AI TOOL PROFILE
Financial Data Review: Stock Market Data API
- Finance and Accounting
- Financial Data API
- Fintech companies
- Trading firms
- Financial services providers
- Developers building financial applications
Pricing
Pricing tiers include a Free plan (300 requests/day), Standard ($19/month), Premium ($49/month), Professional ($99/month), and Enterprise ($199/month).
At a glance
- Best for
- Fintech companies, Trading firms, Financial services providers, Developers building financial applications
- Key use cases
- Supporting Investment Analysis, Monitoring Market Activity, Analyzing Trading Patterns, Building Financial AI Agents
- Integrations
- JSON export, CSV export
- Official website
- Visit Financial Data official website
How AI is used
Financial Data is a REST API service that provides access to real-time and historical market data. It covers assets including equities, indices, ETFs, derivatives, OTC securities, and cryptocurrencies across US and international exchanges.
The tool is designed for financial services companies, trading firms, and fintech developers who need to integrate market data into their own applications. It provides datasets ranging from stock quotes to company fundamentals and insider trading information.
Buyers should note that the service is API-driven and requires technical implementation. It is intended as a backend data source rather than a standalone front-end analysis tool.
Security and compliance features include SOC2 readiness and AES-256 encryption to support institutional data handling standards.
Key Features
Global Market Coverage
Provides data for over 252,000 tickers across 20+ exchanges, including US and international markets.
Company Fundamentals
Access to income statements, balance sheets, cash flow statements, and financial ratios.
Alternative Market Data
Tracks insider transactions, institutional holdings, and ESG risk scores and ratings.
Historical Data Archive
Offers 8 to 20 years of historical data depending on the specific API endpoint used.
MCP Server for AI
Includes a Model Context Protocol server that allows AI agents to call API endpoints as tools.
Data Format Options
Supports data delivery in JSON and CSV formats.
Use Cases
Supporting Investment Analysis
Retrieving historical financial statements and key metrics to evaluate company valuations.
Monitoring Market Activity
Tracking real-time stock quotes and index prices across global markets.
Analyzing Trading Patterns
Monitoring insider and institutional trading data to identify market trends.
Building Financial AI Agents
Using the MCP server to connect AI clients to a financial data engine.
Integrations
- JSON export
- CSV export
FAQ
How much historical data does Financial Data provide?
- The service provides between 8 and 20 years of data, depending on the specific API endpoint being accessed.
What data formats are supported by the API?
- The API provides data in both JSON and CSV formats.
Is there a free version available?
- Yes, there is a Free plan that allows for 300 requests per day.
Who can use the MCP server for AI agents?
- Access to the MCP server is available to users on the Professional and Enterprise subscription plans.
Source category: Finance & Accounting
Source subcategory: Financial Data API
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