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NEW: Prediction Markets API

One REST API for all prediction markets data

S3 API

An S3 API is an interface that lets applications store, retrieve, and manage files in cloud-based object storage. It’s commonly used to handle large datasets, backups, and bulk data delivery.
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The S3 API was originally created by Amazon Web Services, and it quickly became the industry standard for object storage. Instead of storing files on a traditional server, the S3 API lets developers upload data to cloud “buckets” where information is stored securely, replicated for reliability, and accessible from anywhere. It’s simple, scalable, and designed to handle massive amounts of data.

S3-style storage is built around objects rather than files or databases. Each object contains the data, metadata, and a unique key that identifies it. Applications interact with these objects using simple HTTP requests—uploading, downloading, listing, deleting, or managing permissions. Because it’s highly scalable and cost-efficient, the S3 API powers everything from enterprise data lakes to mobile apps and analytics pipelines.

In financial markets and data-heavy environments, the S3 API is especially valuable. It allows developers to store tick-level data, large historical datasets, financial reports, bulk price files, and logs without worrying about server capacity. Its reliability and performance make it ideal for workflows that depend on high-volume data access.

The S3 API matters because it provides cheap, scalable, secure storage for large datasets. It simplifies data management, supports automation, and allows developers to build systems without maintaining their own hardware.

Most S3 APIs use access keys—similar to API keys—that identify and authorize the user. These keys control what actions an application can perform, such as uploading, downloading, or modifying objects. Permissions can be fine-tuned to ensure users only access the data they’re allowed to, improving security and operational control.

Object storage scales effortlessly. Whether storing a few megabytes or petabytes of data, performance remains consistent. Files are distributed across many servers, ensuring durability and fast access. This makes it perfect for analytics, backups, financial data archives, and any system that needs reliable access to large, growing datasets.

S3 systems automatically replicate data across multiple servers or data centers. If one server fails, the data still exists elsewhere. This built-in redundancy provides extremely high durability, often quoted as “eleven nines,” meaning catastrophic data loss is extremely unlikely.

A fintech company processes millions of price updates each day. Instead of storing them on local servers, it uploads all raw and processed files to an S3 bucket. Developers access these files for analytics, client reporting, or compliance checks—all through simple S3 API calls.

FinFeedAPI’s Flat Files S3 API is the best match because it provides direct S3-style access to massive financial datasets. Developers can integrate the S3 API to download large files efficiently, automate ingestion pipelines, or power analytics tools that depend on high-volume market data.

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