---
source_url: "https://www.3spread.com/?utm_source=openai"
title: "3spread | Fundamental data built for traders"
mirrored_at: 2026-08-08T01:38:14.768Z
host: www.3spread.com
cited_in_42a: true
mirror_canonical: "https://index.42a.ai/www.3spread.com/index__q__utm_source_openai"
---

> **Original source:** https://www.3spread.com/?utm_source=openai

## Any workflow. One API.

From deep historical backfill to live signals, one consistent API runs the whole research-to-production stack.

Point-in-time history, restatement-aware

### 500K+ filers, 30+ filing types, back to 2012

Train on what was actually known at each point in time. Amendments and restatements are tracked, so as-reported figures stay separate from later revisions and your models never learn from data that didn't exist yet, across every filer, back to 2012.

500K+

Filers tracked

From companies to the people behind them

30+

Filing types

Across companies, funds, and people

2012

History back to

Retroactively standardized

## From Filing to Insight in Three Steps

1

### An Entity Files with the SEC

Annual reports, quarterly earnings, insider transactions, institutional holdings, and more. Over 30 filing types across 500K+ tracked filers: companies, funds, advisors, and the people behind them.

2

### 3spread Processes and Standardizes

We parse each filing, extract the data and text, and map everything to a consistent schema, so the same data point gets the same label regardless of which entity reported it.

3

### You Get Clean, Comparable Data

Structured JSON delivered through a standard REST API. Ready for your models, dashboards, compliance tools, or research. No cleaning or transformation required.

## Designed to Perform

### Cross-Filer Comparisons, No Cleanup Required

Different filers use different labels and formatting for the same data. 3spread transforms them to consistent specialized schemas so you can run comparisons and benchmarks without manual cleanup.

### Built for Time Series, NLP, and Statistical Modeling

Panel data ready for longitudinal analysis: consistent periodization across filers, restatement-aware. Textual sections pre-segmented for NLP pipelines: MD&A, risk factors, CD&A, and others surfaced as discrete fields. Numeric schemas normalized for cross-sectional regressions and factor research without per-filer cleanup.

### 500K+ Filers Back to 2012

500,000+ filers, from companies, funds, and advisors to the insiders and individuals behind them, across 30+ filing types: 10-Ks, 10-Qs, 8-Ks, proxy statements, insider filings, and more. Retroactive standardization means the same schema applies whether you're looking at last quarter or ten years ago.

### A Clean API That Gets Out of Your Way

RESTful endpoints, JSON responses, straightforward authentication. Comprehensive documentation with request examples so you can start pulling data in minutes.

## Get Started

Choose the path that fits your needs.