Start Focused
Integrate the financial data required for your first product or MVP.
FinFeedAPI gives startups access to financial data for stocks, currencies, SEC filings, prediction markets, and historical research through one platform.
Build your first feature with one API. Add new datasets and delivery methods as your product evolves — without building a separate data stack for every new use case.
A startup might begin with stock prices and later add SEC filings. A financial AI product might start with company filings, then incorporate market history, currencies, or prediction market data. A research platform may need an API for individual queries today and bulk historical files tomorrow. FinFeedAPI gives teams room to expand without starting their data infrastructure from scratch every time the product changes.
Integrate the financial data required for your first product or MVP.
Expand into stocks, currencies, SEC filings, prediction markets, and historical datasets.
Use REST, WebSocket, JSON-RPC, MCP, or Flat Files where supported.
Move from testing to production as your application and customer base grow.
Building a financial product often means working with data that comes from very different sources. Market prices, corporate filings, currencies, prediction markets, and historical datasets each have different structures and access patterns. FinFeedAPI brings these datasets into one financial data platform, giving startup teams fewer separate integrations to build and maintain.
Build market research, charting, analytics, investment, and financial applications with historical stock market data across 40+ global exchanges.
Access SEC filings and structured filing content without building your own filing ingestion and document parsing infrastructure.
Integrate real-time traditional FX and cryptocurrency currency data into financial applications.
Add prediction market prices, historical data, order books, and market information from supported prediction market platforms.
Use S3-compatible Flat Files for larger historical datasets used in research, analytics, backtesting, and data pipelines.
Early-stage products change quickly. You test an idea. Customers ask for another feature. Your data requirements expand. A workload that started with a few API requests becomes a production application. FinFeedAPI is designed to support that progression. You can start with the requirements you have today instead of designing your entire future data architecture upfront.
| Stage | What You May Need |
|---|---|
| Prototype | Test endpoints and validate your idea |
| MVP | Integrate the datasets required for your core feature |
| Launch | Connect production applications to financial data |
| Growth | Add datasets, increase usage, and expand functionality |
| Scale | Introduce larger workloads, bulk data, or customized infrastructure |
FinFeedAPI can support different types of financial applications without requiring a separate data provider for every feature.
Connect AI applications to stocks, filings, currencies, prediction markets, and historical financial data. MCP support also enables tool-based access for compatible AI applications.
Build investment research, market monitoring, portfolio, financial analytics, and other data-driven fintech products.
Combine market history with filings and other financial datasets for quantitative, fundamental, and event-driven research.
Build dashboards, research tools, market monitors, analytics platforms, and applications using normalized prediction market data.
Use APIs for targeted retrieval and Flat Files for larger historical workloads, analytics pipelines, and data warehouses.
Every additional data source introduces more integration work. Different authentication methods, schemas, identifiers, documentation, infrastructure, and delivery mechanisms all take engineering time away from the product itself.
FinFeedAPI provides documented APIs, SDKs, examples, tutorials, and standardized access to multiple financial data products.
Your team can focus on turning financial data into features rather than building every underlying data pipeline independently.
A startup shouldn't have to use the same data delivery method for every feature. FinFeedAPI provides several ways to access financial data depending on the product and dataset. Start with the interface that fits your current architecture and expand when your requirements change.
| Interface | Useful For |
|---|---|
| REST API | Applications, dashboards, analytics, and targeted queries |
| WebSocket | Real-time streaming where supported |
| JSON-RPC | Structured programmatic integrations where supported |
| MCP | AI agents and LLM-powered financial applications |
| Flat Files / S3 | Bulk historical analysis, backtesting, and data pipelines |
Early-stage teams need room to experiment before they know exactly how customers will use their product. FinFeedAPI lets you begin with usage-based access instead of committing to enterprise infrastructure from day one.
Create an account, add a verified payment method, and activate $25 in credits to test FinFeedAPI products.
Start with the data you actually consume and monitor usage as your application develops.
Manage API keys, monitor consumption, configure usage alerts, and control spending through the Management Console.
As data requirements and usage increase, you can move into larger commitments or discuss a customized Enterprise configuration.
FinFeedAPI doesn't have to be the boundary of your financial data stack. Startups building across traditional and digital markets can also access CoinAPI for cryptocurrency market data. This makes it possible to build applications combining stocks, currencies, filings, prediction markets, and crypto market data while staying within the broader APIBricks ecosystem.
Explore CoinAPI when your product also needs cryptocurrency market data alongside FinFeedAPI datasets.
Getting started doesn't require a sales process or a complex infrastructure project.
Sign up and activate your free credits with a verified payment method.
Start with Stock Historical, Currencies, SEC Filings, Prediction Markets, or Flat Files.
Configure your API access through the Management Console.
Use the documentation, SDKs, examples, and tutorials to connect your application.
Expand into additional datasets, interfaces, and higher usage levels when your product requires them.
You don't need to predict every dataset, feature, or infrastructure requirement your startup will have in the future.
Start with the financial data your product needs today. Add more when the product gives you a reason to.