Products

All products are integrated into datamule-python, a python package for working with SEC data at scale.

To get an api key click here. For Enterprise inquiries click here.

SEC Library

  • Download SEC submissions without rate limits from 1995 to present.
  • $1/100,000 downloads.

SEC Websocket

Websocket monitoring the SEC's RSS and EFTS endpoint using datamule-python's monitor_submissions() function.

  • Get notified of new submissions via websocket within 200ms.
  • Free. One connection per user.

Datamule RDS (Coming Soon)

Tables extracted from SEC submissions, stored in a SQL database for fast retrieval. Generated using datamule-python's table() function. Charged at $1.00/gb retrieved.

  • Insider Transactions: 6gb (3,4,5)
  • Institutional Holdings: 13gb (13F-HR)
  • Proxy Voting Records: 4gb (N-PX)

Datamule S3 Tables (Coming Soon)

Tables extracted from SEC submissions, stored in a S3 Tables. Generated using datamule-python's table() function. Probably will be charged at $1.00/gb retrieved + marginal read costs.

  • Every SEC XML file converted to relational form, that is not in RDS. Full list to come.

Datamule XBRL (Coming soon)

InLine XBRL extracted from SEC documents using datamule-python's parse_xbrl() function. Probably will be charged at $1.00/gb + marginal read costs.

  • Updates as soon as submissions come out (SEC XBRL endpoints sometimes take hours).
  • No missing data.
  • ~20gb.

Datamule NoSQL Database (Planning Stage)

Every SEC HTML and PDF filed converted into dictionary form. parse() function. Probably will be introduced in phases starting the end of July, once I figure out how to get the right latency at low costs.

Datamule Derived Datasets (Planning Stage)

Datasets generated from the text in SEC submissions using txt2dataset.

  • Executive Compensation (8-K Item 5.02)

Datamule Fundamentals (Planning Stage)

There has been significant demand for standardized company fundamentals data. I have a MVP sitting around from May, will publish soon. Cost: $1.00/gb + marginal read costs.