Fundamental data built for
SEC filings, standardized end-to-end.
3spread delivers leading intelligence and analytic capabilities for teams and individuals.
For quantitative and systematic teams
Backtest and train on the data as it was actually known
Every value is stamped to the moment it was public, so your models learn from what was known at each date and never from a restatement that came later. Run the same backtest tomorrow and it produces the same result.
- As-reported figures stay separate from restatements
- A growing library of standardized factors
- Consistent panels for cross-sectional and time-series work
- Reproducible results that do not drift between runs
For analysts and portfolio managers
Compare any filer and read any section without the cleanup
Financials are mapped to one comparable shape and filing text arrives split into labeled sections, so you can screen thousands of names or pull the risk factors for one of them in a single call.
- Financials that line up across every filer
- Filing text split into labeled sections for search and NLP
- Screen the entire universe in one query
- Every figure traces back to the source filing
For risk, compliance, and monitoring teams
See ownership and insider activity the moment it is filed
Insider transactions, beneficial ownership, and fund holdings are resolved to real entities and served within seconds of the SEC accepting a filing, so monitoring keeps pace with the market instead of waiting on an overnight batch.
- Insider transactions and beneficial ownership resolved to real entities
- People, companies, and funds linked across filings
- New filings available within seconds of acceptance
- The same data live and going back to 2012
// live filing stream
> 16:19:27 NPORT-P Goldman Sachs ETF Trust filed
> 16:19:28 4 SM Energy Co filed
> 16:19:29 4 SM Energy Co parsed, standardized
> 16:19:29 4 SM Energy Co available via API
> 16:19:31 144 ZIPRECRUITER, INC. filed
> 16:19:31 NPORT-P Goldman Sachs ETF Trust filed
> 16:19:32 NPORT-P Goldman Sachs ETF Trust parsed, standardized
> 16:19:32 NPORT-P Goldman Sachs ETF Trust available via API
> 16:19:32 144 ZIPRECRUITER, INC. parsed, standardized
> 16:19:32 144 ZIPRECRUITER, INC. available via API
> 16:19:33 NPORT-P Goldman Sachs ETF Trust parsed, standardized
> 16:19:33 NPORT-P Goldman Sachs ETF Trust available via APIFor engineers and product teams
One API takes every dataset from prototype to production
Every dataset comes through the same REST API with a first-party Python SDK and copy-paste examples, so you can ship on it in an afternoon and it holds up once you are in production.
- REST and JSON with common key authentication
- A first-party Python SDK
- Every dataset behind one consistent API
- Documentation with copy-paste examples for every endpoint
- Financials
- Insider transactions
- Institutional holdings
- Beneficial ownership
- Private offerings
- Proposed sales
- Fund portfolios
- Fund census
- Money market funds
- Proxy votes
- Reg A+ offerings
- Registration statements
Best-in-class standardized financial data
Click the interactive demo below to see how 3spread delivers unmatched data precision.
Streamlined access to the data that powers research
New submission to the SEC
Annual reports, quarterly earnings, insider transactions, institutional holdings, and more.
3spread Standardizes
Data and text is extracted and standardized into consistent schemas.
Data Delivery
Structured JSON immediately available through the 3spread REST API.
Point-in-time, no lookahead
As-reported figures stay separate from later restatements, with every value stamped to when it was actually known. Backtest and train on exactly what was public at each date.
Deterministic and auditable
Every number traces to a filed fact, and every section reconciles to the filer's own totals before it is served. No generated values, and the same filing produces the same result run to run.
One schema across every filer type
Banks, insurers, REITs, funds, and operating companies each map to a consistent, archetype-aware schema, so screens and cross-sectional models run against comparable panels.
Drops into your stack in minutes
REST and JSON with common key authentication, a first-party Python SDK, and clean documentation with copy-paste examples for every endpoint.
Get Started
Choose the path that fits your needs.