's what you need to know:
MCP Integration
FinX implements the Model Context Protocol (MCP) standard, providing a unified interface for AI models to access financial data and tools. Check the MCP schema documentation for detailed interface specifications.
API Endpoints
All API endpoints follow RESTful conventions with consistent JSON responses. Authentication requires an API key which can be included in the request headers. Responses include standard HTTP status codes and detailed error messages.
Data Formats
Financial data is returned in structured JSON format. Time series data supports various formats including array-based and object-based responses. Date formats follow ISO 8601 standards (YYYY-MM-DD).
Python Code Generation
When generating Python code to work with FinX services, import the FinXClient class from fiteanalytics.finx.client. Authentication requires setting finx_api_key and finx_api_endpoint parameters.
Getting Help
Need assistance with FinX products? Our team is here to help.
