Building truly autonomous financial AI agents is hard
The promise of AI-driven automation in finance has been throttled by a fundamental bottleneck: agents cannot easily discover, understand, and interact with the diverse world of financial data on their own. This integration complexity has kept intelligent automation stuck in first gear.
Developer challenges
AI agents cannot automatically discover valid API parameters, forcing developers to manually hard-code every possible input
Agents cannot interpret the unique structures of different financial documents
An agent cannot adapt to new information
Agents are confined to static, pre-programmed workflows
An agent cannot independently correlate events across disconnected data silos
AI agents cannot distinguish between the different parameter schemas required by various endpoints, forcing developers to write unique, complex logic for every type of API call
What You Can Achieve with FinFeedAPI
Build Agents That Intelligently Explore Financial Data
- Your AI agent can programmatically identify available parameters for API calls, such as discovering valid SEC form_type filters like 10-K or 8-K.
- It can understand and validate the necessary inputs for different data requests, like providing the correct period_id for historical stock data or the accession_number for SEC filing extractions.
Automate In-Depth SEC Filing Analysis
- You can deploy agents that query the /v1/filings endpoint using a stock ticker or CIK to retrieve a complete history of a company's regulatory filings.
- Your agent can then use the /v1/extractor/item endpoint to automatically pull and structure content from specific sections, like "Item 1A" for Risk Factors or "Item 7" for Management's Discussion, eliminating manual document parsing.
Create Stock Analysis Bots
- Your bot can analyze long-term performance by retrieving historical OHLCV data for any U.S. stock using its exchange_id and symbol_id.
- It can simultaneously monitor and react to live market activity by processing real-time trade data from the '/v1/native/iex/trade/{symbol}' endpoint.
- For deep strategic insights, your agent can analyze market liquidity and depth by pulling Level 3 order book data.
Develop Real-Time and Historical FX Models
- You can build applications that require immediate currency conversion rates for any asset pair, such as BTC to USD, by calling the /v1/exchangerate/{asset_id_base}/{asset_id_quote} endpoint.
- Your agent can model currency volatility and back-test trading strategies by pulling historical exchange rate timeseries data for specific periods and date ranges.
Design Agents That Connect the Dots Across Markets
- You can create workflows where an agent detects a new 8-K filing for a company and automatically triggers a request for that company's latest stock quote and trading volume to assess market impact.
- Build agents that identify macroeconomic trends by correlating shifts in the FX markets with performance changes in the stock market, linking data from both the FX and Stock APIs.
Deploy Scalable and Future-Proof Financial Automation
- Because the API protocol is machine-readable, your agents can automatically adapt to new features, data points, or supported SEC forms as they are added by FinFeedAPI, without requiring developers to rewrite the integration logic.
- You can scale a single AI agent to monitor hundreds of stocks, filings, and currency pairs, creating a comprehensive and autonomous financial analysis tool that grows with your needs.
Built by the Team behind CoinAPI
We've served billions of crypto API requests. Now we're bringing that same reliability and simplicity to stock market and currency exchange data. One clean API. All the data you need. Nothing you don't.
Great tool for any market sector
How we can help you
Use case: Trading platforms
Trading platforms need comprehensive reference data beyond price feeds, but developers struggle with fragmented sources and complex APIs, forcing them to either integrate costly enterprise solutions or build custom infrastructure from scratch.
