REST

Access Financial Data Through REST APIs

Access stock market data, FX and crypto exchange rates, SEC filings, and prediction market data through standard HTTP request-response APIs.

FinFeedAPI REST APIs give developers direct programmatic access to live and historical financial datasets through dedicated product endpoints. Query data on demand, retrieve current snapshots, run historical research, search regulatory filings, and integrate structured financial data into applications using standard HTTPS requests.

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What Is a Financial Data REST API?

A financial data REST API is an HTTP-based interface that allows applications to request financial information on demand.

Independent HTTPS requests

The client sends an HTTPS request to a specific resource and receives structured data in response. Each request is independent, making REST well suited for historical queries, current snapshots, metadata discovery, research, reporting, and scheduled data retrieval.

Unlike WebSocket, REST does not maintain a continuous data stream. Applications decide what data they need and when they need to retrieve it.

Because REST is based on standard HTTP, it can be integrated into virtually any backend architecture, programming language, analytics environment, or data pipeline.

REST access spans several financial data categories

  • historical equities
  • FX and crypto exchange rates
  • SEC filings
  • prediction markets

Why Use FinFeedAPI REST APIs?

Financial datasets come from very different underlying sources, with different identifiers, structures, and access patterns. FinFeedAPI provides dedicated REST APIs that make these datasets accessible through familiar HTTP-based workflows. REST gives applications direct control over what data is requested without requiring a persistent connection.

What REST gives you

  • Direct request-response access for applications and backend systems
  • Structured data designed for programmatic processing
  • Live and historical queries depending on the product
  • Metadata discovery for exchanges, symbols, assets, and markets
  • Targeted retrieval by resource, identifier, or time range
  • Multiple financial datasets available across FinFeedAPI products
  • Standard HTTP integration with existing development infrastructure
  • Alternative interfaces including WebSocket, JSON-RPC, MCP, and Flat Files for different workloads

Financial Data Available Through REST

FinFeedAPI provides REST interfaces tailored to different financial datasets and workflows. Flat Files are designed differently. Bulk historical datasets are distributed through an S3-compatible interface rather than the standard FinFeedAPI REST product interface.

ProductREST Access
Stock Data APIHistorical equities, exchanges, symbols, OHLCV, and native IEX datasets
Currencies APICurrent and historical FX and crypto exchange rates
SEC APIFiling discovery, full-text search, extraction, downloads, and XBRL conversion
Prediction Markets APIExchanges, markets, activity, OHLCV, and order books

Historical Stock Data Through REST

Use the Stock Data REST API to query historical equity data across 40+ integrated exchanges. Applications can discover exchanges and symbols, retrieve OHLCV time series across 30+ supported periods, and access native IEX datasets for more detailed market analysis. The Stock API is focused on historical and T+1 data workflows, including research, backtesting, market analysis, and scheduled data pipelines.

REST access includes

  • exchange and symbol metadata
  • latest and historical OHLCV
  • trades
  • Level 1 quotes
  • Level 2 market data
  • native IEX system and market events
Explore Stock API

Real-Time and Historical Exchange Rates

Use the Currencies REST API to request current and historical FX and crypto exchange rates. Applications can retrieve a specific currency pair, price one asset against multiple currencies, discover supported assets, or request historical OHLC-style exchange-rate series across predefined periods. For continuous currency updates rather than individual requests, use the Currencies WebSocket API.

REST access includes

  • current exchange rates
  • historical exchange rates
  • FX and crypto assets
  • asset metadata
  • OHLC exchange-rate time series
  • supported historical periods
Explore Currencies API

Search, Extract, and Process SEC Filings

Use the SEC REST API to build filing research and document-processing workflows without creating a custom EDGAR parsing pipeline. Applications can discover filings using structured metadata, search filing contents, retrieve individual filing sections, convert XBRL into JSON, and access original EDGAR documents. This makes REST suitable for regulatory research, financial analysis, document processing, compliance systems, and applications that need specific SEC information on demand. For continuous SEC monitoring, FinFeedAPI provides a separate WebSocket interface.

REST access includes

  • filing metadata and discovery
  • full-text filing search
  • complete filing extraction
  • individual filing item extraction
  • XBRL-to-JSON conversion
  • original filing downloads
Explore SEC API

Prediction Market Data Through REST

Use the Prediction Markets REST API to discover markets and retrieve current or historical market information across supported prediction market exchanges. Applications can move from exchange and market discovery to price history, recent activity, and liquidity data through request-response queries. This supports market research, event analysis, liquidity monitoring, historical analysis, dashboards, and prediction market applications.

REST access includes

  • exchange metadata
  • active market discovery
  • market metadata and history
  • current and recent trades and quotes
  • OHLCV time series
  • current order book snapshots
  • historical order book data
Explore Prediction Markets REST API

How FinFeedAPI REST APIs Work

REST follows a straightforward request-response model. Because each request is independent, applications can retrieve exactly what they need without maintaining a persistent connection.

Request-response workflow

  1. 1Choose the dataset — Stocks, Currencies, SEC Filings, or Prediction Markets.
  2. 2Select the REST service that provides the required data.
  3. 3Authenticate the request using the method required by that product.
  4. 4Define the query using identifiers, filters, time ranges, or other parameters.
  5. 5Send the HTTPS request from your application.
  6. 6Process the response inside your application, database, research environment, or analytics pipeline.

When Should You Use REST?

REST is a strong choice when an application knows what information it needs and wants to retrieve it on demand.

Historical Data Retrieval

Query specific periods of stock, currency, or prediction market history for analysis and research.

Current Market Snapshots

Retrieve current exchange rates, prediction market activity, or order book state when an updated view is needed.

Metadata and Discovery

Discover exchanges, symbols, assets, markets, and supported periods before requesting deeper datasets.

Financial Dashboards

Load current snapshots and historical series for charts, tables, internal tools, and analytics interfaces.

SEC Research

Search filings, retrieve specific sections, convert XBRL, and process regulatory documents programmatically.

Quantitative Research

Retrieve targeted historical datasets for analysis, model development, and backtesting.

Scheduled Data Pipelines

Run recurring requests to synchronize selected financial data with internal databases and analytical systems.

Backend Applications

Request financial data directly from application servers without maintaining persistent streaming connections.

Best Practices for Using Financial Data REST APIs

REST works most efficiently when requests match the actual data requirements of the application. Choosing the appropriate interface helps keep data retrieval aligned with the workload.

Keep requests aligned with the workload

  • Discover identifiers first. Use metadata resources to confirm valid exchanges, symbols, assets, markets, and periods.
  • Keep historical queries targeted. Request the resources and time ranges your workflow actually needs.
  • Cache slow-changing metadata. Exchange, asset, symbol, and similar metadata usually does not need to be retrieved with every query.
  • Choose the right dataset. Use OHLCV for time-series analysis, order books for liquidity analysis, filing extraction for document research, and exchange rates for conversion and valuation.
  • Use WebSocket for continuous updates. REST is designed for individual requests rather than persistent streaming.
  • Use Flat Files for bulk workloads. Large-scale historical processing may be better suited to S3-compatible Flat Files than many individual API requests.
  • Use MCP for agent-driven workflows. MCP allows AI systems and compatible developer tools to discover and call supported FinFeedAPI operations.

REST vs WebSocket vs JSON-RPC vs MCP vs Flat Files

Select the interface that matches how your application consumes data. REST is designed for targeted request-response access. Other FinFeedAPI interfaces support continuous streaming, RPC-style integrations, AI tool calling, or bulk historical delivery. These interfaces can also work together. An application might use REST for metadata and targeted queries, WebSocket for continuous updates, and Flat Files for larger historical workloads.

InterfaceBest ForTypical Use Cases
REST APIRequest-response accessHistorical queries, snapshots, metadata, dashboards, research
WebSocketContinuous live streaming where supportedLive currency feeds, real-time SEC monitoring
JSON-RPCRPC-style request-response accessApplications using RPC-based integrations
MCPAI and tool-driven workflowsAgents, copilots, automated research, data discovery
Flat Files / S3Bulk historical datasetsBacktesting, large-scale research, data warehouses, batch processing
REST

Build with FinFeedAPI REST APIs

Connect applications, research systems, dashboards, and backend infrastructure directly to financial data through standard HTTP requests.

Access stocks, currencies, SEC filings, and prediction markets through dedicated FinFeedAPI REST APIs.

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