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NEW: Prediction Markets API

One REST API for all prediction markets data
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Historical Market Data Through S3 Flat Files

Get structured daily OHLCV data stored in gzip-compressed CSVs. Organized by exchange and timestamp, the files make it easy to run long-term studies, build models, or power analytics tools.
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20+
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Years of market history
50
TB
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Historical market data
7
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Official SDKs
5+
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Core data types

Access Decades of Market Data

FinFeedAPI Flat Files S3 API is your direct, high-speed gateway to a petabyte-scale archive of historical market data. We've eliminated the complexity of bulk data acquisition by using a language your team already knows: the Amazon S3 API. Plug directly into our data repository with your existing tools and scripts, skip the learning curve, and empower your team to focus on what matters: quantitative analysis, ML modeling, and comprehensive backtesting.
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What data will you get:

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Daily OHLCV Prices
Open, high, low, close, and volume for every symbol across supported exchanges.
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Trade Activity Metrics
Daily trade counts and total traded volume for each market.
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Exchange-Organized Data
Files grouped by exchange and date, making it easy to target specific markets.
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Time-Aligned Timestamps
All timestamps synchronized to UTC for clean multi-exchange comparison.
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Clean, Normalized CSV Files
Semicolon-delimited CSVs compressed with gzip, ready for direct analysis.
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Historical Coverage
Daily snapshots for any date in the archive, fully consistent across all exchanges.

MCP support for simple integration

FinFeedAPI supports the Model Context Protocol (MCP), an open standard that makes our financial data easy for AI systems to understand and use.

This gives LLMs, agents, and automated tools direct access to stock, FX, prediction market, and SEC data without manual integration work.

Other benefits include:

  • AI-ready data: AI models can use FinFeedAPI data right away — no extra tools or special setup
  • One place to access everything: All FinFeedAPI products use the same MCP protocol.
  • Fewer mistakes: Clear data schemas help catch errors early, making your AI tools more stable
  • Automatic Updates: New data and endpoints show up instantly in your AI tools. No code changes needed.

With the Flat Files S3 API developers can:

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Access historical market data without complex queries
Grab daily OHLCV files directly from S3, organized by exchange and date.
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Work with clean, consistent data across all markets
Use normalized CSV files with synchronized UTC timestamps for easy comparison.
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Process large datasets efficiently
Download gzip-compressed files and load them into any analysis or modeling workflow.
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Retrieve only the data they need
Use simple S3 prefixes to filter by exchange, symbol group, or date.
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Speed up large downloads
Run parallel file downloads to accelerate data ingestion for research or backtesting.
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Optimize performance with local caching
Cache frequently accessed files to reduce repeated API calls and speed up analysis.

Use cases

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Use case: Academic research

Empirical research in finance, economics, and data science depends on access to vast, high-quality historical market data. Researchers face the challenge of sourcing comprehensive, granular, and unbiased datasets that are large enough to test hypotheses, train complex models, and produce statistically significant results.

Learn how we solved that
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